Puneet Verma

Puneet Verma is a software developer specialising in backend architecture, Dynamic Programming, and SaaS solutions. He focuses on building optimised, scalable applications and sharing deep-dive technical tutorials to help developers master complex algorithmic patterns.

Thread Safety: Safeguarding Your Code in a Multi-Threaded World

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Thread Safety

As software development increasingly embraces multi-threading for improved performance, ensuring thread safety becomes essential. Thread safety guarantees that multiple threads can safely access shared resources without causing data corruption or unpredictable behaviour. In this article, we’ll explore the importance of thread safety and practical strategies for implementing it in your applications. What is Thread Safety? … Read full article: Thread Safety: Safeguarding Your Code in a Multi-Threaded World

What’s New in Python 3.13

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Python3.13

Python 3.13 introduces several significant updates, from enhanced performance to new features and deprecations, aimed at improving developer experience and code performance. Key Changes in Python 3.13 Experimental JIT Compiler More about JIT GIL (Global Interpreter Lock) Improvements More about GIL Improved REPL Updated pathlib Behavior Enhanced Error Messages Memory Optimization for Docstrings Typing System … Read full article: What’s New in Python 3.13

The Python GIL Dilemma

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GIL

The Global Interpreter Lock (GIL) in Python is a subject of considerable interest, especially for those who work with Python for concurrent programming. Understanding the GIL is essential for anyone looking to maximize Python’s performance or work with parallelism effectively. This article will dive deep into the concept of the GIL, why it exists, its … Read full article: The Python GIL Dilemma

JIT Compilation: Bridging Interpretation and Execution

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Jit

Just-In-Time (JIT) compilation is a technique used in programming languages and runtime environments to improve the performance of applications by combining the benefits of both interpretation and static compilation. This article provides a comprehensive overview of JIT compilation, including its working principles, advantages, disadvantages, and real-world applications. What is JIT Compilation? How JIT Compilation Works … Read full article: JIT Compilation: Bridging Interpretation and Execution

Interpreters and Compilers: Foundations of Code Translation

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Interpreter compiler

In the realm of programming languages, interpreters and compilers serve as essential tools for translating human-readable code into machine-readable instructions. These two approaches, each with distinct methods and efficiencies, form the backbone of software development by enabling computers to process high-level languages. This article explores the definitions, functions, differences, advantages, disadvantages, and use cases of … Read full article: Interpreters and Compilers: Foundations of Code Translation

Exploring Python Implementations: A Comprehensive Overview

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Cython

Python implementations provide a versatile approach to programming, known for their simplicity and readability. While CPython is the default and most popular choice, several alternative Python implementations cater to specific needs and environments. This article explores these options, highlighting their unique features and ideal use cases. CPython Description: CPython is the standard implementation of Python, … Read full article: Exploring Python Implementations: A Comprehensive Overview

A Detailed Overview of Gunicorn: Python WSGI HTTP Server

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Gunicorn

Gunicorn, short for “Green Unicorn,” is a Python WSGI (Web Server Gateway Interface) HTTP server for UNIX. It is a widely used and well-regarded production server that allows developers to run Python web applications. Its lightweight nature, ease of configuration, and performance make it the go-to server for many Python web applications, especially those built … Read full article: A Detailed Overview of Gunicorn: Python WSGI HTTP Server

Thread, Processor and Worker

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Program

A thread is a unit of execution within a process, allowing tasks to run concurrently, while the processor (CPU) handles these tasks by performing computations. A worker executes specific jobs within an application, often as part of a pool, to enhance parallelism and efficiency. What is a Program? It’s an executable file that contains the … Read full article: Thread, Processor and Worker

Understanding Asyncio and Threads in Python

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Asyncio

Concurrency is a crucial concept in programming, especially when dealing with tasks that need to be executed simultaneously or when optimizing for time. Python offers multiple ways to handle concurrency, with two of the most popular approaches being asyncio and threads. While both serve the purpose of making applications more efficient, they have distinct mechanisms, … Read full article: Understanding Asyncio and Threads in Python

Synchronous vs Asynchronous: Key Differences Explained

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Synchronous and Asynchronous

In computing, the concepts of synchronous and asynchronous execution play crucial roles in how tasks are managed and processes are carried out. While both approaches have merits, they are suitable for different use cases. Understanding the key differences between synchronous and asynchronous execution helps design more efficient and responsive applications. Synchronous Execution Synchronous execution refers … Read full article: Synchronous vs Asynchronous: Key Differences Explained