PYTHON

Python Course Content

Module 1 – Introduction of Python

• Why python
• What you need to get started
• General purpose
• Is python a scripting language?
• Why use python in the RW?
• What can you do with python
• How to install python.

Module 2 – Installation Python/Basic Programming

• Installing python
• Windows Installation
• Linux Installation
• Environment variables
• What is IDE?
• ECLIPSE
• How to download additional Diary.
• Running python program
• Data types
• Object types
• Python core data types
• Strings
• Strings (Methods)

Module 3 – Regular Expressions, Looping, its Packages and Object

Oriented Programming

• Data Types
• Tuples
• How to create notebook in python
• Methods of tuple
• Lists
• Methods
• Dictionary
• Dictionary Methods
• Advance string methods
• String formatting
• Obtaining keyboard input
• Control flow
• The if statement
• Boolean logic
• Break & continue
• The for loop
• The while loop
• Control flow
• What is a function
• Syntax
• Documentation
• Arbitrary of arguments

Module 4 – File Operations and Deep Dive – Functions, Class, DBAPI,

Errors and Exception Handling

• File handling
• File system
• Opening files
• Opening other file types
• Exception handling
• What are exceptions?
• Object Oriented programming (OOP)
• OOP basics
• Defining a class
• Special methods
• Python DB API
• SQLite
• SQLite in python
• Panda quick overview

Module 5 – Introduction to Hadoop and Hadoop with Python

• The state of Data
• Hadoop
• Component of Hadoop
• Why Hadoop is scalable
• Hadoop eco system
• Sqoop
• Ambari
• Zookeeper
• Hadoop Incubator
• Stack Implementation
• Architecture of HDFS & Map reduce
• HDFS feature
• Map reduce Architecture
• Map reduce Internals
• Installation overview of Hadoop

Module 6 – Deep Drive for components and Function

• Python Basics revisited
• List components
• Lamda function
• List
• Dict.
• Numpy
• Matplot lib

Module 7 – Machine Learning Using Python

• Panda
• Introduction of panda
• Key feature of panda
• Importing the panda
• Data structure in Panda
• Importing data
• Read table
• Skip rows
• Machine learning
• Definition
• Machine learning algorithms
• Unsupervised learning
• Real world example of machine learning
• Statistical learning problem

Module 8 – Manage File System/Sandbox

• Sandbox
• How to take remote login of your sandbox
• How to manage HDFS file system
• Maper reducer

Module 9 – Machine Learning with Python

• How to use Scikit-learn
• Shape method
• Get Datahome
• How to do the machine learning
• Spam detection

Module 10 – Server logs/Firewall logs

• Server logs
• Potential uses of server log data
• Pig script
• Firewall logs
• Work flow editor