Datacamp – Python Developer 2025-8

Python Developer, From testing code and implementing version control to web scraping and developing packages, take the next step in your Python developer journey! Build upon your foundational Python knowledge and take your skills to new heights in this advanced Python Developer Track. Designed for those who have mastered the basics, this Track will equip you with the tools and techniques used by professional Python developers in their daily work. Collaborate with confidence by leveraging Git, the most widely used version control system. Through hands-on exercises, you’ll learn to create and manage repositories, work with branches and remote repositories, resolve merge conflicts, and revert changes. Additionally, you’ll gain experience contributing to open-source projects, ensuring seamless teamwork and efficient version control in real-world development environments. Deepen your understanding of Python’s object-oriented programming features while exploring essential data structures and algorithms. You’ll work with descriptors, multilevel inheritance, and abstract base classes to build more flexible and maintainable code. Additionally, you’ll dive into fundamental data structures such as linked lists, stacks, queues, and hash tables, along with key searching and sorting algorithms. This section also covers time and space complexity analysis, equipping you with the skills to write efficient and optimized Python programs.

What you’ll learn

• Write comprehensive test suites using pytest to catch bugs early
• Profile and optimize your code for maximum performance
• Organize your code into reusable packages for easy distribution and maintenance

Specificatoin of Python Developer

• Publisher : Datacamp
• Teacher : Thomas Laetsch
• Language : English
• Level : All Levels
• Number of Course : 10
• Duration : 28 hours and 0 minutes

Content of Python Developer

Pictures

Sample Clip

Installation Guide

Extract the files and watch with your favorite player

Subtitle : English

Quality: 720p

Download Links

Foundations For Efficiencies

Download – 29 MB

Timing And Profiling Code

Download – 44 MB

Gaining Efficiencies

Download – 61 MB

Data Structures And Algorithms In Python

Download – 225 MB

Developing Python Packages

Download – 203 MB

Intermediate Git

Download – 97 MB

Intermediate Object Oriented Programming In Python

Download – 165 MB

Introduction To Git

Download – 125 MB

Introduction To Testing In Python

Download – 209 MB

Web Scraping With Python

Download – 176 MB

File size

1.3 GB