Advanced Python Course with Certification

Curriculum

1 Basics of Python
Learning Objective:
Learn how to install Python distribution - Anaconda. Also learn basic data types, strings & regular expressions.

Topics Covered:

• Install Anaconda
• Data Types & Variables
• String & Regular Expressions

Hands-on:
Install Anaconda

2 Built-in Data Structures
Learning Objective:
Learn about various data structures that are used in Python.

Topics Covered:

• Arrays
• Lists
• Tuples
• Dictionaries
• Sets 

Hands-on:
Write Python Code to understand and implement Python Data Structures.

3 Statements and Syntax
Learning Objective:
Learn all about loops and control statements in Python.

Topics Covered:

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

Hands-on:
Write Python Code to implement loop and control structures

4 Functions Definitions
Learning Objective:
Write user-defined functions in Python. Learn about Lambda function.

Topics Covered:

• Writing your own functions (UDF)
• Calling Python Functions         
• Functions with Arguments               
• Calling Python Functions by passing Arguments
• Lambda Functions

Hands-on:
Write Python Code to create your own custom functions without or with arguments. Know how to call them by passing arguments wherever required.

5 User Inputs and Outputs
Learning Objective:
Learn to use User inputs in Python. Use CMD or terminal to create command line applications.

Topics Covered:

• 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

Hands-on:
Write Python Code to use User Inputs to make it more flexible.

6 Modules and Packages
Learning Objective:
Explore the two mechanisms that facilitate modular programming, Python modules and Python packages.

Topics Covered:

• 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
Learning Objective:
Learn about metaclasses and the use of decorators.

Topics Covered:

• 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
Learning Objective:
Learn the concept of OOPs in Python which focuses on creating reusable code. This concept is also known as DRY (Don't Repeat Yourself).

Topics Covered:

• Methods
• Inheritance
• Encapsulation
• Polymorphism

Hands-on:
Write Python code to construct a class and define objects.

9 Basics of Classes and Objects
Learning Objective:
Learn the object oriented way of writing classes & objects.

Topics Covered:

• 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 Advanced Class Design
Learning Objective:
Learn to choose between inheritance and extension. Also, learn to deal with ordered collection.

Topics Covered:

• 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.

11 Input/Output, Physical Format, and Logical Layout
Learning Objective:
Learn to read various file formats in Python.

Topics Covered:

• 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.

12 GUI Programming
Learning  Objective:
Learn to use graphical user interface programming and implement graphical icons and visual indicators. Create eye catching GUI with Python.

Topics Covered:

• Overview
• 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
Learning Objective:
Learn basic data visualization techniques to build charts using Python

Topics Covered:

• Basic Data Visualization with standard libraries

Hands-on:
Write Python code to perform basic visualization of the data.

14 Case Study
Learning Objective:
Case Study to explore Python Programming.

Topics Covered:

• Case Study : Python Programming

Hands-on:
Real-life Case Study that explores Python.