Python Protocols for Efficient Coding

🐍📰 Namespaces in Python In this tutorial, you'll learn about Python namespaces, the structures that store and organize the symbolic names during the execution of a Python program. #python

🐍📰 Python's "in" and "not in" Operators: Check for Membership In this tutorial, you'll learn how to check if a given value is present or absent in a collection of values using Python's in and not in operators, respectively. #python

🐍📰 Why Are Membership Tests So Fast for range() in Python? In Python, range() is commonly used in for loops. However, ranges have some other use cases too. In this tutorial, you'll explore why performing a membership test on a range is so fast. #python

🐍📰 How to Convert Bytes to Strings in Python Turn Python bytes to strings, pick the right encoding, and validate results with clear error handling strategies #python

🐍📰 Python mmap: Improved File I/O With Memory Mapping In this tutorial, you'll get a quick overview of the different types of memory before diving into how and why memory mapping with mmap can make your file I/O operations faster. #python

🐍📰 Python Logging: A Stroll Through the Source Code In this step-by-step tutorial, you'll learn about how the Python logging package is designed from an OOP perspective. #python

List comprehensions are one of those Python features that look intimidating at first and then become second nature fast. New tutorial on PythonCodeCrack walks through everything from the ground up: — The three-part syntax and what each part does — How a comprehension maps to an equivalent for loop — Adding filter conditions — Using enumerate() and zip() as source iterables — Ternary expressions vs. filter conditions (a common point of confusion) — When not to use a comprehension — How CPython executes them differently from for loops, including what changed in Python 3.12 — Dict and set comprehensions Includes an interactive syntax visualizer, step tracer, spot-the-bug challenges, quizzes, and a final exam with a certificate of completion. https://lnkd.in/g6VisquH #python #FreeCertificationCourse #tutorials

Using modern tooling in Python, Tom Reid explains how you can identify errors and issues in your code earlier on in the software-development lifecycle.

🐍📰 Working With Files in Python In this tutorial, you'll learn how you can work with files by using built-in modules to perform practical tasks that involve groups of files, like renaming them, moving them, getting their metadata,and more. #python