Python Language from Scratch to Data Structure & Algorithm

Master Python Programming from Basics to Advanced with Real-World Coding and Projects

What you’ll learn
✓ Students will learn Python syntax, data types, and core programming concepts.
✓ Students will learn Python syntax, data types, and core programming concepts.
✓ They will master Python collections like lists, dictionaries, and sets.
✓ They will implement object-oriented programming in real projects.
✓ They will handle files, exceptions, and external modules.
✓ They will build automation scripts and real-world Python applications.

Requirements
● No prior programming experience required
● A computer with internet access
● Willingness to practice coding
● Python will be installed step by step in the course

Description
Python is one of the most powerful, beginner-friendly, and in-demand programming languages used in software development, data science, automation, web development, artificial intelligence, and more. This course is designed to take you from absolute beginner to confident Python programmer through clear explanations, hands-on coding, and practical real-world examples.

You will start with Python installation, variables, data types, and basic syntax, building a strong foundation. As you progress, you will master control statements, loops, functions, and error handling to write structured and reusable code. You will work extensively with strings, lists, tuples, dictionaries, and sets, gaining a deep understanding of Python’s core data structures.

The course covers object-oriented programming, including classes, objects, inheritance, and polymorphism. You will also learn file handling, modules, packages, and virtual environments. Advanced topics include exception handling, regular expressions, working with dates and times, and performance optimization.

Beyond core programming, you will gain exposure to real-world Python usage such as automation, API usage, working with databases, and building small applications. The course also introduces popular libraries and prepares you for advanced fields like machine learning, web development, and testing frameworks.

Data Structures and Algorithms form the foundation of efficient programming and are one of the most important skills for cracking technical interviews and building high-performance software. This course is designed to give you a strong, practical understanding of DSA using Python in a structured and beginner-friendly way.

You will start by learning how Python handles memory, time complexity, and Big-O notation so that you can measure and optimize program performance. The course then introduces core data structures such as arrays and lists, stacks, queues, linked lists, hash tables, and trees. You will understand how each structure works internally and when to use which structure for maximum efficiency.

The algorithm section covers searching and sorting techniques including linear search, binary search, bubble sort, selection sort, insertion sort, merge sort, quick sort, counting sort, and radix sort. You will implement each algorithm step by step and analyze its performance.

Advanced structures like binary search trees, AVL trees, and graphs are taught with practical examples. You will also solve real coding problems to strengthen your problem-solving and logical thinking skills.

By the end of this course, you will be able to write clean, efficient Python programs, understand professional coding practices, you will be able to choose the right data structures, write optimized algorithms and confidently move into specialized Python domains or professional software development roles.

Who this course is for
■ Absolute beginners starting programming
■ Students and fresh graduates
■ Software testers and automation learners
■ Developers moving into Python
■ Anyone preparing for Python-based careers

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