How to Clone Python Objects: Shallow vs Deep Copy

🐍📰 Shallow vs Deep Copying of Python Objects What's the difference between a shallow and a deep copy of a Python object? Learn how to clone arbitrary objects in Python, including your own custom classes. #python

🐍📰 Async IO in Python: A Complete Walkthrough This tutorial will give you a firm grasp of Python’s approach to async IO, which is a concurrent programming design that has received dedicated support in Python. #python

🐍📰 Python "while" Loops (Indefinite Iteration) In this tutorial, you'll learn about indefinite iteration using the Python while loop. You’ll be able to construct basic and complex while loops, interrupt loop execution, and more. #python

🐍📰 Working With JSON Data in Python In this tutorial you'll see hands-on examples of working with Python's built-in "json" module all the way up to encoding and decoding custom objects. #python

🐍📰 Python's Instance, Class, and Static Methods Demystified This tutorial helps demystify what's behind class, static, and instance methods in Python. #python

Reduce Python execution time for sequential algorithms. Tom Reid demonstrates how to call C code using subprocesses, ctypes, and C extensions, with benchmarks for each method.

🐍📰 Python’s Requests Library (Guide) In this tutorial on Python's "requests" library, you'll see some of the most useful features that requests has to offer as well as how to customize and optimize those features. #python

A Python rule of thumb: Use a dictionary for a single object or when the structure is dynamic. Use a dataclass when you want to create multiple structured objects with the same fields. By Jessica Wachtel

Python Inner Working Step 1: The Python compiler reads a Python source code or instruction in the code editor. In this first stage, the execution of the code starts. Step 2: After writing Python code it is then saved as a .py file in our system. In this, there are instructions written by a Python script for the system. Step 3: In this the compilation stage comes in which source code is converted into a byte code. Python compiler also checks the syntax error in this step and generates a .pyc file. Step 4: Byte code that is .pyc file is then sent to the Python Virtual Machine(PVM) which is the Python interpreter. PVM converts the Python byte code into machine-executable code and in this interpreter reads and executes the given file line by line. If an error occurs during this interpretation then the conversion is halted with an error message. Step 5: Within the PVM the bytecode is converted into machine code that is the binary language consisting of 0's and 1's. This binary language is only understandable by the CPU of the system as it is highly optimized for the machine code. Step 6: In the last step, the final execution occurs where the CPU executes the machine code and the final desired output will come as according to your program.

🚀 Python 3.14 is officially out! Released on October 7, 2025, this major update brings exciting new features: Deferred annotations are now default — no more  __future__  imports. Template strings ( t"" ) offer safer, customizable string interpolation. Smarter REPL & error messages improve the dev experience. Multiple interpreters now available via  concurrent.interpreters . Free-threaded Python (no GIL!) unlocks true multi-core parallelism. This release marks a big leap forward for Python’s performance, usability, and concurrency. https://realpython.com #Python #DevTools #Programming #Python314 #OpenSource #mutlithread_python #parallel_processing