Python: real-world projects in action Level 1
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Python: real-world projects in action Level 1
Python: Real-World Projects in Action Level 1
This course is designed for IT university students and fresh graduates who have basic coding knowledge but want to enhance their experience applying Python to real-world scenarios. Over the course of 8 sessions (2 sessions per week, 2 hours each), participants will gain hands-on experience in Python programming by working on practical projects that simulate real-world challenges.
Course Schedule
The course will run from Monday, January 6 to Tuesday, January 28.
- Sessions: 2 sessions per week / 8 sessions in total.
- Days: Monday and Tuesday
- Time: 4:00 PM to 6:00 PM
- Duration: 2 hours per session
What to Expect in Level 1
- Foundations of Practical Python Programming
- Understand how to structure and organize Python projects effectively.
- Learn the workflow of solving real-world problems using Python step by step.
- Hands-On Project: Solving Real-World Challenges
- Participants will work on guided projects, applying Python to tasks like data processing, automation, and problem-solving.
- Projects will simulate real-world use cases, helping participants build confidence and practical skills.
- Core Skills Development
- Python Basics: Strengthen your understanding of variables, data types, loops, functions, and conditionals.
- Working with Libraries: Introduction to essential libraries like Pandas, NumPy, and Matplotlib for data manipulation and visualization.
- File Handling: Reading from and writing to files (CSV, JSON, and text files).
- Error Handling: Understanding exceptions and writing clean, error-resilient code.
- Development Tools and Best Practices
- Learn to write, test, and debug Python code using Google Colab.
- Basics of version control with Git and GitHub for managing and sharing your projects.
- Problem-Solving and Debugging
- Develop logical thinking and problem-solving skills by breaking down complex tasks.
- Learn how to identify and fix common Python errors and optimize code for better performance.
- Project-Based Learning
- Work on mini-projects like automation scripts, data analysis tasks, and basic applications.
- Simulate real-world scenarios to understand how Python is used in practical applications.
What Comes Next?
Level 2 will build on the foundation established in Level 1, introducing more advanced Python concepts such as:
- Advanced Data Handling: Working with larger datasets and advanced Pandas operations.
- Building Simple Applications: Using Python to create GUI applications.
- Automation and Scripting: Automating tasks like web scraping, file management, and reports.
- Advanced Data Visualization: Creating insightful graphs and dashboards with Matplotlib and Seaborn.
- Code Optimization and Best Practices: Writing cleaner, faster, and more efficient Python code.
- Collaborative Project: Work on a team-based project to simulate professional Python development workflows.
Level 1 ensures participants are ready to get into these advanced topics with confidence and apply Python to real-world challenges effectively.