Developing Python Packages

via

DataCamp

Course Features

Duration

4 hours

Delivery Method

Online

Available on

Limited Access

Accessibility

Mobile, Desktop, Laptop

Language

English

Subtitles

English

Level

Intermediate

Teaching Type

Self Paced

Video Content

4 hours

Course Description

This course offers a solution to the common problem of copying and pasting code into different files. It teaches you how to wrap your code into Python packages, making it easier to read and share. The course covers package structure and how to turn loose code into packages. It also introduces Flake8, a tool for maintaining import structure and code style. To save time, you'll learn how to use cookiecutter to create packages. Furthermore, the course guides you through the process of publishing your packages to PyPI, the global stage for Python packages, using tools like twine and setuptools. This comprehensive course is perfect for anyone looking to enhance their Python programming skills and become a proficient developer.

Course Overview

Virtual Labs

International Faculty

Post Course Interactions

Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

Writing Functions in Python

Introduction to Shell

What You Will Learn

Finally, you'll learn how to use setuptools and twine to build and publish your packages to PyPI—the world stage for Python packages

In this course, you’ll learn about package structure and the extra files needed to turn loose code into convenient packages

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

You'll also learn about import structure, documentation, and how to maintain code style using flake8

Course Content

Expand all sections

Module 1: From Loose Code to Local Package

Module 2: Install Your Package from Anywhere

Module 3: Increasing Your Package Quality

Module 4: Rapid Package Development

Course Instructors

James Fulton

Climate Informatics Researcher

James is a PhD researcher at the University of Edinburgh, where he tutors computing, machine learning, data analysis, and statistical physics. His research involves using and developing machine learn...