Python Programmer

Gain the career-building skills you need to successfully develop software, wrangle data, perform advanced data analysis, and become a Python programmer. No prior coding experience is required; you can start your journey to becoming a Python programmer today! In this track, you’ll learn how to manipulate data, write efficient Python code, and work with challenging data, including date and time data, text data, and web data using APIs. As your skills grow, you'll progress to writing Python functions and unit testing—an essential skill needed to find bugs in your code before your users do! Through interactive exercises, you'll also gain experience working with powerful Python libraries, including NumPy, pytest, and pycodestyle, that will help you perform key programmer tasks such as web development, data analysis, and task automation. By the time you finish this track, you’ll have a firm grasp of what’s needed to become a Python programmer and have the skills to get started as one.

Python67 hours17 Courses

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Introduction to Python

Master the basics of data analysis with Python in just four hours. This online course will introduce the Python interface and explore popular packages.

4 hours

Intermediate Python

Level up your data science skills by creating visualizations using Matplotlib and manipulating DataFrames with pandas.

4 hours

Data Manipulation with pandas

Learn how to import and clean data, calculate statistics, and create visualizations with pandas.

4 hours

Python Data Science Toolbox (Part 1)

Learn the art of writing your own functions in Python, as well as key concepts like scoping and error handling.

3 hours

Python Data Science Toolbox (Part 2)

Continue to build your modern Data Science skills by learning about iterators and list comprehensions.

4 hours

Data Types for Data Science in Python

Consolidate and extend your knowledge of Python data types such as lists, dictionaries, and tuples, leveraging them to solve Data Science problems.

4 hours

Writing Efficient Python Code

Learn to write efficient code that executes quickly and allocates resources skillfully to avoid unnecessary overhead.

4 hours

Working with Dates and Times in Python

Learn how to work with dates and times in Python.

4 hours

Regular Expressions in Python

Learn about string manipulation and become a master at using regular expressions.

4 hours

Web Scraping in Python

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

4 hours

Writing Functions in Python

Learn to use best practices to write maintainable, reusable, complex functions with good documentation.

4 hours

Introduction to Shell

The Unix command line helps users combine existing programs in new ways, automate repetitive tasks, and run programs on clusters and clouds.

4 hours

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

Software Engineering for Data Scientists in Python

Learn about modularity, documentation, and automated testing to help you solve data science problems more quickly and reliably.

4 hours

Developing Python Packages

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

4 hours

Unit Testing for Data Science in Python

Learn how to write unit tests for your Data Science projects in Python using pytest.

4 hours

Object-Oriented Programming in Python

Dive in and learn how to create classes and leverage inheritance and polymorphism to reuse and optimize code.

4 hours

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Join over .css-1osvizq-TrackShowPage{color:#03ef62;}11,690,000 learners and start Python Programmer today!

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Join over 11,690,000 learners and start Python Programmer today!