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Machine Learning for Everybody – Full Course

Machine Learning for Everybody – Full Course

Learn Machine Learning in a way that is accessible to absolute beginners. You will learn the basics of Machine Learning and how to use TensorFlow to implement many different concepts. ✏️ Kylie Ying developed this course. Check out her channel: https://www.youtube.com/c/YCubed ⭐️ Code and Resources ⭐️ 🔗 Supervised learning (classification/MAGIC): https://colab.research.google.com/drive/16w3TDn_tAku17mum98EWTmjaLHAJcsk0?usp=sharing 🔗 Supervised learning (regression/bikes): https://colab.research.google.com/drive/1m3oQ9b0oYOT-DXEy0JCdgWPLGllHMb4V?usp=sharing 🔗 Unsupervised learning (seeds): https://colab.research.google.com/drive/1zw_6ZnFPCCh6mWDAd_VBMZB4VkC3ys2q?usp=sharing 🔗 Dataets (add a note that for the bikes dataset, they may have to open the downloaded csv file and remove special characters) 🔗 MAGIC dataset: https://archive.ics.uci.edu/ml/datasets/MAGIC+Gamma+Telescope 🔗 Bikes dataset: https://archive.ics.uci.edu/ml/datasets/Seoul+Bike+Sharing+Demand 🔗 Seeds/wheat dataset: https://archive.ics.uci.edu/ml/datasets/seeds 🏗 Google provided a grant to make this course possible. ⭐️ Contents ⭐️ ⌨️ (0:00:00) Intro ⌨️ (0:00:58) Data/Colab Intro ⌨️ (0:08:45) Intro to Machine Learning ⌨️ (0:12:26) Features ⌨️ (0:17:23) Classification/Regression ⌨️ (0:19:57) Training Model ⌨️ (0:30:57) Preparing Data ⌨️ (0:44:43) K-Nearest Neighbors ⌨️ (0:52:42) KNN Implementation ⌨️ (1:08:43) Naive Bayes ⌨️ (1:17:30) Naive Bayes Implementation ⌨️ (1:19:22) Logistic Regression ⌨️ (1:27:56) Log Regression Implementation ⌨️ (1:29:13) Support Vector Machine ⌨️ (1:37:54) SVM Implementation ⌨️ (1:39:44) Neural Networks ⌨️ (1:47:57) Tensorflow ⌨️ (1:49:50) Classification NN using Tensorflow ⌨️ (2:10:12) Linear Regression ⌨️ (2:34:54) Lin Regression Implementation ⌨️ (2:57:44) Lin Regression using a Neuron ⌨️ (3:00:15) Regression NN using Tensorflow ⌨️ (3:13:13) K-Means Clustering ⌨️ (3:23:46) Principal Component Analysis ⌨️ (3:33:54) K-Means and PCA Implementations 🎉 Thanks to our Champion and Sponsor supporters: 👾 Raymond Odero 👾 Agustín Kussrow 👾 aldo ferretti 👾 Otis Morgan 👾 DeezMaster -- Learn to code for free and get a developer job: https://www.freecodecamp.org Read hundreds of articles on programming: https://freecodecamp.org/news
2022年09月27日
00:00:00 - 03:53:53
No Black Box Machine Learning Course – Learn Without Libraries

No Black Box Machine Learning Course – Learn Without Libraries

In this No Black Box Machine Learning Course in JavaScript, you will gain a deep understanding of machine learning systems by coding without relying on libraries. This unique approach not only demystifies the inner workings of machine learning but also significantly enhances software development skills. ✏️ Course created by @Radu (PhD in Computer Science) 🎥 Watch part two: https://youtu.be/3wwiOSxDAmg HOMEWORK 🏠 1st assignment spreadsheet: https://docs.google.com/spreadsheets/d/16wIddJ9jKAAvJOXPcF0gNRx39AOE9A2-mQeK6UR2qnY/edit?usp=sharing 🏠 Submit all other assignments to Radu's Discord Server: https://discord.com/invite/gJFcF5XVn9 GITHUB LINKS 💻 Drawing App: https://github.com/gniziemazity/drawing-app 💻 Data: https://github.com/gniziemazity/drawing-data 💻 Custom Chart Component: https://github.com/gniziemazity/javascript_chart 💻 Full Course Code (In Parts): https://github.com/gniziemazity/ml-course PREREQUISITES 🎥 Interpolation: https://youtu.be/J_puRs40GhM 🎥 Linear Algebra: https://youtu.be/nzyOCd9FcCA 🎥 Trigonometry: https://youtu.be/xK3vKWMFVgw LINKS 🔗 Check out the Recognizer we'll build in this course: https://radufromfinland.com/projects/ml/recognizer 🔗 Draw for Radu, Call for help video: https://youtu.be/Yw2QZ1vq2ek 🔗 Draw for Radu, Data collection tool: https://radufromfinland.com/projects/ml 🔗 Radu's Self-driving Car Course: https://www.youtube.com/playlist?list=PLB0Tybl0UNfYoJE7ZwsBQoDIG4YN9ptyY 🔗 Radu's older Machine Learning video: https://youtu.be/QXB1ytG95gs 🔗 CHART TUTORIAL (mentioned at 01:45:27): https://youtu.be/n8uCt1TSGKE 🔗 CHART CODE: https://github.com/gniziemazity/javascript_chart TOOLS 🔧 Visual Studio Code: https://code.visualstudio.com/download 🔧 Google Chrome: https://www.google.com/chrome 🔧 Node JS: https://nodejs.org/en/download (make sure you add 'node' and 'npm' to the PATH environment variables when asked!) TIMESTAMPS ⌨️(0:00:00) Introduction ⌨️(0:05:04) Drawing App ⌨️(0:46:46) Homework 1 ⌨️(0:47:05) Working with Data ⌨️(1:08:54) Data Visualizer ⌨️(1:29:52) Homework 2 ⌨️(1:30:05) Feature Extraction ⌨️(1:38:07) Scatter Plot ⌨️(1:46:12) Custom Chart ⌨️(2:01:03) Homework 3 ⌨️(2:01:35) Nearest Neighbor Classifier ⌨️(2:43:21) Homework 4 (better box) ⌨️(2:43:53) Data Scaling ⌨️(2:54:45) Homework 5 ⌨️(2:55:23) K Nearest Neighbors Classifier ⌨️(3:04:18) Homework 6 ⌨️(3:04:49) Model Evaluation ⌨️(3:21:29) Homework 7 ⌨️(3:22:01) Decision Boundaries ⌨️(3:39:26) Homework 8 ⌨️(3:39:59) Python & SkLearn ⌨️(3:50:35) Homework 9
2023年04月17日
00:00:00 - 03:51:31
Better Way to Learn

Better Way to Learn

Start learning today: https://www.datacamp.com
2021年03月10日
00:00:00 - 00:00:33
Data Analysis with Python for Excel Users - Full Course

Data Analysis with Python for Excel Users - Full Course

Learn how to use Python and Pandas for data analysis. This course will be especially helpful if you have experience with Excel, but that is not required. Learn how to create pivot tables, work with data, and make visualizations using Python, Pandas, and Jupyter Notebook. 💻 Source Code & Datasets: https://github.com/ifrankandrade/python-course-for-excel-users 🔗 Datasets: https://drive.google.com/drive/folders/12hFh6RPlX5bWzSqpoMvAeT94RCjCvHw5?usp=sharing ✏️ Course developed by Frank Andrade. 🔗 YouTube Channel: https://www.youtube.com/c/FrankAndrade5 🔗 PDF Python Cheat Sheet for this Course: https://artificialcorner.com/p/redeem-my-udemy-courses-for-free 🔗 My Complete Python Courses for Data Analysis & Data Science: https://www.udemy.com/user/frank-andrade-13/ ⭐️ Course Contents ⭐️ ⌨️ (0:00:00) Intro ⌨️ (0:01:48) Install Python and Jupyter Notebook with Anaconda ⌨️ (0:03:53) Jupyter Notebook Interface ⌨️ (0:13:56) Cell Types and Cell Mode ⌨️ (0:21:34) Jupyter Notebook Shortcuts ⌨️ (0:26:39) Module 1 - Hello World ⌨️ (0:30:30) Data Type ⌨️ (0:39:10) Variables ⌨️ (0:46:53) Lists ⌨️ (1:11:14) Dictionaries ⌨️ (1:21:50) IF Statement ⌨️ (1:28:04) FOR Loop ⌨️ (1:33:49) Functions ⌨️ (1:40:59) Modules ⌨️ (1:44:41) Module 2 -Introduction to Pandas ⌨️ (1:51:08) How to create a dataframe ⌨️ (2:07:34) How to show a dataframe ⌨️ (2:14:24) Basic Attributes, Functions and Methods ⌨️ (2:26:17) Selecting One Column from a Dataframe ⌨️ (2:32:13) Selecting Two or More Columns from a Dataframe ⌨️ (2:37:50) Add New Column to a Dataframe (Simple Assignment) ⌨️ (2:47:51) Operations in dataframes ⌨️ (2:56:04) The value_counts() method ⌨️ (3:00:16) Sort a DataFrame with the sort_values() method ⌨️ (3:09:56) Module 3: Introduction to Pivot Tables in Pandas ⌨️ (3:14:42) The pivot() method ⌨️ (3:20:49) The pivot_table() method ⌨️ (3:29:00) Data Visualization with Pandas (New Dataset + Pivot Table) ⌨️ (3:38:38) Lineplot ⌨️ (3:43:05) Barplot ⌨️ (3:50:52) Piechart ⌨️ (3:54:36) Save Plot and Export Pivot Table 🎉 Thanks to our Champion and Sponsor supporters: 👾 Raymond Odero 👾 Agustín Kussrow 👾 aldo ferretti 👾 Otis Morgan 👾 DeezMaster -- Learn to code for free and get a developer job: https://www.freecodecamp.org Read hundreds of articles on programming: https://freecodecamp.org/news
2021年11月25日
00:00:00 - 03:57:46
Data Science Essentials – Crash Course in A/B Testing with Case Study

Data Science Essentials – Crash Course in A/B Testing with Case Study

In this applied Data Science Crash Course, we cover everything you need to know about A/B testing, from the concepts to the practical details they can apply in business. The course merges in-depth statistical analysis (think hypothesis testing, significance levels, and the nitty-gritty of pooled estimates, test statistics, p-values, and assessing statistical significance) with the kind of data science theories big tech firms rely on, all alongside practical Python tutorials for real-world test implementation. Plus, there's a real-life case study thrown in to help you understand the concepts more. ✏️ Course created by Tatev Karen Aslanyan. More from Tatev here: https://lunartech.ai/ ⭐️ Contents ⭐️ ⌨️ (0:00:00) Video Introduction ⌨️ (0:03:49) Introduction to Data Science and A/B Testing ⌨️ (0:05:38) Basics of A/B Testing in Data Science ⌨️ (0:07:06) Key Parameters of A/B Testing for Data Scientists ⌨️ (0:09:24) Formulating Hypotheses and Identifying Primary Metrics in Data Science A/B Testing ⌨️ (0:19:55) Designing an A/B Test: Data Science Approach ⌨️ (0:37:56) Resources for A/B Testing in Data Science ⌨️ (0:39:22) Analyzing A/B Test Results in Python: Data Science Techniques ⌨️ (1:01:00) Data Science Portfolio Project: Case Study with AB Testing ⌨️ (1:04:38) Reintroduction to A/B Testing in the Data Science Process ⌨️ (1:21:07) Data Science Techniques: Loading Data with Pandas for A/B Testing ⌨️ (1:29:19) Data Science Visualization: Using Matplotlib and Seaborn for A/B Test Click Data ⌨️ (1:38:38) Data Science Power Analysis: Understanding A/B Test Model Parameters ⌨️ (1:44:25) Data Science Calculations: Pooled Estimates and Variance for A/B Testing ⌨️ (2:06:48) Computing A/B Test P-Values: Data Science Methods for Statistical Significance ⌨️ (2:12:42) Practical Significance in A/B Testing: A Data Science Perspective ⌨️ (2:29:07) Conclusion: Wrapping Up A/B Testing in Data Science 🎉 Thanks to our Champion and Sponsor supporters: 👾 davthecoder 👾 jedi-or-sith 👾 南宮千影 👾 Agustín Kussrow 👾 Nattira Maneerat 👾 Heather Wcislo 👾 Serhiy Kalinets 👾 Justin Hual 👾 Otis Morgan 👾 Oscar Rahnama -- Learn to code for free and get a developer job: https://www.freecodecamp.org Read hundreds of articles on programming: https://freecodecamp.org/news
2024年04月16日
00:00:00 - 02:33:06
Harvard CS50 (2023) – Full Computer Science University Course

