CodeStips

Data Processing

Python Scripting Reference

Cheatsheets & Reference Guides

Learn essential Python scripting techniques for file handling, data processing, and automation with practical examples.

Read & Write Text Files in Python

Python for Beginners

Learn how to read and write text files in Python using the built-in open() function and essential file handling techniques.

Reading Excel Files in Python

File Handling in Python

Learn to automate Excel data processing with Python, eliminating manual tasks and enabling scalable analysis for business and research.

Reading Large Files Efficiently in Python

File Handling in Python

Learn efficient methods to read large files in Python without memory issues, handling logs, CSV, and text datasets effectively.

Reading Multiple Files in Python

File Handling in Python

Learn efficient techniques for reading multiple files in Python, including using os.listdir() to list files and handle various file types.

Reading Text Files in Python

File Handling in Python

Master proper Python file handling: always close files, use context managers, and apply best practices for reading text files effectively.

Real-Time AI Projects in Python

Machine Learning & AI

Python is the top language for building real-time AI systems like voice assistants and self-driving cars, leveraging its powerful libraries for instant processing and response.

Recap: Mastering Data Analysis & Visualization in Python

Data Analysis & Visualization

A guide to essential Python tools for data analysis and visualization, covering pandas for data manipulation and matplotlib/seaborn for charts, with best practices for efficient workflow.

Recurrent Neural Networks (RNNs) Explained

Machine Learning & AI

Recurrent Neural Networks (RNNs) are designed to process sequential data by retaining memory of previous inputs, unlike traditional networks which handle each input independently.

Scrum Basics for Python Teams

Career & Job Tips

Scrum is an agile framework ideal for Python teams, fostering collaboration and adaptability in projects like web development, data pipelines, and machine learning.