Python Concurrency and Parallel Programming

🚀 Python Programming | Loop Control Structures Understanding loops is a key foundation in Python programming. This session covers: • for loop • while loop • break & continue • enumerate() and zip() functions Ideal for ICT students, beginners in programming, and anyone strengthening their coding fundamentals. 📌 Practical, clear, and exam-oriented explanations. 📺 Full lesson available on YouTube. #PythonProgramming #ICTTraining #SoftwareDevelopment #CodingBasics #ProgrammingEducation #LearnPython https://lnkd.in/d3D44R6x

🐍📈 Functional Programming With Python — In this learning path, you'll get a solid grasp of the fundamentals of functional programming (FP) in Python so you can use it to write concise, high-level, parallelizable code #python #learnpython

Unlock the full potential of your CPU with the new era of Python parallelism With the release of Python 3.13 and with the experimental removal of the Global Interpreter Lock (GIL), the most popular language in the world now has support for free threads. Python Free Threading offers a roadmap to this paradigm shift. The book goes through some theory, but mainly the practice of parallel programming with multi-core Python threads. https://lnkd.in/gk5mMy58

Python operators are the foundation of logic and calculations in programming. This short video explains: • Arithmetic operators • Comparison operators • Logical operators • Assignment operators Ideal for students and professionals revising Python basics. #Python #ProgrammingBasics #LearningPython #TechSkills #CareerInTech #SoftwareDevelopment

Renaming a group of files using Python Smart coding = saving time + reducing mistakes Learn practical Python skills that make your work easier, faster, and professional #PythonProgramming #FileRenaming #AutomationWithPython #CodingSkills #LearnPython 

🚀 Python Basics – Operators Explained Today I revised Python operators, covering: ✅ Arithmetic Operators ✅ Assignment Operators ✅ Comparison Operators Understanding operators is a small step, but it builds the foundation for writing clean, logical, and efficient code. Consistency in basics = confidence in advanced concepts 💻✨ #Python #Programming #LearningJourney #PythonBasics #CodeNewbie #DeveloperLife

Acquire One of the Most Needed Skills One of the most potent and adaptable programming languages available today is Python. Python is at the heart of contemporary technology, from data science and web development to automation and artificial intelligence. Our Python Programming Training is intended to assist students in developing solid programming foundations and using Python with assurance in practical situations. For more Info: www.techgenvashi.com

Is the new programming language Mojo going to stop the Rust-accelerated Python trend? Mojo: - Python syntax - Memory safety - High performance - Straightforward Python extension story What do you all think?

🚀 Implementing Encapsulation with Private Attributes in Python (Oop Concepts) In Python, encapsulation is achieved using naming conventions. While Python doesn't enforce strict private access like some other languages, prefixing an attribute with a single underscore (_) signals that it's intended for internal use. Prefixing with double underscores (__) uses name mangling, making it harder to access from outside the class. This helps to protect the data and enforce encapsulation principles. #oopconcepts #programming #coding #tech #learning #professional #career #development

Python Memory Model and Object References Python does not pass variables by value or by reference — it passes object references. Understanding this model is essential for writing predictable and efficient code. Key concepts to understand: - Variables are labels bound to objects, not containers of data - Assignment creates a new reference, not a copy - Mutable objects can be modified through any reference pointing to them - Copying (shallow vs deep) changes how objects share memory Many subtle bugs come from assuming objects behave independently when they actually share state. Clear thinking about references leads to safer and more predictable systems. #Python #Programming #MemoryManagement