Harvard CS50 (2023) – Full Computer Science University Course

Learn the basics of computer science from Harvard University. This is CS50, an introduction to the intellectual enterprises of computer science and the art of programming. The course is taught live every year and this is the 2023 version. 💻 Slides, source code, and more at https://cs50.harvard.edu/x. ⭐️ Course Contents ⭐️ ⌨️ (00:00:00) Lecture 0 - Scratch ⌨️ (02:05:47) Lecture 1 - C ⌨️ (04:35:19) Lecture 2 - Arrays ⌨️ (06:59:38) Lecture 3 - Algorithms ⌨️ (09:01:13) Lecture 4 - Memory ⌨️ (11:26:33) Lecture 5 - Data Structures ⌨️ (13:42:44) Lecture 6 - Python ⌨️ (15:58:02) Lecture 7 - SQL ⌨️ (18:18:30) Lecture 8 - HTML, CSS, JavaScript ⌨️ (20:58:14) Lecture 9 - Flask ⌨️ (23:19:07) Lecture 10 - Emoji ⌨️ (25:05:28) Cybersecurity --- HOW TO JOIN CS50 COMMUNITIES Discord: https://discord.gg/cs50 Ed: https://cs50.harvard.edu/x/ed Facebook Group: https://www.facebook.com/groups/cs50/ Faceboook Page: https://www.facebook.com/cs50/ GitHub: https://github.com/cs50 Gitter: https://gitter.im/cs50/x Instagram: https://instagram.com/cs50 LinkedIn Group: https://www.linkedin.com/groups/7437240/ LinkedIn Page: https://www.linkedin.com/school/cs50/ Medium: https://cs50.medium.com/ Quora: https://www.quora.com/topic/CS50 Reddit: https://www.reddit.com/r/cs50/ Slack: https://cs50.edx.org/slack Snapchat: https://www.snapchat.com/add/cs50 SoundCloud: https://soundcloud.com/cs50 Stack Exchange: https://cs50.stackexchange.com/ TikTok: https://www.tiktok.com/@cs50 Twitter: https://twitter.com/cs50 YouTube: https://www.youtube.com/cs50 HOW TO FOLLOW DAVID J. MALAN Facebook: https://www.facebook.com/dmalan GitHub: https://github.com/dmalan Instagram: https://www.instagram.com/davidjmalan/ LinkedIn: https://www.linkedin.com/in/malan/ TikTok: https://www.tiktok.com/@davidjmalan Twitter: https://twitter.com/davidjmalan LICENSE CC BY-NC-SA 4.0 Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International Public License https://creativecommons.org/licenses/by-nc-sa/4.0/ 🎉 Thanks to our Champion and Sponsor supporters: 👾 davthecoder 👾 jedi-or-sith 👾 南宮千影 👾 Agustín Kussrow 👾 Nattira Maneerat 👾 Heather Wcislo 👾 Serhiy Kalinets 👾 Justin Hual 👾 Otis Morgan 👾 Oscar Rahnama -- Learn to code for free and get a developer job: https://www.freecodecamp.org Read hundreds of articles on programming: https://freecodecamp.org/news
2023年10月24日
00:00:00 - 25:51:23
PySpark Full Course [2024] |  Learn PySpark | PySpark Tutorial | Edureka

PySpark Full Course [2024] | Learn PySpark | PySpark Tutorial | Edureka

🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐏𝐲𝐒𝐩𝐚𝐫𝐤 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐂𝐨𝐮𝐫𝐬𝐞 (Use code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎") : https://www.edureka.co/pyspark-certification-training This Edureka PySpark Full Course video will help you understand and learn PySpark in detail. This Spark tutorial is ideal for both beginners as well as professionals who want to master PySpark concepts. 🔴 Subscribe to our channel to get video updates. Hit the subscribe button above: https://goo.gl/6ohpTV 🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 🔵 DevOps Online Training: http://bit.ly/3VkBRUT 🌕 AWS Online Training: http://bit.ly/3ADYwDY 🔵 React Online Training: http://bit.ly/3Vc4yDw 🌕 Tableau Online Training: http://bit.ly/3guTe6J 🔵 Power BI Online Training: http://bit.ly/3VntjMY 🌕 Selenium Online Training: http://bit.ly/3EVDtis 🔵 PMP Online Training: http://bit.ly/3XugO44 🌕 Salesforce Online Training: http://bit.ly/3OsAXDH 🔵 Cybersecurity Online Training: http://bit.ly/3tXgw8t 🌕 Java Online Training: http://bit.ly/3tRxghg 🔵 Big Data Online Training: http://bit.ly/3EvUqP5 🌕 RPA Online Training: http://bit.ly/3GFHKYB 🔵 Python Online Training: http://bit.ly/3Oubt8M 🌕 Azure Online Training: http://bit.ly/3i4P85F 🔵 GCP Online Training: http://bit.ly/3VkCzS3 🌕 Microservices Online Training: http://bit.ly/3gxYqqv 🔵 Data Science Online Training: http://bit.ly/3V3nLrc 🌕 CEHv12 Online Training: http://bit.ly/3Vhq8Hj 🔵 Angular Online Training: http://bit.ly/3EYcCTe 🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐑𝐨𝐥𝐞-𝐁𝐚𝐬𝐞𝐝 𝐂𝐨𝐮𝐫𝐬𝐞𝐬 🔵 DevOps Engineer Masters Program: http://bit.ly/3Oud9PC 🌕 Cloud Architect Masters Program: http://bit.ly/3OvueZy 🔵 Data Scientist Masters Program: http://bit.ly/3tUAOiT 🌕 Big Data Architect Masters Program: http://bit.ly/3tTWT0V 🔵 Machine Learning Engineer Masters Program: http://bit.ly/3AEq4c4 🌕 Business Intelligence Masters Program: http://bit.ly/3UZPqJz 🔵 Python Developer Masters Program: http://bit.ly/3EV6kDv 🌕 RPA Developer Masters Program: http://bit.ly/3OteYfP 🔵 Web Development Masters Program: http://bit.ly/3U9R5va 🌕 Computer Science Bootcamp Program : http://bit.ly/3UZxPBy 🔵 Cyber Security Masters Program: http://bit.ly/3U25rNR 🌕 Full Stack Developer Masters Program : http://bit.ly/3tWCE2S 🔵 Automation Testing Engineer Masters Program : http://bit.ly/3AGXg2J 🌕 Python Developer Masters Program : https://bit.ly/3EV6kDv 🔵 Azure Cloud Engineer Masters Program: http://bit.ly/3AEBHzH 🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐬 🌕 Professional Certificate Program in DevOps with Purdue University: https://bit.ly/3Ov52lT 🔵 Advanced Certificate Program in Data Science with E&ICT Academy, IIT Guwahati: http://bit.ly/3V7ffrh 🌕 Artificial and Machine Learning PGD with E&ICT Academy NIT Warangal: http://bit.ly/3OuZ3xs 📢📢 𝐓𝐨𝐩 𝟏𝟎 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 2023 𝐒𝐞𝐫𝐢𝐞𝐬 📢📢 ⏩ NEW Top 10 Technologies To Learn In 2023 - https://youtu.be/udD_GQVDt5g 📌𝐓𝐞𝐥𝐞𝐠𝐫𝐚𝐦: https://t.me/edurekaupdates 📌𝐓𝐰𝐢𝐭𝐭𝐞𝐫: https://twitter.com/edurekain 📌𝐋𝐢𝐧𝐤𝐞𝐝𝐈𝐧: https://www.linkedin.com/company/edureka 📌𝐈𝐧𝐬𝐭𝐚𝐠𝐫𝐚𝐦: https://www.instagram.com/edureka_learning/ 📌𝐅𝐚𝐜𝐞𝐛𝐨𝐨𝐤: https://www.facebook.com/edurekaIN/ 📌𝐒𝐥𝐢𝐝𝐞𝐒𝐡𝐚𝐫𝐞: https://www.slideshare.net/EdurekaIN 📌𝐂𝐚𝐬𝐭𝐛𝐨𝐱: https://castbox.fm/networks/505?country=IN 📌𝐌𝐞𝐞𝐭𝐮𝐩: https://www.meetup.com/edureka/ 📌𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐲: https://www.edureka.co/community/ Got a question on the topic? Please share it in the comment section below and our experts will answer it for you. Please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free) for more information. #yt:cc=on #pyspark full course #pyspark full course 2023 #complete pyspark course #Pyspark tutorial for beginners #pyspark tutorial #pyspark online training #Pyspark training #pyspark tutorial jupyter notebook #Introduction to PySpark for Beginners #spark with python #data analytics using pyspark #apache spark with python #pyspark dataframes #pyspark rdd #introduction to pyspark #pyspark api #what is pyspark #pyspark edureka #apache spark edureka #edureka
2023年02月02日
00:00:00 - 03:58:31
AWS Certified Cloud Practitioner Training 2020 - Full Course

AWS Certified Cloud Practitioner Training 2020 - Full Course

This course will help you become an AWS Certified Cloud Practitioner. You will get a complete understanding of the AWS Cloud platform and be prepared to take the certification exam. This knowledge and certification will open up job opportunities. You will be able to prove your expertise in AWS and cloud computing. The exam can be taken anywhere as an online proctored exam. 🎥 Course developed by Andrew Brown of ExamPro. Check out the ExamPro YouTube channel: https://www.youtube.com/channel/UC2EsmbKnDNE7y1N3nZYCuGw 🔗 ExamPro AWS Obsessed Certification Training: https://www.exampro.co 🔗 LinkedIn: https://www.linkedin.com/company/exam... 🐦 Twitter: https://twitter.com/examproco 📷 Instagram: https://www.instagram.com/exampro.co/ ⭐️ Course Contents ⭐️ ☁️ Introduction ⌨️ (0:00:00) Meet Your Instructor Andrew Brown ⌨️ (0:00:40) Why Get AWS Cloud Practitioner Certified? ⌨️ (0:06:40) Exam Guide Overview ☁️ Cloud Concepts ⌨️ (0:09:57) What is Cloud Computing? ⌨️ (0:12:10) Six Advantages and Benefits of Cloud Computing ⌨️ (0:14:42) Types of Cloud Computing ⌨️ (0:16:48) Cloud Computing Deployment Models ☁️ AWS Global Infrastructure ⌨️ (0:19:27) Introduction and Map Overview ⌨️ (0:20:30) Regions ⌨️ (0:24:30) Availability Zones ⌨️ (0:25:42) Edge Locations ⌨️ (0:27:27) GovCloud Regions ☁️ Getting Started ⌨️ (0:29:20) Creating an AWS Account ⌨️ (0:32:43) Billing Preferences, Budgets and Alarms ⌨️ (0:40:09) Change IAM Users Sign-in Link ⌨️ (0:41:14) Activate MFA on Root Account ⌨️ (0:43:40) Create individual IAM user ⌨️ (0:48:44) Set a password policy ☁️ Hands On ⌨️ (0:49:50) Intro and Regions ⌨️ (0:51:03) EC2 ⌨️ (0:55:36) Sessions Manager ⌨️ (0:58:36) AMI ⌨️ (1:00:32) Auto Scaling Groups ⌨️ (1:07:31) Elastic Load Balancer ⌨️ (1:12:47) S3 ⌨️ (1:14:29) CloudFront ⌨️ (1:16:52) RDS ⌨️ (1:22:00) Lambda ☁️ EC2 Pricing Models ⌨️ (1:25:28) Introduction ⌨️ (1:25:46) On-Demand ⌨️ (1:26:19) Reserved ⌨️ (1:28:52) Spot ⌨️ (1:30:38) Dedicated ⌨️ (1:32:11) EC2 Pricing CheatSheet ☁️ Billing and Pricing ⌨️ (1:35:04) Free Services ⌨️ (1:36:08) AWS Support Plans ⌨️ (1:40:05) Follow Along - Lets create a support case ⌨️ (1:44:05) AWS Marketplace ⌨️ (1:45:05) Follow Along - Marketplace subscription ⌨️ (1:50:45) AWS Trusted Advisor ⌨️ (1:54:13) Follow Along Trusted Advisor ⌨️ (1:55:43) Consolidated Billing ⌨️ (1:56:54) Consolidated Billing Volume Discounts ⌨️ (1:58:36) AWS Cost Explorer ⌨️ (2:00:16) AWS Cost Explorer Follow Along ⌨️ (2:04:16) AWS Budgets ⌨️ (2:06:31) AWS Budgets Follow Along ⌨️ (2:10:24) TCO Calculator ⌨️ (2:11:20) TCO Calculator Follow ALong ⌨️ (2:14:44) AWS Landing Zone ⌨️ (2:17:28) Resource Groups and Tagging ⌨️ (2:18:37) Resource Groups Follow Along ⌨️ (2:23:40) AWS QuickStart ⌨️ (2:26:48) AWS Cost and Usage Report ⌨️ (2:27:32) Cost and Usage Follow Along ☁️ Technology Overview ⌨️ (2:30:18) AWS Organizations and Accounts ⌨️ (2:31:43) AWS Organizations Follow Along ⌨️ (2:44:13) AWS Networking ⌨️ (2:47:27) Database Services ⌨️ (2:51:31) Provisioning Services ⌨️ (2:56:01) Computing Services ⌨️ (3:00:05) Storage Services ⌨️ (3:03:52) Business Centric Services ⌨️ (3:07:28) Enterprise Integration ⌨️ (3:09:13) Logging Services ⌨️ (3:12:33) Know your Initialisms ☁️ Security ⌨️ (3:13:49) Shared Responsibility Model ⌨️ (3:15:34) AWS Compliance programs ⌨️ (3:17:59) AWS Artifact ⌨️ (3:19:05) AWS Artifact Follow Along ⌨️ (3:21:35) Amazon Inspector ⌨️ (3:23:04) AWS WAF ⌨️ (3:24:17) AWS Shield ⌨️ (3:27:42) Penetration Testing ⌨️ (3:29:29) Guard Duty ⌨️ (3:31:13) Key Management Service ⌨️ (3:32:50) Amazon Macie ⌨️ (3:35:06) Security Groups vs NACLs ⌨️ (3:37:02) AWS VPN ☁️ Variation Study ⌨️ (3:38:10) Cloud* Service ⌨️ (3:40:14) *Connect Service ⌨️ (3:41:28) Elastic Transcoder vs Media Convert ⌨️ (3:42:50) SNS vs SQS ⌨️ (3:45:17) Inspector vs Trusted Advisor ⌨️ (3:46:41) ALB vs NLB vs CLB ⌨️ (3:49:07) SNS vs SES ⌨️ (3:50:58) Artifact vs Inspector ☁️ Summary ⌨️ (3:51:49) Journey's End ⌨️ (3:52:10) Booking Your Exam ⌨️ (3:57:34) Thank You and Good Luck! ⭐️ More AWS Courses ⭐️ 🎥 AWS Certified Developer Associate Training: https://youtu.be/RrKRN9zRBWs 🎥 AWS Certified Solutions Architect Associate Training: https://youtu.be/Ia-UEYYR44s 🎥 AWS for Startups - Deploying with AWS: https://youtu.be/U3VSJhaC4kc -- Learn to code for free and get a developer job: https://www.freecodecamp.org Read hundreds of articles on programming: https://medium.freecodecamp.org #AWS Certified Cloud Practitioner #AWS Certified #AWS Certified Cloud #AWS #2019 #Training #Exam #AWS Certified Cloud Practitioner exam #Practitioner #amazon web services #aws cloud #AWS Certifications #EC2 #EBS #EFS #RDS #S3 #AWS CLI #DynamoDB #AWS Serverless #AWS Lambda #CLF-C01 #aws certification training #AWS Cloud Practitioner #AWS Cloud Training #Certified #certification #aws certified solutions architect #how to get aws certified #how to pass #how to #Cloud Computing
2019年10月24日
00:00:00 - 03:58:01
Learn Python - Full Course for Beginners [Tutorial]

