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HSLS MolBio Workshops

Information & resources for hands-on bioinformatics classes.

Description

Register here to join us for Python Bootcamp Week, offering a comprehensive dive into Python programming. Mirroring the approach of its R counterpart, the bootcamp unfolds through a sequence of dedicated sessions that encompass the full data analysis workflow. This includes importing and cleaning data, data manipulation, and employing advanced visualization techniques with the pandas and seaborn libraries. Below, you'll find a detailed description of each session: 

  • Register for Week 1: In "Introduction to Python, JupyterLab, and Jupyter Notebook," you'll familiarize yourself with the JupyterLab interface and learn to create integrated Juptyter notebook documents. 
  • Register for Week 2: "Data Centric Python with pandas" delves into Python's diverse data structures and unveils the analytical might of the pandas library, enhancing your data analysis skills. 
  • Register for Week 3: Advance your skills in "Data Exploration in Python with pandas and seaborn," focusing on data summarization and the art of visualization with seaborn. 

Each workshop builds on the last, ensuring a comprehensive understanding and practical application of Python for data analysis.

Want to continue learning Python? Register for Learning Python with AI to learn how to incorporate artificial intelligence into your coding workflow.

Objectives

By the end of this workshop, learners should be able to:

  • Use JupyterLab to create Jupyter Notebook documents that combine Python code with output and text
  • Use Python to import and examine data
  • Produce numerical and graphical summaries of a data set and its variables
  • Perform basic data cleaning and management with Python

Target Audience

The target audience for this workshop series is beginners and intermediates in data science, particularly those interested in learning Python programming for data importation, exploration, cleaning, and visualization.

Prerequisites

  • Installation of Anaconda Navigator/JupyterLab

Complete Prior to Workshop

  • If you do not have any previous knowledge of Anaconda/JupyterLab, or do not have it downloaded on your computer, please follow the instructions given in the Overview file. It is important you complete this before the first day. The document will also provide links to additional help and resources for Python programming.

Class Materials

Week 1 (November 12, 2024)

Week 2 (November 19, 2024)

Week 3 (December 3, 2024)