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Python Training Syllabus

Table of Contents

1. Module 1: An Introduction to Python
2. Module 2: Beginning Python Basics
3. Module 3: Python Program Flow
4. Module 4: Functions& Modules
5. Module 5: Exceptions Handling
6. Module 6: File Handling
7. Module 7: Classes In Python
8. Module 8: Generators and iterators
9. Module 9: Data Structures
10. Module 10: Collections
11. Module 11: Writing GUIs in Python (Tkinter)
12. Module 12: Python SQL Database Access
13. Module 13: Network Programming
14. Module 14: Date and Time
15. Module 15: Few more topics in-detailed
16. Module 16: Regular Expression
17. Module 17: Threads Essential
18. Module 18: Accessing API Essential
19. Module 19: Django Essential

Module 1: An Introduction to Python

• What can Python do?
• Why Python?
• Good to know
• Python Syntax compared to other programming languages
• Python Install

Module 2: Beginning Python Basics

• The print statement
• Comments
• Python Data Structures & Data Types
• String Operations in Python
• Simple Input & Output
• Simple Output Formatting
• Operators in python

Module 3: Python Program Flow

• Indentation
• The If statement and its’ related statement
• An example with if and it’s related statement
• The while loop
• The for loop
• The range statement
• Break &Continue
• Assert
• Examples for looping

Module 4: Functions& Modules

• Create your own functions
• Functions Parameters
• Variable Arguments
• Scope of a Function
• Function Documentations
• Lambda Functions& map
• n Exercise with functions
• Create a Module
• Standard Modules

Module 5: Exceptions Handling

• Errors
• Exception handling with try
• handling Multiple Exceptions
• Writing your own Exception

Module 6: File Handling

• File handling Modes
• Reading Files
• Writing& Appending to Files
• Handling File Exceptions
• The with statement

Module 7: Classes In Python

• New Style Classes
• Creating Classes
• Instance Methods
• Inheritance
• Polymorphism
• Exception Classes & Custom Exceptions

Module 8: Generators and iterators

• Iterators
• Generators
• The Functions any and all
• With Statement
• Data Compression

Module 9: Data Structures

• List Comprehensions
• Nested List Comprehensions
• Dictionary Comprehensions
• Functions
• Default Parameters
• Variable Arguments
• Specialized Sorts

Module 10: Collections

• namedtuple()
• deque
• ChainMap
• Counter
• OrderedDict
• defaultdict
• UserDict
• UserList
• UserString

Module 11: Writing GUIs in Python (Tkinter)

• Introduction
• Components and Events
• An Example GUI
• The root Component
• Adding a Button
• Entry Widgets
• Text Widgets
• Check buttons

Module 12: Python SQL Database Access

• Introduction
• Installation
• DB Connection
• Creating DB Table
• INSERT, READ, UPDATE, DELETE operations
• COMMIT & ROLLBACK operation
• handling Errors

Module 13:Network Programming

• Introduction
• A Daytime Server
• Clients and Servers
• The Client Program
• The Server Program

Module 14: Date and Time

• sleep
• Program execution time
• more methods on date/time

Module 15: Few more topics in-detailed

• Filter
• Map
• Reduce
• Decorators
• Frozen set
• Collections

Module 16: Regular Expression

• Split
• Working with special characters, date, emails
• Quantifiers
• Match and find all
• character sequence and substitute
• Search method

Module 17: Threads ESSENTIAL

• Class and threads
• Multi-threading
• Synchronization
• Treads Life cycle
• use cases

Module 18: Accessing API ESSENTIAL

• Introduction
• Facebook Messenger
• Openweather

Module 19: DJANGO ESSENTIAL

Python Training Syllabus will Cover all the fundamental and Advanced Topics in Python 3. This Python Course is Mixed with 90% Practical & 10% Theory Classes for 60+ Hours and also covers 3+ Real-time Projects Explanation using Python Classes, Objects, Loops, Exceptions, Multi-threading and API Designs.