Professional Academy Diploma in Python Computer Programming

✔  Python Basics
✔  Introduction to Python
✔  Setting up the environment (installation, IDEs)
✔  Writing your first Python program
✔  Variables and data types
✔  Basic input and output
✔  Comments and documentation
✔  Operators (arithmetic, comparison, logical, bitwise)
✔  Type conversion
✔  Strings and string operations
✔  Basic built-in functions& functions
✔  Defining and calling functions
✔  Function parameters and return values
✔  Scope and lifetime of variables
✔  Lambda functions
✔  Recursion

✔  Function Calls: Invoke functions to perform tasks.
✔  Math Functions: Use built-in functions for calculations.
✔  New Functions: Create custom, reusable functions.
✔  Parameters: Pass values into functions to customize them.
✔  Importing Functions: Add functionality by importing library functions.
✔  Return Values: Send results back from functions for reuse.

✔  Conditionals & Loops
✔  Conditional statements (if, elif, else)
✔  While loops. & For loops
✔  Nested loops and conditionals
✔  Loop control statements (break, continue, pass)
✔  Data Structures
✔  Lists, Tuples & Sets
✔  Dictionaries
✔  List comprehensions and generator expressions
✔  Advanced list operations
✔  Dictionary methods and operations
✔  Working with nested data structures
✔  Practical examples and exercises

✔  Python Data Structures Overview: Understand lists, tuples, sets, and dictionaries.
✔  Lists: Create, access, and modify list elements.
✔  Tuples: Use immutable sequences for fixed collections.
✔  Sets: Manage unique elements with set operations.
✔  Dictionaries: Store and access key-value pairs.
✔  Slicing and Filtering: Extract and filter data subsets.
✔  Adding and Deleting Elements: Modify lists, sets, and dictionaries.
✔  Aliasing and Copying: Differentiate shallow vs. deep copies.
✔  List Comprehensions: Build lists with concise syntax.
✔  Dictionary and Set Comprehensions: Simplify dictionary and set creation.
✔  Advanced List Operations: Sort, reverse, and find max/min values in lists.

✔  Object-Oriented Programming (OOP)
✔  Introduction to OOP concepts
✔  Classes and objects
✔  Attributes and methods
✔  Encapsulation, inheritance, and polymorphism
✔  Object-Oriented Programming
✔  Special methods (constructors, destructors, string representation)
✔  Class and static methods
✔  Property decorators
✔  Practical OOP exercises and projects

✔  Exception Handling & Packaging
✔  Introduction to exceptions
✔  Try, except, else, and finally blocks
✔  Custom exceptions
✔  Introduction to modules and packages
✔  Creating and using packages
✔  Managing dependencies with pip
✔  Writing and distributing Python packages
✔  Project: Building a small Python package
✔  Course review