Welcome to Python for Science

This interactive Jupyter Book is designed to guide you through foundational concepts in Python programming, with a focus on applications in science. Each module contains Jupyter notebooks with embedded explanations, code, and activities.

Module 1: Getting Set Up

• 1. Setting up your computer — Setting up your computer

• 2: Runnng and Creating Jupyter Notebooks — Getting started with Jupyter Notebooks

• 3. Overview of Jupyter Notebooks — Introduction to Jupyter Notebooks

• 4. Computer Hardware Germane to Running a Program — Operating Systems and Hardware

• 5. Git and GitHub — Introduction to Git

• 6. Object Oriented Programming — Understanding Object-Oriented Programming

• 7. Virtual Environments — Working with Virtual Environments

Module 2: Data Structures

• 1. Primative Data Structures — Primitive Data Structures

• 2. Python as a Calculator — Python as a Calculator

• 3. Composite Data Structures — Composite Data Structures

• 4. Built-In Modules — Built-in Modules

• 5. Logic and Control Structures — Control Structures

• 6. External Data Structures — External Data Structures

• 7. Databases as External Data Structures — Brief Intro do Databases

• 8. APIs as External Data Structures — Data and APIs

• 9. WebScraping as External Data Structures — Web Scraping

Module 3: Packages

• 1. NumPy — NumPy

• 2. Pandas — Pandas

• 3. Xarray — Xarray

• 4. MatPlotLib — MatPlotLib

• 5. Seaborn Part 1 — Seaborn Part 1

• 7. Seaborn Part 2 — Seaborn Part 2

• 7. Seaborn Part 3 — Seaborn Part 3

• 8. SciPy — SciPy

• 9. RDKit — RDKit

• 10. RDKit and Descriptors — RDKit and Discriptors