This course runs for a duration of 3 days.
The class will run daily from 8 AM CT to 4 PM CT.
Class Location: Virtual LIVE Instructor Led - Virtual Live Classroom.
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.
Who Should Attend
This course is ideal for both new programmers and experienced developers seeking to add Python to their skillset.
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.
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.