Learn Python - Full Course for Beginners [Tutorial]

This course will give you a full introduction into all of the core concepts in python. Follow along with the videos and you'll be a python programmer in no time! Click the ⚙️ to change to a dub track in Spanish, Arabic, or Portuguese, or Hindi. (Hindi dubbed via Melt Labs - https://www.withmelt.com/) Want more from Mike? He's starting a coding RPG/Bootcamp - https://simulator.dev/ ⭐️ Contents ⭐ ⌨️ (0:00) Introduction ⌨️ (1:45) Installing Python & PyCharm ⌨️ (6:40) Setup & Hello World ⌨️ (10:23) Drawing a Shape ⌨️ (15:06) Variables & Data Types ⌨️ (27:03) Working With Strings ⌨️ (38:18) Working With Numbers ⌨️ (48:26) Getting Input From Users ⌨️ (52:37) Building a Basic Calculator ⌨️ (58:27) Mad Libs Game ⌨️ (1:03:10) Lists ⌨️ (1:10:44) List Functions ⌨️ (1:18:57) Tuples ⌨️ (1:24:15) Functions ⌨️ (1:34:11) Return Statement ⌨️ (1:40:06) If Statements ⌨️ (1:54:07) If Statements & Comparisons ⌨️ (2:00:37) Building a better Calculator ⌨️ (2:07:17) Dictionaries ⌨️ (2:14:13) While Loop ⌨️ (2:20:21) Building a Guessing Game ⌨️ (2:32:44) For Loops ⌨️ (2:41:20) Exponent Function ⌨️ (2:47:13) 2D Lists & Nested Loops ⌨️ (2:52:41) Building a Translator ⌨️ (3:00:18) Comments ⌨️ (3:04:17) Try / Except ⌨️ (3:12:41) Reading Files ⌨️ (3:21:26) Writing to Files ⌨️ (3:28:13) Modules & Pip ⌨️ (3:43:56) Classes & Objects ⌨️ (3:57:37) Building a Multiple Choice Quiz ⌨️ (4:08:28) Object Functions ⌨️ (4:12:37) Inheritance ⌨️ (4:20:43) Python Interpreter Course developed by Mike Dane. Check out his YouTube channel for more great programming courses: https://www.youtube.com/channel/UCvmINlrza7JHB1zkIOuXEbw 🐦Follow Mike on Twitter - https://twitter.com/mike_dane 🔗If you liked this video, Mike accepts donations on his website: https://www.mikedane.com/contribute/ ⭐️Other full courses by Mike Dane on our channel ⭐️ 💻C: https://youtu.be/KJgsSFOSQv0 💻C++: https://youtu.be/vLnPwxZdW4Y 💻SQL: https://youtu.be/HXV3zeQKqGY 💻Ruby: https://youtu.be/t_ispmWmdjY 💻PHP: https://youtu.be/OK_JCtrrv-c 💻C#: https://youtu.be/GhQdlIFylQ8 -- Learn to code for free and get a developer job: https://www.freecodecamp.org Read hundreds of articles on programming: https://medium.freecodecamp.org #python #python tutorial #python language #python full course #python course #learn python #learn python programming #python tutorial for beginners #python tutorial 2018 #python programming tutorial #python programming language #software development #programming tutorial #freecodecamp
2018年07月12日
00:00:00 - 04:26:52
Understanding AI from Scratch – Neural Networks Course

Understanding AI from Scratch – Neural Networks Course

Understanding AI from Scratch – Neuaral Networks Without Libraries Course Learn the fundamentals of Neural Networks by building one from scratch without libraries. You'll manually tweak network parameters to teach a car how to drive within a specially crafted playground. Dr. Radu teaches computer science at a university in Finland, and has over a decade of experience with machine learning and AI, and he emphasizes the importance of revisiting basics in an era of easy-to-use complex models. You will have homework assignments which you can discuss with Dr. Radu on his Discord: discord.gg/gJFcF5XVn9 ✏️ Course developed by @Radu 🏆 Win prizes by following along: https://youtu.be/EhJ7qD5HwpY 🚗 THE PLAYGROUND: https://radufromfinland.com/projects/aiCarPlayground/?s=default 🚙 HELP COLLECT DATA BY RACING: https://radufromfinland.com/projects/aiRacer ⭐ OTHER LINKS ⭐ Phase 1 – Self-Driving Car with JavaScript: https://youtu.be/Rs_rAxEsAvI Phase 2 – Virtual World Filled with Self-Driving Cars: https://youtu.be/5iHejdqYIa8 Vanilla JavaScript Chart Tutorial: https://youtu.be/n8uCt1TSGKE Machine Learning JavaScript Course: https://youtu.be/vDDjtwQDw2k 3b1b's Neural Network Video: https://youtu.be/aircAruvnKk?si=JB6fvUT3Ko1mkU3x Another Playground: https://playground.tensorflow.org Desmos 3D: https://www.desmos.com/3d Another Playground: https://playground.tensorflow.org Top-view Cars Clip: https://youtu.be/jZrjE_ixu18 💻 CODE 💻 1. Phase 1 https://github.com/gniziemazity/self-driving-car 2. Phase 2 https://github.com/gniziemazity/virtual-world 3. Phase 3 https://github.com/gniziemazity/understanding_ai 💻 Use "11. MiniMap" from Phase 2 at 02:36:49 💻 Use "1. Starting Codebase" from Phase 3 in Lesson 6 (if you didn't code anything yet) ☕ Buy Radu a Coffee: https://www.buymeacoffee.com/radum ⚡️Join Radu's Channel: https://youtube.com/@radu/join ⭐ Contents ⭐ ⌨️ (0:00:00) Introduction ⌨️ (0:07:12) The Playground ⌨️ (0:14:34) One Neuron ⌨️ (0:29:07) Clarrifications ⌨️ (0:31:58) Lesson 2 ⌨️ (0:32:16) Genetic Algorithm ⌨️ (0:43:04) 2 Inputs ⌨️ (1:02:42) Hidden Layers ⌨️ (1:13:03) Misconceptions ⌨️ (1:14:18) Lesson 3 (More Outputs) ⌨️ (1:55:59) Lesson 4 (Traffic Rules) ⌨️ (2:24:10) Lesson 5 (Compass Sensor) ⌨️ (2:35:20) The need for Shortest Path ⌨️ (2:37:10) Updating the Self-driving Car codebase ⌨️ (2:57:39) Lesson 6 (Dijkstra's Algorithm) ⌨️ (3:24:03) Lesson 7 (Dijkstra with AI Agents) ⌨️ (3:43:13) Final Challenge
2024年04月02日
00:00:00 - 03:44:18
Harvard CS50’s Introduction to Programming with Python – Full University Course

Harvard CS50’s Introduction to Programming with Python – Full University Course

Learn Python programming from Harvard University. It dives more deeply into the design and implementation of web apps with Python, JavaScript, and SQL using frameworks like Django, React, and Bootstrap. Topics include database design, scalability, security, and user experience. You will learn how to write and use APIs, create interactive UIs, and leverage cloud services like GitHub and Heroku. This course will teach you how to read and write code as well as how to test and “debug” it. It is designed for students with or without prior programming experience who’d like to learn Python specifically. Learn about functions, arguments, and return values (oh my!); variables and types; conditionals and Boolean expressions; and loops. Learn how to handle exceptions, find and fix bugs, and write unit tests; use third-party libraries; validate and extract data with regular expressions; model real-world entities with classes, objects, methods, and properties; and read and write files. Hands-on opportunities for lots of practice. Exercises inspired by real-world programming problems. No software required except for a web browser, or you can write code on your own PC or Mac. Whereas CS50x (the original CS50 course) itself focuses on computer science more generally as well as programming with C, Python, SQL, and JavaScript, this course, aka CS50P, is entirely focused on programming with Python. You can take CS50P before CS50x, during CS50x, or after CS50x. But for an introduction to computer science itself, you should still take CS50x! 💻 Slides, source code, and more at https://cs50.harvard.edu/python ✏️ Dr. David J. Malan teaches this course. 🖥 Watch the original CS50x course: https://youtu.be/8mAITcNt710 ⭐️ Course Contents ⭐️ (00:00:00) Introduction (00:04:48) Lecture 0 - Functions, Variables (01:50:24) Lecture 1 - Conditionals (02:46:23) Lecture 2 - Loops (04:07:10) Lecture 3 - Exceptions (04:51:45) Lecture 4 - Libraries (06:09:15) Lecture 5 - Unit Tests (07:00:22) Lecture 6 - File I/O (08:32:32) Lecture 7 - Regular Expressions (10:37:35) Lecture 8 - Object-Oriented Programming (13:28:47) Lecture 9 - Et Cetera HOW TO JOIN CS50 COMMUNITIES Discord: https://discord.gg/cs50 Ed: https://cs50.harvard.edu/x/ed Facebook Group: https://www.facebook.com/groups/cs50/ Faceboook Page: https://www.facebook.com/cs50/ GitHub: https://github.com/cs50 Gitter: https://gitter.im/cs50/x Instagram: https://instagram.com/cs50 LinkedIn Group: https://www.linkedin.com/groups/7437240/ LinkedIn Page: https://www.linkedin.com/school/cs50/ Medium: https://cs50.medium.com/ Quora: https://www.quora.com/topic/CS50 Reddit: https://www.reddit.com/r/cs50/ Slack: https://cs50.edx.org/slack Snapchat: https://www.snapchat.com/add/cs50 SoundCloud: https://soundcloud.com/cs50 Stack Exchange: https://cs50.stackexchange.com/ TikTok: https://www.tiktok.com/@cs50 Twitter: https://twitter.com/cs50 YouTube: https://www.youtube.com/cs50 HOW TO FOLLOW DAVID J. MALAN Facebook: https://www.facebook.com/dmalan GitHub: https://github.com/dmalan Instagram: https://www.instagram.com/davidjmalan/ LinkedIn: https://www.linkedin.com/in/malan/ TikTok: https://www.tiktok.com/@davidjmalan Twitter: https://twitter.com/davidjmalan LICENSE CC BY-NC-SA 4.0 Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International Public License https://creativecommons.org/licenses/by-nc-sa/4.0/
2023年05月01日
00:00:00 - 15:57:48
Data Science Internship Program | Why Become a Data Scientist | Edureka

