• Anyone having basic logical and analytical skills in any programming language.

• Basic programming knowledge.

Course Outline:

Environment setup

• Anaconda 3
• Ipython Notebook

1. Introduction to Python Training

• Useful Python Resources
• Python Tools and Utilities
• Python Features

2. Python Environment

• Local Environment Setup
• Downloads and Installations
• Setting up Environment Path

3. Executing Python

• Interactive Mode
• Scripting Mode
• Integrated Development Environment

4. Python Basic Syntax

• Python Identifiers
• Reserved Words
• Lines and Indentation

5. Python Variable Types

• Assigning Values to Variables
• Multiple Assignment
• Standard Data Types
• Data Type Conversion

6. Python Basic Operators

• Arithmetic Operators
• Comparison Operators
• Assignment Operators
• Bitwise Operators
• Logical Operators
• Membership Operators
• Identity Operators
• Operators Precedence

7. Python Decision Making

• IF statements
• ..ELIF…ELSE Statements
• Nested IF statements

8. Python Loops

• While loop
• For loop
• Nested loop
• Break control statement
• Continue statement
• Pass statement

9. Python Numbers

• Number type conversion
• Mathematical function
• Random number function
• Trigonometric function

10. Python Strings

• String special operators
• String formatting operator
• Built in string methods

11. Python Lists

• Basic list operations
• Indexing and slicing
• Built in functions and methods

12. Python Tuples

• Basic tuple operations
• Indexing and slicing
• Built in functions

13. Python Dictionary

• Basic Dictionary operations
• Built in Functions and Methods
• Use cases

14. Python Functions

• Pass by reference and value
• Function Arguments
• Scope of variables
• Default Argument Values
• Keyword Arguments
• Arbitrary Argument Lists
• Unpacking Argument Lists
• Lambda Expressions
• Documentation Strings

15. Python Modules

• Importing Modules
• Namespaces and scoping
• Packages

16. Python Files I/O

• Writing and Reading Binary Data
• Writing and Parsing Text Files
• Parsing Text Using Regular Expressions
• Writing and Parsing XML Files
• Writing and Parsing JSON Files
• Element Trees
• DOM (Document Object Model)

17. Python Exceptions

• The except clause with multiple exceptions
• The try-finally clause
• Argument of an Exception
• Raising an exceptions
• User-Defined Exceptions

18. Python Classes and Objects

• Creating Classes
• Creating instance objects
• Destroying Objects (Garbage Collection)
• Custom Classes
• Attributes and Methods
• Inheritance and Polymorphism
• Using Properties to Control Attribute Access

19. Functional Programming

• Lambda
• Filter
• Map
• Functools

20. Iterators and Generators

• Itertools
• Generators
• Decorators

21. Collections

• Deque
• Counter
• OrderedDict
• ChainMap

22. Essential  packages

• os
• sys
• Shutil
• psutil
• subprocess

23. Debugging, Testing

• Pdb
• breakpoints

24. Networking

• Creating a TCP Client
• Creating a TCP Server

25. Database Access

• Sqlite databases
• MySQL databases

26. Web Scraping using Beautiful Soup

• Requests – get,post
• BeautifulSoup – findall,find,findparent

27. Regular Expressions

• Characters and Character Classes
• Quantifiers
• Grouping and Capturing
• Assertions and Flags
• The Regular Expression Module

28. Deploying Python Applications

• Pip
• Virtualenv
• Relocatable virtual environments
• The init.py files
• The setup.py file
• Installing the package
• Software deployment in Python

Doubt Clearing / Queries session

Training material provided:

Yes (Digital format)