Module 1: Python
Overview
Welcome to the Python course for the EDSP mentoring program!
Python is the most widely used data science programming language in the world today. Below you will find a list of core Python concepts you’ll need as you begin your journey into Data Science and Machine Learning.
We don’t dig into specific frameworks, but we help get you ready to start exploring on your own.
What you’ll learn
- The basics of Python
- Variables & Data Types
- Data Structures
- For Loops & Conditions
- Writing Functions
- Plotting Data
- Reading Tabular Data into DataFrames
- Libraries
Before you begin
The learning material reported in the Table of Contents below is available from this link: http://swcarpentry.github.io/python-novice-gapminder/
Topic Kickoff
| Resources | Links |
|---|---|
| Presentation | Presentation as PDF |
| Recording | Recording |
Table of Contents
| Time | Resources | Links |
|---|---|---|
| Setup | Setup | |
| 00:00 | Running and Quitting | Running and Quitting |
| 00:15 | Variables and Assignment | Variables and Assignment |
| 00:35 | Data Types and Type Conversion | Data Types and Type Conversion |
| 00:55 | Built-in Functions and Help | Built-in Functions and Help |
| 01:20 | Morning Coffee | Break |
| 01:35 | Libraries | Libraries |
| 01:55 | Reading Tabular Data into DataFrames | Reading Tabular Data into DataFrames |
| 02:15 | Pandas DataFrames | Pandas DataFrames |
| 02:45 | Plotting | Plotting |
| 03:15 | Lunch | Break |
| 04:00 | Lists | Lists |
| 04:20 | For Loops | For Loops |
| 04:45 | Conditionals | Conditionals |
| 05:10 | Looping Over Data Sets | Looping Over Data Sets |
| 05:25 | Afternoon Coffee | Afternoon Coffee |
| 05:40 | Writing Functions | Writing Functions |
| 06:05 | Variable Scope | Variable Scope |
| 06:25 | Programming Style | Programming Style |
| 07:25 | Pandas merge & joins | Pandas merge & joins |
| 08:00 | Group by | Pandas groupby |
| 08:15 | Wrap-Up | Wrap-Up |
| 08:30 | Break | Break |
| 10:30 | Numpy | Numpy |
Additional Resources/Optional
If you have a DataCamp account, you can complete the curriculum above by completing the following DataCamp Python courses:
Advanced Learning Material / Optional
After completing the curriculum in the Table of Contents, if you’d like to go deeper in more advanced topics, feel free to complete the following learning material:
Test your knowledge
If you have a DataCamp account you can practice your Python skills using the following links:
Python Notebook Challenge
Test your new Python skills by solving the quiz/reply questions on the notebook below: