Our Introduction to Python course is designed to take complete beginners or experienced developers up to speed on Python’s capabilities, setting up students for success in using Python for their specific field of expertise.
Whether you have never programmed before, already know basic syntax, or want to learn about the advanced features of Python, this course is for you! In this course we will teach you Python 3. Learn how to use Python for real-world tasks, such as working with PDF Files, sending emails, reading Excel files, scraping websites for information, working with image files, and much more! This course will teach you Python in a practical manner and provides a full coding screencast and a corresponding code notebook to review the concepts and exercises conducted in class.
Please note, this course is able to be offered in either 3 full day sessions or 5 partial day sessions. See the schedule for details
Who Should Attend
Complete beginners who have never programmed before to experienced developers coming from another programming language.
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.