–>Getting Started with Python

Python Overview
About Interpreted Languages
Advantages/Disadvantages of Python pydoc
Starting Python
Interpreter PATH
Using the Interpreter

Running a Python Script
Python Scripts on UNIX/Windows, Editors and IDEs
Using Variables
Built-in Functions
StringsDifferent Literals
Math Operators and Expressions
Writing to the Screen
String Formatting
Command Line Parameters and Flow Control

–>Sequences and File Operations

Indexing and Slicing
Iterating through a Sequence
Functions for all Sequences
Using Enumerate()
Operators and Keywords for Sequences
The xrange() function
List Comprehensions
Generator Expressions
Dictionaries and Sets

–>Deep Dive – Functions Sorting Errors and Exception Handling

Function Parameters
Global Variables
Variable Scope and Returning Values. Sorting
Alternate Keys
Lambda Functions
Sorting Collections of Collections, Dictionaries and 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 Expressionist’s Packages and Object – Oriented Programming in Python

The Sys Module
Interpreter Information
Launching External Programs
path directories and Filenames
Walking Directory Trees
Math Function
Random Numbers
Dates and Times
Zipped Archives
Introduction to Python Classes
Defining Classes
Instance Methods
Class Methods and Data Static Methods
Private Methods and Inheritance
Module Aliases and Regular Expressions

–>Debugging, Databases and Project Skeletons

Dealing with Errors
Using Unit 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

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
Machine Learning application

–>Supervised and Unsupervised learning

Classification Problem
Classifying with k-Nearest Neighbours (kNN)


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
Plotting Data
Creating Functions
Converting Different Formats
Combining Data from Various Formats
Slicing/Dicing Operations.

–>Scikit and Introduction to Hadoop

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 MapReduce Job Run

–>Hadoop and Python

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

–>Python Project Work

School Managment System
Note-Pad Application
Project in Healthcare Domain
Project in Banking Domain
Automation Project using Selenium

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