Introduction
O.. ok. Y... yes sir.
. Table of Content
. Table of Content*
Please change the video description and use the index below
pleaaase answer my question, at hour , i did the exaaact same code but it returned a NAN for all the rows of column language.. what is the problem ?
. Introduction
. Introduction ***
What is data analysis
Please correct me if I'm wrong isnt the description for Data Analysis at also known as Business Intelligence?
Data analysis tools
Data analysis process
Data Analysis vs Data Science
Python and PyData Ecosystem
Python data analysis vs Excel
. Real example data analysis with Python: getting a sense of what you can learn from this course
. Real example data analysis with Python: getting a sense of what you can learn from this course ***
: Real Life Example of a Python/Pandas Data Analysis project
: Real Life Example of a Python/Pandas Data Analysis project ()A demonstration of a real life data analysis project using Python, Pandas, SQL and Seaborn. Don't worry, we'll dig deeper in the following sections🔗 Notebooks: https://github.com/ine-rmotr-curriculum/FreeCodeCamp-Pandas-Real-Life-Example
Real Life Example of a Python/Pandas Data Analysis project
Sir, what do you mean by "spread shits"? @
The !head command, shown around doesn't seem to work any longer.
where do i find the excercises ? You talk about them around
At where Lecture 2 started, look like the Sakila database does not load, anything I can try to load for both lecture 2 and exercise 2? To clarify, the page is slowly loaded, but the noteboook cell does not load.
Hi everyone, can I ask why we have ' ' ' when writing sql query?
Why couldn't I use "or" in that line of code (have to use " | " instead)?
. How to use Jupyter Notebooks
. How to use Jupyter Notebooks ***
: Jupyter Notebooks Tutorial ()
: Jupyter Notebooks Tutorial ()A step by step tutorial to learn how to use Juptyer Notebooks🔗 Twitter Cheat Sheet: https://twitter.com/rmotr_com/status/1122176794696847361🔗 Notebooks: https://github.com/ine-rmotr-curriculum/ds-content-interactive-jupyterlab-tutorial
: Jupyter Notebooks Tutorial starts at and Part 3: Real Life Example of a Python/Pandas Data Analysis project starts at 00:11:11
Jupyter Notebooks Tutorial
i didn't get it
is when he starts to actually teach. Just saying.
. Intro to NumPy
. Intro to NumPy ***
: Intro to NumPy (), (01:30:00)
: Intro to NumPy ()Learn why NumPy was such an important library for the data-processing world in Python. Learn about low level details of computations and memory storage, and why tools like Excel will always be limited when processing large volumes of data.🔗 Notebooks: https://github.com/ine-rmotr-curriculum/freecodecamp-intro-to-numpy
Intro to NumPy
this is just a bookmark for me
Low-level basis: binary numbers, memory footprint
"I'm making it up as we go." That quote says it all about this tutorial. I was expected a lot more organisation from the presenter, but it seems that he is content with a free-flowing presentation without clear signposting. I didn't enjoy this tutorial at all.
at No. isn't that 8 numbers and not 7? In Binary, 0 is a number.
Python is not memory efficient to store numbers since it wraps everything into objects. Whereas in NumPy, we can select the number of bits to represent numbers
In he is able to use a "autocomplete function" very typical in R Studio but I dont know how to do it in Jupyter Notebooks. Anyone can tell me how he does it? Thanks!
NumPy can compute arrays faster than Python
NumPy tutorial: NumPy arrays, matrices
I think part of the video is broken, around -1:36:00
- i tried writing the same code exactly -but when printing the shape i got (1, 4, 3) instead of (2, 2, 3) like in the video -explanation?
You can also do things like this A [ [ 1 , 2 : 5 , -1 ] , 2 ]
Can i ask the word use in ? Is it "next permutations" or something? Tks
@ what is the markdown to get that gradient line separator?
kindly note that the method np.arange is "arange" instead of "arrange", there is single 'r' instead
Notably you _can_ multiply arrays of different dimensions so long as the array with more dimensions is made up of arrays of the same shape as the smaller array.
Taught a very complex topic in the easiest way.
Hello, probably the question was already made but in video at did you mean divisible by 2?
When you refer to dot product here, it is effectively a matrix multiplication by looking at its result! :)
Memory footprint and performance: Python vs NumPy
Where you compare performance between Numpy and Python (at ) I need to explicitly add 'dtype=np.intp' to the Numpy array for it to function as it does in your notebook. In fact it wouldn't even get the right value, because the default dtype was too small... Why is this? How do I get my Numpy to pick the right dtype for me like it apparently does for you? XD
. Intro to Pandas: getting, processing and visualizing data
. Intro to Pandas: getting, processing and visualizing data ***
: Intro to Pandas ()
: Intro to Pandas ()Pandas is arguably the most important library for Data Processing in the Python world. Learn how it works and how its main data structure, the Data Frame, compares to other tools like spreadsheets or DFs used for Big Data🔗 Notebooks: https://github.com/ine-rmotr-curriculum/freecodecamp-intro-to-pandas
Intro to Pandas
Pandas data structure: Series
We can change the index of Pandas series and this is fundamentally different from NumPy arrays
The upper limit of slicing in Pandas series is included, whereas, in NumPy, the limit is excluded
Pandas data structure: DataFrames
Most operations in Pandas are immutable
you really left us hanging there at
Reading external data
Link to data used at ?
At , how could you make both the "Timestamp" and "Price'" to be aligned to each other? Thank you!
Pandas plotting
. Data cleaning
. Data cleaning ***
: Data Cleaning ()
: Data Cleaning ()Learn the different types of issues that we'll face with our data: null values, invalid values, statistical outliers, etc, and how to clean them.🔗 Notebooks: https://github.com/ine-rmotr-curriculum/data-cleaning-rmotr-freecodecamp
Data Cleaning
Handling miss data
Cleaning invalidate values
you walking on thin ice there bro
Handling duplicated data
Handling text data
Data visualization
Matplotlib global API
Matplotlib OOP API
. Working with data from(/to) SQL, CSV, txt, API etc.
. Working with data from(/to) SQL, CSV, txt, API etc. ***
: Reading Data from other sources ()
: Reading Data from other sources ()🔗 Notebooks: https://github.com/ine-rmotr-curriculum/RDP-Reading-Data-with-Python-and-Pandas
Reading Data from other sources
Python methods for working with files
Python methods for working with CSV files
Pandas methods for working with CSV files
Python methods for working with SQL
Timestamp for me to continue from:
Pandas methods for working with SQL
Pandas methods for working with HTML
Pandas methods for working with Excel files
. Python recap
. Python recap ***
: Python Recap ()
: Python Recap ()If your Python or coding skills are rusty, check out this section for a quick recap of Python main features and control flow structures.🔗 Notebooks: https://github.com/ine-rmotr-curriculum/ds-content-python-under-10-minutes
Python Recap
Huge thanks for this great video! And NINJA skills at
Anyone know how he cut multiple lines to make his list at ? Must be some sort of keyboard function to cut across multiple lines like that?