Data Science Internship Program | Why Become a Data Scientist | Edureka

🔴 𝐋𝐞𝐚𝐫𝐧 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐅𝐨𝐫 𝐅𝐫𝐞𝐞! 𝐒𝐮𝐛𝐬𝐜𝐫𝐢𝐛𝐞 𝐭𝐨 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐘𝐨𝐮𝐓𝐮𝐛𝐞 𝐂𝐡𝐚𝐧𝐧𝐞𝐥: https://edrk.in/DKQQ4Py 🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚'𝐬 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 𝐅𝐫𝐞𝐞 𝐃𝐞𝐦𝐨 𝐒𝐞𝐬𝐬𝐢𝐨𝐧: https://www.edureka.co/internship/data-science-and-machine-learning-program In this video on Data Science Internship Program, we take you through some facts which will help you understand why Data Science is the job of the century, and Why you should Become a Data Scientist. 📝Feel free to leave any queries or comments in the comment section below, we will be happy to answer📝 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 🔵 DevOps Online Training: https://bit.ly/38Fx6Cx 🌕 AWS Online Training: https://bit.ly/3DZkXDR 🔵 Azure DevOps Online Training: https://bit.ly/37s448u 🌕 Tableau Online Training: https://bit.ly/37oHjCy 🔵 Power BI Online Training: https://bit.ly/3rbpI8e 🌕 Selenium Online Training: https://bit.ly/38uou1b 🔵 PMP Online Training: https://bit.ly/3LJywtI 🌕 Salesforce Online Training: https://bit.ly/3LQzEvS 🔵 Cybersecurity Online Training: https://bit.ly/3uZkDRz 🌕 Java Online Training: https://bit.ly/3LRDN2i 🔵 Big Data Online Training: https://bit.ly/3JfoleQ 🌕 RPA Online Training: https://bit.ly/35QtmwH 🔵 Python Online Training: https://bit.ly/3DS1dC4 🌕 Azure Online Training: https://bit.ly/3v0cKLD 🔵 GCP Online Training: https://bit.ly/3jiQLKw 🌕 Microservices Online Training: https://bit.ly/37n4GMN 🔵 Data Science Online Training: https://bit.ly/3Jsy9T2 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐑𝐨𝐥𝐞-𝐁𝐚𝐬𝐞𝐝 𝐂𝐨𝐮𝐫𝐬𝐞𝐬 🔵 DevOps Engineer Masters Program: https://bit.ly/3NUTAPS 🌕 Cloud Architect Masters Program: https://bit.ly/3DUVvzy 🔵 Data Scientist Masters Program: https://bit.ly/3v6RTq9 🌕 Big Data Architect Masters Program: https://bit.ly/3uiEJXO 🔵 Machine Learning Engineer Masters Program: https://bit.ly/3Km3Iz9 🌕 Business Intelligence Masters Program: https://bit.ly/35RQ7R3 🔵 Python Developer Masters Program: https://bit.ly/3rxAPIX 🌕 RPA Developer Masters Program: https://bit.ly/3LNiHSJ 🔵 Web Development Masters Program: https://bit.ly/3ukSpBy 🌕 Computer Science Bootcamp Program : https://bit.ly/38FA9KZ 🔵 Cyber Security Masters Program: https://bit.ly/3NVqYGh 🌕 Full Stack Developer Masters Program : https://bit.ly/3LTxV93 🔵 Automation Testing Engineer Masters Program : https://bit.ly/3rxAPIX 🌕 Python Developer Masters Program : https://bit.ly/3ucD3yX 🔵 Azure Cloud Engineer Masters Program: https://bit.ly/3LTxZ8N 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐏𝗼𝘀𝘁 𝗚𝗿𝗮𝗱𝘂𝗮𝘁𝗲 𝐂𝐨𝐮𝐫𝐬𝐞𝐬 🌕 Post Graduate Program in DevOps with Purdue University: https://bit.ly/3LP7h0Z 📌𝐓𝐞𝐥𝐞𝐠𝐫𝐚𝐦: https://t.me/edurekaupdates 📌𝐓𝐰𝐢𝐭𝐭𝐞𝐫: https://twitter.com/edurekain 📌𝐋𝐢𝐧𝐤𝐞𝐝𝐈𝐧: https://www.linkedin.com/company/edureka 📌𝐈𝐧𝐬𝐭𝐚𝐠𝐫𝐚𝐦: https://www.instagram.com/edureka_learning/ 📌𝐅𝐚𝐜𝐞𝐛𝐨𝐨𝐤: https://www.facebook.com/edurekaIN/ 📌𝐒𝐥𝐢𝐝𝐞𝐒𝐡𝐚𝐫𝐞: https://www.slideshare.net/EdurekaIN 📌𝐂𝐚𝐬𝐭𝐛𝐨𝐱: https://castbox.fm/networks/505?country=IN 📌𝐌𝐞𝐞𝐭𝐮𝐩: https://www.meetup.com/edureka/ 📌𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐲: https://www.edureka.co/community/ What are the prerequisites to enroll in this course? No pre-requisites are required to enroll in this Data Science & Machine Learning program. You will be taught Python programming from the very basics, then Machine learning, then Deep Learning and Tableau. All you need is to have basic computer skills, dedication and proactiveness to learn. Can I master Data Science and Machine Learning in such a short duration? Yes, the internship programs by Edureka are specially designed to make experts in the most trending fields and technologies in a short period of time. The content for this course is created by Technology Specialists, Data Science & Machine Learning Experts and Engineering Managers from top tech companies. Based on their years of experience and domain knowledge, they have chosen the most important concepts in an easily understandable format in this single course. These key concepts are fundamental to becoming a top Data Scientist and cracking interviews in top tech companies. This program will follow a similar training structure as followed by top tech companies and will also cover important details from their interviews. #data science internship #why become a data scientist #data science #edureka
2022年04月08日
00:00:00 - 00:01:27
SQL Tutorial - Full Database Course for Beginners

SQL Tutorial - Full Database Course for Beginners

In this course, we'll be looking at database management basics and SQL using the MySQL RDBMS. Want more from Mike? He's starting a coding RPG/Bootcamp - https://simulator.dev/ The course is designed for beginners to SQL and database management systems, and will introduce common database management topics. Throughout the course we'll be looking at various topics including schema design, basic C.R.U.D operations, aggregation, nested queries, joins, keys and much more. You can get PopSQL to follow along here: http://popsql.com/freecodecamp 🔗Company Database Code: https://www.giraffeacademy.com/databases/sql/creating-company-database/ ⭐️ Contents ⭐ ⌨️ (0:00) Introduction ⌨️ (2:36) What is a Database? ⌨️ (23:10) Tables & Keys ⌨️ (43:31) SQL Basics ⌨️ (52:26) MySQL Windows Installation ⌨️ (1:01:59) MySQL Mac Installation ⌨️ (1:15:49) Creating Tables ⌨️ (1:31:05) Inserting Data ⌨️ (1:38:17) Constraints ⌨️ (1:48:11) Update & Delete ⌨️ (1:56:11) Basic Queries ⌨️ (2:08:37) Company Database Intro ⌨️ (2:14:05) Creating Company Database ⌨️ (2:30:27 ) More Basic Queries ⌨️ (2:26:24) Functions ⌨️ (2:45:13) Wildcards ⌨️ (2:53:53) Union ⌨️ (3:01:36) Joins ⌨️ (3:11:49) Nested Queries ⌨️ (3:21:52) On Delete ⌨️ (3:30:05) Triggers ⌨️ (3:42:12) ER Diagrams Intro ⌨️ (3:55:53) Designing an ER Diagram ⌨️ (4:08:34) Converting ER Diagrams to Schemas Course developed by Mike Dane. Check out his YouTube channel for more great programming courses: https://www.youtube.com/channel/UCvmINlrza7JHB1zkIOuXEbw 🐦Follow Mike on Twitter: http://twitter.com/mike_dane 🔗The Giraffe Academy website: http://www.giraffeacademy.com/ -- Learn to code for free and get a developer job: https://www.freecodecamp.org Read hundreds of articles on programming: https://medium.freecodecamp.org #sql #sql tutorial #sql course #sql for beginners #Structured Query Language #sql course for beginners #learn sql #free sql course #web development #mysql #mysql tutorial #mysql course #rdbms
2018年07月03日
00:00:00 - 04:20:39
Harvard CS50 – Full Computer Science University Course

Harvard CS50 – Full Computer Science University Course

Learn the basics of computer science from Harvard University. This is CS50, an introduction to the intellectual enterprises of computer science and the art of programming. 💻 Slides, source code, and more at https://cs50.harvard.edu/x. ⭐️ Course Contents ⭐️ ⌨️ (00:00:00) Lecture 0 - Scratch ⌨️ (01:45:08) Lecture 1 - C ⌨️ (04:13:23) Lecture 2 - Arrays ⌨️ (06:20:43) Lecture 3 - Algorithms ⌨️ (08:37:55) Lecture 4 - Memory ⌨️ (11:03:17) Lecture 5 - Data Structures ⌨️ (13:15:36) Lecture 6 - Python ⌨️ (15:39:25) Lecture 7 - SQL ⌨️ (18:00:55) Lecture 8 - HTML, CSS, JavaScript ⌨️ (20:23:38) Lecture 9 - Flask ⌨️ (22:39:01) Lecture 10 - Emoji ⌨️ (24:02:50) Cybersecurity Recorded in 2021. --- HOW TO JOIN CS50 COMMUNITIES Discord: https://discord.gg/cs50 Ed: https://cs50.harvard.edu/x/ed Facebook Group: https://www.facebook.com/groups/cs50/ Faceboook Page: https://www.facebook.com/cs50/ GitHub: https://github.com/cs50 Gitter: https://gitter.im/cs50/x Instagram: https://instagram.com/cs50 LinkedIn Group: https://www.linkedin.com/groups/7437240/ LinkedIn Page: https://www.linkedin.com/school/cs50/ Medium: https://cs50.medium.com/ Quora: https://www.quora.com/topic/CS50 Reddit: https://www.reddit.com/r/cs50/ Slack: https://cs50.edx.org/slack Snapchat: https://www.snapchat.com/add/cs50 SoundCloud: https://soundcloud.com/cs50 Stack Exchange: https://cs50.stackexchange.com/ TikTok: https://www.tiktok.com/@cs50 Twitter: https://twitter.com/cs50 YouTube: https://www.youtube.com/cs50 HOW TO FOLLOW DAVID J. MALAN Facebook: https://www.facebook.com/dmalan GitHub: https://github.com/dmalan Instagram: https://www.instagram.com/davidjmalan/ LinkedIn: https://www.linkedin.com/in/malan/ TikTok: https://www.tiktok.com/@davidjmalan Twitter: https://twitter.com/davidjmalan LICENSE CC BY-NC-SA 4.0 Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International Public License https://creativecommons.org/licenses/by-nc-sa/4.0/ 🎉 Thanks to our Champion and Sponsor supporters: 👾 Raymond Odero 👾 Agustín Kussrow 👾 aldo ferretti 👾 Otis Morgan 👾 DeezMaster -- Learn to code for free and get a developer job: https://www.freecodecamp.org Read hundreds of articles on programming: https://freecodecamp.org/news
2022年10月19日
00:00:00 - 24:51:37
C Programming Tutorial for Beginners

