- Python Pandas Tutorial (Part 5): Updating Rows and Columns - Modifying Data Within DataFrames

Python Pandas Tutorial (Part 5): Updating Rows and Columns - Modifying Data Within DataFrames

In this video, we will be learning how to update the values in our rows and columns.

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In this Python Prog...
In this video, we will be learning how to update the values in our rows and columns.

This video is sponsored by Brilliant. Go to https://brilliant.org/cms to sign up for free. Be one of the first 200 people to sign up with this link and get 20% off your premium subscription.

In this Python Programming video, we will be learning how to modify the data within our DataFrames. We will use some of the filtering techniques we learned in the last video to update values conditionally, and we will also be learning how to use the apply, map, and applymap method. Let's get started...

The code for this video can be found at:
http://bit.ly/Pandas-05

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Intro: - Python Pandas Tutorial (Part 5): Updating Rows and Columns - Modifying Data Within DataFrames

Intro:

Python Pandas Tutorial (Part 5): Updating Rows and Columns - Modifying Data Within DataFrames
2020年01月25日 
00:00:00 - 00:00:39
Recap: - Python Pandas Tutorial (Part 5): Updating Rows and Columns - Modifying Data Within DataFrames

Recap:

Python Pandas Tutorial (Part 5): Updating Rows and Columns - Modifying Data Within DataFrames
2020年01月25日 
00:00:39 - 00:01:31
Change All Column Indices ("Headers") (`df.columns = df.columns.str.lower() / .replace(' ', '_')`): - Python Pandas Tutorial (Part 5): Updating Rows and Columns - Modifying Data Within DataFrames

Change All Column Indices ("Headers") (`df.columns = df.columns.str.lower() / .replace(' ', '_')`):

Python Pandas Tutorial (Part 5): Updating Rows and Columns - Modifying Data Within DataFrames
2020年01月25日 
00:01:31 - 00:04:44
updating column names - Python Pandas Tutorial (Part 5): Updating Rows and Columns - Modifying Data Within DataFrames

updating column names

Python Pandas Tutorial (Part 5): Updating Rows and Columns - Modifying Data Within DataFrames
2020年01月25日 
00:01:50 - 00:06:20
I have a question. At  why could not we have used list comprehension for str.replace() as you did with .upper()? Why .upper() has to be list comprehension and str.replace has to be called directly? - Python Pandas Tutorial (Part 5): Updating Rows and Columns - Modifying Data Within DataFrames

I have a question. At why could not we have used list comprehension for str.replace() as you did with .upper()? Why .upper() has to be list comprehension and str.replace has to be called directly?

Python Pandas Tutorial (Part 5): Updating Rows and Columns - Modifying Data Within DataFrames
2020年01月25日 
00:04:30 - 00:40:03
Change Only Some Column Indices ("Headers") (`df.rename({"col_old": "col_new", ...}, inplace=True)`): - Python Pandas Tutorial (Part 5): Updating Rows and Columns - Modifying Data Within DataFrames

Change Only Some Column Indices ("Headers") (`df.rename({"col_old": "col_new", ...}, inplace=True)`):

Python Pandas Tutorial (Part 5): Updating Rows and Columns - Modifying Data Within DataFrames
2020年01月25日 
00:04:44 - 00:06:08
🤣🤣 , inplace equals True will make that change go through! - Python Pandas Tutorial (Part 5): Updating Rows and Columns - Modifying Data Within DataFrames

🤣🤣 , inplace equals True will make that change go through!

Python Pandas Tutorial (Part 5): Updating Rows and Columns - Modifying Data Within DataFrames
2020年01月25日 
00:06:00 - 00:40:03
Change Row Values (`df.loc[] = 'value'`): - Python Pandas Tutorial (Part 5): Updating Rows and Columns - Modifying Data Within DataFrames

Change Row Values (`df.loc[] = 'value'`):

Python Pandas Tutorial (Part 5): Updating Rows and Columns - Modifying Data Within DataFrames
2020年01月25日 
00:06:08 - 00:09:25
updating data in row - Python Pandas Tutorial (Part 5): Updating Rows and Columns - Modifying Data Within DataFrames

updating data in row

Python Pandas Tutorial (Part 5): Updating Rows and Columns - Modifying Data Within DataFrames
2020年01月25日 
00:06:20 - 00:15:40
Change a Single Value (`df.iat[], df.at[] = 'value'`): - Python Pandas Tutorial (Part 5): Updating Rows and Columns - Modifying Data Within DataFrames

