Modules and Packages with Python

Modules and Packages with Python

An introduction to modules & packages, importing, and libraries in Python. This course focuses on the usage of several notable libraries, including random, math, and datetime.

8 hours

6 assignments

4 videos

Beginner

Course
Description

Do you need to read JSON or CSV data? Do you need to work with HTTP, APIs, or XML? Python has a module for that.

It's often said that Python comes with "batteries included". That's because Python contains a huge number of supporting libraries and modules already 'builtin'. Even if your required module is not 'builtin', it's extremely simple to install. This course will also cover virtualenvs, the pip commands, and third party modules.

"In this course, I explain the concepts of modules and packages and then progress to using both 'builtin' and third party (pip installable) modules."

Instructor Santiago Basulto

Santiago Basulto

Course Instructor

Curriculum

Python Modules and Packages

Libraries

LESSONS: 4

Using Modules

Virtualenvs and 3rd party modules

Packages

Most common stdlib modules

LESSONS: 3

Random Modules Assignments

Math and statistics assignments

Datetime assignments

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Course instructor

Santiago Basulto

Data Scientist at RMOTR

Santiago is an experienced Data Scientist and Python programmer with more than 10 years of experience in the field. He started as a Java developer working as a consultant on high performance and critical systems before moving to Python. In 2012 was hired as the CTO of Athlete.com, a startup analyzing data from runners. He then fell in love with Data processing with Python and in 2015 founded RMOTR, to provide expert-level Data Science training.