C Programming Tutorial for Beginners

This course will give you a full introduction into all of the core concepts in the C programming language. Want more from Mike? He's starting a coding RPG/Bootcamp - https://simulator.dev/ ⭐️ Course Contents ⭐️ ⌨️ (0:00:00) Introduction ⌨️ (0:01:22) Windows Setup ⌨️ (0:05:02) Mac Setup ⌨️ (0:09:04) Hello World ⌨️ (0:12:51) Drawing a Shape ⌨️ (0:20:56) Variables ⌨️ (0:32:25) Data Types ⌨️ (0:38:32) Printf ⌨️ (0:45:22) Working With Numbers ⌨️ (0:52:20) Comments ⌨️ (0:56:00) Constants ⌨️ (1:00:13) Getting User Input ⌨️ (1:12:08) Building a Basic Calculator ⌨️ (1:17:43) Building a Mad Libs Game ⌨️ (1:26:29) Arrays ⌨️ (1:36:44) Functions ⌨️ (1:45:37) Return Statement ⌨️ (1:53:21) If Statements ⌨️ (2:07:11) Building a Better Calculator ⌨️ (2:14:51) Switch Statements ⌨️ (2:21:27) Structs ⌨️ (2:29:43) While Loops ⌨️ (2:37:48) Building a Guessing Game ⌨️ (2:50:11) For Loops ⌨️ (2:59:05) 2D Arrays & Nested Loops ⌨️ (3:09:10) Memory Addresses ⌨️ (3:17:20) Pointers ⌨️ (3:27:41) Dereferencing Pointers ⌨️ (3:32:37) Writing Files ⌨️ (3:41:52) Reading Files Course developed by Mike Dane. Check out his YouTube channel for more great programming courses: https://www.youtube.com/channel/UCvmINlrza7JHB1zkIOuXEbw 🐦Follow Mike on Twitter: https://twitter.com/GiraffeAcademy 🔗The Giraffe Academy website: http://www.giraffeacademy.com/ ⭐️Other full courses by Giraffe Academy on our channel ⭐️ 💻Python: https://youtu.be/rfscVS0vtbw 💻SQL: https://youtu.be/HXV3zeQKqGY 💻Ruby: https://youtu.be/t_ispmWmdjY 💻PHP: https://youtu.be/OK_JCtrrv-c -- Learn to code for free and get a developer job: https://www.freecodecamp.org Read hundreds of articles on programming: https://medium.freecodecamp.org #c tutorial #c course #c programming language #c programming language tutorial #c programming language tutorial for beginners #c programming course #C (Programming Language) #Programming Language (Software Genre) #tutorial #beginners #programming #examples #language basics #literals #data types #functions #loops #arrays #pointers #structures #For Loop #While Loop #Do While Loop #User Input #If #Switch
2018年08月16日
00:00:00 - 03:46:13
Microsoft Excel Tutorial for Beginners - Full Course

Microsoft Excel Tutorial for Beginners - Full Course

Lean how to use Microsoft Excel from the beginning by creating 6 real-world projects. Most of the content applies to Google Sheets as well. You will learn how to - enter data, - navigate through a spreadsheet, - create formulas to solve problems, - create charts and graphs, - understand relative vs absolute references, - import and export data, - implement VLOOKUP, - use pivot tables, - split and concatenate text, - and more. ✏️ Course developed by Shad Sluiter. Check out his YouTube channel: https://www.youtube.com/user/shadsluiter ⭐️ Course Contents ⭐️ ⌨️ (0:00:00) Intro ⌨️ (0:04:14) Payroll ⌨️ (0:39:35) Gradebook ⌨️ (0:57:22) Decision Factors ⌨️ (1:04:40) Sales Database ⌨️ (1:23:13) Car Inventory ⌨️ (1:59:29) Problem Solving Templates ⭐️ Special thanks to our Champion supporters! ⭐️ 🏆 Loc Do 🏆 Joseph C 🏆 DeezMaster -- Learn to code for free and get a developer job: https://www.freecodecamp.org Read hundreds of articles on programming: https://freecodecamp.org/news #google #sheets #excel #excel course #excel tutorial #excel for beginners #exsel
2020年10月28日
00:00:00 - 02:26:10
Learn Python Backend Development by Building 3 Projects [Full Course]

Learn Python Backend Development by Building 3 Projects [Full Course]

This video is a full project-based backend web development course. In this course, you will learn how to build 3 full backend web applications. ✏️ Course developed by Code With Tomi. Check out his channel: https://www.youtube.com/c/CodeWithTomi Backend Mastery Course - https://backendmastery.com/ Projects Built: 1. AI Web App 💻 Github: https://github.com/tomitokko/ai-blog-article-generator 2. Netflix Clone 💻 Github: https://github.com/tomitokko/django-netflix-clone 3. Spotify Clone 💻 Github: https://github.com/tomitokko/spotify-clone 🔗 API Link: https://rapidapi.com/DataFanatic/api/spotify-scraper ⭐️ Course Contents ⭐️ ⌨️ (0:00:00) Intro ⌨️ (0:01:30) AI Web App ⌨️ (3:07:35) Netflix Clone ⌨️ (6:11:33) Spotify Clone - Part 1 ⌨️ (6:33:25) Spotify Clone - Part 2 ⌨️ (6:55:45) Spotify Clone - Part 3 ⌨️ (9:50:21) Spotify Clone - Part 4 ⌨️ (10:07:48) Outro 🎉 Thanks to our Champion and Sponsor supporters: 👾 davthecoder 👾 jedi-or-sith 👾 南宮千影 👾 Agustín Kussrow 👾 Nattira Maneerat 👾 Heather Wcislo 👾 Serhiy Kalinets 👾 Justin Hual 👾 Otis Morgan 👾 Oscar Rahnama -- Learn to code for free and get a developer job: https://www.freecodecamp.org Read hundreds of articles on programming: https://freecodecamp.org/news
2024年04月10日
00:00:00 - 10:08:02
Generative AI Full Course – Gemini Pro, OpenAI, Llama, Langchain, Pinecone, Vector Databases & More

Generative AI Full Course – Gemini Pro, OpenAI, Llama, Langchain, Pinecone, Vector Databases & More

Learn about generative models and different frameworks, investigating the production of text and visual material produced by artificial intelligence. This course was originally recorded live. Instructors: Krish Naik, Sunny Savita, and Boktiar Ahmed Bappy. For course details, visit: https://ineuron.ai/course/generative-ai-community-edition ⌨️ (00:00:00) DAY 1: Introduction to Generative AI Community Course ⌨️ (01:44:14) DAY 2: Introduction to OpenAI and understanding the OpenAI API ⌨️ (03:37:49) DAY 3: Introduction to LangChain ⌨️ (05:16:48) Day 4: Hugging Face API + Langchain ⌨️ (07:13:08) DAY 5: Memory in Langchain ⌨️ (09:07:53) DAY 6: LLM Generative AI Project using OpenAI & LangChain ⌨️ (11:03:29) DAY 7: LLM Generative AI Project & Deployment ⌨️ (13:09:02) DAY 8: Introduction to Vector Database for AI & LLM ⌨️ (14:52:41) DAY 9: Mastering Vector Databases with Pinecone ⌨️ (17:02:19) DAY 10: Mastering ChromaDB Vector Databases ⌨️ (19:04:25) DAY 11: Introducing Meta Llama 2 ⌨️ (20:54:33) DAY 12: End to End Medical Chatbot Project, Part 1 ⌨️ (22:36:05) DAY 13: End to End Medical Chatbot Project, Part 2 ⌨️ (24:22:10) Generative AI: Everything You need to know about Gemini Pro LLM Models ⌨️ (26:16:33) End to End Gen AI Project using Google Gemini Pro ⌨️ (28:24:14) Webinar - Generative AI Revolution: The Future 🎉 Thanks to our Champion and Sponsor supporters: 👾 davthecoder 👾 jedi-or-sith 👾 南宮千影 👾 Agustín Kussrow 👾 Nattira Maneerat 👾 Heather Wcislo 👾 Serhiy Kalinets 👾 Justin Hual 👾 Otis Morgan 👾 Oscar Rahnama -- Learn to code for free and get a developer job: https://www.freecodecamp.org Read hundreds of articles on programming: https://freecodecamp.org/news
2024年02月27日
00:00:00 - 30:18:02
Learn JavaScript - Full Course for Beginners

Learn JavaScript - Full Course for Beginners

This complete 134-part JavaScript tutorial for beginners will teach you everything you need to know to get started with the JavaScript programming language. ✏️ Course created by @beau Click the ⚙️ to change to a dub track in Hindi (Dubbed via Melt Labs - https://www.withmelt.com/) ⭐️Curriculum⭐️ This is a stand-alone video but it follows the JavaScript curriculum at freecodecamp.org. Access the curriculum here: 🔗 Basic JavaScript: https://learn.freecodecamp.org/javascript-algorithms-and-data-structures/basic-javascript 🔗 ES6 JavaScript: https://learn.freecodecamp.org/javascript-algorithms-and-data-structures/es6 ⭐️Code⭐️ This course was created using scrimba.com. Access the course there along with the code: 🔗 Basic JavaScript: https://scrimba.com/playlist/pny4ghw 🔗 ES6 JavaScript: https://scrimba.com/playlist/p7v3gCd ⭐️Course Contents⭐️ 0:00:00 Introduction 0:01:24 Running JavaScript 0:04:23 Comment Your Code 0:05:56 Declare Variables 0:06:15 Storing Values with the Assignment Operator 0:11:31 Initializing Variables with the Assignment Operator 0:11:58 Uninitialized Variables 0:12:40 Case Sensitivity in Variables 0:14:05 Basic Math 0:15:30 Increment and Decrement 0:16:22 Decimal Numbers 0:16:48 Multiply Two Decimals 0:17:18 Divide Decimals 0:17:33 Finding a Remainder 0:18:22 Augmented Math Operations 0:21:19 Declare String Variables 0:22:01 Escaping Literal Quotes 0:23:44 Quoting Strings with Single Quotes 0:25:18 Escape Sequences 0:26:46 Plus Operator 0:27:49 Plus Equals Operator 0:29:01 Constructing Strings with Variables 0:30:14 Appending Variables to Strings 0:31:11 Length of a String 0:32:01 Bracket Notation 0:33:27 Understand String Immutability 0:34:23 Find the Nth Character 0:36:28 Word Blanks 0:40:44 Arrays 0:41:43 Nest Arrays 0:42:33 Access Array Data 0:43:34 Modify Array Data 0:44:48 Access Multi-Dimensional Arrays 0:46:30 push() 0:47:29 pop() 0:48:33 shift() 0:49:23 unshift() 0:50:36 Shopping List 0:51:41 Write Reusable with Functions 0:53:41 Arguments 0:55:43 Global Scope 0:59:31 Local Scope 1:00:46 Global vs Local Scope in Functions 1:02:40 Return a Value from a Function 1:03:55 Undefined Value returned 1:04:52 Assignment with a Returned Value 1:05:52 Stand in Line 1:08:41 Boolean Values 1:09:24 If Statements 1:11:51 Equality Operators 1:19:17 And / Or Operators 1:21:37 Else Statements 1:22:27 Else If Statements 1:23:30 Logical Order in If Else Statements 1:24:45 Chaining If Else Statements 1:27:45 Golf Code 1:32:15 Switch Statements 1:41:11 Returning Boolean Values from Functions 1:42:20 Return Early Pattern for Functions 1:43:38 Counting Cards 1:49:11 Build Objects 1:50:46 Dot Notation 1:51:33 Bracket Notation 1:52:47 Variables 1:53:34 Updating Object Properties 1:54:30 Add New Properties to Object 1:55:19 Delete Properties from Object 1:55:54 Objects for Lookups 1:57:43 Testing Objects for Properties 1:59:15 Manipulating Complex Objects 2:01:00 Nested Objects 2:01:53 Nested Arrays 2:03:06 Record Collection 2:10:15 While Loops 2:11:35 For Loops 2:13:56 Odd Numbers With a For Loop 2:15:28 Count Backwards With a For Loop 2:17:08 Iterate Through an Array with a For Loop 2:19:43 Nesting For Loops 2:22:45 Do...While Loops 2:24:12 Profile Lookup 2:28:18 Random Fractions and Whole Numbers 2:31:46 parseInt Function 2:33:29 Ternary Operator 2:34:57 Multiple Ternary Operators 2:36:57 var vs let 2:41:32 const Keyword 2:43:40 Mutate an Array Declared with const 2:44:52 Prevent Object Mutation 2:47:17 Arrow Functions 2:53:04 Default Parameters 2:54:00 Rest Operator 2:55:31 Spread Operator 2:57:18 Destructuring Assignment 3:06:39 Template Literals 3:10:43 Simple Fields 3:12:24 Declarative Functions 3:12:56 class Syntax 3:15:11 getters and setters 3:20:25 import and export 🎥 Want something shorter? Here's a 63-second JavaScript course: https://www.youtube.com/watch?v=OXiyLaNo3NE #javascript tutorial #javascript #javascript tutorial for beginners #programming tutorial #learn javascript for beginners #javascript course #java script tutorial #js tutorial #java scripting tutorial for beginners #javascript tutorials #javascript for beginners #java script #javascript for beginners 2018 #programming tutorial javascript #javascript (programming language) #javascript course for beginners #javascript crash course #learn to code #learn to program #coding tutorial
2018年12月10日
00:00:00 - 03:26:43
Machine Learning & Neural Networks without Libraries – No Black Box Course

