General Information

The main purpose of the group is to:

Show tools and applications that are useful for research
Learn how to apply such tools to projects, especially using Python
Teach good coding practices
Create a space where one can ask questions and easily get help from students, post-docs, and faculty
Improve your coding skills, and have fun while doing it!

The Github repository for this class is: https://github.com/daxfeliz/cunybridgebootcamp

Slack Information

We will be using Slack to communicate ideas, resources, changes to the schedule, etc. Make sure to download the app, since it makes it easier to know what's happening.

Slack website: CUNY Bridge Programming Bootcamp
Team Name: cunybridgebootcamp
Email address: You can use any email address. You just need to sign up to get an invite.
Slack App: You can download the Slack app for your computer/phone here.

Schedule - August 2025

(subject to change).

CUNY Bridge Bootcamp Schedule and Locations: Can be found here.

Session	Topics Covered
Session # 1	Jupyter Notebook 1 Introduction to the course arXiv NASA ADS MyADS OverLeaf Slack
Session # 2	Jupyter Notebook 2 Python setup and Anaconda Git and Github Jupyter Notebook 2B What to do if you pushed something onto a remote repository by mistake? REVERT!
Session # 3	Jupyter Notebook 3 Installation of VSCode Jupiter Notebook 4 Basic Bash commands Jupyter notebooks Python 2 vs Python 3 Jupyter Notebook 5 Functions Classes List Comprehensions Dictionaries
Session # 4	Jupyter Notebook 6 Introduction to Numpy Matplotlib Jupyter Notebook 7 Scipy Jupyter Notebook 8 Sys and Python Modules
Session # 5	Jupyter Notebook 9 Introduction to Pandas Jupyter Notebook 10 Introduction to Astropy Jupyter Notebook 11 Introduction to Astroquery
Session # 6	Open Hack Session Open Hack Session Make sure to fill out the Google Form with any topics you'd like to work on/learn more about https://docs.google.com/document/d/1cgE35mig8dc1oi02DvqP4UuqziLKRdrfdZfnGWrMl3o/edit?usp=sharing Introduction to LaTeX Introduction to LaTeX Introduction to Machine Learning Techniques Supervised and Unsupervised Learning basics Linear Regression basics with a Neural Network
Session # 7	Jupyter Notebook 12 Learn basic Statistics Practice fitting data Learn basics of MCMC analysis
Session # 8	Jupyter Notebook 13 Introduction to Gaussian Processes Example usage of Celerite2 and Pymc3
Session # 9	Artsy Programming Project Project 1: Creating Star Trails from ISS images Practice Image Processing Data Challenge: Manually Recreate a Image Stacking Process Open Hack Session Open Hack Session
Session # 10	Website Creation with Git Pages Project 2: Creating Website using Git-Pages Practice HTML, Java, CSS Practice using Git Customize your own website Open Hack Session Open Hack Session

CUNY Bridge Computational Workshop
August 2025

General Information

Slack Information

Schedule - August 2025

Other links

Version Control

Coding

LaTeX

Papers

General Advice about Reaching Out Via Email