Think Python is an introduction to Python for people who have never programmed before – or for people who have tried and had a hard time.
The book is now entirely in Jupyter notebooks, so you can read the text, run the code, and work on the exercises, all in one place. Using the links below, you can run the notebooks on Colab, so you don’t have to install anything to get started.
Mastodon is an ActivityPub-based Twitter-like federated social network node. It has an API that allows you to interact with its every aspect. This is a simple Python wrapper for that API, provided as a single Python module.
Mastodon.py aims to implement the complete public Mastodon API. As of this time, it is feature complete for Mastodon version 3.5.5. The Mastodon compatible API layers of various other pieces of software as well as forks, while not an official target, should also be basically compatible, and Mastodon.py does make some allowances for behaviour that isn’t strictly like that of Mastodon, and attempts to support extensions to the API.
CardStock is a cross-platform tool for quickly and easily building programs. It provides a drawing-program-like editor for visually laying out your programs' parts, and a code editor for adding event-driven python code.
Aims to imitate Hypercard's simplicity.
Pandas Tutor lets you write Python pandas code in your browser and see how it transforms your data step-by-step.
microStudio is an integrated game development environment. It includes all the tools you need to create your first video game! microStudio offers all the following possibilities:
microStudio is easy to learn, thanks to its interactive tutorials and documentation.
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
How to install Jupyter Notebook on Ubuntu 20.04 to share live code with others. In this guide, we’ll show you how to Install Jupyter Notebook on Ubuntu 20.04 LTS. Here we show you simple ways to install Jupyter on Ubuntu 20.04 LTS (Focal Fossa). You can follow the same instructions for Ubuntu 18.04, 16.04 and any other Debian based distribution like Linux Mint and Elementary OS.
List comprehensions were added with Python 2.0. Essentially, it is Python's way of implementing a well-known notation for sets as used by mathematicians. In mathematics the square numbers of the natural numbers are, for example, created by { x2 | x ∈ ℕ } or the set of complex integers { (x,y) | x ∈ ℤ ∧ y ∈ ℤ }.
List comprehension is an elegant way to define and create lists in Python. These lists have often the qualities of sets, but are not necessarily sets.
List comprehension is a complete substitute for the lambda function as well as the functions map(), filter() and reduce(). For most people the syntax of list comprehension is easier to be grasped.
See also: [[Lambda, filter, reduce and map]]
The lambda operator or lambda function is a way to create small anonymous functions, i.e. functions without a name. These functions are throw-away functions, i.e. they are just needed where they have been created. Lambda functions are mainly used in combination with the functions filter(), map() and reduce(). The lambda feature was added to Python due to the demand from Lisp programmers.
The general syntax of a lambda function is quite simple:
lambda argument_list: expression
See also: [[List Comprehension]]
[img[https://raw.githubusercontent.com/kitao/pyxel/master/pyxel/editor/screenshots/image_tilemap_editor.gif]]
Similar to [[PICO-8]] but in python.
Thanks to its simple specifications inspired by retro gaming consoles, such as only 16 colors can be displayed and only 4 sounds can be played back at the same time, you can feel free to enjoy making pixel art style games.
<<<This notebook will explore these concepts in a concrete way using Python code. The code is meant to be succint and explicit, and fast enough to handle sample spaces with millions of outcomes. If you need to handle trillions, you'll want a more efficient implementation. I also have another notebook that covers paradoxes in Probability Theory.
An updated version of [[How to Think Like a Computer Scientist]] but with a web based interpreter.
Exploring and understanding Python through surprising snippets.
Read data from HTML tables.
Web scraping guide using Python.
Python IDE for beginners.
Pelican is a static site generator that requires no database or server-side logic.
After learning the syntax and writing small python programs. This is what's next. Packaging the software and using structure.
The book that helped me learn python in early 2000s.
[img[https://www.renpy.org/static/index-logo.png]]
Ren'Py is a visual novel engine – used by thousands of creators from around the world – that helps you use words, images, and sounds to tell interactive stories that run on computers and mobile devices. These can be both visual novels and life simulation games. The easy to learn script language allows anyone to efficiently write large visual novels, while its Python scripting is enough for complex simulation games.
A simple introduction to neural network programming using python
client side encrypted pastebin written in python