Python

Using Logging Levels Effectively

Best Practices & Optimization

Learn to use Python's logging levels effectively to streamline debugging and gain deeper insights into app behavior across environments.

Using pytest Framework for Testing

Testing & Debugging

Learn how to use pytest, a powerful Python testing framework for efficient and expressive test writing.

Using Python’s open() Function

File Handling in Python

Python's open() function is essential for file handling, enabling reading, writing, and processing files with various modes, best practices, and avoiding common errors.

Using Redis or Memcached Effectively

Best Practices & Optimization

Redis and Memcached are both fast in-memory data stores used to improve app performance. Redis offers more data structures and persistence, while Memcached is simpler and ideal for basic caching.

Using schedule Module for Automation

Automation & Scripting

Learn to automate Python tasks using the schedule module, a lightweight library for setting up recurring jobs easily and efficiently.

Using Selenium for Browser Automation

Automation & Scripting

Selenium is a Python tool for automating browser tasks, ideal for developers and testers to streamline web workflows and reduce manual effort.

Using SQLite with Flask

Flask Framework

Flask and SQLite make a powerful pair for building lightweight, serverless Python web apps. Learn how to set up and integrate SQLite with Flask for efficient database handling.

Using Subplots in Matplotlib

Data Analysis & Visualization

Learn how to use Matplotlib subplots to arrange multiple plots in a grid, making it easier to compare datasets and create more effective data visualizations in Python.

Using Variables in Flask Routes

Flask Framework

Flask enables dynamic routes with variables, allowing interactive, data-driven URLs that adapt to user input and application state. Use the @app.route decorator for flexible web applications.

Variable-Length Arguments (*args, **kwargs)

Basics of Python

Learn how args and *kwargs enable Python functions to handle variable arguments, making your code more dynamic and flexible.