Python Training

What is Python

Python is associated understood, object-oriented, high-level programming language with dynamic linguistics. It’s high-level inbuilt knowledge structures, combined with dynamic typewriting and dynamic binding; build it terribly enticing for fast Application Development, likewise as to be used as a scripting or glue language to attach existing elements along. Python is easy, simple to find out syntactical readability and thus reduces the time of development. Python uses modules and packages, which increase program modularity and code utilize. The Python interpreter and therefore the in depth commonplace library are on the market in supply or binary kind for free of charge for all major platforms and may be freely distributed.

Best Python Training with Real-time Project

Python is a widely used general-purpose, high-level programming language. Python supports multiple programming paradigms, including object-oriented, imperative and functional programming or procedural styles. It features a dynamic type system and automatic memory management and has a large and comprehensive standard library.

Audience: Application programmers, automation engineer, testers, system administrators,
web-crawlers and UNIX/NT power users.
Prerequisites: Basic of UNIX or Windows.

Who can learn Python?

  • Automation Engineers
  • Data analysts and scientist
  • Web Developers
  • Networking Professionals
  • Software Developers
  • Hadoop programmers
  • Desktop Applications
  • Robotics Engineers
  • Hardware level developers

Python Syllabus


What is Python..?
A Brief history of Python
Why Should I learn Python..?
Installing Python
How to execute Python program
Write your first program

Variables & Data Types

Lists ,Tuples & Dictionary

Conditional Statements & Loops

if…else statement
The while…Loop
The for….Loop


Define function
Calling a function
Function arguments
Built-in functions

Modules & Packages

How to import a module…?
How to create packages

Classes & Objects

Introduction about classes & objects
Creating a class & object
Methods Overriding
Data hiding

Files & Exception Handling

Writing data to a file
Reading data from a file
Read and Write data from csv file
os module

Getting started with Python Libraries

what is data analysis ?
why python for data analysis ?
Essential Python Libraries
Installation and setup
Jupyter Notebook


Command Line
argparse module

NumPy Arrays

Creating multidimensional array
NumPy-Data types
Array attributes
Indexing and Slicing
Creating array views and copies
Manipulating array shapes
I/O with NumPy

Working with Pandas

Installing pandas
Pandas dataframes
Pandas Series
Data aggregation with Pandas DataFrames
Concatenating and appending DataFrames

Please rate this