cheatsheets VS CPython

Compare cheatsheets vs CPython and see what are their differences.

cheatsheets

Official Matplotlib cheat sheets (by matplotlib)

CPython

The Python programming language (by python)
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cheatsheets CPython
126 1302
7,219 59,047
0.9% 1.7%
7.1 10.0
23 days ago 3 days ago
Python Python
BSD 2-clause "Simplified" License GNU General Public License v3.0 or later
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

cheatsheets

Posts with mentions or reviews of cheatsheets. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-25.

CPython

Posts with mentions or reviews of CPython. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-03-15.
  • Open source at Fastly is getting opener
    10 projects | dev.to | 15 Mar 2024
    Through the Fast Forward program, we give free services and support to open source projects and the nonprofits that support them. We support many of the world’s top programming languages (like Python, Rust, Ruby, and the wonderful Scratch), foundational technologies (cURL, the Linux kernel, Kubernetes, OpenStreetMap), and projects that make the internet better and more fun for everyone (Inkscape, Mastodon, Electronic Frontier Foundation, Terms of Service; Didn’t Read).
  • C++ Safety, in Context
    8 projects | news.ycombinator.com | 12 Mar 2024
    In my understanding, no. I believe it was bpo-4489 [1], and I couldn't find a matching advisory from the PSF's database [2] which should contain all historical advisories as well.

    [1] https://github.com/python/cpython/issues/48739

    [2] https://github.com/psf/advisory-database/

  • The GIL can now be disabled in Python's main branch
    8 projects | news.ycombinator.com | 11 Mar 2024
  • Eloquent JavaScript 4th edition (2024)
    10 projects | news.ycombinator.com | 7 Mar 2024
    How do you mean? CPython uses karatsuba's for large numbers which should be asymptotically fast

    https://github.com/python/cpython/blob/d864b0094f9875c5613cb...

  • Top Paying Programming Technologies 2024
    19 projects | dev.to | 6 Mar 2024
    24. Python - $78,331
  • What is really an API? Examples, Code + History
    3 projects | dev.to | 3 Mar 2024
    a. Setting Up: Make sure you have Python and pip (package installer) installed. If you do not have Python, you can install the latest version from the Python ecosystem here
  • How to make a turtle racing game in Python
    2 projects | dev.to | 29 Feb 2024
    First, if you don't have Python installed on your machine, go to python.org to download the latest version of Python and then install it right away.
  • PySimpleGUI 4 will be sunsetted in Q2 2024
    7 projects | news.ycombinator.com | 14 Feb 2024
    You missed that they gave an example that does work—Java Swing is bundled with the JVM, making it more or less part of the standard library. Python itself also has Tkinter, which exists inside the cpython repo and is installed with Python [0].

    C++ may not work, but most other languages (especially VM-based) can and many do.

    [0] https://github.com/python/cpython/blob/3.12/Lib/tkinter/__in...

  • Memray – A Memory Profiler for Python
    10 projects | news.ycombinator.com | 10 Feb 2024
    I collected a list of profilers (also memory profilers, also specifically for Python) here: https://github.com/albertz/wiki/blob/master/profiling.md

    Currently I actually need a Python memory profiler, because I want to figure out whether there is some memory leak in my application (PyTorch based training script), and where exactly (in this case, it's not a problem of GPU memory, but CPU memory).

    I tried Scalene (https://github.com/plasma-umass/scalene), which seems to be powerful, but somehow the output it gives me is not useful at all? It doesn't really give me a flamegraph, or a list of the top lines with memory allocations, but instead it gives me a listing of all source code lines, and prints some (very sparse) information on each line. So I need to search through that listing now by hand to find the spots? Maybe I just don't know how to use it properly.

    I tried Memray, but first ran into an issue (https://github.com/bloomberg/memray/issues/212), but after using some workaround, it worked now. I get a flamegraph out, but it doesn't really seem accurate? After a while, there don't seem to be any new memory allocations at all anymore, and I don't quite trust that this is correct.

    There is also Austin (https://github.com/P403n1x87/austin), which I also wanted to try (have not yet).

    Somehow this experience so far was very disappointing.

    (Side node, I debugged some very strange memory allocation behavior of Python before, where all local variables were kept around after an exception, even though I made sure there is no reference anymore to the exception object, to the traceback, etc, and I even called frame.clear() for all frames to really clear it. It turns out, frame.f_locals will create another copy of all the local variables, and the exception object and all the locals in the other frame still stay alive until you access frame.f_locals again. At that point, it will sync the f_locals again with the real (fast) locals, and then it can finally free everything. It was quite annoying to find the source of this problem and to find workarounds for it. https://github.com/python/cpython/issues/113939)

  • Setting Up the Environment
    2 projects | dev.to | 15 Jan 2024
    Python, a versatile and powerful programming language, can be easily installed from its official website: https://www.python.org/. This section will guide you through the installation process on various operating systems, including Windows, macOS, and Linux.

What are some alternatives?

When comparing cheatsheets and CPython you can also consider the following projects:

RustPython - A Python Interpreter written in Rust

finplot - Performant and effortless finance plotting for Python

ipython - Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.

Vulpix - Fast, unopinionated, minimalist web framework for .NET core inspired by express.js

manim - A community-maintained Python framework for creating mathematical animations.

Visual Studio Code - Visual Studio Code

Fast-F1 - FastF1 is a python package for accessing and analyzing Formula 1 results, schedules, timing data and telemetry

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Pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

Camunda BPM - Flexible framework for workflow and decision automation with BPMN and DMN. Integration with Quarkus, Spring, Spring Boot, CDI.

Django - The Web framework for perfectionists with deadlines.

go - The Go programming language