KITS Online Training Institute  provides best Python Online Training by our highly professional trainers. We are delighted to be one of the best leading IT online training with best experienced IT professionals and skilled resources. We have been offering courses to consultants, companies so that they can meet all the challenges in their respective technologies.We also provide similar courses like SAP SD Online Training

Python is a widely used high-level programming language for general-purpose programming, created by Guido van Rossum and first released in 1991. An interpreted language, Python has a design philosophy which emphasizes code readability (notably using whitespace indentation to delimit code blocks rather than curly braces or keywords), and a syntax which allows programmers to express concepts in fewer lines of code than possible in languages such as C++ or Java. The language provides constructs intended to enable writing clear programs on both a small and large scale.

Highlights of Python Online training:-

*  Very in depth course material with Real Time Scenarios for each topic with its Solutions for Python Online Trainings.

*  We Also provide Case studies  for Python  Online Training.

*  We do Schedule the sessions based upon your comfort by our Highly Qualified Trainers and Real time Experts.

*  We provide you with your recorded session for further Reference.

* We also provide Normal Track, Fast Track and Weekend Batches also for Python  Online Training

* We also provide Cost Effective and Flexible Payment Schemes.

Python Training Course Content

Python Overview

  • What is Python?
  • The Birth of Python
  • Python Timeline
  • About Interpreted Languages
  • Advantages/Disadvantages of Python
  • How to get Python
  • Which version of Python?
  • The of 2.x
  • Getting help
  • Pydoc

The Python Environment

  • Starting Python
  • If the interpreter is not in your PATHs
  • Using the Interpreter
  • Running a Python Script
  • Python Scripts on UNIX/Windows
  • Python Editors and IDEs

Getting Started

  • Using Variables
  • Keywords
  • Built-in Functions
  • Strings
  • Single-quoted string literals
  • Tripe-quoted string literals
  • Raw String literals
  • Unicode literals
  • String operators and expressions
  • Numeric literals
  • Math operators and expressions
  • Converting among types
  • Writing to the screen
  • String formatting
  • Legacy string formatting
  • Command line parameters
  • Reading from the keyboard

Flow Control

  • About Flow Control
  • What’s with the white space?
  • If and elif
  • Conditional Expressions
  • Relational and Boolean Operators
  • while loops
  • Alternate ways to exit a loop


  • About Sequences
  • Lists
  • Tuples
  • Indexing and Slicing
  • Iterating through a sequence
  • Functions for all sequences
  • Operators and keywords for sequences
  • The xrange() function
  • Nest sequences
  • List comprehensions
  • Generator expressions

 Working with Files

  • Text file I/O
  • Opening a text file
  • The with block
  • Reading a text file
  • Writing to a Text File
  • “Binary” (raw or non-delimited) Data

Dictionaries and Sets

  • About Dictionaries
  • When to use dictionaries
  • Creating Dictionaries
  • Getting dictionary values
  • Iterating through a dictionary
  • Reading file data into a dictionary
  • Counting with dictionaries
  • About sets
  • Creating sets
  • Working with sets


  • Defining a function
  • Function Parameters
  • Global variables
  • Variable scope
  • Returning Values


  • The sorted() Function
  • Alternate Keys
  • Lambda Functions
  • Sorting collections of collections
  • Using operator.itemgetter()
  • Sorting dictionaries
  • Reverse in reverse
  • Sorting lists in place

Errors and Exception Handling

  • Syntax Errors
  • Exceptions
  • Handling exceptions with try
  • Handling multiple exceptions
  • Handling generic exceptions
  • Ignoring exceptions
  • Using else
  • Cleaning up with finally
  • The standard exception hierarchy

Using Modules

  • What is a module?
  • The import statement
  • Where did the .pyc file com from?
  • Module search path
  • Zipped Libraries
  • Creating Modules
  • Packages
  • Module Aliases
  • When the batteries aren’t included

Regular Expressions

  • RE syntax overview
  • Regular expression metacharacters
  • RE Objects
  • Searching for patterns
  • Matching without re objects
  • Compilation Flags
  • Grouping
  • Special Groups
  • Replacing text
  • Splitting a string

Using the Standard Library

  • The sys module
  • Interpreter information
  • Launching external programs
  • Paths, directories, and filenames
  • Walking directory trees
  • Grabbing data from the web pages
  • Sending e-Mail
  • Math Functions
  • Random Numbers
  • Dates and Times
  • Zipped Archives

An Introduction to Python Classes

  • About OO programming
  • Defining Classes
  • Initializers
  • Instance methods
  • Properties
  • Class methods and data
  • Static methods
  • Private methods
  • Inheritance
  • Untangling the nomenclature

System Administration

  • The subprocess module
  • subprocess convenience functions
  • Using the sh module
  • Remote access
  • Other useful modules

Distributing Modules

  • Installing Packages
  • Ways to distribute Code
  • Overview of distutils
  • Preparing for distribution
  • Creating a Source Distribution
  • Creating built distributions
  • Py options
  • Py commands

Introduction to Data Analytics

  • Packages useful in Data Analytics
  • Scipy Module
  • Matplotlib Module
  • Numpy Module
  • Introduction to Ab initio
  • Ab initio Architecture
  • Graph Programming
  • Introduction to .dat and .dml files

Partition Components

  • Braod Cast
  • Partition by Expression
  • Partition by range
  • Partition by community
  • Partition by percentage
  • Partition by Round Robin

Departition Components

  • Concatenate
  • Gather
  • Interleave
  • Merge
  • Multifile System (MFS)
  • Types of parallelism (very important in ab initio)
    • Layouts
    • Sort Components
    • Sort
    • Sort with in groups
    • Sample
    • Partition by key and sort

Transform Components

  • Filter by expression
  • Aggregate
  • Scan
  • Rollup
  • Denormalize Sorted
  • Normalize
  • Reformat
  • Match sorted
  • Dedup sorted
  • Working with Databases
    • Database components
    • Run SQL
    • Input Table
    • Output Table
    • Truncate Table
    • Update table

Phase and check Points

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