Change a Single Value (`df.iat[], df.at[] = 'value'`):

Python Pandas Tutorial (Part 5): Updating Rows and Columns - Modifying Data Within DataFrames
2020年01月25日 
00:09:25 - 00:11:25
you were right, theres a reasonable difference in speed https://stackoverflow.com/questions/37216485/pandas-at-versus-loc - Python Pandas Tutorial (Part 5): Updating Rows and Columns - Modifying Data Within DataFrames

you were right, theres a reasonable difference in speed https://stackoverflow.com/questions/37216485/pandas-at-versus-loc

Python Pandas Tutorial (Part 5): Updating Rows and Columns - Modifying Data Within DataFrames
2020年01月25日 
00:11:00 - 00:40:03
Common User Error - Changing Values without `.loc` (`df[filt]['last'] = 'value'`; `SettingWithCopyWarning`):Update Multiple Rows of Data: - Python Pandas Tutorial (Part 5): Updating Rows and Columns - Modifying Data Within DataFrames

Common User Error - Changing Values without `.loc` (`df[filt]['last'] = 'value'`; `SettingWithCopyWarning`):Update Multiple Rows of Data:

Python Pandas Tutorial (Part 5): Updating Rows and Columns - Modifying Data Within DataFrames
2020年01月25日 
00:11:25 - 00:32:13
since there is two 'JohnDoe@email.com', when he filted these why he did not receive Jane and Jonh rows as a filted dataframe ?? - Python Pandas Tutorial (Part 5): Updating Rows and Columns - Modifying Data Within DataFrames

since there is two '[email protected]', when he filted these why he did not receive Jane and Jonh rows as a filted dataframe ??

Python Pandas Tutorial (Part 5): Updating Rows and Columns - Modifying Data Within DataFrames
2020年01月25日 
00:12:34 - 00:40:03
@ for updating 1 row after first matching value - Python Pandas Tutorial (Part 5): Updating Rows and Columns - Modifying Data Within DataFrames

@ for updating 1 row after first matching value

Python Pandas Tutorial (Part 5): Updating Rows and Columns - Modifying Data Within DataFrames
2020年01月25日 
00:14:47 - 00:40:03
updating data in multiple rows - Python Pandas Tutorial (Part 5): Updating Rows and Columns - Modifying Data Within DataFrames

updating data in multiple rows

Python Pandas Tutorial (Part 5): Updating Rows and Columns - Modifying Data Within DataFrames
2020年01月25日 
00:15:40 - 00:17:51
Me at"Just use MD and make them part of the code. " - Python Pandas Tutorial (Part 5): Updating Rows and Columns - Modifying Data Within DataFrames

Me at"Just use MD and make them part of the code. "

Python Pandas Tutorial (Part 5): Updating Rows and Columns - Modifying Data Within DataFrames
2020年01月25日 
00:17:47 - 00:40:03
apply() with series - Python Pandas Tutorial (Part 5): Updating Rows and Columns - Modifying Data Within DataFrames

apply() with series

Python Pandas Tutorial (Part 5): Updating Rows and Columns - Modifying Data Within DataFrames
2020年01月25日 
00:17:51 - 00:22:33
I have one question, @ while creating update_email method you used "return email.lower()" function without str. prefix and it went through while other places example @29:48 while doing applymap it was "df.applymap(str.lower)"So, my question is when does str. prefix becomes mandatory when using lower() function? - Python Pandas Tutorial (Part 5): Updating Rows and Columns - Modifying Data Within DataFrames

I have one question, @ while creating update_email method you used "return email.lower()" function without str. prefix and it went through while other places example @29:48 while doing applymap it was "df.applymap(str.lower)"So, my question is when does str. prefix becomes mandatory when using lower() function?

