Python Pandas Tutorial (Part 1): Getting Started with Data Analysis – Installation and Loading Data


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In this video, we shall be studying learn how to get began with Pandas utilizing Python.

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In this Python Programming video, we shall be studying learn how to get began with Pandas. Pandas is a Data Analysis Library that permits us to simply learn, analyze, and modify knowledge. Pandas is a elementary instrument to study within the rising area of Data Science. So we’ll begin by studying learn how to set up Pandas, learn how to load knowledge right into a Jupyter Notebook, and learn how to see fundamental details about the information we have loaded in. Let’s get began…

The code for this video will be discovered at:
http://bit.ly/Pandas-01

Virtual Environment Tutorial – https://youtu.be/Kg1Yvry_Ydk
Jupyter Tutorial – https://youtu.be/HW29067qVWk
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Comment List

  • Corey Schafer
    November 10, 2020

    Hey everyone! Thanks for being so patient while I finished this course! I am still finishing the last few videos of the course and have many more to record, but I am hoping to release Part 2 tomorrow. The next video will cover DataFrame and Series datatypes. These datatypes are the backbone of Pandas and learning what they are and how to use them is essential, so be sure to check that out.

    I'd like to thank Brilliant for sponsoring this series. If you'd like to check them out then you can sign up with this link and get 20% off your premium subscription:
    https://brilliant.org/cms

  • Corey Schafer
    November 10, 2020

    Good Stuff man. Thanks for your efforts.

  • Corey Schafer
    November 10, 2020

    Help each other to alive..watch till end.Human or Animal.
    https://youtu.be/YGBbTFYLla0

  • Corey Schafer
    November 10, 2020

    Will you be creating a playlist for Numpy too?

  • Corey Schafer
    November 10, 2020

    thank you

  • Corey Schafer
    November 10, 2020

    Thanks Corey! I have just discovered this channel, and it is definitely one of the best on pandas. Great learning resource!

  • Corey Schafer
    November 10, 2020

    I need some help guys,
    When I tried to create new notebook on browser, my only option is python 2 to open with. How can I change it to Python 3?

  • Corey Schafer
    November 10, 2020

    Hi Corey…Please share the data source so we can follow along with the video. Thank you!!

  • Corey Schafer
    November 10, 2020

    Amazing video! thanks!

  • Corey Schafer
    November 10, 2020

    Hay corey, should i pip install jupyter every time i create a venv?

  • Corey Schafer
    November 10, 2020

    why pd.set_option('display.max_rows',85) not displaying 85 rows of df? It's only showing 85 rows of schema_df

  • Corey Schafer
    November 10, 2020

    So much Respect. Couldnt thank enough.

  • Corey Schafer
    November 10, 2020

    hi,
    I installed jupyter notebook through pip.
    $ pip install jupyterlab
    $ jupyter notebook
    [C 14:25:06.690 NotebookApp] No such file or directory: /Users/apple/notebook
    /// when i set the path variable to the jupyter-notebook exec , the below command runs
    $jupyter-notebook
    /// it starts the server but displays the following error ,
    /bin/sh: osascript: command not found

    Please help ! i've been stuck with this for a few hours.
    Thank you.

  • Corey Schafer
    November 10, 2020

    hi ,
    Do we need anaconda on our machine to run jupyter notebook?

  • Corey Schafer
    November 10, 2020

    pd.set_option line of code affects code that comes before it?

  • Corey Schafer
    November 10, 2020

    Hi Corey, you're definitely the best teach, thank you from Brazil

  • Corey Schafer
    November 10, 2020

    Great and on the point, as always. Thank you Corey!

  • Corey Schafer
    November 10, 2020

    If we have 4 columns like [week, fruits, vegetables, flowers], how to create a dataframe like df['fruits'] where week==36

  • Corey Schafer
    November 10, 2020

    Can y plz add tutorials on numpy and stats related videos, its would be off great help

  • Corey Schafer
    November 10, 2020

    Had few doubts, please help
    1>How do we store filtered dataframe, for example the below code

    df[df['Gender'] == "Male"]

    2> how do I use value_count() on question 1

    3> when i run the code 'nba.dropna(axis= 1).head()'

    I am getting output with only index but not the column values

    0

    1

    2

    3

    4

    Note : nba is my dataframe name

    4> When I run the below code

    pokemon.get(key=['Pikachu','Nonsense'],default='This is not a Pokemon')

    my output is

    Pokemon
    Pikachu Electric
    Nonsense NaN
    Name: Type, dtype: object Instead of 'This is not a Pokemon'

  • Corey Schafer
    November 10, 2020

    Hello, what does the r before C: ?

    df = pd.csv_read(r 'C:datasetsexample.csv')

    With some letters of the lowercase alphabet from error if there is not.

    thx

    ric

  • Corey Schafer
    November 10, 2020

    I'm really excited for this great video on pandas. Thank you Corey for the great tutorial.

  • Corey Schafer
    November 10, 2020

    I have one doubt, after we set "pd.set_option('display.max_row',85) " and run the df again, we didnt see the first 85 rows in df. Can anyone clear my doubt

  • Corey Schafer
    November 10, 2020

    Thanks knows no bound, Corey.

  • Corey Schafer
    November 10, 2020

    Amazing videos, much better explained than my graduate school professor. But where could we get the links to those csv files?
    Thank you for all the time and effort you have put into this!

  • Corey Schafer
    November 10, 2020

    I'm a Windows user. I wish there was some way we could put Jupyter's terminal in the taskbar icons section or something. It kind of irritates me *just a little bit* to see the terminal as a big taskbar item

  • Corey Schafer
    November 10, 2020

    Bravo!

  • Corey Schafer
    November 10, 2020

    This video is exactly what I was looking for

  • Corey Schafer
    November 10, 2020

    Excellent video. Just a small nitpick, when you said "concatenate", you meant truncate.

  • Corey Schafer
    November 10, 2020

    You are fantastic corey

  • Corey Schafer
    November 10, 2020

    thank you for your tutorials. I hope there are biopython's tutorial

  • Corey Schafer
    November 10, 2020

    WHY DID NOT YOU INCREASE THE FONT SIZE WHILE DEMONSTRATING ???YOU SHOULD HAVE TAKEN ALSO THOSE PEOPLE INTO ACCOUNT WHO DONT HAVE GREAT VISIBILITY WHILE WATCHING VIDEO…!!!!

  • Corey Schafer
    November 10, 2020

    what if we want to see 10 columns from middle of the data sheet

  • Corey Schafer
    November 10, 2020

    Dude you're literally a legend. Watched ur django series, gonna watch this, then the Flask series

  • Corey Schafer
    November 10, 2020

    Thanks for the effort. You are a wonderful teacher.

  • Corey Schafer
    November 10, 2020

    Your videos build interest in python .

  • Corey Schafer
    November 10, 2020

    Thanks a lot for this great tutorial !!

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