Wednesday 23 November 2016

Python Online Training

PYTHON ONLINE TRAINING @ VIVANTA IT LABS
An online course designed to make you an expert in using python and learn all that is required to build the applications and using python for data analytics.
Python is open source HIGH-LEVEL PROGRAMMING LANGUAGE which provides constructs intended to enable clear programs. It support multiple programming paradigms like object-oriented and functional programming and features a dynamic type system and automatic memory management.
 Python acts as a shell which is highly extensible and implementations can function as a command line interpreter. 
It is used by data scientists for building and using machine learning applications and also used by youtube ad dropbox. Learn python to help students gain expertise in machine learning and master the concepts of python.
PYTHON ONLINE TRAINING OVERVIEW
Get a comprehensive, in-depth introduction and learning to the core PYTHON LANGUAGE with Vivanta IT Labs Python Online Training. This Python Course will help you quickly write efficient, high-quality code with Python. It’s an ideal way to begin, whether you’re new to programming or a professional developer versed in other languages.
Participants in our course also learn some advanced language features that recently have become more common in Python code.
  • Explore Python’s major built-in object types such as numbers, lists, and dictionaries
  • Create and process objects with Python statements, and learn Python’s general syntax model
  • Use functions to avoid code redundancy and package code for reuse
  • Organize statements, functions, and other tools into larger components with modules
  • Python’s object-oriented programming tool for structuring code
  • Write large programs with Python’s exception-handling model and development tools
  • Learn advanced Python tools, including decorators, descriptors, meta classes, and Unicode processing
Our Python course covers, the fundamental concepts to advanced topics like writing scripts, sequence and file operations, Web Scraping, Map Reduce and Python UDF for Pig and Hive.
Finally, you’ll be guided through a hands-on project that requires the application of all the topics covered in Python online Training.

PYTHON TRAINING CURRICULUM

 Introduction to Python

In this module you’ll know about Python course, its advantages/ disadvantages. The use of Interpreter and Interpreter PATH,How to Python Script in Windows and Unix?,Different Editors and the use of variables and keywords.
Overview of Python
Advantages/Disadvantages of Python
pydoc.Starting Python
Interpreter PATH
Using the Interpreter
Running a Python Script
Python Scripts on UNIX/Windows
Python Editors and IDES
Using Variables, Keywords, Built-in Functions, Strings, Different Literals, Math Operators and Expressions
Writing to the Screen
String Formatting
Command Line Parameters and Flow Control.

Sequences and File Operations

This module of our Python training gives you a list of Sequences and their functions, File operations that follow using Enumerate(), x range function and also the generator Expressions.
Lists, Tuples, Indexing and Slicing
Iterating through a Sequence
Functions for all Sequences
Using Enumerate()
Operators and Keywords for Sequences
The x range ()function
List Comprehensions
Generator Expressions
Dictionaries and Sets.

Deep Dive into Python Course 

In this module of python online course, you will learn python related overview of Functions,Variables, Different kinds of Sorting’s and Exception Handling.
Functions and Function Parameters
Global Variables
Variable Scope and Returning Values
Sorting, Alternate Keys
Lambda Functions
Sorting Collections of Collections
Sorting Dictionaries
Sorting Lists in Place
Errors and Exception Handling
Handling Multiple Exceptions
The Standard Exception Hierarchy
Using Modules
The Import Statement
Module Search Path
Package Installation Ways

 Regular Expressions, Packages and Object Oriented Programming in Python

This module helps you to know about Object Oriented Programming, its packages,different kind of methods and also on the Regular Expressions.
The Sys Module
Interpreter Information
STuDIO
Launching External Programs
Paths
Directories and Filenames
Walking Directory Trees
Math Function
Random Numbers
Dates and Times
Zipped Archives
Introduction to Python Classes
Defining Classes
Initializers
Instance Methods
Properties
Class Methods and Data
Static Methods,
Private Methods and Inheritance
Module Aliases and Regular Expressions

 Debugging, Databases and Project Skeletons in Python Programming

While you learn python course, know the Debugging level, How to create a Skeleton? Creating a Database with SQlite3 also the CRUD operations follows, Dealing with Errors and how to test?
Debugging
Dealing with Errors
Using Tests
Project Skeleton
Required Packages
Creating the Skeleton
Project Directory
Final Directory Structure
Testing your Setup
Using the Skeleton
Creating a Database with SQLite 3
CRUD Operations
Creating a Database Object.

Machine Learning Using Python – I

In this module, train over Machine Learning, Why python is used? NumPy, Scipy, How to use plotting using Matplotlib.
Introduction to Machine Learning
Areas of Implementation of Machine Learning
Why Python
Major Classes of Learning Algorithms
Supervised vs Unsupervised Learning
Learning NumPy
Learning Scipy
Basic plotting using Matplotlib
We’ll also build a small Machine Learning application and discuss the different steps involved while building an application.

 Machine Learning Using Python – II

In this module learn how to create data Frames, Clustering with k-means in python, Plotting data, Pandas, Creation of Functions.
Classification Problem
Classifying with k-Nearest Neighbours (kNN) Algorithm
General Approach to kNN
Building the Classifier from Scratch
Testing the Classifier
Measuring the Performance of the Classifier
Clustering Problem
What is K-Means Clustering
Clustering with k-Means in Python and an Application Example
Introduction to Pandas
Creating Data Frames
Grouping
Sorting
Plotting Data
Creating Functions
Converting Different Formats
Combining ata from Various Formats
Slicing/Dicing Operations.

 Python training inclusive of Scikit and Introduction to Hadoop

This module covers the Scikit introduction, popularity of Hadoop, MapReduce Framework and the Fuctional Programming.
Introduction to Scikit-Learn
Inbuilt Algorithms for Use
What is Hadoop and why it is popular
Distributed Computation and Functional Programming
Understanding MapReduce Framework
Sample Map Reduce Job Run.

 Hadoop and Python

This module of Python course covers the concepts like Map Reduce Jobs, PIG UDF, Hadoop and much more.
PIG and HIVE Basics
Streaming Feature in Hadoop
Map Reduce Job Run using Python
Writing a PIG UDF in Python
Writing a HIVE UDF in Python
Pydoop and MRjob Basics.

 Web Scraping in Python and Project Work

The conclusive module of python training gives an overview of Web Scraping and a taste of real world project.
Web Scraping
Introduction to Beautiful soup Package
How to Scrape Webpages
A real world project showing scrapping data from Google finance and IMDB

FEEL FREE TO CONTACT US

Your feedback is valuable to us. Please send us your suggestions.

USA OFFICE

INDIA OFFICE

Posted by at No comments:
Subscribe to: Posts (Atom)