Python Programming Education - Learn Python Programming Online

Introduction to Python

Syntax and Basics:

Variables and Data Types

Python supports various data types such as integers, floats, strings, lists, tuples, sets, dictionaries, etc.

Operators

Python provides various operators for arithmetic, comparison, logical operations, etc.

Control Structures

Python supports control structures like if, elif, else statements, and loops (for loops, while loops).

Functions

Functions are defined using the def keyword. They can have parameters and return values.

Modules and Packages

Python allows you to create modules and packages to organize and reuse code. You can import modules using the import statement.

Data Structures:

Lists

Lists are ordered collections of items, which can be of any type. They support indexing and slicing operations.

Tuples

Tuples are immutable sequences of elements. They are defined using parentheses and support indexing and slicing.

Sets

Sets are unordered collections of unique elements. They support mathematical set operations like union, intersection, difference, etc.

Dictionaries

Dictionaries are key-value pairs, where each key is unique and associated with a value. They are unordered and mutable.

Object-Oriented Programming (OOP):

Classes and Objects

Python supports object-oriented programming paradigm. Classes define objects and their behavior.

Inheritance

Classes can inherit attributes and methods from other classes. Python supports single and multiple inheritance.

Constructor in Inheritance

Polymorphism

Polymorphism allows objects of different classes to be treated as objects of a common superclass.

Encapsulation

Abstract Class and Abstract Method

Memory Management

Automatic Memory Management:

Overview of Python's automatic memory management system.
Role of the Python Memory Manager (PMM).
The concept of reference counting.

Memory Allocation:

Dynamic memory allocation in Python.
Allocation strategies used by Python for different data types.

Reference Counting:

Explanation of reference counting as a memory management technique.
How Python keeps track of references to objects.
Advantages and limitations of reference counting.

Garbage Collection:

Introduction to garbage collection in Python.
Generational garbage collection algorithm used by Python.
Triggering garbage collection manually and automatically.

Circular References and Memory Leaks:

Understanding circular references and their impact on memory management.
Detection and resolution of circular references to prevent memory leaks.

Memory Optimization Techniques:

Techniques for optimizing memory usage in Python programs.
Strategies for reducing memory overhead and improving performance.

Memory Profiling and Debugging:

Tools and techniques for memory profiling in Python.
Identifying memory usage patterns and bottlenecks.
Debugging memory-related issues in Python applications.

Memory Views and Buffers:

Memory views and buffers for efficient data manipulation.
Using memory views to access and manipulate raw memory data.

External Memory Management:

Interfacing with external memory management libraries.
Integration with C libraries for low-level memory management tasks.

Memory Management Best Practices:

Best practices for effective memory management in Python.
Tips for writing memory-efficient code and avoiding common pitfalls.

Exception Handling

Try and Except Blocks
Handling Exceptions
Custom Exceptions
Finally Block

File Handling:

Reading from Files

Python provides functions to read data from files, such as open(), read(), readline(), readlines().

Writing to Files

Data can be written to files using functions like write(), writelines().

File Modes

File modes specify the purpose and access mode of file operations (e.g., read mode, write mode, append mode).

Frame Work

a framework is essentially a collection of pre-written code and libraries that provide a structure and set of guidelines for developing applications. Frameworks make development faster and more efficient by offering reusable components and handling routine tasks like URL routing, database interactions, and form validation

Django

Known for its "batteries-included" philosophy, Django is a high-level web framework that encourages rapid development and clean, pragmatic design. It's excellent for building robust, scalable web applications

Flask

Flask is a lightweight and flexible micro-framework for building web applications. It's simple to use and doesn't impose any dependencies or project structure, making it a great choice for small to medium-sized projects or when you want more control over your application's architecture

Pyramid

Pyramid is a minimalistic web framework that is highly configurable and suitable for both small and large applications. It's known for its flexibility and ability to scale, making it a good choice for complex web projects

FastAPI

FastAPI is a modern, fast (high-performance) web framework for building APIs with Python 3.7+ based on standard Python type hints. It's particularly popular for building APIs quickly and efficiently

Tornado

Tornado is a scalable, non-blocking web server and web application framework. It's known for its high performance and is often used for building real-time web applications like chat applications or APIs that require long-lived connections

GUI Libraries

A GUI, or Graphical User Interface, is a visual way for users to interact with electronic devices or software applications, employing graphical icons and visual indicators instead of text-based interfaces. It enhances user experience by providing intuitive, easy-to-use interfaces for performing tasks and accessing features. GUIs are ubiquitous in modern computing devices, ranging from computers and smartphones to household appliances.

API

In Python, APIs (Application Programming Interfaces) allow different software applications to communicate with each other. Python provides various libraries for working with APIs. For example, you can use the `requests` library to make HTTP requests to APIs, `Flask` or `Django` for building APIs, and `json` or `xml` libraries for handling data formats like JSON or XML commonly used in API responses.

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