Audience: Anybody with interest
What you learn?
You learn Python programming language and data analysis techniques.

Course Contents:

1.Why learn a programming language?

The motivation

Computer hardware architecture

Understanding programming

Why Python?

Interpreter and compiler

Whatâ??s a program?

Writing a program

The building blocks of programs

Debugging?

2.Variables, expressions, and statements

Values and types

Variables

Variable names and keywords

Statements

Operators and operands

Expressions

Order of operations

Modulus operator

String operations

Asking the user for input

Comments

Choosing mnemonic variable names

3.Conditional execution

Boolean expressions

Logical operators

Conditional execution

Alternative execution

Chained conditionals

Nested conditionals

Catching exceptions using try and except

Short-circuit evaluation of logical expressions

4.Functions

Function calls

Built-in functions

Type conversion functions

Random numbers

Math functions

Adding new functions

Definitions and uses

Flow of execution

Parameters and arguments

Fruitful functions and void functions

Why functions?

5.Iteration

Updating variables

The while statement

Infinite loops

â??Infinite loopsâ?? and break

Finishing iterations with continue

Definite loops using for

Loop patterns

Counting and summing loops

Maximum and minimum loops

6.Strings

A string is a sequence

Getting the length of a string using len

Traversal through a string with a loop

String slices

Strings are immutable

Looping and counting

The in operator

String comparison

string methods

Parsing strings

Format operator

7.Files

Persistence

Opening files

Text files and lines

Reading files

Searching through a file

Letting the user choose the file name

Using try, except, and open

Writing files

8. Lists

A list is a sequence

Lists are mutable

Traversing a list

List operations

List slices

List methods

Deleting elements

Lists and functions

Lists and strings

Parsing lines

Objects and values

Aliasing

List arguments

9.Dictionaries

Dictionary as a set of counters

Dictionaries and files

Looping and dictionaries

Advanced text parsing

10.Tuples

Tuples are immutable

Comparing tuples

Tuple assignment

Dictionaries and tuples

Multiple assignment with dictionaries

The most common words

Using tuples as keys in dictionaries

Sequences: strings, lists, and tuples

11.Regular expressions

Character matching in regular expressions

Extracting data using regular expressions

Combining searching and extracting

Escape character

12.Networked programs

HyperText Transport Protocol - HTTP

The Worldâ??s Simplest Web Browser

Retrieving an image over HTTP

Retrieving web pages with urllib

Parsing HTML and scraping the web

Parsing HTML using regular expressions

Parsing HTML using BeautifulSoup

Reading binary �les using urllib

13.Using Web Services

eXtensible Markup Language - XML

Parsing XML

Looping through nodes

JavaScript Object Notation - JSON

Parsing JSON

Application Programming Interfaces

Google geocoding web service

Security and API usage

14.Object-Oriented Programming

Managing Larger Programs

Getting Started

Using Objects

Starting with Programs

Subdividing a Problem - Encapsulation

Our First Python Object

Classes as Types

Object Lifecycle

Many Instances

Inheritance

15.Using databases and SQL

What is a database?

Database concepts

Database Browser for SQLite

Creating a database table

Structured Query Language summary

Spidering Twitter using a database

Basic data modeling

Programming with multiple tables

Constraints in database tables

Retrieve and/or insert a record

Storing the friend relationship

Three kinds of keys

Using JOIN to retrieve data

16.Visualizing data

Building a Google map from geocoded data

Visualizing networks and interconnections

Visualizing mail data