Python Syllabus

Modules of Python Training in Delhi

Module 1: Getting started with Python programming

• Introduction to Python
• Python features
• Scope of python
• Python products
• Python in today’s context
• Python Download, Installation and Environment Setup
• First python program execution “Hello World”
• The world of programming
• Python programming syntax

Module 2: Variables, keywords and Operators

• Variables
• Memory mapping of variables
• Application memory
• Variable nomenclature
• Properties and scope of variables
• Keywords in Python
• Operators
• Arithmetic operators
• Operator precedence
• Logical operators
• Membership Operators
• Basics I/O and Type casting
• __builtins__ functions and getting help

Module 3: Control flow statements

• Flow of program control
• Decision making statements: if-elif-else
• For loop
• Making of ‘for’ loop
• Repetition using for loop: range () function
• Iteration using for loop
• While loop
• Making of ‘for’ loop
• Infinite loop
• Loop control keywords: break, continue, and pass

Module 4: Numbers and Functions

• Introduction to functions
• Function definition and return
• Function call and reuse
• Function parameters
• Function recipe and docstring
• Programming with functions
• Namespaces and scope of variable
• Numbers – int, float, long, complex

Module 5: Strings

• Introduction to Python ‘string’ data type
• Properties of a string
• String built-in functions
• Programming with strings
• String formatting

Module 6: Lists

• Introduction to Python ‘string’ data type
• Properties of a list
• List built-in functions
• Programming with lists
• List comprehension

Module 7: Tuples, Dictionary and Sets

• Tuples as Read only lists
• Moving from list to dictionary
• Dictionary built-in functions
• Sets and sets properties
• Set built-in functions

Module 8: More of Python functions

• Recursive functions
• *args, **kwargs, argv
• Modules and Packages
• Iterators and Generators
• Function decorators

Module 9: Object oriented programming with Python

• OOPs concepts: Classes and objects
• Making of a class and module namespace
• Static and instance variables
• Deep understanding of self and __init__()
• Inheritance and Overriding
• Overloading functions
• Operator overloading
• Encapsulation: Hiding attributes
• Abstract Base Class ( abc module)

Module 10: Exception Handling in Python

• Understanding exceptions
• Try, except, else and finally
• Raising exceptions with: raise, assert
• Creating your own exception classes
• Logging and Debugging

Module 11: File handing – Part 1

• Working with files
• File objects and Modes of file operations
• Reading, writing and use of ‘with’ keyword
• read(), readline(), readlines(), seek(), tell() methods
• Handling comma separated value files
• CSV reading and writing with DictWriter

Module 12: File Handling – Part 2

• JSON parsing
• File compression – zipping and unzipping
• Pickling

Module 13: Regular expression

• Pattern matching
• Meta characters for making patterns
• re flags
• Project 1: Pattern matching over files

Module 14: Multithreading

• Introduction
• Starting a new Thread using ‘Thread’ module
• The Threading Module
• Synchronizing Threads

Module-15: Database

• What is Database and MySQLdb?
• Install MySQLdb module
• DB connection and disconnection
• Creating Database Table
• Insert, Update and Delete
• Commit and Rollback
• Handling DB Errors

Module-16: Python Debugging and Automation Framework

• pdb module
• Planning for automation framework
• Developing Automation framework
• Real time planning for automation testing and do automations

Module-17: Usage of standard module and webscrapping

• os,sys, timemodule
• webscrapping
• Socket module
• paramiko module

Module-18: Introduction to Flask

• Introduction to Flask and web development
• First Flask “hello” application
• Developing of REST end point
• Demo