CodeStips

Python Development

Python Portfolio Projects That Impress Employers

Python Portfolio Projects That Impress Employers

Career & Job Tips

Build a portfolio of real-world Python projects to showcase problem-solving skills and practical value to employers, moving beyond basic tutorials.

Python Skills for Remote Jobs

Python Skills for Remote Jobs

Career & Job Tips

Python developers need strong technical and soft skills to succeed in remote roles, including proficiency in programming, frameworks, and cloud tools.

Python TypeError: Causes and Fixes

Python TypeError: Causes and Fixes

Error Handling & Exceptions in Python

A TypeError occurs when an operation is applied to an object of an inappropriate type. Understanding and fixing these errors is a key skill for Python developers.

Python Variables and Constants Reference

Python Variables and Constants Reference

Cheatsheets & Reference Guides

Variables are named containers for storing data in Python. They can hold numbers, text, and more, and are fundamental to how code manages and manipulates information.

Scrum Basics for Python Teams

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.

Serving CSS and JS in Flask

Serving CSS and JS in Flask

Flask Framework

Learn how to enhance your Flask app's appearance by adding CSS and JavaScript through the static directory. This guide covers setup, linking files, and best practices for a responsive, styled application.

Setting Up a Virtual Environment for Flask

Setting Up a Virtual Environment for Flask

Flask Framework

Learn why and how to set up a virtual environment in Flask to manage dependencies and avoid conflicts between projects.

Top Python Libraries to Know for Jobs

Top Python Libraries to Know for Jobs

Career & Job Tips

Must-know Python libraries for data science, web dev, automation, and software engineering. Boost your job prospects with these essential tools.

Understanding Test Suites in Python

Understanding Test Suites in Python

Testing & Debugging

Learn how to organize and run multiple Python tests efficiently with test suites to streamline development and ensure code quality.

Using timeit for Benchmarking

Using timeit for Benchmarking

Best Practices & Optimization

Use Python's built-in timeit module for accurate, reliable benchmarking by running code multiple times to minimize system noise and deliver precise performance measurements.