WinPython is a free open-source portable distribution of the Python programming language for Windows 8/10 and scientific and educational usage.

It is a full-featured Python-based scientific environment:

    - Designed for scientists, data-scientists, and education (thanks to NumPy, SciPy, Sympy, Matplotlib, Pandas, pyqtgraph, etc.):
        - interactive data processing and visualization using Python with Spyder and Jupyter/IPython, Pyzo, IDLEX or IDLE
        - fully integrated Cython and Numba! See included example
        - connectors (cffi, odbc, rpy2, scilab2py, requests, ...) for advanced users
    - Portable:
        - Runs out of the box(*) on any Windows 8+ with 2GB Ram (Jupyter Notebook will require a recent browser)
        - The WinPython folder can be moved to any location (**) (local, network, USB drive) with most of the application settings
    - Flexible:
        - You can install as many WinPython distributions as you want on the same machine: each one is isolated and self-consistent
        - These installations can be of different versions of Python (3.7/3.8/3.9...)
    - Customizable:
        - The integrated WinPython Package Manager (WPPM) helps installing, uninstalling or upgrading Python packages
        - It's also possible to install or upgrade packages using pip from the WinPython command prompt
        - A configuration file allows you to set environment variables at runtime

WinPython is something different from other Python Distributions (see historic motivation and concept):

    - non-invasive: WinPython lives entirely in its own directory, without any OS installation
    - customizable: add your missing packages, zip the WinPython directory and give it to your students
    - do your own version: a winpython-creator kit is made available for you

In this notebook, we cover the basics of probability theory, and show how to implement the theory in Python. (You should have a little background in probability and Python.) Then we show how to solve some particularly perplexing paradoxical probability problems.

An interesting talk about the making of a new default colormap for matplotlib.

This page provides 32- and 64-bit Windows binaries of many scientific open-source extension packages for the official CPython distribution of the Python programming language.

Boltons is a set of pure-Python utilities in the same spirit as — and yet conspicuously missing from — the the standard library, including:

- Atomic file saving, bolted on with fileutils
- A highly-optimized OrderedMultiDict, in dictutils
- Two types of PriorityQueue, in queueutils
- Chunked and windowed() iteration, in iterutils
- A full-featured TracebackInfo type, for representing stack traces, in tbutils

Make Excel fly with Python!

Replace your VBA code with Python, a powerful yet easy-to-use programming language that is highly suited for numerical analysis. Supports Windows & Mac!

- Easy deployment: The receiver of an xlwings-powered spreadsheets only needs Python with minimal dependencies — or nothing at all when shipped with the Python
- Cross-Platform: xlwings works with Microsoft Excel on Windows and Mac.
- Plug-and-Play: No cumbersome installation of Excel add-ins or license keys.
- Flexible: Works with pretty much every combination of Excel and Python.
- Two way communication: Call Python from Excel or interact with Excel from Python.
- Free and open-source: xlwings is released under a permissive BSD-License.

The intent of this page is to provide specific guidelines in a quick reference format for writing code that is compatible with both Python2 and Python3. The idea is that you can check this single page once you're familiar with the basic concepts and approaches but need a refresher on a specific coding techniques.

Tellement simple qu'on y pense pas forcément, sebsauvage rappelle comment partager très simplement un répertoire grâce à python :

> Placez-vous dans le répertoire à partager et tapez:
> python -m SimpleHTTPServer 5555
> Et c'est tout !   Et vous pouvez y accéder par http://adresseip:5555/