Welcome to the Full Python course from begineer to expert level.
First portion is designed to help you get started with the Python programming language. We'll cover the following topics:
- History of Python
- Installing and running Python
- Basic syntax and data types
- Creating and using variables
- Basic arithmetic and comparison operators
- if-elif-else statements
- for and while loops
- Creating and using functions
- Lists
- Tuples
- Dictionaries
- Sets
- String operations
- Reading and writing files
- Import statement
- Using built-in modules
- Installing and using third-party modules
- Classes and objects
- Creating and using classes
- Understanding and handling errors
- Using the built-in debugger
Throughout the course, you'll work on a variety of hands-on projects to help you solidify your understanding of the concepts covered, Our next part will be intermediate level course
This portion is designed to help you take your Python skills to the next level. We'll cover the following topics:
- List comprehensions and generator expressions
- Dictionary and set comprehensions
- Deque and defaultdict
- Anonymous functions (lambda)
- Higher-order functions
- Closures and decorators
- Advanced class and object concepts
- Property decorators
- Abstract classes and interfaces
- Mixins
- Advanced exception handling
- Custom exceptions
- Exception chaining
- Creating and using iterators
- Creating and using generators
- yield and yield from
- Namespaces and scope
- Packages and relative imports
- Advanced import mechanisms
- Reading and writing CSV, JSON, and other formats
- File and directory handling
- Advanced file and directory handling
- Threading and multiprocessing
- Asynchronous programming with asyncio
- Coroutines and Futures
Throughout the course, you'll work on a variety of hands-on projects to help you solidify your understanding of the concepts covered, the next level will be advance level.
This portion is designed to help you take your Python skills to an expert level. We'll cover the following topics:
- Dynamic creation of classes and methods
- Function and class decorators
- Meta-classes
- Introspection
- Sockets
- Encryption and security
- Network protocols (HTTP, FTP, SMTP, etc.)
- Network libraries (Requests, Scapy, etc.)
- Web frameworks (Django, Flask, Pyramid, etc.)
- Web scraping
- Web services (REST, SOAP)
- WebSockets
- SQL and NoSQL databases
- Object-Relational Mapping (ORM)
- Database migrations
- Advanced queries
- NumPy, pandas, and Matplotlib
- Advanced data visualization
- Machine learning (scikit-learn, TensorFlow, Keras, etc.)
- Deep learning (PyTorch, TensorFlow, etc.)
- Concurrent programming using asyncio and threading
- Parallelism using multiprocessing
- Distributed computing using Dask and Apache Spark
- Graph algorithms
- Advanced sorting algorithms
- Dynamic programming
- Advanced data structures (e.g. AVL trees, Tries)
- Creational patterns (e.g. Singleton, Factory)
- Structural patterns (e.g. Adapter, Facade)
- Behavioral patterns (e.g. Iterator, Observer)
- Concurrency patterns (e.g. Thread pool, Actor model)
Throughout the course, you'll work on a variety of hands-on projects to help you solidify your understanding of the concepts covered.
Let's get started!