Upcoming dates

All times shown in the class's own timezone. 7 of 7 are guaranteed to run, meaning they go ahead regardless of enrollment.

Dates	Starts	Where	Status	Seat
Aug 24-26	9:00 AM to 5:00 PM EDT	Live virtual	GUARANTEED	$1,795
Sep 16-18	9:00 AM to 5:00 PM EDT	Live virtual	GUARANTEED	$1,795
Oct 12-14	9:00 AM to 5:00 PM EDT	Live virtual	GUARANTEED	$1,795
Nov 4-6	8:00 AM to 4:00 PM EST	Live virtual	GUARANTEED	$1,795
Nov 30 to Dec 2	9:00 AM to 5:00 PM EST	Live virtual	GUARANTEED	$1,795
Dec 16-18	9:00 AM to 5:00 PM EST	Live virtual	GUARANTEED	$1,795
Jan 11-13	9:00 AM to 5:00 PM EST	Live virtual	GUARANTEED	$1,795

About this class

The Introduction to Python course is designed for beginners with no prior programming experience. Participants will learn the fundamentals of Python, including syntax, data types, and control structures, while gaining hands-on experience with Jupyter Notebook and.py files. The course also introduces GUI creation within Jupyter Notebook. By the end, students will have the skills to write Python programs and develop simple applications.

Python is widely used across industries for automation, web development, data science, and machine learning. This live, instructor-led course provides a structured, practical approach to learning Python, making it accessible for both new programmers and those transitioning from other languages.

Note: Available in three full-day or five partial-day sessions. Check the schedule for options.

What you'll be able to do

Participants will develop a strong foundation in Python by learning core concepts such as syntax, data types, control flow, and key data structures. They will apply Python to real-world use cases, including automation, web scraping, GUI development, and game design, allowing them to build a portfolio of practical projects.

The course also covers advanced Python features such as object-oriented programming (OOP), decorators, generators, and modules, enabling students to write more efficient and scalable code. Additionally, they will gain hands-on experience with industry-standard tools, including Jupyter Notebooks, Python libraries, and integrated development environments (IDEs), to write, debug, and deploy Python applications professionally.

Course outline

Lesson 1: Introduction to Python Programming

What is Python?
Setting up the Python environment
Writing and executing Python scripts
Introduction to Jupyter Notebook

Lesson 2: Python Basics

Understanding Python syntax
Working with variables and data types
Input and output operations

Lesson 3: Control Structures

Conditional statements (if, else, elif)
Looping constructs (for, while)
Error handling and debugging

Lesson 4: Working with Data Structures

Lists, tuples, and sets
Dictionary operations
String manipulation

Lesson 5: Functions and Modular Programming

Defining and calling functions
Using parameters and return values
Writing modular, reusable code

Lesson 6: Working with Files

Reading from and writing to files
File handling best practices

Lesson 7: GUI Development in Python

Creating simple graphical user interfaces in Jupyter Notebook
Introduction to libraries for GUI design

Lesson 8: Putting It All Together

Developing a final project using the concepts learned
Best practices for Python programming

Hands-On Labs

Throughout the course, participants will complete hands-on labs, including:

Writing basic Python scripts in Jupyter Notebook.
Creating and manipulating data structures.
Building simple GUI applications.
Developing a mini-project as a capstone activity.

Who this is for

This course is ideal for both new programmers and experienced developers seeking to add Python to their skillset.