Python Pandas Tutorial (Part 5): Updating Rows and Columns - Modifying Data Within DataFrames
2020年01月25日 
00:20:14 - 00:40:03
I did not understand why, at  , df['email].apply(update_email)  why its not df['email].apply(update_email())??? someone please explain - Python Pandas Tutorial (Part 5): Updating Rows and Columns - Modifying Data Within DataFrames

I did not understand why, at , df['email].apply(update_email) why its not df['email].apply(update_email())??? someone please explain

Python Pandas Tutorial (Part 5): Updating Rows and Columns - Modifying Data Within DataFrames
2020年01月25日 
00:20:25 - 00:40:03
, you could pass str.upper as function instead of creating a new one, fyi - Python Pandas Tutorial (Part 5): Updating Rows and Columns - Modifying Data Within DataFrames

, you could pass str.upper as function instead of creating a new one, fyi

Python Pandas Tutorial (Part 5): Updating Rows and Columns - Modifying Data Within DataFrames
2020年01月25日 
00:20:26 - 00:40:03
I didnt understand why we didnt put function parenthesis in apply() @ . - Python Pandas Tutorial (Part 5): Updating Rows and Columns - Modifying Data Within DataFrames

I didnt understand why we didnt put function parenthesis in apply() @ .

Python Pandas Tutorial (Part 5): Updating Rows and Columns - Modifying Data Within DataFrames
2020年01月25日 
00:20:50 - 00:40:03
apply() with data frames - Python Pandas Tutorial (Part 5): Updating Rows and Columns - Modifying Data Within DataFrames

apply() with data frames

Python Pandas Tutorial (Part 5): Updating Rows and Columns - Modifying Data Within DataFrames
2020年01月25日 
00:22:33 - 00:28:11
rows and columns are same 3X3. I tired same. but for df.apply(len, axis = 'rows') the columns are getting calculated. Am i missing something here? - Python Pandas Tutorial (Part 5): Updating Rows and Columns - Modifying Data Within DataFrames

rows and columns are same 3X3. I tired same. but for df.apply(len, axis = 'rows') the columns are getting calculated. Am i missing something here?

Python Pandas Tutorial (Part 5): Updating Rows and Columns - Modifying Data Within DataFrames
2020年01月25日 
00:25:00 - 00:40:03
applymap() (used only with df) - Python Pandas Tutorial (Part 5): Updating Rows and Columns - Modifying Data Within DataFrames

applymap() (used only with df)

Python Pandas Tutorial (Part 5): Updating Rows and Columns - Modifying Data Within DataFrames
2020年01月25日 
00:28:11 - 00:30:00
you can also just construct the data frame by using double brackets and a list of the columns you do want so - df.[['first','last']] but there may be a better approach. - Python Pandas Tutorial (Part 5): Updating Rows and Columns - Modifying Data Within DataFrames

you can also just construct the data frame by using double brackets and a list of the columns you do want so - df.[['first','last']] but there may be a better approach.

Python Pandas Tutorial (Part 5): Updating Rows and Columns - Modifying Data Within DataFrames
2020年01月25日 
00:29:42 - 00:37:18
Oh, you are mentioning it at  actually - Python Pandas Tutorial (Part 5): Updating Rows and Columns - Modifying Data Within DataFrames

Oh, you are mentioning it at actually

Python Pandas Tutorial (Part 5): Updating Rows and Columns - Modifying Data Within DataFrames
2020年01月25日 
00:29:43 - 00:40:03
map() (used only with series) - Python Pandas Tutorial (Part 5): Updating Rows and Columns - Modifying Data Within DataFrames

map() (used only with series)

Python Pandas Tutorial (Part 5): Updating Rows and Columns - Modifying Data Within DataFrames
2020年01月25日 
00:30:00 - 00:31:32
replace() - Python Pandas Tutorial (Part 5): Updating Rows and Columns - Modifying Data Within DataFrames

replace()

Python Pandas Tutorial (Part 5): Updating Rows and Columns - Modifying Data Within DataFrames
2020年01月25日 
00:31:32 - 00:40:03
Real-World Data Practice: - Python Pandas Tutorial (Part 5): Updating Rows and Columns - Modifying Data Within DataFrames

Real-World Data Practice:

Python Pandas Tutorial (Part 5): Updating Rows and Columns - Modifying Data Within DataFrames
2020年01月25日 
00:32:13 - 00:37:19
Around the  mark, you map the 'Hobbyist' column like so: {'Yes': True,  'No': False}. I followed along and updated the 'Hobbyist' column TWICE by mistake, so now the entire 'Hobbyist' column is filled with NaN, NaN, NaN, etc... for every single respondent answer. - Python Pandas Tutorial (Part 5): Updating Rows and Columns - Modifying Data Within DataFrames

Around the mark, you map the 'Hobbyist' column like so: {'Yes': True, 'No': False}. I followed along and updated the 'Hobbyist' column TWICE by mistake, so now the entire 'Hobbyist' column is filled with NaN, NaN, NaN, etc... for every single respondent answer.

