PYTHON ONLINE TRAINING

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

Sequences

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

Functions

Defining a function
Function Parameters
Global variables
Variable scope
Returning Values

Sorting

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
STDIO
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