Scientific Computing From Scratch
A summer bootcamp on scientific computing for beginners with Python and Pytorch organized by Pratyush Tiwary, University of Maryland. All classes via zoom 4-6PM New York time. Zoom link has been sent to registered students.
2025 Instructors include:
Eric Beyerle, University of Copenhagen
Pat Walters, Relay Therapeutics
Jessica Bodosa, University of Maryland
Christian Jorgensen, University of Wisconsin - Madison
Anjali Verma, University of Maryland
Mrinal Shekhar, Broad Institute of MIT and Harvard
Pranav Gupta, Lowe’s Companies
Rishikesh Magar, Deep Apple Therapeutics
Syllabus
| Module | Scope | Notes | Time (Click to add to calendar) |
Video |
|---|---|---|---|---|
| Introduction to python | Basic syntax What is a function Useful packages Data handling |
 |
June 24 2025 4-6PM EDT | 🎬 |
| Numpy, Data Handling & Matplotlib | More Python lists, dictionaries, arrays Data Handling with Numpy |
|
June 25 2025 4-6PM EDT | 🎬 |
| Matplotlib | Basics of Matplotlib Line plots Visualizing errors Multiple subplots Contour plots |
|
July 1 2025 4-6PM EDT | 🎬 |
| Pandas and sklearn | Working with datasets | |
July 2 2025 4-6PM EDT | 🎬 |
| Introduction to machine learning with PyTorch | Part 1 | |
July 8 2025 4-6PM EDT | 🎬 |
| Introduction to machine learning with PyTorch | Part 2 | |
July 9 2025 4-6PM EDT | 🎬 |
| More on machine learning with PyTorch | Part 1 | |
July 15 2025 4-6PM EDT | 🎬 |
| More on machine learning with PyTorch | Part 2 | |
July 16 2025 4-6PM EDT | 🎬 |
Useful resources
Mathematical Foundations
- Fun with functions playlist 🍿(4 modules of average 15 min duration)
- Single variable calculus playlist 🍿 (8 modules of average 15 min duration)
- Multi variable calculus playlist 🍿 (5 modules of average 16 min duration)
- Essence of linear algebra by 3Blue1Brown
- Essence of calculus by 3Blue1Brown
- Linear algebra (Khan Academy)
Python and Data Science
- MolSSI Education Resources
- PY4E - Python for Everybody
- Learn Python - Code Academy
- Python Documentation
- Python and Jupyter Notebooks
- Python basics notebooks
PyTorch and Machine Learning
Open Education Statement
All notes of this class will be published in on this website under Creative Commons CC0 License. Should you wish to improve the course materials, please follow instructions here to submit issues or pull requests to this GitHub repo. This is a ZERO Textbook Cost course. Links to all materials will be accesible on this GitHub repo and website.