Python Pandas Tutorial (Part 5): Updating Rows and Columns - Modifying Data Within DataFrames
2020年01月25日 
00:36:51 - 00:40:03
also another good way other than .value_counts() to get a unique list is tuck your series into the set() function. - Python Pandas Tutorial (Part 5): Updating Rows and Columns - Modifying Data Within DataFrames

also another good way other than .value_counts() to get a unique list is tuck your series into the set() function.

Python Pandas Tutorial (Part 5): Updating Rows and Columns - Modifying Data Within DataFrames
2020年01月25日 
00:37:18 - 00:40:03
Outro: - Python Pandas Tutorial (Part 5): Updating Rows and Columns - Modifying Data Within DataFrames

Outro:

Python Pandas Tutorial (Part 5): Updating Rows and Columns - Modifying Data Within DataFrames
2020年01月25日 
00:37:19 - 00:40:03

Corey Schafer

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the future spoken is my current present. Unless I'm completely desperate, I'm not hitting reddit or google/stack overflow for most roadblocks. - How to Use ChatGPT as a Powerful Tool for Programming

the future spoken is my current present. Unless I'm completely desperate, I'm not hitting reddit or google/stack overflow for most roadblocks.

How to Use ChatGPT as a Powerful Tool for Programming
2023年05月22日  o k t o b e r 様 
00:12:22 - 00:31:08
Good video as always😉  I remember asking that too lol - How to Use ChatGPT as a Powerful Tool for Programming

Good video as always😉 I remember asking that too lol

How to Use ChatGPT as a Powerful Tool for Programming
2023年05月22日  kami 様 
00:28:19 - 00:31:08
@ - pure gold, pure gold! <3 - How to Use ChatGPT as a Powerful Tool for Programming

@ - pure gold, pure gold! <3

How to Use ChatGPT as a Powerful Tool for Programming
2023年05月22日  ulf gjerdingen 様 
00:28:26 - 00:31:08
You almost had me there haha! ChatGPT can be wrong but it certainly wasn't wrong about those top notch resources! I massively appreciate all the uploads and I hope they keep coming supercharged with Chat GPT. Thanks to you, sentdex, techwithtim and Dennis Ivy I now know how to properly code on python, use git for version control and build a functional website. - How to Use ChatGPT as a Powerful Tool for Programming

You almost had me there haha! ChatGPT can be wrong but it certainly wasn't wrong about those top notch resources! I massively appreciate all the uploads and I hope they keep coming supercharged with Chat GPT. Thanks to you, sentdex, techwithtim and Dennis Ivy I now know how to properly code on python, use git for version control and build a functional website.

How to Use ChatGPT as a Powerful Tool for Programming
2023年05月22日  Uj Vag 様 
00:28:42 - 00:31:08
and it's  am here (south east asia), and idk why I'm watching a python tutorial rather than sleeping 😂 - Python Tutorial: Simulate the Powerball Lottery Using Python

and it's am here (south east asia), and idk why I'm watching a python tutorial rather than sleeping 😂

Python Tutorial: Simulate the Powerball Lottery Using Python
2023年01月10日  X 様 
00:02:49 - 00:38:56
… nice… 😂 - Python Tutorial: Simulate the Powerball Lottery Using Python

… nice… 😂

Python Tutorial: Simulate the Powerball Lottery Using Python
2023年01月10日  Bartosz Turkowyd 様 
00:04:50 - 00:38:56
I've seen every Python video you've made....   first innuendo. 😜 - Python Tutorial: Simulate the Powerball Lottery Using Python

I've seen every Python video you've made.... first innuendo. 😜

Python Tutorial: Simulate the Powerball Lottery Using Python
2023年01月10日  Martin Beaudry 様 
00:04:52 - 00:38:56
Man it's  am in India I am lucky to be the first one to hear your voice god bless you brother and an awesome teacher. - Python Tutorial: Simulate the Powerball Lottery Using Python

Man it's am in India I am lucky to be the first one to hear your voice god bless you brother and an awesome teacher.

