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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Interative in Azure (requires logging in):
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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
andor
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
andelif
- 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
CREDITS
Numerical Computing is Fun is an Eka Foundation project.