Advanced Python Course

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.

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

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

Learning Objective:

Case Study to explore Python Programming.

Topics Covered:

• Case Study : Python Programming

Hands-on:

Real-life Case Study that explores Python.