Rezultati pretraživanja
  1. 2. stu 2017.

    Rarely used feature, if you have docrepr installed (pip install docrepr), you can get docstrings to render on the fly in the pager.

  2. 25. lip 2019.

    Here's a v. short tutorial on converting DataFrames to Images for nice displays in PDF documents. 1. Install imgkit 2. Define a _repr_png_ method on your DF 3. Use the css in the image below

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  3. still have plenty of potential features. Even in CLI. Next in line support for mimetypes handlers. That is to say for example, display inline image (if terminal support it) or math, or call an external file viewer.

  4. IPython 7.4.0 is out on PyPI. Please checkout for ways you can contribute to finish the remaining tasks for the release. Thanks for you guidance :)

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  5. 25. lis 2015.
  6. 6. ruj 2019.

    I've been working on exposing the web canvas API to (yeah I know I was bored😄). You can draw anything you want in a Jupyter Notebook with it! Whether you want to make a PacMan game or yet another Python plotting library ;) Check it out:

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  7. v.2.4.0 is out! This release adds Python3 support, TLS (including 1.3), HTTP/2, Krack AP module, better windows support .... Vamossssssssssssssssssssss !!!

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  8. 8. pro 2019.
    Odgovor korisnicima

    5. AsyncIO is great. It's been a joy to hook into 's async event loop so that I can send/receive messages to the robot, capture sensor data into a growing DataFrame, and run motion control programs in the background while having a free prompt for live analysis.

  9. I wrote a thing, while travelling over the weekend:

  10. 8. srp 2016.

    5.0 has been released! This will be the last version that supports 2.

  11. 20. tra 2017.

    6.0 has been released with some great new features. Also, no 2 support for IPython 6+.

  12. And just after releases notebook 5.1, I just release 5.5 and 6.2 ! !

  13. 27. lip 2018.

    Pro tip: always bribe your dream employer with cake 👍 Specifically homemade vegan chocolate brownie cake with a dash of iPython

  14. 17. tra 2018.

    “Different languages really do have different strengths, and they should be able to used together; the core of makes this possible” shows off Polyglot Data Science by passing in-memory objects between Python → Julia → Fortran → R → Python

  15. 60% of the time, it works every time... / notebooks changed, like, every aspect of my work.

  16. 18. tra 2018.

    %xmode verbose magic shows context and also values of the variables that are used in evaluation of an exceptionous expression

  17. 5.0.0b4 out, with prompt_toolkit 1.0.2. $ pip install --upgrade ipython prompt_toolkit --pre

  18. Has anyone used the desktop app? Thoughts? Looks like a cool project. how different is it from browser based notebook usage or command line ?

  19. 8. srp 2016.

    just increased its already insanely high levels of awesome:

  20. 6. svi 2017.

    Fastest lightning talk. 2 slides.

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