Research Guides: Python (programming language): Python Workshop Resources

Workshop Notebooks on Google Colab Direct Links

Click the following links to launch the respective workshop's Google Colab notebooks.

CS1005 Introduction to Programming with Python & R

Workshop 1: Foundations - Introduction to Programming with Python & R
Click the link above to find the Colab notebook for the first in-person workshop for CS1005 - Introduction to Programming with Python & R. This workshop will be held in Langsam 462 from 5:30-7:30pm on 02/06/24.
Workshop 2: Foundations - Introduction to Programming with Python & R
Click the link above to find the Colab notebook for the second in-person workshop for CS1005 - Introduction to Programming with Python & R. This workshop will be held in Langsam 462 from 5:30-7:30pm on TBD.
Workshop 3: Foundations - Introduction to Programming with Python & R
Click the link above to find the Colab notebook for the second in-person workshop for CS1005 - Introduction to Programming with Python & R. This workshop will be held in Langsam 462 from 5:30-7:30pm on TBD.

Data Science

Introduction to Data Science with Python (Colab.)
Click the link to launch the notebook in Google Colab.

MATH-3006

Introduction to Python Programming
Click the link to launch the Jupyter notebook on Google Colab.
Introduction to Python Programming on Binder
Click the link to launch the Jupyter notebook on the Binder instance

BME 3060

Introduction to Python
Click the link to launch the Jupyter notebook on the Binder instance
Introduction to Python Jupyter Notebook

Surveys
Click the link to download the dataset

AEEM 2058 - Aerospace Computing

Introduction to Python Programming
Click the link to launch the Jupyter Notebook on the Binder platform
Introduction to Python Programming Notebook

UC Data Day

Data Analysis with Python
Click the link to launch the Google Colab. notebook for the workshop content

GIS Day Workshop

Getting started with Python using Jupyter Notebook
Click the above link to launch the Jupyter Notebook on the Binder platform

Python Workshop GitHub Resources

Following are the links to the workshop repositories on GitHub.

Foundations of Python 1: Variable and Data Types
This workshop focuses on the basic building blocks of Python - syntax and data structures
Foundations of Python 2: Control Flow and Functions
Building on topics of the "Foundations of Python 1" workshop. Basic knowledge on the data structures in Python or attendance at the "Foundations of Python 1" workshop is strongly recommended. This workshop covers the control flow, loops and function definitions
Foundations of Python 3: Modules, Classes & File Operations
Building on topics of the "Foundations of Python" 1 & 2 workshops. Basic knowledge of Python or attendance at the beginner's workshops is strongly recommended. This workshop includes slightly advanced topics like objects, classes, file operations etc.
Data Manipulation with Python
Building on topics of the "Foundations of Python" workshop series. Prior experience with Python or attendance at these workshops is strongly recommended. This workshop explores 'pandas', a python data analysis library, using a data file
Data Visualization with Python: Matplotlib, Pandas, Seaborn
Building on topics of the "Foundations of Python" series, and "Data Manipulation with Python" workshop. Prior experience with Python or attendance at these workshops is strongly recommended. This workshop deals with different libraries like matplotlib, pandas, seaborn to visualize the data
Data Analysis with Python: Linear Regression
This workshop focuses on using python for regression analysis to predict, forecast, and understand the relationships between variables using Numpy, scikit-learn and statsmodels. Profound knowledge on functions, classes, modules and visualization tools in python is required for this workshop

Once you are in a workshop's repository, click the 'launch binder' or 'Open in Colab' button to launch the notebook on the respective platforms. Binder and Colab. are interactive environments that allow you to run code in a web browser without the need for any installations. Below image is an example from the Foundations of Python 1 repository.