Python Lazy Loading with Importlib

Welcome to this tutorial on Python Lazy Loading with importlib! In this tutorial, we’ll explore how to use the importlib library to achieve lazy loading of modules in your Python code. Introduction to Importlib The importlib library is a part of the Python standard library and provides programmatic access to Python’s import system. It allows … Read more

How to Import Python Files from Subdirectories

When developing larger Python projects, it is common to organize code into different directories or subdirectories to maintain a clean and structured project layout. However, when you split your code into subdirectories, you may encounter difficulties in importing Python files between these directories. In this article, we will explore various methods to import Python files … Read more

Guide to Hidden Imports in Auto-Py-to-EXE

Auto Py to Exe is a convenient tool that allows you to convert your Python scripts into standalone executables. However, there may be situations where your script relies on external modules or packages that are not automatically detected by Auto Py to Exe. In such cases, you need to use “hidden imports” to explicitly include … Read more

Accelerating Python Code with Numba Vectorize

In the world of numerical computing, performance optimization is paramount. Python, with its interpreted nature, may not always offer the desired speed for computationally intensive operations. However, Numba, a powerful library, comes to the rescue with its array-oriented computing capabilities and just-in-time (JIT) compilation. In this article, we will explore one of Numba’s most valuable … Read more

Creating a Table in CustomTkinter

CustomTkinter is a powerful library that extends the functionality of Tkinter in Python. While CustomTkinter does not provide a built-in table widget, we can recreate a table-like structure using the grid() layout manager and entry widgets. In this tutorial, we will guide you through the step-by-step process of building a custom table in CustomTkinter. We … Read more

Numba Tutorial: Accelerating Python Code with JIT Compilation

In today’s data-driven world, performance optimization plays a crucial role in computational tasks. Python, being an interpreted language, may not always provide the desired speed for computationally intensive operations. However, Numba, a powerful library, comes to the rescue by offering just-in-time (JIT) compilation capabilities, significantly accelerating Python code execution. This tutorial aims to provide a … Read more

How to read Excel files with Multiple Sheets in Python Pandas

Excel files often contain multiple sheets, each representing different aspects of data. When working with such files in Python, it is crucial to know how to extract and analyze data from specific sheets. This tutorial will demonstrate how to read Excel files with multiple sheets using Pandas, a Python library. The read_excel() method: read_excel() allows … Read more

Python JIT Compilers – Just in time compilation

Python, known for its simplicity and ease of use, has gained immense popularity among developers. However, its interpreted nature often comes at the cost of performance. This is where Just-in-Time (JIT) compilation steps in as a game-changer. In this article, we’ll explore the concept of JIT compilation, its benefits, and delve into popular Python JIT … Read more

Python APScheduler: Exploring the Power of AsyncIOScheduler

Python’s APScheduler library is a powerful tool for scheduling and automating tasks. One of the standout features of APScheduler is the AsyncIOScheduler, which allows developers to schedule asynchronous functions and coroutines effortlessly. In this article, we will delve into the AsyncIOScheduler, exploring its capabilities, benefits, and how it can streamline your asynchronous task scheduling needs. … Read more

Cython vs CPython – Comparing the Speed Difference

In this Cython vs CPython Article, we will be conducting a speed comparison using 10 different benchmarks, covering diverse scenarios and edge cases. Python is a popular programming language known for its simplicity and readability. However, it is an interpreted language, which can sometimes result in slower execution speeds compared to compiled languages like C. … Read more

How to Install Webdriver_manager Chrome in Selenium Python?

In this Python tutorial, we will learn how to install Selenium for Chrome using the Webdriver_manager module. Selenium is a popular open-source framework used for automating web browsers. It provides a convenient way to interact with web elements, perform actions, and extract data from websites. To use Selenium with Python, you need to have the … Read more

Running Headless Selenium in Python (2023)

In the world of web testing and automation, Selenium has become a popular tool for developers and testers alike. It allows us to simulate user interactions with web applications, automate repetitive tasks, and perform end-to-end testing. But have you ever wondered if there’s a way to run Selenium tests without a visible browser window? That’s … Read more