This course introduces beginners to the Python programming language, with a brief working intro to Data Science (Pandas).
In this Python Programming course, students will walk away with a solid foundation in Python, able to confidently build basic applications. Students will also get an 8 hour dive into Pandas (for Data Science), and walk away with a project of their choosing they've built using that library.
Python Programming is a 40-hour course, delivered in a 5 day full-time format. There is no admittance requirement - this course is open to and encouraged for absolute beginners.
Once enrolled, students complete 2 hours of pre-work on the myGA platform.
| Role | GA Profile | Contact | |
|---|---|---|---|
| Lead Instructor (LI) |  |
Andrew Riddle | andrew.riddle@generalassemb.ly |
Details for the final project can be found here
Example projects from previous classes here (no need to create a presentation, just make sure your .ipynb file has Markdown fields of text)
Submissions: you will collect all relevant files for your project into a Google Drive folder and submit the shareable link via Slack DM.
Make sure the cells in your Jupyter notebook have been run before saving so we can see all results without having to re-run.
| Day 1 | Day 2 | Day 3 | Day 4 | Day 5 | Day 6 |
|---|---|---|---|---|---|
| [:30] Course Introductions | [:30] Day 2 Kickoff & Review | [:30] Day 3 Kickoff & Review | [:30] Day 4 Kickoff & Review | [:30] Day 5 Kickoff & Review | [3:00] In-Class: Final Project Workshop |
| [:30] Python Installations | [1:00] Functions (cont'd) | [:30] Inheritance | [:45] Modules & Libraries | [:30] Intro to Charts | [0:45] Lunch |
| [:05] Break | [:10] Break | [:05] Break | [:05] Break | [:05] Break | [1:30] Project Presentations |
| [1:00] Defining Variables | [1:15] Advanced Arguments | [1:00] Lab #3: OOP | [:30] Intro to Python for Data | [1:00] Plots and Charts | [:30] Wrap-up & Celebrations |
| [:10] Lab #1: Fundamentals | [:10] Break | [:10] Break | [:05] Break | [:10] Break | -- |
| [:10] Break | [:20] Lab #2: Control Flow | [:45] Variable Scope | [1:30] Pandas1 (Code) | [1:00] Pandas Datetime | -- |
| [1:00] Conditionals | [0:45] Lunch | [:15] Mid-Week Check-in | [0:45] Lunch | [0:45] Lunch | -- |
| [0:45] Lunch | [:45] Dictionaries | [0:45] Lunch | [:30] Pandas 1 (cont'd) (Code) | [1:00] Pandas Joins | -- |
| [1:00] Lists | [:05] Break | [:45] Debugging Principles | [:05] Break | [:05] Break | -- |
| [:05] Break | [:45] Sets & Tuples | [:05] Break | [1:30] Pandas 2 | [1:15] Lab #6: Pandas | -- |
| [1:00] Loops | [:05] Break | [1:00] Lab #4: Debugging | [:10] Break | [:10] Break | -- |
| [:05] Break | [1:15] Classes | [:10] Break | [:15] Final Project Discussion | [:45] Independent Work/Review | -- |
| [1:00] Functions | [:10] End-of-Day Recap | [:30] Intermediate Python Discussion | [:30] Independent Work/Review | [:30] End-of-Day Recap | -- |
| [:10] End-of-Day Recap | -- | [:30] Independent Work/Review | [:10] End-of-Day Recap | -- | -- |
| -- | -- | [:10] End-of-Day Recap | -- | -- | -- |
| Day | Suggested Homework |
|---|---|
| 1 | Lists, if/elif/else, and for/while |
| 2 | Functions, Dictionaries, Bonus: Kwargs |
| 3 | Type Conversion, TRY/EXCEPT, Debugging |
| 4 | Pandas EDA, Pandas Visualizations |
| 5 | Work on final project, Consumer Sales Exercise |