Python for Everybody - Exploring Information

Embark on a comprehensive journey through Python programming, starting with installation and progressing to advanced topics like data visualization. Learn fundamental concepts including variables, conditional execution, functions, and loops. Explore data structures such as strings, lists, dictionaries, and tuples. Dive into file handling, regular expressions, and network programming. Discover web services integration, object-oriented programming principles, and database management. Culminate your learning by mastering data scraping, storage, and visualization techniques. Gain practical skills to manipulate information effectively using Python throughout this extensive exploration.

1: Installing Python

The first task is to work through the installation steps including installing Python and text editor ...

2: Why Program?

We learn why one might want to learn to program, and look at the basic issues with learning to progr ...

3: Variables, expressions, and statements

We learn how to make variables and store data in those variables.

4: Conditional Execution

We look at how Python executes some statements and skips others.

5: Functions

Take a brief look at how Python implements the 'store and use later' programming pattern.

6: Loops and Iterations

We look at how Python repeats statements using looping structures.

7: Strings

We look at how Python stores and mnipulates textual data using string variables and functions.

8: Files

We learn how to open data files on your computer and read throught the files using Python.

9: Lists

We look at Python's simplest data structure - the list. Lists can store more than one item in a var ...

10: Dictionaries

The dictionary data structures allows us to store multiple values in an object and look up the value ...

11: Tuples

The tuple is a Python data structure that is like a simple and efficient list.

12: Regular Expressions

Regular Expressions allow us to search for patterns in strings and extract data from strings using t ...

13: Network Programming

We take a quick look at how data moves acros the network using th HyperText Transport Protocol (HTTP ...

14: Using Web Services

Web services allow a program to access data available in a different server.

15: Object-Oriented Programming

We do a quick look at how Python supports the Object-Oriented programming pattern.

16: Databases

Databases give us very fast random access to large amounts of data.

17: Data Visualization

In this section, we learn to scrape data from the network, store the data in a database and then rea ...