Machine Learning & Neural Networks without Libraries – No Black Box Course

Welcome to this No Black Box Machine Learning Course in JavaScript. It’s a course where we code without using libraries because it’s the best way to learn all inner workings of a machine learning system and you’ll greatly improve your software development skills as well. The goal in this course is to build a web app that learns to recognize drawings. This is phase 2, where we increase the accuracy of the method we developed in Phase 1. We do this by implementing more sophisticated features and using other classification methods (like the Neural Network). In Phase 2 we also learn about Data Cleaning, Confusion Matrices, Geometry and the difference between Vector and Raster data (pixels). 🎥 No Black Box Phase 1 Course: https://youtu.be/vDDjtwQDw2k ✏️ Course created by @Radu (PhD in Computer Science) 📁 Data: https://github.com/gniziemazity/drawing-data 💻 Code: https://github.com/gniziemazity/ml-course-phase-2 💻 Ilya's code: https://gist.github.com/id-ilych/8630fb273e5c5a0b64ca1dc080d68b63 💻 Neural Network Code: https://github.com/gniziemazity/neural-network Phase 3 Poll: https://forms.office.com/e/QTMCLLaV24 ⭐️ Other Resources ⭐️ Recognizer we build in this course: https://radufromfinland.com/projects/ml/recognizer Euclidean Distance Video: https://youtu.be/3rPwfmrCwVw Interpolation Video: https://youtu.be/J_puRs40GhM Draw the Portal Game Tutorial (Inspired from Dr. Strange): https://youtu.be/0SxiyLk2IMM Why the Circle has the Largest Area: https://youtu.be/CFBa2ezTQJQ Recognizing drawings via webcam: https://youtu.be/QXB1ytG95gs Self-driving Car Course: https://youtu.be/Rs_rAxEsAvI Discord Server: https://discord.com/invite/gJFcF5XVn9 Scikit-learn documentation: http://scikit-learn.org/stable/modules/generated/sklearn.neural_network.MLPClassifier.html ⭐️ Contents ⭐️ 0:00:00 Introduction 0:04:07 Phase 1 Code Review 0:23:11 Data Cleaning 0:41:30 Confusion Matrix 1:16:00 Euclidean Distance Marker 1:16:06 Measuring the Elongation 1:39:23 Measuring the Roundness 1:59:20 Vector vs Raster (Pixels) 2:22:40 Neural Networks 3:04:49 Optimizing Neural Networks 3:25:15 Deep Neural Networks 🎉 Thanks to our Champion and Sponsor supporters: 👾 davthecoder 👾 jedi-or-sith 👾 南宮千影 👾 Agustín Kussrow 👾 Nattira Maneerat 👾 Heather Wcislo 👾 Serhiy Kalinets 👾 Justin Hual 👾 Otis Morgan 👾 Oscar Rahnama -- Learn to code for free and get a developer job: https://www.freecodecamp.org Read hundreds of articles on programming: https://freecodecamp.org/news
2023年08月29日
00:00:00 - 03:37:32
6 Steps to Expertise  in ANYTHING - No Talent Required!

6 Steps to Expertise in ANYTHING - No Talent Required!

Visit https://brilliant.org/PythonProgrammer/ to get started for free and you'll get an extra 20% off too 😃 This is a video about Bloom's Taxonomy. Benjamin Bloom was a researcher. He spent most of his life researching how we learn, how we're taught and how we develop expertise. He concluded that experts are made not born. Join this channel to get access to perks: https://www.youtube.com/channel/UC68KSmHePPePCjW4v57VPQg/join 🍿 WATCH NEXT: Want to Read Faster? Watch this - https://youtu.be/5RfMMBTLDms Become a Super Learner using science - https://youtu.be/TDYa2pPMx0k ⌚️Timestamps: 00:00 Introduction 00:32 6 Steps to Expertise 00:50 Why Bloom's method is useful 01:15 It's called Bloom's Taxonomy 01:36 How to do it 01:53 Step 1 Remember 02:14 Step 2 Understand 02:43 Step 3 Apply 03:10 Lower Order Thinking 03:31 Step 4 Analyze 04:09 Critical Thinking 05:33 Step 5 Evaluate 06:02 Step 6 Create 06:39 Thank you Brilliant Learn Data Science (affiliate link) 🎓 Data Quest - https://bit.ly/3yClqbZ Learn Python with Giles 🎓 Exploratory Data Analysis with Python and Pandas - https://bit.ly/2QXMpxJ 🎓 Complete Python Programmer Bootcamp - http://bit.ly/2OwUA09 📚 My favourite python books for beginners (affiliate links) 📗 Python Crash Course 2nd Edition https://amzn.to/33tATAE 📘 Automate the Boring Stuff with Python https://amzn.to/3qM1DFl 📙 Python Basics - A Practical Introduction to Python 3 https://amzn.to/3fHRMdb 📕 Python Programming An Introduction to Computer Science https://amzn.to/33VeQCr 📗 Invent Your Own Computer Games with Python https://amzn.to/3FM3H4b 🆓 Free Python Resource https://python-programming.quantecon.org/intro.html (This is a great introduction to python) ⚙ My Gear 💡 BenQ Screen Bar Desk Light - https://amzn.to/3tH6ysL 🎧 Sony Noise Cancelling Headphones - https://amzn.to/3tLl82G 📱 Social Media https://www.instagram.com/gilesmcmullen/ https://twitter.com/GilesMcMullen 👌 SUBSCRIBE to ME!👌 https://www.youtube.com/channel/UC68KSmHePPePCjW4v57VPQg?sub_confirmation=1 #Bloom's Taxonomy #how to learn
2024年03月27日
00:00:00 - 00:08:15
Introduction to Programming and Computer Science - Full Course

Introduction to Programming and Computer Science - Full Course

In this course, you will learn basics of computer programming and computer science. The concepts you learn apply to any and all programming languages and will be a good base onto which you can build your skills. This video is meant for those who are interested in computer science and programming but have no idea where to start and have little to no background information on coding. ✏️Course created by Steven and Sean from NullPointer Exception. Check out their channel: https://www.youtube.com/channel/UCmWDlvMYYEbW42B8JyxFBcA ⭐️ Course Contents ⭐️ ⌨️ (00:05) Introduction ⌨️ (01:37) What is Programming? ⌨️ (06:19) How do we write Code? ⌨️ (11:44) How do we get Information from Computers? ⌨️ (14:46) What can Computers Do? ⌨️ (20:43) What are Variables? ⌨️ (25:02) How do we Manipulate Variables? ⌨️ (31:54) What are Conditional Statements? ⌨️ (37:54) What are Array’s? ⌨️ (44:26) What are Loops? ⌨️ (49:37) What are Errors? ⌨️ (55:22) How do we Debug Code? ⌨️ (1:00:25) What are Functions? ⌨️ (1:09:52) How can we Import Functions? ⌨️ (1:13:45) How do we make our own Functions? ⌨️ (1:21:56) What are ArrayLists and Dictionaries? ⌨️ (1:27:38) How can we use Data Structures? ⌨️ (1:36:27) What is Recursion? ⌨️ (1:43:42) What is Pseudocode? ⌨️ (1:50:40) Choosing the Right Language? ⌨️ (1:55:34) Applications of Programming -- Learn to code for free and get a developer job: https://www.freecodecamp.org Read hundreds of articles on programming: https://freecodecamp.org/news
2020年04月21日
00:00:00 - 01:59:09
C++ Programming Course - Beginner to Advanced

C++ Programming Course - Beginner to Advanced

Learn modern C++ 20 programming in this comprehensive course. 💻 Source code: https://github.com/rutura/The-C-20-Masterclass-Source-Code ✏️ Course developed by Daniel Gakwaya. Check out his YouTube channel: https://www.youtube.com/channel/UCUYUFiuJ5XZ3JYtbq5dXRKQ 🐦 Twitter: https://twitter.com/learnqtguide 🔗 Want more from Daniel? https://www.learnqt.guide/udemy-discounted-9/ 🔗 Join Daniel's discord server for support: https://discord.com/invite/PcATcraESW ⭐️ Course Contents ⭐ (0:00:00) Introduction (0:04:32) Chapter 1: Setting up the tools Tools Installing C++ Compilers on Windows Installing VS Code on Windows Configuring Visual Studio Code for C++ on Windows Installing C++ Compilers on Linux Installing Visual Studio Code on Linux Configuring Visual Studio Code for C++ on Linux Installing C++ Compilers on MacOs Installing Visual Studio Code on MacOs Configuring Visual Studio Code for C++ on MacOs Online Compilers (1:43:01) Chapter 2: Diving in Your First C++ Program Comments Errors and Warnings Statements and Functions Data input and output C++ Program Execution Model C++ core language Vs Standard library Vs STL (3:00:47) Chapter 3: Variables and data types Variables and data types Introduction Number Systems Integer types : Decimals and Integers Integer Modifiers Fractional Numbers Booleans Characters And Text Auto Assignments Variables and data types summary (4:46:46) Chapter 4: Operations on Data Introduction on Data operations Basic Operations Precedence and Associativity Prefix/Postfix Increment & Decrement Compound Assignment Operators Relational Operators Logical Operators Output formatting Numeric Limits Math Functions Weird Integral Types Data Operations Summary (7:01:58) Chapter 5: Flow Control Flow Control Introduction If Statements Else If Switch Ternary Operators Flow Control Summary (7:53:49) Chapter 6: Loops Loops Introduction For Loop While Loop Do While Loop (8:47:08) Chapter 7: Arrays Introduction to Arrays Declaring and using arrays Size of an array Arrays of characters Array Bounds (9:53:23) Chapter 8: Pointers Introduction to Pointers Declaring and using pointers Pointer to char Program Memory Map Revisited Dynamic Memory Allocation Dangling Pointers When new Fails Null Pointer Safety Memory Leaks Dynamically allocated arrays (12:11:04) Chapter 9: References Introduction to References Declaring and using references Comparing pointers and references References and const (12:44:29) Chapter 10: Character Manipulation and Strings Introduction to Strings Character Manipulation C-string manipulation C-String concatenation and copy Introducing std::string Declaring and using std::string (14:12:47) Chapter 11: Functions The One Definition Rule First Hand on C++ Functions Function Declaration and Function Definitions Multiple Files - Compilation Model Revisited Pass by value Pass by pointer Pass by reference (16:03:20) Chapter 12: Getting Things out of functions Introduction to getting things out of functions Input and output parameters Returning from functions by value (16:32:35) Chapter 13: Function Overloading Function Overloading Introduction Overloading with different parameters (16:49:00) Chapter 14: Lambda functions Intro to Lambda Functions Declaring and using lambda functions Capture lists Capture all in context Summary (17:40:08) Chapter 15: Function Templates Intro to function templates Trying out function templates Template type deduction and explicit arguments Template parameters by reference Template specialization (19:04:31) Chapter 16: C++20 Concepts Crash course Intro to C++20 Concepts Using C++20 Concepts Building your own C++20 Concepts Zooming in on the requires clause Combining C++20 Concepts C++20 Concepts and auto (20:15:40) Chapter 17: Classes Intro to classes Your First Class C++ Constructors Defaulted constructors Setters and Getters Class Across Multiple Files Arrow pointer call notation Destructors Order of Constructor Destructor Calls The this Pointer struct Size of objects (22:52:43) Chapter 18: Inheritance Introduction to Inheritance First try on Inheritance Protected members Base class access specifiers : Zooming in Closing in on Private Inheritance Resurrecting Members Back in Context Default Constructors with Inheritance Custom Constructors With Inheritance Copy Constructors with Inheritance Inheriting Base Constructors Inheritance and Destructors Reused Symbols in Inheritance (26:21:03) Chapter 19: Polymorphism Introduction to Polymorphism Static Binding with Inheritance Dynamic binding with virtual functions Size of polymorphic objects and slicing Polymorphic objects stored in collections (array) Override Overloading, overriding and function hiding Inheritance and Polymorphism at different levels Inheritance and polymorphism with static members Final Virtual functions with default arguments Virtual Destructors Dynamic casts Polymorphic Functions and Destructors Pure virtual functions and abstract classes Abstract Classes as Interfaces
2022年02月17日
00:00:00 - 31:07:30
Algorithmic Trading – Machine Learning & Quant Strategies Course with Python

Algorithmic Trading – Machine Learning & Quant Strategies Course with Python

In this comprehensive course on algorithmic trading, you will learn about three cutting-edge trading strategies to enhance your financial toolkit. In the first module, you'll explore the Unsupervised Learning Trading Strategy, utilizing S&P 500 stocks data to master features, indicators, and portfolio optimization. Next, you'll leverage the power of social media with the Twitter Sentiment Investing Strategy, ranking NASDAQ stocks based on engagement and evaluating performance against the QQQ return. Lastly, the Intraday Strategy will introduce you to the GARCH model, combining it with technical indicators to capture both daily and intraday signals for potential lucrative positions. ✏️ Course developed by @lachone_ 💻 Code and course resources: https://github.com/Luchkata/Algorithmic_Trading_Machine_Learning/tree/main 🔗 You can sign up for the data API used here: https://intelligence.financialmodelingprep.com/pricing-plans?couponCode=lachezaryt&utm_source=youtube&utm_medium=youtube&utm_campaign=lachezarfcc 🔗 Learn more about Lachezar and Quantitative Trading with Python here: https://www.quantfactory.ai/p/become-a-quant-trader1 ⭐️ Contents ⭐️ 0:00:00 - Algorithmic Trading & Machine Learning Fundamentals 0:15:25 - Building An Unsupervised Learning Trading Strategy 2:05:08 - Building A Twitter Sentiment Investing Strategy 2:28:08 - Building An Intraday Strategy Using GARCH Model 🎉 Thanks to our Champion and Sponsor supporters: 👾 davthecoder 👾 jedi-or-sith 👾 南宮千影 👾 Agustín Kussrow 👾 Nattira Maneerat 👾 Heather Wcislo 👾 Serhiy Kalinets 👾 Justin Hual 👾 Otis Morgan 👾 Oscar Rahnama -- Learn to code for free and get a developer job: https://www.freecodecamp.org Read hundreds of articles on programming: https://freecodecamp.org/news
2023年10月26日
00:00:00 - 02:59:20
AWS Certified Cloud Practitioner Certification Course (CLF-C02) - Pass the Exam!

