Live Introduction to Python Training Course
Introduction to Python
| Course Number: |
#CED-1779 |
| Course Length: |
3 days |
Grants (discounts) are available for multiple students for the same or different courses. |
Instructor-Led
- Certified Instructor
- Includes all course materials
Can't travel or you want to stay with your family or business. No problem!
Stay in your own city and save the additional expenses of roundtrip airfare, lodging, transportation, and meals and receive the same great instruction live from our instructors in our Live Instructor-Led Remote Classroom Training.
Remote Classroom Training
Our Remote Classroom Training is a live class with students observing the instructor and listening through your computer speakers.
You will see the instructor's computer, slides, notes, etc., just like in the classroom. You will be following along, doing work, labs, and individual assignments.
CED Solutions Rewards Points Program
"The instructor was fantastic! The enthusiasm and knowledge are 1st rate. I could not have asked for a better instructor. CED Solutions is totally a 1st class operation. The instruction was excellent and the staff was exceptional. I would most certainly recommend CED Solutions in the future." -Jeffery Przychocki, Cleveland, OH
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.
Course Objectives
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.
Who Should Attend?
This course is ideal for both new programmers and experienced developers seeking to add Python to their skillset.
Agenda
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.
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