A basic introduction to Python
Python
Jupyter Lab
Data analytics
Tutorial
Who is the course for?
This course is primarily aimed at learners who require a practical introduction to Python. It assumes no previous experience using Python.
Learning Objectives
- Familiarize yourself with Python and an Integrated Development Environment (IDE) such as Jupyter Lab or VS Code, which we’ll use to interact with Python.
- Understand the basics of working with Python, including how to write and execute code.
- Use three different ways to work with Python: Python Shell, Python Scripts, and Jupyter Lab.
- Learn about Python’s basic data types and structures.
- Install and import required libraries.
- Find resources for help when coding in Python.
Prerequisites
- No prior knowledge of Python is assumed.
- Install Python and GitHub Desktop.
Course Topics
Python and IDE Essentials
Section 1: Introduction to Python and IDEs
- Introduction to Python
- Installing Python
- Setting up an Integrated Development Environment (IDE)
- Overview of Jupyter Lab, VS Code, Google Colab, and Anaconda
Section 2: Working with Jupyter Lab
- Understanding the basic syntax
- Writing and executing code in Python
- Setting up and organizing a Python project
Click on the following link to open the tutorial. |
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Introduction to Python |
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