
Install Python and set up the development environment by downloading and installing PyCharm Community Edition, creating a Python project, and configuring a virtual environment.
Write your first Python program by printing text, taking user input, and performing basic calculations, including a simple calculator with two numbers and a sum.
Explore Python operators and expressions to perform mathematical calculations—addition, subtraction, multiplication, division, and modulus—and learn comparison and operators such as greater than, equal, not equal, and, or, not.
Learn how to take user input with Python's input function, format and display output, and read from and write to files using open, write, and read operations.
Master for loops over lists and ranges, and while loops in Python. Iterate sequences, print results, and control repeated execution.
Explore Python iterators and generators through practical, example-driven explanations. See how next and yield power custom iterators and generators.
Learn how list comprehensions replace loops to create squares and even numbers, with conditions, and how lambda functions provide small functions, including using map to apply lambdas to numbers.
Explore how to define and call functions in Python, create reusable blocks of code, and use parameters and return values to build readable programs.
Explore recursion in Python, defining functions that call themselves with a base case and a recursive case, illustrated by factorial, Fibonacci, sum, and power examples.
Explore importing and creating modules in Python, from built-in math and random modules to custom modules, and learn using specific functions over star imports for cleaner code.
Learn Python's lists, tuples, and sets, including ordering and mutability, immutability of tuples, and sets hold unique items; practice adding, removing, indexing, membership checks, and duplicate removal.
learn to implement stacks, queues, and linked lists in python, including push and pop on stacks, enqueue and dequeue on queues, and building and displaying a linked list.
Explore how Python constructors initialize objects and how destructors clean up resources during an object's life cycle, with hands-on examples using class attributes and models.
Learn to read and write csv and json files, and build pipelines for storing and transforming tabular and dictionary data.
Learn to handle exceptions and errors in Python with try-except and finally blocks, covering syntax errors and runtime exceptions, preventing crashes and delivering friendly error messages.
Learn how to use the os and shutil modules in Python to interact with the operating system, create and rename directories, list directory contents, and copy or move files.
Define what a database is and compare relational, NoSQL, and cloud databases, with MySQL and PostgreSQL examples; learn about database management systems and core SQL concepts (DDL, DML, DCL, TCL).
Perform CRUD operations—create, read, update, and delete—using sqlite3 in Python, including connecting to an SQLite database, creating a students table, and executing inserts, selects, updates, and deletes.
Learn to use Python's re module to search text, find patterns, and extract emails, then replace numbers and redact data with regex.
Ready to become a professional Python developer? This comprehensive course is your complete, step by step guide to mastering Python, the most versatile and in-demand programming language in the world. Whether you're a complete beginner with no coding experience or a seasoned developer looking to add Python to your skill set, this course will take you from absolute zero to a job ready developer.
Python is everywhere. It's used in web development, data science, machine learning, artificial intelligence, and automation. Knowing Python opens up a world of career opportunities. This course is meticulously designed to provide you with a deep understanding of Python's fundamentals and the practical skills needed to build a professional portfolio.
What You’ll Learn:
Python fundamentals: variables, data types, operators, and control flow
Writing reusable code with functions and modules
Mastering object oriented programming (OOP) concepts
Handling files and working with APIs
Using popular Python libraries and frameworks
Building real world projects: games, automation scripts, and web apps
Debugging, testing, and best coding practices
Introduction to web development with Flask
Preparing for job interviews and real world coding challenges
This Course Include:
Module 1: Introduction to Python
Overview of Python and its Applications
Installing Python and Setting Up the Development Environment
Writing Your First Python Program
Module 2: Python Basics
Variables and Data Types
Operators and Expressions
Python Input and Output
Type Conversion and Casting
Module 3: Control Flow in Python
Conditional Statements (if, elif, else)
Loops in Python (for, while)
Iterators and Generators
List Comprehensions and Lambda Functions
Module 4: Functions and Modules
Defining and Calling Functions
Function Arguments and Return Values
Recursion in Python
Importing and Creating Modules
Module 5: Data Structures in Python
Lists, Tuples, and Sets
Dictionaries and Dictionary Methods
Stacks, Queues, and Linked Lists
Module 6: Object-Oriented Programming (OOP) in Python
Classes and Objects
Constructors and Destructors
Inheritance and Polymorphism
Encapsulation and Abstraction
Module 7: File Handling in Python
Working with CSV and JSON Files
Handling Exceptions and Error Handling
Using the OS and shutil Modules
Module 8: Working with Databases
Introduction to Databases and SQL
Connecting Python to MySQL & SQLite
Performing CRUD Operations
Module 9: Advanced Python Concepts
Multithreading and Multiprocessing
Working with Regular Expressions
Memory Management and Performance Optimization
Decorators and Metaclasses
By the end of this course, you’ll have a strong foundation in Python programming and the confidence to build your own applications or pursue a career as a Python developer.
Enroll today and start your Python journey—one step at a time!