Python Tutorial: Simulate the Powerball Lottery Using Python
2023年01月10日  Big Samosa 様 
00:12:15 - 00:38:56
# you can also use the built-in pprint module for pretty printing dictionaries ;) - Python Tutorial: Simulate the Powerball Lottery Using Python

# you can also use the built-in pprint module for pretty printing dictionaries ;)

Python Tutorial: Simulate the Powerball Lottery Using Python
2023年01月10日  Schoenling Wunderbar 様 
00:25:00 - 00:38:56
it would be very interesting to see if there could be a step function where this algorithm can simulate the increases in jackpot winnings. It’s going to be one in 292+ million of a chance that you hit it at all much less multiple times, but the code should be interesting to see. - Python Tutorial: Simulate the Powerball Lottery Using Python

it would be very interesting to see if there could be a step function where this algorithm can simulate the increases in jackpot winnings. It’s going to be one in 292+ million of a chance that you hit it at all much less multiple times, but the code should be interesting to see.

Python Tutorial: Simulate the Powerball Lottery Using Python
2023年01月10日  20 80 様 
00:27:43 - 00:38:56
A OAuth Django video would be awesome!(Applicable to all sorts of OAuth situations, not just the YouTube API.) - Python YouTube API Tutorial: Using OAuth to Access User Accounts

A OAuth Django video would be awesome!(Applicable to all sorts of OAuth situations, not just the YouTube API.)

Python YouTube API Tutorial: Using OAuth to Access User Accounts
2020年09月10日 
00:07:58 - 00:43:21
At  you move the file and see some blurred miniature version of your open folders in the dock. How did you enable that? - Python YouTube API Tutorial: Using OAuth to Access User Accounts

At you move the file and see some blurred miniature version of your open folders in the dock. How did you enable that?

Python YouTube API Tutorial: Using OAuth to Access User Accounts
2020年09月10日 
00:09:58 - 00:43:21
In case you are getting Error 403 ("access_denied The developer hasn’t given you access to this app") go to the OAuth consent screen and under Test Users add your email by clicking on Add Users.  You should be able to grant access after you've added User. - Python YouTube API Tutorial: Using OAuth to Access User Accounts

In case you are getting Error 403 ("access_denied The developer hasn’t given you access to this app") go to the OAuth consent screen and under Test Users add your email by clicking on Add Users. You should be able to grant access after you've added User.

Python YouTube API Tutorial: Using OAuth to Access User Accounts
2020年09月10日 
00:19:36 - 00:43:21
@corey  So why did you add the join function here, when appending the video id to the list its already a list and its working for me when I pass the vid_ids directly - Python YouTube API Tutorial: Calculating the Duration of a Playlist

@corey So why did you add the join function here, when appending the video id to the list its already a list and its working for me when I pass the vid_ids directly

Python YouTube API Tutorial: Calculating the Duration of a Playlist
2020年06月11日 
00:11:24 - 00:37:38
TypeError: expected string or bytes-like object, I am taking this error in , any idea? - Python YouTube API Tutorial: Calculating the Duration of a Playlist

TypeError: expected string or bytes-like object, I am taking this error in , any idea?

Python YouTube API Tutorial: Calculating the Duration of a Playlist
2020年06月11日 
00:18:50 - 00:37:38
(I love that "Whoops that went too well"-moment at  :D) - Python Tutorial: Real World Example - Using Patreon API and Pillow to Automate Image Creation

(I love that "Whoops that went too well"-moment at :D)

Python Tutorial: Real World Example - Using Patreon API and Pillow to Automate Image Creation
2020年05月11日 
00:35:19 - 00:52:33
Read CSV - - Python Pandas Tutorial (Part 11): Reading/Writing Data to Different Sources - Excel, JSON, SQL, Etc

Read CSV -

Python Pandas Tutorial (Part 11): Reading/Writing Data to Different Sources - Excel, JSON, SQL, Etc
2020年04月02日 
00:00:56 - 00:03:20
Write CSV - - Python Pandas Tutorial (Part 11): Reading/Writing Data to Different Sources - Excel, JSON, SQL, Etc

Write CSV -

Python Pandas Tutorial (Part 11): Reading/Writing Data to Different Sources - Excel, JSON, SQL, Etc
2020年04月02日 
00:03:20 - 00:04:40
Write TSV - - Python Pandas Tutorial (Part 11): Reading/Writing Data to Different Sources - Excel, JSON, SQL, Etc

