Python RoadMap

 Python Program Language Course RoadMap

Week 1: Introduction to Python and Programming Concepts

• Lesson 1: Introduction to Python and Programming

• Lesson 2: Installing Python and Setting Up Environment

• Lesson 3: Variables, Data Types, and Operators

• Lesson 4: Conditionals and Control Structures

• Lesson 5: Loops and Iterations

Week 2: Strings and String Manipulations ( Strings in Python part1 )

• Lesson 6: Strings and String Formatting & more ( Strings in Python part2 )

• Lesson 7: String Formatting Advance ( Strings in Python part3 )

• Lesson 8: Lists, List Manipulations, and Slicing (List in Python part1)

• Lesson 9: List Comprehension (List in Python part2)

Week 3: Sets, Tuples, and Dictionaries

• Lesson 10: Sets and Set Manipulations

• Lesson 11: Tuples and Tuple Manipulations

• Lesson 12: Dictionaries and Dictionary Manipulations

• Lesson 13: Python Collections Module

Week 4: Functions and Modules

• Lesson 14: Python Functions Foundations CL-16         

                                Anatomy of a Function                                 Function Syntax & Calling Functions

                                Function Parameters                                 Return Values                                 Default Parameters

• Lesson 15: Parameters and Arguments CL-17

                                Parameters in Python Functions                                 Default Parameters in Python                                 Difference between Parameters and Arguments                                 Positional Arguments in Python                                 Keyword Arguments in Python and more

• Lesson 16: Python Built-in Functions and Modules Advanced Level CL-18

                                    Lambda Functions

                                    Higher-Order Functions

                                    Inner Functions

                                    Decorators (basic understanding)

                                    Variable-Length Arguments (*args, **kwargs)

• Lesson 17: Python Functions Advanced Level Last Part CL-19

                                Pure Functions

                                Error Handling

                                Function Composition

                                Generator Functions

                                Namedtuples and Data Structures

Week 5: Object-Oriented Programming

• Lesson 18: Introduction to Object-Oriented Programming CL-20

• Lesson 19: Python Classes and Objects CL-21

• Lesson 20: Encapsulation and Abstraction CL-22

• Lesson 21: Inheritance and Polymorphism CL-23

Week 6: Exceptions, Files, and Modules

• Lesson 22: Handling Exceptions

• Lesson 23: Reading and Writing Files

• Lesson 24: Working with CSV and JSON

• Lesson 25: Working with Dates and Times

Week 7: Advanced Topics in Python

• Lesson 26: Multithreading and Concurrency

• Lesson 27: Debugging and Testing

• Lesson 28: Decorators and Generators

• Lesson 29: Context Managers and with Statement

Week 8: Web Development with Django

• Lesson 30: Introduction to Django and Web Development

• Lesson 31: Setting up a Django Application

• Lesson 32: Routing and Views in Django

• Lesson 33: Templating in Django

Week 9: Databases with SQLite and SQLAlchemy

• Lesson 34: Introduction to Databases and SQL

• Lesson 35: Creating and Querying Databases with SQLite

• Lesson 36: ORM and SQLAlchemy Basics

• Lesson 37: Relationships and Querying with SQLAlchemy

Week 10: Data Science with Python

• Lesson 38: Introduction to Data Science and NumPy

• Lesson 39: Working with Arrays and Linear Algebra

• Lesson 40: Data Manipulation with Pandas

• Lesson 41: Data Visualization with Matplotlib

Week 11: Machine Learning with Scikit-Learn

• Lesson 42: Introduction to Machine Learning

• Lesson 43: Preprocessing and Feature Engineering

• Lesson 44: Classification Algorithms in Scikit-Learn

• Lesson 45: Regression Algorithms in Scikit-Learn

Week 12: Deep Learning with TensorFlow

• Lesson 46: Introduction to Deep Learning and Neural Networks

• Lesson 47: Building and Training a Neural Network in TensorFlow

• Lesson 48: Convolutional Neural Networks (CNNs) for Image Classification

• Lesson 49: Recurrent Neural Networks (RNNs) for Text Generation

Week 13: Advanced Data Science and Machine Learning Techniques

• Lesson 50: Unsupervised Learning with Clustering

• Lesson 51: Dimensionality Reduction with PCA and t-SNE

• Lesson 52: Natural Language Processing (NLP)