Python Training

Python Training helps build the applications and usage of python for data analytics. It lets you work quickly and integrate systems more effectively. Its design philosophy emphasizes code readability, and its syntax allows programmers to express concepts in fewer lines of code.

 

Python Training Curriculum

Introduction to Python

In this module, you’ll learn 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 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 kinds 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 this module, you will know the

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

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 data 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.

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