Write TSV -

Python Pandas Tutorial (Part 11): Reading/Writing Data to Different Sources - Excel, JSON, SQL, Etc
2020年04月02日 
00:04:40 - 00:06:00
Read TSV - - Python Pandas Tutorial (Part 11): Reading/Writing Data to Different Sources - Excel, JSON, SQL, Etc

Read TSV -

Python Pandas Tutorial (Part 11): Reading/Writing Data to Different Sources - Excel, JSON, SQL, Etc
2020年04月02日 
00:06:00 - 00:06:15
Write Excel - - Python Pandas Tutorial (Part 11): Reading/Writing Data to Different Sources - Excel, JSON, SQL, Etc

Write Excel -

Python Pandas Tutorial (Part 11): Reading/Writing Data to Different Sources - Excel, JSON, SQL, Etc
2020年04月02日 
00:06:15 - 00:10:42
Read Excel -  (Start at 6:15 to see installed packages) - Python Pandas Tutorial (Part 11): Reading/Writing Data to Different Sources - Excel, JSON, SQL, Etc

Read Excel - (Start at 6:15 to see installed packages)

Python Pandas Tutorial (Part 11): Reading/Writing Data to Different Sources - Excel, JSON, SQL, Etc
2020年04月02日 
00:10:42 - 00:12:18
Write JSON - - Python Pandas Tutorial (Part 11): Reading/Writing Data to Different Sources - Excel, JSON, SQL, Etc

Write JSON -

Python Pandas Tutorial (Part 11): Reading/Writing Data to Different Sources - Excel, JSON, SQL, Etc
2020年04月02日 
00:12:18 - 00:15:41
Read JSON - - Python Pandas Tutorial (Part 11): Reading/Writing Data to Different Sources - Excel, JSON, SQL, Etc

Read JSON -

Python Pandas Tutorial (Part 11): Reading/Writing Data to Different Sources - Excel, JSON, SQL, Etc
2020年04月02日 
00:15:41 - 00:16:59
Write SQL - - Python Pandas Tutorial (Part 11): Reading/Writing Data to Different Sources - Excel, JSON, SQL, Etc

Write SQL -

Python Pandas Tutorial (Part 11): Reading/Writing Data to Different Sources - Excel, JSON, SQL, Etc
2020年04月02日 
00:16:59 - 00:24:57
# Just in case:If you are using sqlite3 instead of sqlalchemy, you have to use SQL string not the table name: - Python Pandas Tutorial (Part 11): Reading/Writing Data to Different Sources - Excel, JSON, SQL, Etc

# Just in case:If you are using sqlite3 instead of sqlalchemy, you have to use SQL string not the table name:

Python Pandas Tutorial (Part 11): Reading/Writing Data to Different Sources - Excel, JSON, SQL, Etc
2020年04月02日 
00:24:57 - 00:32:45
Read SQL -  (Start at 16:59 to see installed packages) - Python Pandas Tutorial (Part 11): Reading/Writing Data to Different Sources - Excel, JSON, SQL, Etc

Read SQL - (Start at 16:59 to see installed packages)

Python Pandas Tutorial (Part 11): Reading/Writing Data to Different Sources - Excel, JSON, SQL, Etc
2020年04月02日 
00:24:57 - 00:32:45
Corey Ception - Live Stream - Chat, Q&A, Brews, and Coding

Corey Ception

Live Stream - Chat, Q&A, Brews, and Coding
2020年03月24日  MLittle Programming 様 
00:00:03 - 01:01:21
Ah, I missed the stream :(..  VIM! haha but seriously, I'm a recent convert to vim. It's powerful and efficient. - Live Stream - Chat, Q&A, Brews, and Coding

Ah, I missed the stream :(.. VIM! haha but seriously, I'm a recent convert to vim. It's powerful and efficient.

Live Stream - Chat, Q&A, Brews, and Coding
2020年03月24日  stuart 様 
00:02:35 - 01:01:21
Youtube premium is ad-free. - Live Stream - Chat, Q&A, Brews, and Coding

Youtube premium is ad-free.

Live Stream - Chat, Q&A, Brews, and Coding
2020年03月24日  stuart 様 
00:21:00 - 01:01:21
I knew that, but...😆 - Live Stream - Chat, Q&A, Brews, and Coding

I knew that, but...😆

Live Stream - Chat, Q&A, Brews, and Coding
2020年03月24日  Deepam Gupta 様 
00:41:25 - 01:01:21