Python Homework + Projects – Beginner Problem Solving Practice | No Solutions | Jupyter Coding Exercises

🧠 Python Homework + Projects – Beginner Coding Practice (No Solutions)

This Problem Solving Pack is part of a larger structured course taught at the university level — and now adapted for independent learners and educators.
It includes all the coding homework assignments and projects from the Introduction to Programming in Python course, giving you real-world challenges to apply what you've learned.

📦 What’s Inside:
✅ 4 Homework Assignments (increasing complexity)
✅ 2 Capstone Projects (consolidate learning)
📁 Formats: .docx, .pdf, .ipynb
❌ No solution files (see bundle with solutions in the shop page)



-Built by a Former University Professor
These materials are extracted from a university-level Introduction to Programming in Python course previously taught at the University of Maryland.
They're optimized for learning, reinforcement, and evaluation — not just testing.

🎯 Ideal For:
Self-learners ready for hands-on practice
Teachers or tutors looking for challenge problems
Homeschool families teaching coding independently


📎 File Format:
✅ .ipynb jupyter notebooks
✅ Optional solution set available in a bundle or as part of full course
✅ Instantly downloadable ZIP file



💡 Want the Full Course?

This is just one part of the full Introduction to Programming in Python course, which also includes:
🧠 22 Jupyter Step-by-Step Notebooks with clear comments and Markdowns
💼 20+ Learning Checks and 6 Quizzes
✅ Full solutions to all exercises


✨ Save more with the complete course bundle. Check out the Data Pathway shop.


Topics include:
✅ Introduction to Computation, Python, Anaconda, Jupyter & Spyder
✅ Statements and Variables
✅ Data Types
✅ Operators
✅ Conditional Statements (if, else, elif)
✅ Loops (for, while)
✅ Strings and String Operations
✅ Lists and List Comprehension
✅ Tuples and Sets
✅ Dictionaries and Key-Value Pairs
✅ Functions and Parameters
✅ Working with Files
✅ Libraries in Practice:
-pandas for Data Analysis
-matplotlib and seaborn for Visualization


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