Python Programming

Introducing Advance Python Programming

2 Month Program

5/5

(4.8 reviews)

About Advance Python Programming

The Python Programming course is designed to equip learners with the fundamental skills and knowledge needed to excel in Python development. Covering a range of essential topics, from basic syntax and data structures to advanced concepts like object-oriented programming and exception handling, this course offers a comprehensive introduction to Python. Participants will engage in hands-on exercises and real-world projects to reinforce their understanding and develop practical programming skills. By the end of the course, students will be proficient in writing efficient, clean, and well-structured Python code, preparing them for various applications in data analysis, web development, automation, and more.

Curriculum

Duration: 2 Month

5/5

(4.8 reviews)

Know more about the course:

Python is a programming language that is known for its simplicity and readability. Guido van Rossum created it and was first released in 1991. Python supports various programming paradigms, including procedural, object-oriented, and functional programming. Here is a comprehensive overview of Python programming:

1. Syntax and Structure:
– Python code is structured into statements and blocks of code.
– Unlike languages such as C or Java that use curly braces, Python uses indentation (whitespace) to indicate blocks of code.
– Statements are typically written one per line, but you can also use semicolons to write multiple statements on a single line.

2. Variables and Data Types:
– Variables are used to store data in Python. They are dynamically typed, which means you don’t need to declare the type of a variable before using it.
– Python supports various data types, including integers, floats, strings, booleans, lists, tuples, sets, dictionaries, and more.

3. Control Flow:
– Python provides support for conditional statements such as if, Elif, and else.
– Looping constructs like for loops and while loops are also available in Python.

4. Functions:
– In Python, functions are defined using the `def` keyword.
– Functions can have parameters and return values.
– Python supports both built-in functions and user-defined functions.

5. Modules and Packages:
– Python’s modular structure allows you to organize your code into reusable modules and packages.
– Modules are simply Python files that contain functions, classes, and variables.
– Packages are directories that contain multiple modules and are identified by a special `__init__.py` file.

6. Object-Oriented Programming (OOP):
– Python supports object-oriented programming through the use of classes and objects.
– Classes encapsulate data and behavior into objects.
– Python also supports features of OOP such as inheritance, encapsulation, and polymorphism.

7. Exception Handling:
– Python provides robust support for handling exceptions using try, except, else, and finally blocks.
– This allows for effective error handling and graceful program execution.

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