As much as this series is to educate aspiring computer programmers and data scientists of all ages and all backgrounds, it is also a reminder to myself. After playing with computers and numbers for nearly 4 decades, I've also made this to keep in mind how to have fun with computers and maths.

Using Jupyter notebooks as an interactive learning medium, this series provides an introduction to:

• Computer Science
• Python programming language
• Numerical computing
• Numbers theory
• Prime numbers
• Data visualization
• Deep learning

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Part 1 : Introduction

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What you will learn:

• print is the command to print something on the screen
• Math operations are very easy to perform in Python
• Python deals with numbers based on data types
• In Python there are two numerical data types; int and float
• Functions are powerful tools to easily perform various operations
• Functions may accept arguments (parameters) as input
• Functions are computer processes, and arguments are what is being processed
• It's very easy to create your own functions

Part 2 : Prime Numbers

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What you will learn:

• Prime numbers relate with divisibility
• Divisibility means that when one number is divided by other, the product is not a whole number
• A prime number is any number that is divisible only by itself and 1
• Binary means 0 and 1
• Boolean logic is the binary language of computers
• Python gives us an easy to use way to instruct computers
• Boolean logic statements involve is, is not, and and or statements
• Boolean statements can be joined together
• Boolean statements always return either True or False as output
• It's easy to perform computing operations with small numbers
• The biggest prime number is a really big number
• Very big numbers require vast networks of computers joined together

Part 3 : Algorithms Overview

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What you will learn:

• Algoritms are like insides of factories
• Algoritms process inputs to produce outputs
• Conditional statements are a tool for putting boolean logic in to action
• Conditional statements are part of "flow control"
• Flow controls give us the ability to create rules for computer programs
• The three conditional statements in Python are if, else and elif
• Even just if alone can be used to create a conditional statement

Part 4: Automation Overview

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What you will learn:

• Generally speaking computer programs are focused on process automation
• Loops are a highly effective method for automation
• With small changes to our code, we can make big improvements in capability
• Sometimes we can get more done with less code!
• It's very convinient to store values in to memory
• Computer memory is nothing like human memory, and also not like a safe deposit box
• Any value can be stored in to memory
• Numbers can be automatically generated with range function
• It's meaningful to learn new concepts by gradually improving things

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CREDITS

Numerical Computing is Fun is an Eka Foundation project.