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Python Developer

Build on the Associate Python Developer career track, taking your knowledge and skills to the next level! Now you are familiar with the core skills required for Python Developers, such as building classes and functions, using iterators, and working with various data types, you'll move on to more advanced concepts and techniques. Start by learning about different approaches for testing your code, using pytest to perform checks. Enhance your code by discovering techniques to measure and improve its efficiency, and bring your loose code together by developing your own Python packages! Add a new tool to your developer arsenal by learning to use Git for version control, which is crucial when working on collaborative software projects. You'll discover how developers gather information from the internet and manipulate it for their use cases through web scraping. Finally, you'll conclude by working with various data structures and algorithms! At the end of this track, you'll be equipped to tackle complex Python software projects!

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1
Introduction to Testing in Python

Master Python testing: Learn methods, create checks, and ensure error-free code with pytest and unittest.

4 hours

Alexander Levin Headshot

Alexander Levin

Senior Data Scientist

2
Introduction to Git

Familiarize yourself with Git for version control. Explore how to track, compare, modify, and revert files, as well as collaborate with colleagues using Git.

4 hours

George Boorman Headshot

George Boorman

Curriculum Manager, DataCamp

3
Intermediate Object-Oriented Programming in Python

Build your OOP skills with descriptors, multilevel inheritance, and abstract base classes!

4 hours

Jake Roach Headshot

Jake Roach

Data Engineer

4
Developing Python Packages

Learn to create your own Python packages to make your code easier to use and share with others.

4 hours

James Fulton Headshot

James Fulton

Climate Informatics Researcher

5
Web Scraping in Python

Learn to retrieve and parse information from the internet using the Python library scrapy.

4 hours

Thomas Laetsch Headshot

Thomas Laetsch

Data Scientist at New York University

6
Building a Calorie Intake Calculator

Develop a new app feature with your Python skills to calculate calories and nutrition values from user input.

2 hours

Stan Konkin Headshot

Stan Konkin

ML Content Developer, DataCamp

7
Data Structures and Algorithms in Python

Explore data structures such as linked lists, stacks, queues, hash tables, and graphs; and search and sort algorithms!

4 hours

Miriam Antona Headshot

Miriam Antona

Software Engineer

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Prerequisites

  • Associate Python Developer

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