Python¶

+ Variables: declaration, assignment, and usage
+ Basic data types: integers, floats, strings, booleans, lists, dictionaries
+ Advanced data types: sets, tuples, NoneType

+ Conditional statements: if-else, if-elif-else
+ Loops: for, while, do-while
+ Functions: definitions, arguments, return values

+ Creating lists, indexing, slicing, and modifying elements
+ List methods: append(), extend(), insert(), remove()

+ Creating tuples, indexing, and slicing
+ Tuple methods: index(), count()

+ Creating dictionaries, key-value pairs, and accessing values
+ Dictionary methods: keys(), values(), items()

+ Reading and writing text files
+ Reading and writing CSV, JSON, and other file formats

+ Defining classes, attributes, and methods
+ Creating objects, accessing attributes, and calling methods

+ Single inheritance: base class, derived class
+ Multiple inheritance: multiple base classes

+ Method overriding: same method name with different implementations
+ Method overloading: multiple methods with the same name

+ Importing built-in modules (e.g., math, statistics)
+ Importing custom modules (e.g., own modules or third-party libraries)

+ Creating a new module
+ Exporting functions, variables, and classes from a module

+ Creating packages: directories with __init__.py files
+ Installing packages using pip

+ Catching exceptions: try-except blocks
+ Raising custom exceptions

+ Using print statements for debugging
+ Using a debugger (e.g., pdb, PyCharm)
+ Understanding the Python interpreter's output

+ Defining generators: yielding values and returning values
+ Creating iterators: iterating over sequences and dictionaries

+ Introduction to asynchronous programming in Python
+ Using AsyncIO: creating coroutines, handling exceptions

+ Introduction to web development with Python (e.g., Flask, Django)
+ Creating web applications: routing, templates, databases

+ PEP 8: coding conventions for Python
+ Code readability and maintainability

+ Introduction to popular code editors (e.g., PyCharm, Visual Studio Code)
+ Features of Integrated Development Environments (IDEs)

+ Official Python documentation: https://docs.python.org/
+ Documentation for specific libraries and frameworks

+ Beginner-friendly books and tutorials
+ Advanced topics and specialized resources