AWS Certified Cloud Practitioner Certification Course (CLF-C02) - Pass the Exam!

Prepare for the AWS Certified Cloud Practitioner Certification (CLF-C02) and pass! ✏️ Developed by Andrew Brown of ExamPro 🔗 https://twitter.com/andrewbrown Get your Free Practice and Downloadable Cheatsheets 🎁 https://www.exampro.co/clf-c02 ⭐️ Course Contents ⭐️ ☁️ 00:00:00 Introduction ☁️ 00:46:02 Cloud Concepts ☁️ 01:19:34 Getting Started ☁️ 01:52:15 Digital Transformation ☁️ 02:00:18 The Benefits of Cloud ☁️ 02:06:32 Global Infrastructure ☁️ 02:49:18 Cloud Architecture ☁️ 03:12:40 Management and Developer Tools ☁️ 04:50:13 Shared Responsibility Model ☁️ 05:09:10 Compute ☁️ 06:02:37 Storage Services ☁️ 06:40:15 Databases ☁️ 07:10:28 Networking ☁️ 07:32:16 EC2 ☁️ 08:23:59 EC2 Pricing Models ☁️ 08:42:58 Identity ☁️ 09:28:44 Application Integration ☁️ 09:40:11 Containers ☁️ 09:51:00 Governance ☁️ 10:19:27 Provisioning ☁️ 10:40:22 Serverless ☁️ 10:44:52 Windows on AWS ☁️ 10:53:33 Logging ☁️ 11:07:26 ML AI BigData ☁️ 11:44:41 AWS Well Architected Framework ☁️ 12:06:24 TCO and Migration ☁️ 12:22:30 Billing and Pricing ☁️ 13:17:39 Security ☁️ 14:02:57 Variation Stud 🎉 Thanks to our Champion and Sponsor supporters: 👾 davthecoder 👾 jedi-or-sith 👾 南宮千影 👾 Agustín Kussrow 👾 Nattira Maneerat 👾 Heather Wcislo 👾 Serhiy Kalinets 👾 Justin Hual 👾 Otis Morgan 👾 Oscar Rahnama -- Learn to code for free and get a developer job: https://www.freecodecamp.org Read hundreds of articles on programming: https://freecodecamp.org/news
2023年12月06日
00:00:00 - 14:17:52
Data Analyst Bootcamp for Beginners (SQL, Tableau, Power BI, Python, Excel, Pandas, Projects, more)

Data Analyst Bootcamp for Beginners (SQL, Tableau, Power BI, Python, Excel, Pandas, Projects, more)

Become a data analyst by following along with this massive course. You will learn the core topics that data analysts need to know. And along the way, you will build plenty of projects to gain hands-on experience. ✏️ Bootcamp developed by @AlexTheAnalyst 🔗 Analyst Builder: https://www.analystbuilder.com/ 💻 Access the datasets used here: https://github.com/AlexTheAnalyst ⭐️ Chapters ⭐️ 00:00:00 Introduction 00:01:10 How to Become a Data Analyst in 2023 (Completely FREE!) 00:15:08 SQL Basics Tutorial | Installing SQL Server Management Studio and Create Tables 00:24:44 SQL Basics Tutorial | Select + From Statements 00:30:57 SQL Basics Tutorial | Where Statement 00:38:54 SQL Basics Tutorial | Group By + Order By Statements 00:47:03 Intermediate SQL Tutorial | Inner/Outer Joins | Use Cases 01:02:55 Intermediate SQL Tutorial | Unions | Union Operator 01:08:19 Intermediate SQL Tutorial | Case Statement | Use Cases 01:15:44 Intermediate SQL Tutorial | Having Clause 01:19:15 Intermediate SQL Tutorial | Updating/Deleting Data 01:23:51 Intermediate SQL Tutorial | Aliasing 01:30:02 Intermediate SQL Tutorial | Partition By 01:34:16 Advanced SQL Tutorial | CTE (Common Table Expression) 01:37:59 Advanced SQL Tutorial | Temp Tables 01:48:18 Advanced SQL Tutorial | String Functions + Use Cases 02:02:06 Advanced SQL Tutorial | Stored Procedures + Use Cases 02:08:20 Advanced SQL Tutorial | Subqueries 02:16:57 Data Analyst Portfolio Project | SQL Data Exploration 03:34:01 Data Analyst Portfolio Project | Data Cleaning in SQL 04:28:41 Pivot Tables in Excel | Excel Tutorial 04:46:15 Formulas in Excel | Excel Tutorial 05:20:07 XLOOKUP in Excel | Excel Tutorial 05:38:52 Conditional Formatting in Excel | Excel Tutorial 05:59:49 Charts in Excel | Excel Tutorial 06:14:58 Cleaning Data in Excel | Excel Tutorial 06:36:02 Full Project in Excel | Excel Tutorial 07:16:49 How to Install Tableau and Create First Visualization | Tableau Tutorial 07:33:53 How to use Calculated Fields and Bins in Tableau | Tableau Tutorial 07:40:17 How to Create Visualizations in Tableau | Tableau Tutorial 07:54:20 How to use Joins in Tableau | Tableau Tutorial 08:08:47 Full Beginner Project in Tableau | Tableau Tutorial 08:53:02 How to Install Power BI | Building First Visualization | Microsoft Power BI 09:05:51 How to use Power Query in Power BI | Microsoft Power BI 09:18:57 How to Create and Manage Relationships in Power BI | Microsoft Power BI 09:27:33 How to use DAX in Power BI | Microsoft Power BI 09:43:16 How to use Drill Down in Power BI | Microsoft Power BI 09:49:18 How to use Conditional Formatting in Power BI | Microsoft Power BI 09:59:10 How to use Bins and Lists in Power BI | Microsoft Power BI 10:08:40 Popular Visualizations in Power BI | Microsoft Power BI 10:22:54 Full Power BI Guided Project | Microsoft Power BI 11:05:31 Installing Jupyter Notebooks/Anaconda | Python 11:15:34 Variables in Python | Python 11:28:51 Data Types in Python | Python 11:50:48 Comparison, Logical, and Membership Operators in Python | Python 11:58:03 If Else Statements in Python | Python 12:04:42 For Loops in Python | Python 12:13:59 While Loops in Python | Python 12:19:39 Functions in Python | Python 12:32:22 Converting Data Types in Python | Python 12:38:57 Building a BMI Calculator with Python | Python Project 12:53:19 Building an Automated File Sorter in File Explorer using Python | Python Project 13:10:10 Inspecting Web Pages with HTML | Web Scraping in Python 13:16:03 BeautifulSoup + Requests | Web Scraping in Python 13:23:01 Find and Find_All | Web Scraping in Python 13:35:11 Scraping Data from a Real Website | Web Scraping in Python 14:00:33 Reading in Files in Pandas | Python Pandas Tutorials 14:19:49 Filtering Columns and Rows in Pandas | Python Pandas Tutorials 14:31:37 Indexes in Pandas | Python Pandas Tutorials 14:42:59 Group By and Aggregate Functions in Pandas | Python Pandas Tutorials 14:54:04 Merging DataFrames in Pandas | Python Pandas Tutorials 15:16:13 Creating Visualizations using Pandas Library | Python Pandas Tutorials 15:33:02 Data Cleaning in Pandas | Python Pandas Tutorials 16:11:39 Exploratory Data Analysis in Pandas | Python Pandas Tutorials 16:43:52 Amazon Web Scraping Using Python | Data Analyst Portfolio Project 17:31:03 Automating Crypto Website API Pull Using Python | Data Analyst Project 18:22:13 How to Create a Portfolio Website 18:57:39 Create the Perfect Data Analyst Resume 19:15:16 Top 3 Tips on Using LinkedIn to Land a Job 19:22:05 Get Your Data Analyst Bootcamp Certification
2024年01月09日
00:00:00 - 19:23:46
One-Click AI Web Development Tutorial - Learn how to Turn Figma Designs into Working Code using AI

One-Click AI Web Development Tutorial - Learn how to Turn Figma Designs into Working Code using AI

Learn how to turn Figma designs into code using AI. In this course, you will learn how to easily create and deploy frontend code starting with just a design. ✏️ Course developed by @AniaKubow Sample Figma design to follow along: https://www.figma.com/community/file/1344907822759018861/localhost-website Get started with Locofy: https://www.locofy.ai/ 🏗️ Locofy provided a grant to make this course possible. ⭐️ Contents ⭐️ ⌨️ (0:00:00) Introduction ⌨️ (0:01:54) What is Figma? ⌨️ (0:02:22) The design ⌨️ (0:06:28) Locofy Lightning and LocoAI ⌨️ (0:25:18) Let’s build out our app! ⌨️ (0:40:45) Sync to GitHub ⌨️ (0:49:40) Create a Database ⌨️ (0:54:49) Create Authentication ⌨️ (1:28:20) Let’s deploy our app! 🎉 Thanks to our Champion and Sponsor supporters: 👾 davthecoder 👾 jedi-or-sith 👾 南宮千影 👾 Agustín Kussrow 👾 Nattira Maneerat 👾 Heather Wcislo 👾 Serhiy Kalinets 👾 Justin Hual 👾 Otis Morgan 👾 Oscar Rahnama -- Learn to code for free and get a developer job: https://www.freecodecamp.org Read hundreds of articles on programming: https://freecodecamp.org/news
2024年04月11日
00:00:00 - 01:29:35
Welcome to Edureka YouTube Channel | One Stop Solution for Learning Trending Technologies #edureka

Welcome to Edureka YouTube Channel | One Stop Solution for Learning Trending Technologies #edureka

