Setting Up Your Python Data Science Environment

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  • Опубликовано: 25 авг 2024

Комментарии • 36

  • @cchileshe
    @cchileshe 3 года назад +7

    How does this wealth of information not have more views. This is fantastic thank you so much for taking the time to spell it out. Do you mentor?

    • @ProjectDataScience
      @ProjectDataScience  3 года назад +1

      Hi Claudia! Thank you so much for the kind words. Mentoring isn't something that I've considered so far (outside of my close contacts), but feel free to reach out on our website if you have something in mind: projectdatascience.com/

  • @okotpascal1239
    @okotpascal1239 6 месяцев назад

    Hey, I thank you so so soooo,... much. I've been looking for this tutorial for months and finally someone who covers it the way you did. THIS IS AMAZING & EDUCATIONAL FOR ALL BEGINNERS WHO DON'T KNOW HOW TO SET UP THEIR ENVIRONMENT.
    GOD Bless You❤

  • @admiralhyperspace0015
    @admiralhyperspace0015 3 года назад +6

    Awesome, this needs way nore views

  • @WoodrowWoods2007
    @WoodrowWoods2007 Год назад +1

    Great video. Just getting started in Data Analytics and this video helped me understand how the Terminal, VSCode, GitHub and Jupyter all work together to manage your projects. Thanks!

  • @camilopinzon5957
    @camilopinzon5957 2 года назад +2

    Great material. Natural talent to teach.

  • @DaxChica
    @DaxChica 3 года назад +2

    Thank you very much for all the info. You just opened my eyes for the Data Analysis structure. It is just what i was looking for.

    • @ProjectDataScience
      @ProjectDataScience  3 года назад +1

      You're very welcome! I think developing the organizational structure (and figuring out which tools to use) can be one of the hardest things.

  • @petersilie9702
    @petersilie9702 3 года назад +1

    I knew most of the things but the folder structure was very interesting. Thank you

  • @YuTv1408
    @YuTv1408 10 месяцев назад

    This video is amazing well organized. Pls keep making them. I'm an engineer trying to learn programming.

  • @BillAugersdca
    @BillAugersdca Год назад +1

    I learned a lot, thank-you!

  • @agnikbanerjee694
    @agnikbanerjee694 4 года назад +2

    Great tutorial. Subscribed.

  • @leonardopetribu7207
    @leonardopetribu7207 3 года назад +1

    Excelent video! Just what I was looking for!! 👏👏👏

  • @paulspray8363
    @paulspray8363 4 месяца назад

    it's Alt-Shift-I in windows, the command palette will show you, to multi-line add cursors
    haven't figured out the multi-select yet

  • @jeremyarancio1683
    @jeremyarancio1683 2 года назад +1

    Great vid!
    I just started my first mission as a Data Scientist in an IT company, and I wish I have seen this video sooner.
    Yet, I still learned some new stuff
    Ty!

  • @BobbySweaters
    @BobbySweaters 3 года назад +1

    Thank you for the tutorial. How to do you get the command text to show up green?

    • @ProjectDataScience
      @ProjectDataScience  3 года назад +1

      Are you talking about in my zsh shell? I have the "oh my zsh" framework installed: ohmyz.sh/

  • @Findingsunshiness
    @Findingsunshiness 2 года назад

    video is great. only cons is fonts are so small. i cannot open notepad beside to view notes because i cant see without an external monitor

  • @KM-hx2pv
    @KM-hx2pv Год назад

    Thanks a lot!

  • @inkoso
    @inkoso Год назад

    so just to be clear, you would essentially always use that specific 'data-science-env' that is in the conda envs folder to work in python etc, but you'd just change your folder location where everythign is saved?

  • @abdullahfaisal4389
    @abdullahfaisal4389 2 года назад

    Thank you!

  • @leythecg
    @leythecg Год назад

    Just fantastic!

  • @lifelonglearning9387
    @lifelonglearning9387 2 года назад +1

    Great video.
    But I still have a question about the installation of mini conda: in which directory did you install it in? in the folder that you create at first or the default folder (home/usr/miniconda) ?

  • @YuTv1408
    @YuTv1408 10 месяцев назад

    Any future comments on how to do these on Windows pls let me know.

  • @muhammedsahalot8683
    @muhammedsahalot8683 Год назад

    How to install multiple packages of python in widows and Linux without using internet in that system

  • @jonathant1797
    @jonathant1797 3 года назад

    can you share your setup for the color in your terminal?

    • @ProjectDataScience
      @ProjectDataScience  3 года назад

      I use Zsh as my shell, and specifically Oh My Zsh with the default setting (Russell is the theme, I believe): ohmyz.sh/. I just use the defaults for the most part, which suits me just fine! Did you get that setup?

    • @jonathant1797
      @jonathant1797 3 года назад

      @@ProjectDataScience I’ve just started using git. Didn’t know such option exists. Thanks for sharing :)

  • @hn13567
    @hn13567 3 года назад +1

    which python shows /usr/local/bin/python3 not

    • @ProjectDataScience
      @ProjectDataScience  3 года назад

      Running "which python" will look slightly different depending on how your system is set up.

  • @tacoblacho
    @tacoblacho 2 года назад

    Great video man, thx a million! I have just one question, when you push your local code to GIthub, does it also install all packages and dependencies in that specific conda environment automatically to Github or do you need to install it separately? I need this please because of deploying my project in Azure Cloud, where it needs some CI/CD pipeline from where to run the code.

  • @omsamadhiya1661
    @omsamadhiya1661 3 года назад

    '&' is not allowed now

    • @ProjectDataScience
      @ProjectDataScience  3 года назад

      Hey Om, I still use it all the time -- are you using it in the terminal? (Make sure you're launching Jupyter notebooks from the bash/zsh terminal, not from within Python!)

  • @mahmoudlotfi514
    @mahmoudlotfi514 3 года назад +1

    PS G:\__Freelancer\code> jupyter notebook &
    At line:1 char:18
    + jupyter notebook &
    + ~
    The ampersand (&) character is not allowed. The & operator is reserved for future use; wrap an
    ampersand in double quotation marks ("&") to pass it as part of a string.
    + CategoryInfo : ParserError: (:) [], ParentContainsErrorRecordException
    + FullyQualifiedErrorId : AmpersandNotAllowed