Garbage collection (GC) is an automated memory management technique. Its main purpose is to identify and reclaim unused or inaccessible memory within a program, ensuring that memory is available for future allocations and preventing memory leaks and program crashes. In this article, we’ll explore the fundamental concepts, techniques, algorithms, and optimizations of garbage collection and … Read more
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 more
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 GIL (Global Interpreter Lock) Improvements Improved REPL Updated pathlib Behavior Enhanced Error Messages Memory Optimization for Docstrings Typing System Extensions Removals and Deprecations Platform and … Read more
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 more
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 more
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 more
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 more
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 more
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 more
Synchronous and asynchronous execution has a close relationship with parallelism and concurrency, two important concepts in computing that describe how multiple tasks can be handled. While they all deal with managing tasks, each term focuses on a different aspect of task execution. Let’s break down how synchronous, asynchronous, parallel, and concurrent execution are related. Introduction … Read more