🔴 𝐋𝐞𝐚𝐫𝐧 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐅𝐨𝐫 𝐅𝐫𝐞𝐞! 𝐒𝐮𝐛𝐬𝐜𝐫𝐢𝐛𝐞 𝐭𝐨 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐘𝐨𝐮𝐓𝐮𝐛𝐞 𝐂𝐡𝐚𝐧𝐧𝐞𝐥: https://edrk.in/DKQQ4Py 📌 Visit our Website: https://www.edureka.co/ and use code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎" to get Flat 20% off on our training and certification. 🔥 Edureka salutes your never-give-up spirit and love for learning! Welcome to the 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐘𝐨𝐮𝐓𝐮𝐛𝐞 𝐜𝐡𝐚𝐧𝐧𝐞𝐥, we are your one-stop solution for getting started with trending technologies. Here, you get in-depth tutorials, hands-on demonstrations, interactive live sessions, fun animated videos, and a budding community to learn and grow with trending technologies. 📌Thank you for Subscribing! If you have not, Subscribe now to our channel and click on 🔔 to never miss any updates on trending technology videos we publish: https://bit.ly/3ybeUc1 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐏𝐆 𝐂𝐨𝐮𝐫𝐬𝐞𝐬 🌕 Post Graduate Program in DevOps with Purdue University: https://bit.ly/3zKPF1r 📢📢 𝐏𝐨𝐩𝐮𝐥𝐚𝐫 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 📢📢 🔵 DevOps Online Training: https://bit.ly/3hu6o1J 🌕 AWS Online Training: https://bit.ly/3oqqY4H 🔵 PMP Online Training: https://bit.ly/3ouQZQB 🌕 Python (Data Science) Online Training: https://bit.ly/3uPnHhT 🔵 Selenium Online Training: https://bit.ly/3bpQce3 🌕 Power BI Online Training: https://bit.ly/3uQBcOg 🔵 Tableau Online Training: https://bit.ly/3ogeDQA 🌕 Azure Online Training: https://bit.ly/3bqGFUo 🔵 GCP Online Training: https://bit.ly/2SNebNT 🌕 Salesforce Online Training: https://bit.ly/2RTs50K 🔵 Kubernetes Online Training: https://bit.ly/2STLIGo 🌕 Java Online Training: https://bit.ly/3hAeWEi 🔵 Cyber Security Online Training: https://bit.ly/3hu7muT 🌕 Web Development Online Training: https://bit.ly/2W3o7Vz 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐌𝐚𝐬𝐭𝐞𝐫𝐬 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐬 🔵 DevOps Engineer Masters Program: https://bit.ly/30DKNhd 🌕 Cloud Architect Masters Program: https://bit.ly/3DOef2c 🔵 Data Scientist Masters Program: https://bit.ly/3j9LMMA 🌕 Big Data Architect Masters Program: https://bit.ly/3jbZwGD 🔵 Machine Learning Engineer Masters Program: https://bit.ly/3DXgtwt 🌕 Business Intelligence Masters Program: https://bit.ly/3lQzKZY 🔵 Python Developer Masters Program: https://bit.ly/3vmH2Ic 🌕 RPA Developer Masters Program: https://bit.ly/3BNxto5 🔵 Web Development Masters Program: https://bit.ly/3jbUEBf 🌕 Computer Science Bootcamp Program: https://bit.ly/2ZyX06L 🔵 Automation Testing Engineer Masters Program: https://bit.ly/3HWUojE 🌕 Cyber Security Masters Program: https://bit.ly/3raGy66 🔵 Azure Masters Program: https://bit.ly/3fa5LZ5 🌕 Full Stack Developer Masters Program: https://bit.ly/3qdq3Hs 📢📢 𝐓𝐨𝐩 𝟏𝟎 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 𝟐𝟎𝟐𝟒 𝐒𝐞𝐫𝐢𝐞𝐬 📢📢 ⏩ NEW Top 10 Technologies To Learn In 2024 - https://www.youtube.com/watch?v=vaLXPv0ewHU 📢📢 𝐏𝐨𝐩𝐮𝐥𝐚𝐫 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐏𝐥𝐚𝐲𝐥𝐢𝐬𝐭𝐬 📢📢 ⏩ Top 10 Trending Technologies: https://bit.ly/3oR1ijH ⏩ DevOps Tutorials: https://bit.ly/2RPWUTT ⏩ AWS Tutorials: https://bit.ly/3bvDLxD ⏩ Python Tutorials: https://bit.ly/3ymbTG7 ⏩ Java Tutorials: https://bit.ly/33IQAjK ⏩ Web Development Tutorials: https://bit.ly/3hpMxRl ⏩ CyberSecurity Tutorials: https://bit.ly/3eP7SlK ⏩ Ethical Hacking Tutorials: https://bit.ly/3brcjkk ⏩ PMP Tutorials: https://bit.ly/3yg2r6K ⏩ Machine Learning Tutorials: https://bit.ly/3uPhYZr ⏩ Data Science Tutorials: https://bit.ly/3hwozE6 ⏩ Big Data Tutorials: https://bit.ly/3uTYy5I ⏩ Power Bi Tutorials: https://bit.ly/3ePiDV3 ⏩ Tableau Tutorials: https://bit.ly/3eMpluP ⏩ Selenium Tutorials: https://bit.ly/3yo4JkC ⏩ IoT Tutorials: https://bit.ly/3eMrYgb ⏩ Blockchain Tutorials: https://bit.ly/3bt7JSF ⏩ Azure Tutorials: https://bit.ly/3ffN1a6 ⏩ GCP Tutorials: https://bit.ly/3uPXOhD ⏩ Salesforce Tutorials: https://bit.ly/3w6OZjV ⏩ UiPath Tutorials: https://bit.ly/2Qn6HR2 ⏩ Automation Anywhere Tutorials: https://bit.ly/33Ockuu ⏩ Linux Tutorials: https://bit.ly/3tOCBUi #edureka #OnlineLearning #elearningYouTubeChannel #YouTube #Trending #EdTech #LifeLongLearning #OnlineTraining #OnlineCertification #OnlineCourse #TrendingTechnologies #RidiculouslyCommited #InstructorLedTraining #LiveTraining 📢📢 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐒𝐨𝐜𝐢𝐚𝐥 𝐌𝐞𝐝𝐢𝐚 𝐂𝐡𝐚𝐧𝐧𝐞𝐥𝐬 📢📢 📌𝐓𝐞𝐥𝐞𝐠𝐫𝐚𝐦: https://t.me/edurekaupdates 📌𝐋𝐢𝐧𝐤𝐞𝐝𝐈𝐧: https://www.linkedin.com/company/edureka 📌𝐈𝐧𝐬𝐭𝐚𝐠𝐫𝐚𝐦: https://www.instagram.com/edureka_learning/ 📌𝐓𝐰𝐢𝐭𝐭𝐞𝐫: https://twitter.com/edurekain 📌𝐅𝐚𝐜𝐞𝐛𝐨𝐨𝐤: https://www.facebook.com/edurekaIN/ 📌𝐒𝐥𝐢𝐝𝐞𝐒𝐡𝐚𝐫𝐞: https://www.slideshare.net/EdurekaIN 📌𝐂𝐚𝐬𝐭𝐛𝐨𝐱: https://castbox.fm/networks/505?country=IN 📌𝐌𝐞𝐞𝐭𝐮𝐩: https://www.meetup.com/edureka/ 📌𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐲: https://www.edureka.co/community/ Please write back to us at [email protected] or call us at IND: 9606058406 / US: +18338555775 (toll-free) for more information. #yt:cc=on #edureka #edureka videos #edureka youtube #edureka youtube channel #edureka youtube java #edureka youtube python #edureka youtube machine learning #edureka devops #edureka data science #edureka web development #edureka cyber security #edureka azure #edureka aws #edureka full courses #edureka playlists #edureka channel #edureka certifications #edureka courses #edureka python #edureka java #python edureka
2021年05月15日
00:00:00 - 00:01:18
Python for Beginners – Full Course [Programming Tutorial]

Python for Beginners – Full Course [Programming Tutorial]

Learn the Python programming language in this full course for beginners! You will learn the fundamentals of Python and code two Python programs line-by-line. No previous programming experience is necessary before watching this course. 🔗 Start using Replit: https://join.replit.com/python-students ✏️ Beau Carnes developed this course. Check out one of his other channels: https://youtube.com/beau 💻 Rock, Paper, Scissors Code: https://replit.com/@BeauCarnes/rps-python 💻 Blackjack Code: https://replit.com/@BeauCarnes/blackjack-python 🏗 Replit provided a grant that made this course possible. 🔗 The Python Handbook by Flavio Copes: https://www.freecodecamp.org/news/the-python-handbook/ ⭐️ Course Contents ⭐️ ⌨️ (0:00:00) Introduction Rock, Paper, Scissors Intro Project ⌨️ (0:03:11) RPS - Variables and Functions ⌨️ (0:09:07) RPS - Calling Functions ⌨️ (0:12:31) RPS - Dictionaries ⌨️ (0:15:28) RPS - User Input ⌨️ (0:16:55) RPS - Libraries, Lists, Methods ⌨️ (0:20:45) RPS - Function Arguments ⌨️ (0:22:33) RPS - If Statements ⌨️ (0:25:40) RPS - Concatenating Strings ⌨️ (0:27:13) RPS - f-strings ⌨️ (0:30:26) RPS - Else and Elif Statements ⌨️ (0:33:37) RPS - Refactoring and Nested If ⌨️ (0:38:37) RPS - Accessing Dictionary Values ⌨️ (0:41:55) RPS - Testing Game Fundamentals of Python ⌨️ (0:43:52) Setup Python Locally ⌨️ (0:47:47) Creating New Repl ⌨️ (0:48:45) Variables ⌨️ (0:51:21) Expressions and Statements ⌨️ (0:52:38) Comments ⌨️ (0:54:23) Data Types ⌨️ (1:00:16) Operators ⌨️ (1:00:44) Arithmetic Operators ⌨️ (1:03:52) Comparison Operators ⌨️ (1:05:13) Boolean Operators ⌨️ (1:07:26) Bitwise Operators ⌨️ (1:07:42) is & in Operators ⌨️ (1:08:21) Ternary Operator ⌨️ (1:09:40) Strings ⌨️ (1:12:36) String Methods ⌨️ (1:16:41) Escaping Characters ⌨️ (1:19:23) String Characters & Slicing ⌨️ (1:21:45) Booleans ⌨️ (1:26:07) Number Data Types ⌨️ (1:28:19) Built-in Functions ⌨️ (1:29:50) Enums ⌨️ (1:32:51) User Input ⌨️ (1:34:39) Control Statements ⌨️ (1:36:48) Lists ⌨️ (1:46:21) Sorting Lists ⌨️ (1:49:57) Tuples ⌨️ (1:53:49) Dictionaries ⌨️ (2:01:45) Sets ⌨️ (2:06:10) Functions ⌨️ (2:16:57) Variable Scope ⌨️ (2:18:35) Nested Functions ⌨️ (2:21:37) Closures ⌨️ (2:22:59) Objects ⌨️ (2:26:27) Loops ⌨️ (2:32:01) Break and Continue ⌨️ (2:33:02) Classes ⌨️ (2:39:12) Modules ⌨️ (2:45:55) Arguments from Command Line ⌨️ (2:52:42) Lambda Functions ⌨️ (2:54:51) Map, Filter, Reduce ⌨️ (3:02:41) Recursion ⌨️ (3:04:42) Decorators ⌨️ (3:06:45) Docstrings ⌨️ (3:09:54) Annotations ⌨️ (3:11:30) Exceptions ⌨️ (3:17:09) With ⌨️ (3:18:26) Installing Packages with pip ⌨️ (3:21:39) List Compression ⌨️ (3:23:09) Polymorphism ⌨️ (3:24:23) Operator Overloading Blackjack Card Game Project ⌨️ (3:26:58) Blackjack - Beginning ⌨️ (3:50:13) Blackjack - Deck Class ⌨️ (3:58:45) Blackjack - Card Class ⌨️ (4:03:25) Blackjack - Hand Class ⌨️ (4:21:13) Blackjack - Game Class ⌨️ (4:37:04) Blackjack - Testing ⌨️ (4:39:36) Conclusion -- Learn to code for free and get a developer job: https://www.freecodecamp.org Read hundreds of articles on programming: https://freecodecamp.org/news
2022年08月09日
00:00:00 - 04:40:00
PLEASE Use These 5 Python Decorators

PLEASE Use These 5 Python Decorators

In this tutorial, I'll be unveiling 5 essential Python decorators that every programmer should have in their toolkit. If you're wondering what decorators are and how they can supercharge your Python code, you're in the right place. Throughout this video, I'll dive deep into the world of decorators, explaining their fundamental principles and showcasing real-world examples of how they can streamline your code and make it more efficient. If you want to land a developer job check out my program with Course Careers: https://techwithtim.net/dev Skool community for free resources: https://www.skool.com/software-developer-academy/about Discord server: https://discord.gg/twt 🎞 Video Resources 🎞 Python Decorators Tutorial: https://www.youtube.com/watch?v=tfCz563ebsU Python Dataclasses Tutorial: https://youtu.be/5mMpM8zK4pY?si=wSuNbR5pzI3nldv9 ⏳ Timestamps ⏳ 00:00 | What Is A Decorator? 05:30 | What You NEED To Know 06:14 | @property 10:34 | @staticmethod 12:10 | @classmethod 13:45 | @functools.cache 17:09 | @dataclass Hashtags #TechWithTim #PythonDecorators #PythonProgramming #CodingTips #tech with tim #Python #decorators #Python programming #coding tips #Tech with Tim #Python tutorial #Python functions #Python decorators tutorial #Python programming guide #coding in Python #software development #Python projects #Python programming tips #Python coding #coding for beginners #Python advanced #Python decorators examples #Python development #Python functions tutorial #artificial intelligence #ai #how to code in python #coding tutorial #programming basics
2024年03月19日
00:00:00 - 00:20:12