What is PYTHON ?

Python is an interpreted, object-oriented, high-level programming language with dynamic semantics. Its high-level built in data structures, combined with dynamic typing and dynamic binding, make it very attractive for Rapid Application Development, as well as for use as a scripting or glue language to connect existing components together. Python’s simple, easy to learn syntax emphasizes readability and therefore reduces the cost of program maintenance. Python supports modules and packages, which encourages program modularity and code reuse. The Python interpreter and the extensive standard library are available in source or binary form without charge for all major platforms, and can be freely distributed.

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Why Python become more popular ?
Python programming language has become more popular across the globe just because of the features it provides .
Python Supports Multiple Programming Paradigms
Python has very wide ranged standard libraries and tools that strenthens the overall functionality of python language which helps python programmers to easily write codes
Python is developed For Better Code Readability .
Compared to other programming languages, Python provides a much prominent code readability.
Python Has Large Set Of Library and Tools
Python has Very Large set of standard libraries and tools that enhance the overall functionality of python language and also helps python programmers to easily write codes .
future technologies that are relying on python
As many knows phyton is used for web , application , Game development, system administration, etc. But phyton has become core language for future technologies.
Artificial Intelligence
Python Become core language for technologies like Artificial Intelligence , Machine Learning, Neural Networks when compared to Other Languages .
Big Data or Data Analysis
The future scope of python helped big data technology to Expand and the successful contribution in analysing the huge amount of data sets .
Python is used in networking to read, write and configure routers and switches and other networking automation tasks in effective and secure manner.
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  • Python Overview
  • Features of Python
  • Python Environmet Setup
  • How to use the Interpreter
  • Introduction to Eclipse & PyCharm

Code execution and syntax

  • How Interpretation works
  • Executing Python commands from command line
  • Know about .pyc, .pyo files
  • Python syntax
  • Comments in python
  • About indentation

Python Basics

  • Python Data Types – int, float, decimal
  • Python Strings
  • Operators
  • Arithmetic
  • Relational
  • Logical
  • Assignment
  • Bitwise

Control Flows

  • Conditionals
    • If
    • If-else
    • If-elif
  • Looping Statements
    • While
    • For
    • Break and Continue
    • pass

Data Structures

  • Tuple
  • List
  • List comprehension
  • Dictionaries
  • Collections
    •  Set()
    • Dict()
    • Defaultdict()

Python Built in functions

  • Range() and xrange()
  • Int()
  • Float()
  • Str()
  • Id()
  • Type()
  • None
  • Len()
  • Dir()
  • __str__()
  • __name__
  • Some other functions

Standard libraries

  • OS
  • SYS
  • CSV
  • Datetime
  • Time
  • Some other standard libraries during examples


  • Defining functions
  • Function calling
  • Positional arguments
  • Keyword arguments
  • Default arguments
  • Return statement in functions
  • Call-by-value
  • Call-by-reference

Iterators and Generators

File operations

  • Reading a file
  • Writing a file
  • Different modes in file operations

Modules and Namespaces

  • Import statements
  • Multiple ways of importing
  • Python project directory structure
  • Packages
  • py significance
  • Locals() and globals()

Errors & Exceptions

  • Try – except
  • Finally
  • About custom exceptions

Functional programming

  • Lamda expressions
  • Map()
  • Reduce()

Object Oriented Python Programming

  • Introduction to OOP’s concepts
  • Polymorphism
  • Inheritance
  • Encapsulation
  • Abstraction
  • Method overloading
  • Method overriding
  • Class methods

Python Classes

  • Naming classes in python – rules & pep guidelines
  • Constructors – __init__
  • Writing classes & syntax
  • Class variables
  • Instance Variables
  • Multiple inheritance
  • Python Objects
  • More examples

Data Analysis

  • Understanding what is Data Analysis
  • Numpy
  • Pandas
  • Matplotlib


  • Pickle
  • Unpickle
JOB Oriented Training

  • Interview questions
  • Interview tips
  • Resume preparation tips
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