Advanced Python Course Certification - Classroom

Course timeline

1. Basics of Python

   Lesson 1

   • Install Python distribution (Anaconda)
   • Data types & variables
   • Strings & regular expressions
   • Hands‑on: Install and configure Anaconda

2. Built-in Data Structures

   Lesson 2

   • Arrays
   • Lists
   • Tuples
   • Dictionaries
   • Sets
   • Write Python Code

3. Statements and Syntax

   Lesson 3

   • For Loop
   • While Loop
   • Break Statement
   • Next Statements
   • Repeat Statement
   • if, if…else Statements
   • Switch Statement

4. Functions Definitions

   Lesson 4

   • Writing your own functions (UDF)
   • Calling Python Functions
   • Functions with Arguments
   • Calling Python Functions by passing Arguments
   • Lambda Functions
   • Write Python Code to create your own custom functions without or with arguments

5. User Inputs and Outputs

   Lesson 5

   • Using input() and getpass() for user input
   • Debugging with "format".format_map(vars())
   • Using argparse to get command-line input
   • Using cmd for creating command-line applications
   • Using the OS environment settings
   • Write Python Code to use User Inputs to make it more flexible.

6. Modules and Packages

   Lesson 6

   • Initialization code
   • Namespaces
   • Executing modules as scripts
   • Documentation
   • Packages and name resolution
   • Naming conventions
   • Using imports
   • Hands-on: Write Python Code to define a module and implement module search path.

7. Meta Programming

   Lesson 7

   • Implicit properties
   • globals() and locals()
   • Attributes
   • The inspect module
   • Decorators
   • Monkey Patching
   • Hands-on: Write a Python code to use decorators in order to transform the execution of a function.

8. Object Oriented Programming Concepts

   Lesson 8

   • Methods
   • Inheritance
   • Encapsulation
   • Polymorphism
   • Hands-on: Write Python code to construct a class and define objects.

9. Basics of Classes and Objects

   Lesson 9

   • Using a class to encapsulate data and processing
   • Designing classes with lots of processing
   • Designing classes with little unique processing
   • Optimizing small objects with __slots__
   • Extending a collection – a list that does statistics
   • Using properties for lazy attributes
   • Using settable properties to update eager
   • attributes
   • Hands-on: Write Python Code to design classes and objects.

10. Input/Output, Physical Format, and Logical Layout

    Lesson 10

    • Using pathlib to work with filenames
    • Reading and writing files with context managers
    • Replacing a file while preserving the previous version
    • Reading delimited files with the CSV module
    • Reading complex formats using regular expressions
    • Reading JSON documents
    • Reading XML documents
    • Reading HTML documents
    • Upgrading CSV from DictReader to namedtuple reader
    • Upgrading CSV from DictReader to namespace reader
    • Using multiple contexts for reading and writing files
    • Hands-on: Write Python Code to write JSON documents, HTML documents.

11. Advanced Class Design

    Lesson 11

    • Choosing between inheritance and extension
    • Separating concerns via multiple inheritance
    • Leveraging Python’s duck typing
    • Managing global and singleton objects
    • Using more complex structures – maps of lists
    • Creating a class that has orderable objects
    • Defining an ordered collection
    • Deleting from a list of mappings
    • Hands-on: Write Python Code to manage singleton and global objects. Define an ordered collection.

12. GUI Programming

    Lesson 12

    • The mainwindow object
    • Widgets
    • Colors and fonts
    • GUI layout
    • Event handling
    • Hands-on: Write Python code to use colors/fonts and create a GUI layout.

13. Basic Data Visualization

    Lesson 13

    • Basic Data Visualization with standard libraries
    • Write Python code to perform basic visualization of the data