1.
Guten Tag!
2.
Getting Started
2.1.
Tools and Resources
2.2.
Setting Up Our Environment
2.3.
Running Python Locally
2.4.
Jupyter Notebooks
3.
Lectures
3.1.
β Installing Python
3.2.
β Thinking Programmatically
3.3.
β Basic Data Types
3.4.
β Conditionals
3.5.
β Lists
3.6.
β Dicts
3.7.
β Loops
3.8.
β Loops Practice
3.9.
β Modules & Functions
3.10.
β Classes
3.11.
β Classes Review
3.12.
β Classes (Cont'd)
3.13.
β Intro to Data Science
3.14.
β Pandas
3.15.
β Data Analysis I
3.16.
Data Analysis II
3.17.
Data Viz
3.18.
Independent Study
3.19.
Independent Study
3.20.
π Fin.
4.
Topics
4.1.
Essential Terminology
4.2.
Basic Data Types
4.3.
Conditionals
4.4.
Lists
4.5.
Dicts
4.6.
Loops
4.7.
Modules & Packages
4.8.
Functions
4.9.
List Comprehensions
4.10.
Classes
4.11.
Data Science
4.12.
Intro to Pandas Objects
4.13.
Exploratory Data Analysis w. πΌ
4.14.
Pandas Analysis II
4.15.
Data Visualization
4.16.
Course Review
4.17.
Python Project Ideas
5.
Homework
5.1.
Homework 1
5.2.
Homework 2
5.3.
Homework 3
5.4.
Homework 4
5.5.
Homework 5
5.6.
Final Project Reqs
6.
Resources
6.1.
Python Glossary
6.2.
Basic Statistics
6.3.
Pandas Glossary
6.4.
General Reference Guides
6.5.
Libraries, Packages, & Other Tools
6.6.
Cheat Sheets
6.7.
Helpful Articles/Tutorials
6.8.
Open Source Datasets
7.
About
Light (default)
Rust
Coal
Navy
Ayu
Python Programming
π Fin.
ππππΎππ»π
Objectives
Final Presentations!
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