Python Programming with Practice from Beginner to Advanced: 1st Part

Learn Python by Building, Testing, and Practicing 💻

Python Programming with Practice from Beginner to Advanced: 1st Part takes a workshop approach. Instead of long theoretical detours, it explains a concept and then asks you to try it. Chamsseddine Rebbaj opens with environment setup—installing Anaconda, launching Jupyter Notebook, and using the Python terminal—so the first lines of code happen early. The setup chapter uses Python 3.7.

From Math and Strings to Logic and Loops

The first chapter covers the everyday mechanics of Python: numbers, variables, operators, strings, casting, input, Booleans, comparison operators, conditionals, and loops. Exercises appear throughout, so you can test how Python handles order of operations, string methods, type changes, and program flow before moving on.

Core Data Structures in Practical Context

Lists, dictionaries, tuples, and sets get their own focused chapter. You work with shopping-list data, movie records, employee tables, nested lists for matrices, and basic matrix operations. The goal is not just to memorize syntax, but to see how Python’s built-in structures fit real data-handling tasks.

Scripts, Algorithms, and Functions ⚙️

Later sections move into Python scripts and modules, shebangs, docstrings, imports, and the if __name__ == "__main__" pattern. Algorithms are introduced with time complexity, bubble sort, linear search, and binary search. Functions are covered from basic definitions through positional and keyword arguments, *args and **kwargs, recursion, dynamic programming, variable scope, and lambda functions with map, filter, and sorting examples.

Practice That Makes Concepts Stick 🧠

The book contains more than 50 exercises and 10 activities, with solutions provided. Exercises walk through a problem step by step; activities leave room for open-ended exploration. Jupyter screenshots and illustrations help clarify what you should see on screen. This structure supports self-study, classroom use, or anyone who learns best by typing code and checking results.

Who This First Part Is For

If you are new to programming and want a guided path into Python, the sequence starts at installation and builds steadily. Readers with some exposure to another language can use the exercises to sharpen Python-specific habits. Because the material emphasizes practice, it is especially useful for students, self-learners, and instructors who want a ready supply of short coding tasks.

Start Coding with a Clear Path

Python remains a strong first language because its readability lets you focus on problem-solving. This first part turns that idea into a structured routine: set up the tools, learn the syntax, apply it to small problems, and review the solutions. It is a practical starting point for anyone ready to write Python rather than simply read about it.