Python Training Course Curriculum

Module 1: Introduction to Python and Setup

Overview of Programming Languages
Why Python is quite popular?
Overview of Python
Command Line Basics
Installing Python and other tools
Run Hello World in Python

Module 2: Python Basics

Introduction to Python Data Types
Python Numbers
Numbers: Simple Arithmetic
Variable Assignments
Introduction to Strings
Quick Print Check
Indexing and Slicing with Strings
String Indexing, Slicing
String Properties and Methods
Print Formatting with Strings
Booleans in Python

Module 3: Python Control Flow Statements

Comparison Operators in Python
If Elif and Else Statements in Python
For Loops in Python
While Loops in Python
range() function
break and continue Statements, and else Clauses on Loops
pass Statements
match Statements

Module 4: Functional Programming in Python

Methods and the Python Documentation
Introduction to Functions
Types of functions
Function Arguments
Anonymous functions
Special functions (map, reduce, filter)
Default Argument Values
Keyword Arguments
Special parameters
Positional-or-Keyword Arguments
Function Examples
Arbitrary Argument Lists
Unpacking Argument Lists
Lambda Expressions
Documentation Strings

Module 5: Collections in Python

Lists
Using Lists as Stacks
Using Lists as Queues
List Comprehensions
Nested List Comprehensions
The del statement
Tuples and Sequences
Sets
Dictionaries
Looping Techniques
More on Conditions
Comparing Sequences and Other Types

Module 6: Python Modules and Packages

Modules
Executing modules as scripts
The Module Search Path
Compiled Python files
Standard Modules
The dir() Function
Packages
Importing * From a Package
Intra-package References
Packages in Multiple Directories

Module 7: Files and Input/Output in Python

File Read Operations
File Write Operations
Methods of File Objects
Handling image, excel, txt and csv files
Saving structured data with json

Module 8: Errors and Exceptions Handling

Errors and Exceptions
Syntax Errors
Exceptions
Handling Exceptions
Raising Exceptions
Exception Chaining
User-defined Exceptions
Defining Clean-up Actions
Predefined Clean-up Actions
Raising and Handling Multiple Unrelated Exceptions
Enriching Exceptions with Notes

Module 9: Object Oriented Programming in Python

Introduction to Object Oriented Programming
Attributes and Class Keyword
Class Object Attributes and Methods
Inheritance and Polymorphism
Instance & Method Objects
Special Methods - Magic/Dunder

Module 10: Python Decorators & Generators

Decorators
Generators

Module 11: Advanced Python Modules

Introduction to Advanced Python Modules
Python Collections Module
Opening and Reading Files and Folders (Python OS Module)
Python Datetime Module
Python Math and Random Modules
Python Debugger
Python Regular Expressions Part One
Python Regular Expressions Part Two
Python Regular Expressions Part Three
Timing Your Python Code
Zipping and Unzipping files with Python

Module 12: Web Scraping with Python

Introduction to Web Scraping
Setting Up Web Scraping Libraries
Grabbing a Title
Grabbing a Class
Grabbing an Image

Module 13: Emails with Python

Introduction to Emails with Python
Sending Emails with Python
Receiving Emails with Python

Module 14: Standard Libraries – Part I

Operating System Interface
File Wildcards
Command Line Arguments
Error Output Redirection and Program Termination
String Pattern Matching
Mathematics
Internet Access
Dates and Times
Data Compression

Module 15: Standard Libraries – Part II

Performance Measurement
Quality Control
Output Formatting
Templating
Working with Binary Data Record Layouts
Multi-threading
Logging
Decimal Floating-Point Arithmetic
Weak References

Module 16: Virtual Environments and Packages using Flask

Introduction to Virtual Environments and Packages
Creating Virtual Environments
Working with venv
Installing Flask and Creating a Flask app
HTTP GET and POST Request Methods in Flask
Flask Folder Hierarchy
Managing Packages with pip

Module 17: Version Control Using GitHub

Creating a Repository
Files State
Commit and undo Commit
File Removing and Merging
Git Remove, PULL, PUSH, CLONE

Module 18: Data Science Libraries with Python

Numpy
Seaborn
Pandas
Matplotlib
Jupyter Notebook

Module 19: Database Programming in Python – Part I

Basics of database management
Python MySql
Create database
Create, Drop a table
Insert into table

Module 20: Database Programming in Python – Part II

Select query, Where clause and OrderBy clause, Limit clause
Update, Delete query
Join and Self-Join
MongoDB (Unstructured)
Insert_one, Insert_many, Update_one, Update_many, Create_index , Drop_index
Delete and drop collections
Limit query

********************** Python Real Time Project Examples **********************

Module 21: Real Time Project Example 1, 2

Introduction to Realtime Project Examples 1, 2
Build Examples 1, 2 for Realtime scenarios
Test the Examples and debug the if required

Module 22: Real Time Project Example 3, 4

Introduction to Realtime Project Examples 3, 4
Build Examples 3, 4 for Realtime scenarios
Test the Examples and debug the if required

Module 23: Real Time Project Example 5, 6

Introduction to Realtime Project Examples 5, 6
Build Examples 5, 6 for Realtime scenarios
Test the Examples and debug the if required

Module 24: Real Time Project Example 7, 8

Introduction to Realtime Project Examples 7, 8
Build Examples 7, 8 for Realtime scenarios
Test the Examples and debug the if required

Module 25: Real Time Project Example 9, 10

Introduction to Realtime Project Examples 9, 10
Build Examples 9, 10 for Realtime scenarios
Test the Examples and debug the if required

Module 26: Real Time Project Example 11, 12

Introduction to Realtime Project Examples 11, 12
Build Examples 11, 12 for Realtime scenarios
Test the Examples and debug the if required

Module 27: Real Time Project Example 13, 14

Introduction to Realtime Project Examples 13, 14
Build Examples 13, 14 for Realtime scenarios
Test the Examples and debug the if required

Module 28: Real Time Project Example 15 + Course Revision

Introduction to Realtime Project Example 15
Build Example 15 for Realtime scenario
Course Revision

Module 29: Python Certification Exam Prep

Explain various Python Certification Options
Discuss 50+ Important Python Certification Questions
Practice Python Certification questions

Module 30: Resume Preparation, Interview and Job Assistance

Prepare Crisp Resume as Python Developer
Discuss common interview questions in Python
Explain students what jobs they should target and how