Home - News ( United States | United Kingdom | Italy | Germany ) - Football scores

Showing content from https://learnbyexample.github.io/py_resources/specific.html below:

Specific features - Python Resources for Everybody

• How to use Abstract Syntax Trees (AST) to understand code
• Learn Python ASTs, by building your own linter
• Abstract Syntax Trees in Python

• Async IO in Python: A Complete Walkthrough
• Async Python in real life
• Python Concurrency — Threads, Processes, and asyncio Explained
• Concurrency and async / await — asynchronous code, concurrency, and parallelism
• Basics of concurrency — concurrency landscape, APIs, docs, books, and glossary
• Python Concurrency: The Tricky Bits
• Speed Up Your Python Program With Concurrency — threading, asyncio, and multiprocessing

• The Power of Object-Oriented Programming
• stackoverflow: When should I be using classes in Python?
• The Inner Workings of Python Dataclasses Explained
• Inheritance vs Composition

• Python docs HOWTOs: Argparse Tutorial
• click — creating beautiful command line interfaces in a composable way with as little code as necessary
• Rich — make your command line applications visually appealing and present data in a more readable way
• Textual — Text User Interface framework for Python inspired by modern web development

• The Magic of Python Context Managers
• Python with Context Managers
• Creating a context manager in Python
• Context Managers — text and video tutorial

• Python behind the scenes — CPython virtual machine, how CPython compiles a program, main parts of the interpreter, etc
• CPython Object System Internals: Understanding the Role of PyObject — understand how objects are implemented in CPython and how CPython emulates Inheritance and Polymorphism in C using struct embedding

• stackoverflow: Decorators demystified
• Decorator pattern in Python
• All About Decorators in Python
• Decorator library
• Python Inner Functions: What Are They Good For?
• Solving Logic Problems with Python Decorators

• Python docs: Errors and Exceptions
• Handling exceptions in Python like a PRO
• Guide to Error Handling in Python
• Exceptions And Errors — text and video tutorial

• stackoverflow: What does the yield keyword do? — also explains iterables and generators
  • stackoverflow: use cases for 'yield from'
• Yield and Generators Explained
• How to make an iterator in Python
• Python docs: itertools — functions creating iterators for efficient looping
• Itertools Hacks — Avoiding nested loops, Infinite loop with a count, etc
• Page iterator in Python
• Intricate interleaved iteration — is there any reason to use a Python generator if I need to store all the values anyway?

• A Guide to Python Lambda Functions
• calmcode.io: lambda — video, includes usage in pandas
• Yet Another Lambda Tutorial

• stackoverflow: Slice notations and assignments
• A Comprehensive Guide to Slicing in Python
• List comprehensions explained visually
• Comprehensions in Python the Jedi way
• calmcode.io: comprehensions — video
• stackoverflow: How to copy 1-D and multi-D lists
• Python docs: collections — container datatypes

• Python docs HOWTOs: Logging
• Python docs: Logging Cookbook
• Logging in Python like a PRO

• Memoization in Python
• Python docs: functools.lru_cache
• stackoverflow: What is memoization and how can I use it in Python?

• stackoverflow: How to execute a program or call a system command from Python?
• stackoverflow: difference between subprocess and os.system
• stackoverflow: How to use subprocess command with pipes?
• stackoverflow: when should shell=True be avoided?
• stackoverflow: How to iterate over files in a given directory?
• Python pathlib Cookbook: 57+ Examples to Master It
• pathlib module: taming the file system

• Pattern matching tutorial for Pythonic code
• PEP 636: Structural Pattern Matching Tutorial
• Structural Pattern Matching in Python

• Python docs: deterministic profiling of Python programs
• Speed up your code
• Profiling and Analyzing Performance of Python Programs
• stackoverflow: How can you profile a Python script?
• Easy speedup wins with Numba
• How Numba and Cython speed up Python code
• cProfile recipe with pstats

• Packaging Python Projects — walks you through how to package a simple Python project
• stackoverflow: What is setup.py?
• Packaging and Distribution
• How to create a Python package in 2022
• Comprehensive guide to Python project management and packaging — what was used before, why it needed to change, and how the changes provided by the PEPs solved the issues
• Publishing Python Packages — book covering how to create masterful, maintainable Python packages, includes pro tips for design, automation, testing, deployment, etc

• Understanding Python re(gex)? — my book on regular expressions, covers built-in re and third-party regex modules
  • Interactive app with 100+ regex exercises — based on practice problems from my book
  • PyRegexPlayground — interactive playground for Python Regular Expressions
  • Python regular expression cheatsheet — my blog post, includes examples as well
• regex101 — visual aid and online testing tool for regular expressions, select flavor as Python before use
• debuggex — railroad diagrams for regular expressions, select flavor as Python before use
• Awesome Regex — curated collection of regex tools, tutorials, libraries, etc

• Python docs HOWTOs: Socket Programming
• Sockets for dummies
• Socket Programming in Python

• PyMOTW-3 — how to use the modules of the Python standard library
• Python Standard Library changes in recent years

• The Comprehensive Guide to mypy
• Hypermodern Python: Typing
• Python Type Checking

On newer versions of Python, I use the simple commands shown below to create a new virtual environment. This approach should work out-of-the-box, but might depend upon the OS you are using. I'm on Linux.

# this is needed only once
# 'new_project' is the name of the folder, can be new or already existing
# use py instead of python3.13 for Windows
$ python3.13 -m venv new_project

$ cd new_project/
$ source bin/activate
(new_project) $ # pip install &LTmodules>
(new_project) $ # do some scripting
(new_project) $ deactivate
$ # you're now out of the virtual environment

Here's some resources on this messy topic:

• Virtual Environments Demystified
• Python Virtual Environments: A Primer
• calmcode.io: virtualenv — video
• Python Project Setup – Virtual Environments and Package Management
• stackoverflow: What is the difference between venv, pyvenv, pyenv, virtualenv, virtualenvwrapper, pipenv, etc?

RetroSearch is an open source project built by @garambo | Open a GitHub Issue

Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo

HTML: 3.2 | Encoding: UTF-8 | Version: 0.7.4