1. About the Course
- Author : Asad Patel
- Type : 400 Exercises Python for A complete beginners and advanced learners
- Language : English
- License : For educational and non-commercial use only — All rights reserved to the author
2. Short Description
This Python course introduces the language from the ground up — covering syntax, variables, data types, loops, functions, file handling, OOP, modules, exceptions, and practical projects. Perfect for self-learners and students.
2. Long Description
The document titled Python Programming Language Tutorial by Asad Patel is a comprehensive and practical guide designed to teach Python programming to learners of all levels. It provides a smooth progression from basic concepts to advanced techniques, enabling the reader to master both the syntax and the logic behind the language.
The first chapters introduce the history and philosophy of Python, highlighting its simplicity, readability, and wide applicability in fields such as data science, AI, web development, and automation. Readers learn how to install Python, use an IDE, and execute their first scripts.
The course covers variables, constants, and data types (int, float, str, bool), explaining how to manipulate and convert them. The use of operators (arithmetic, logical, and comparison) is clearly illustrated through numerous examples and hands-on exercises.
As the learner progresses, the tutorial explores conditional structures (if, elif, else) and loops (for, while) to control program flow. It emphasizes indentation and clean coding conventions — a hallmark of the Pythonic style. The reader then moves on to writing functions with parameters and return values, encouraging modular and reusable design.
The tutorial gives special attention to data structures such as lists, tuples, sets, and dictionaries, explaining their differences, common methods, and use cases in real-world applications. Each example demonstrates how to perform iteration, filtering, sorting, and aggregation efficiently.
Advanced chapters introduce the principles of object-oriented programming (OOP), teaching readers how to create classes, objects, constructors, and methods. Concepts such as inheritance, encapsulation, and polymorphism are explained with practical code samples. These lessons help learners understand how to structure and maintain scalable applications.
The book also delves into file handling — including reading and writing files, error handling with try, except, and finally blocks, and the importance of data persistence. Commonly used modules such as os, sys, datetime, and math are introduced, showing how Python simplifies complex operations.
A variety of mini-projects are included — such as simple calculators, text processors, and file managers — encouraging readers to apply their knowledge to practical programming challenges. Each chapter ends with review questions and exercises that reinforce the key ideas.
The tone of the book is approachable, clear, and student-friendly. Instead of focusing solely on theory, it emphasizes practice and experimentation. Through repetition and example-based learning, readers develop an intuitive understanding of Python’s logic and gain the confidence to write their own programs.
By the end of the course, learners will have acquired a solid foundation in Python programming, including the ability to create, debug, and organize scripts, build modular code, and interact with files and data. This makes the document an excellent resource for students, teachers, and self-learners aiming to become proficient in one of the most widely used programming languages in the world.
3. Document preview
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