Python Tools
An overview of some of the handy tools used when developing in the Python programming language. IDE’s, analysis, and more!
Python ord(): How to Convert Character to Unicode
Python is full of useful and powerful functions. One such Python function is “ord()”. You can use the ord function to convert a single character to its Unicode code point i.e., integer representation. This function becomes very helpful when you are working with text processing, encoding, and ASCII or Unicode values. Today at PythonCentral, let […]
Read MorePySimpleGUI: GUI Framework for Python
We all know the difference a GUI makes. For beginners, a GUI provides an accessible way to use tools that might otherwise seem intimidating when presented through command line interfaces. PySimpleGUI is a lightweight and user-friendly GUI framework for Python. This allows you to create interactive applications with minimal code. Unlike Tkinter, PyQt, or Kivy, PySimpleGUI […]
Read MoreJinja2: Python’s Powerful Templating Engine Explained
Jinja2 is a designer-friendly, secure, and fast templating engine for Python. If you frequently work with web frameworks like Flask and Django, you will love it. Jinja2 lets you embed Python expressions, conditionals, and loops inside templates. This helps you build scalable and maintainable applications. Today at PythonCentral, let us explain the basics, its syntax, […]
Read MoreSnusbase: How to Check Leaked Data
Have you ever wanted an online search engine that tells you if your databases are leaked to the public or not? Snusbase will do exactly that. Security researchers, ethical hackers, and IT professionals often use it to check for compromised credentials and assess data security risks. Snusbase lets you query breached data using email addresses, […]
Read MorePython Multiprocessing for Faster Execution
In today’s data-intensive world, processing speed can be a significant bottleneck in Python applications. While Python offers simplicity and versatility, its Global Interpreter Lock (GIL) can limit performance in CPU-bound tasks. This is where Python’s multiprocessing module shines, offering a robust solution to leverage multiple CPU cores and achieve true parallel execution. This comprehensive guide […]
Read MorePython pipx: Managing Application Installation
Managing Python applications and their dependencies has always been a challenge. System-wide installations can lead to conflicts, while virtual environments add complexity when you just want to use a tool. Python pipx is a tool designed to install and run Python applications in isolated environments, combining the simplicity of global commands with the safety of […]
Read MorePython Pathlib: File System Operations in Python
In the Python ecosystem, handling file paths has traditionally been a fragmented experience. Developers often found themselves juggling multiple modules like os.path, glob, and various file I/O functions. The introduction of the pathlib module in Python 3.4 (and its inclusion in the standard library with Python 3.5) marked a significant shift toward a more cohesive, […]
Read MoreUnderstanding Python Import
Python import is a fundamental feature that enables code organization, reuse, and modular programming. Yet, despite its importance, many developers encounter confusion when dealing with imports, especially in complex project structures. This article explores Python’s import mechanism in depth, covering everything from basic syntax to advanced techniques and common pitfalls. The Basics of Python Imports […]
Read MoreDeepchecks: Testing Machine Learning Models
In the evolving landscape of machine learning, ensuring model quality and reliability has become as crucial as model development itself. Deepchecks emerges as a powerful open-source Python library designed specifically to address this need, offering comprehensive validation and testing for machine learning models. This article explores how Deepchecks works, its key features, and how data […]
Read MoreSteamSpy: Understanding Steam Game Analytics with Python
SteamSpy is a very useful tool for interpreting and understanding your game sales, player statistics, and market trends on Steam. This tool was originally developed by Sergey Galyonkin. It even provides estimated sales data and user engagement metrics based on historical data already available for general public. It is commonly used by game developers, publishers, […]
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