Python Developer Course is designed to equip learners with the necessary skills and knowledge to become proficient Python programmers. It covers the fundamental concepts of Python programming, including data types, control flow, functions, modules, and object-oriented programming.

The course will also introduce learners to various libraries and frameworks used in Python development, such as NumPy, Pandas, Django, and Flask, and show how to use them to build real-world applications.

Here is an overview of what you can expect to learn in a typical Python Developer Course:

1. Introduction to Python: Introduction to the Python programming language, its features, and benefits.

2. Variables and Data Types: Learn how to declare variables and use data types such as integers, floats, strings, and booleans.

3. Control Flow: Learn how to use loops and conditional statements to control the flow of code execution.

4. Functions: Learn how to create and use functions to perform repetitive tasks and make code reusable.

5. Modules: Learn how to use modules to organize code into reusable components.

6. Object-Oriented Programming (OOP): Learn how to create classes and objects and use OOP concepts like inheritance and polymorphism.

7. File Handling: Learn how to read and write data to files using Python.

8. NumPy: Introduction to the NumPy library for scientific computing with Python.

9. Pandas: Introduction to the Pandas library for data manipulation and analysis.

10. Django: Introduction to the Django web framework for building web applications.

11. Flask: Introduction to the Flask web framework for building web applications.

12. Project: Work on a project that incorporates the concepts and skills learned throughout the course.

By the end of the course, learners will have a solid foundation in Python programming and be able to build real-world applications using Python and its libraries and frameworks.

Python Topics
 Introduction
 Core Python Introduction of Python
 Installing Python IDES – Python IDLE and Anaconda
 Data-types in Python
 Variables in Python:
 Initialization Declaration and Use Typecasting in Python
 Operators in Python: Assignment, Logical, Arithmetic
 Taking User Input Conditional Statements: If else and Nested, If else and elif
 Collections: List, Tuple, Sets and Dictionary
 Loops in Python: For Loop, While Loop and Nested Loops
 String Manipulation: Basic Operations, Slicing,
 Functions and Methods User Defined Functions,
 Types of Functions
 Lambda Function Importing
 Modules: Maths Module
 Object Oriented Programming in Python
 Python Dates
 Python Math
 Python JSON
 Python RegEx
 Python Try…Except
 Python User Input
 Python String Formatting

Advanced Python Syllabus
 Iterators for Dictionaries
 Modules: Maths Module
 File Handling
 Recursion
 Data structure in Python