Code Revolution Slides
Computer Science Foundations
Code That Built
The Modern World
From mechanical algorithms and punch cards to personal computing, modern cloud tech, and introductory Python.
History & Milestones
Developer Tools & AI
Python & Math Basics
Origins of Programming
01 / HISTORY
Before Software Existed
Programming began as physical design and mechanical instructions long before screens or memory chips.
1843
Ada Lovelace
Wrote the first machine algorithm for Charles Babbage’s Analytical Engine. She is recognized as the world’s first computer programmer.
Algorithm: Step-by-step instructions to solve a problem.
Early 1900s
Manual Rewiring
Early computers had no saved software. To change tasks, technicians physically re-plugged cables and switched wiring configurations across giant boards.
Programs could not be saved or re-run automatically.
Early computation required rebuilding the hardware configuration for every individual task.
1940s Hardware Revolution
02 / HISTORY
The Punch Card Era
The earliest practical form of software: physical paper cards encoding binary digits.
Holes = Data
Punched holes mapped directly to binary (0s and 1s). Electrical circuits detected presence or absence of holes.
Unit Tabulators
Machines like 1940s tabulators processed millions of cards for major national operations like the U.S. Census Bureau.
Zero Error Tolerance
If one punch card jammed or had a single errant hole, operators had to reload the entire stack from card number one!
Key Takeaway: Punch cards decoupled programming logic from physical wires, forming the proto-version of software.
1950s - 1960s Breakthroughs
03 / INDUSTRY
Human Languages & Unbundled Code
How programming became readable and software became an independent industry.
1954: FORTRAN Still in Use
First High-Level Language
Instead of writing purely in 0s and 1s, developers could use math symbols and readable commands closer to human speech.
High-level languages must be translated back to binary for hardware execution.
1969: IBM Antitrust Case Market Shift
The Software Industry is Born
Previously, software was bundled permanently with hardware. IBM stopped bundling after a U.S. lawsuit, letting customers purchase software independently.
Spawned a multi-billion dollar independent software marketplace.
High-level languages made programs portable, and unbundling made software a product in its own right.
1980s - 1990s Evolution
04 / COMPUTING
Computers Enter the Home
From commercial mainframes to personal desktops with graphical operating systems.
1982
Time's Machine of the Year
The PC was named Time Magazine's "Machine of the Year", marking computers as consumer staples.
1984
Macintosh & System 1
Steve Jobs introduced the first Mac with System 1 OS, which evolved into modern macOS in 1996.
1985 - 1995
MS-DOS to Windows 95
Microsoft launched MS-DOS, then transformed everyday computing with the massive hit Windows 95.
1980s Cost
$50 - $700 / Disc
Individual software titles were sold on floppy disks at high prices, making software ownership an investment.
Operating systems bridge physical hardware and user applications so people can interact visually rather than typing raw code commands.
1990s - 2000s Shift
05 / CONNECTIVITY
The Web & The Cloud Era
Software transitioned from static local storage to distributed global networks.
1990s Web & Apps
Productivity software like MS Office, Photoshop, early web browsers, and instant messengers connected people worldwide.
Smartphone Era
The 2007 iPhone propelled pocket-sized computers into daily life, creating a massive explosion in mobile app development.
Cloud Computing
Hosting software on remote server networks instead of local hard drives, optimizing speed, updates, and accessibility.
Today, applications are continuously updated in the cloud without requiring manual re-installation.
Developer Workflow
06 / TOOLKIT
Core Tools of Modern Developers
Software engineers rely on an integrated ecosystem of software to write, test, and collaborate.
IDEs & Compilers
An IDE provides an editor and execution environment. Compilers and interpreters convert human syntax into binary.
Code Repositories
A digital library where teams "check out" code. Allows hundreds of devs to work concurrently and revert errors instantly.
Visual Modeling
Tools like MATLAB and diagram flowcharts combine math formulas with code to simulate 3D visuals and scientific models.
Version control ensures no single mistake can permanently break a large-scale software system.
Next Frontier
07 / AI IN CODING
How AI Supercharges Developers
Artificial intelligence serves as an intelligent co-pilot rather than a human replacement.
Prompt to Code
Generates boilerplate code, functions, or entire starting prototypes simply by describing requirements in natural language.
Language Translation
Easily translates programs across languages—for example, converting legacy C++ logic into clean modern Python scripts.
Debugging Assistant
Scans blocks of code to highlight syntax bugs, logic discrepancies, and performance bottlenecks, suggesting exact fixes.
Developers still need strong computational thinking to evaluate, verify, and architect what AI generates.
Hands-On Python
08 / GETTING STARTED
Welcome to Python & CodeSkulptor3
Python powers Google, YouTube, Instagram, and Spotify because it is readable yet powerful.
The CodeSkulptor3 Interface
Code Box (Left)
The editor where you write and edit your Python instructions.
Output Box (Right)
Displays the output results and user prompts when executed.
Essential Controls
Run Executes your program
Reset Clears screen or stops code
Save / URL Generates shareable web link
Download (.py) Saves Python file to disk
Important: CodeSkulptor does not auto-save; remember to hit Save and Download periodically!
Code Breakdown
09 / PYTHON SYNTAX
Input, Variables, and Output
A variable stores data in memory like a labeled box you can reuse anytime.
greeter.py
name = input("What is your name?")
print("Hello", name)
print("It's nice to meet you!")
Line 1: Variables & Input
Prompt opens for the user. Whatever they type is stored inside the variable labeled name.
Line 2: Print with Variables
Prints quoted text + variable value. Python requires a comma (,) between text strings and variable names.
Line 3: Static Print
Prints a literal string of text directly to the output console window.
Data types in variables can include: String (text), Integer (whole number), Float (decimals), or Boolean (True/False).
Try It Yourself
10 / CHALLENGE
DIY Challenge: The Food Greeter
Write a short Python program that asks for the user's favorite food and responds.
Program Requirements
-
- Use
input() to ask: "What is your favorite food?"
-
- Store the answer in a variable called
food.
-
- Print: "[food] is my favorite food too!"
Remember: Separate your variable and string with a comma!
Sample Solution
Python Solution Code
food = input("What's your favorite food?")
print(food, "is my favorite food too!")
If user inputs Pizza, output prints: Pizza is my favorite food too!
Once working in CodeSkulptor3, click Save then Download to save your .py script.
Math & Real-World Careers
11 / MATH & PATHWAYS
Python Math & Future Career Pathways
Calculations in Python connect directly to modern computer science career disciplines.
Basic Python Math Operators
print(8 + 9) Output: 17
print(22 - 13) Output: 9
print(14 * 6) Output: 84
print(35 / 8) Output: 4.375
Notice no quotation marks around numbers or operations when performing mathematical arithmetic!
Where Math Meets Code
- Game Development & 3D Graphics: Geometry and physics simulations.
- Artificial Intelligence & Search: Linear algebra and statistical models.
- Consumer Data Analytics: Statistical forecasting for global brands.
Every line of code you write builds toward understanding the digital systems shaping tomorrow. Keep coding!
Code Revolution Guided Notes
Computer Science Foundations
Code Revolution: Guided Notes
Name:
Date: Period:
1. Origins: Before Software Existed
1. In 1843, wrote an algorithm for Charles Babbage’s Analytical Engine and is recognized as the world's first programmer.
• Algorithm: A set of instructions used to solve a problem.
2. In the early 1900s, computers had to be manually every time a new program was run. There was no way to save software to run again.
2. The Punch Card Era (1940s)
1. Computers in the 1940s used punch cards with holes representing code (0s and 1s).
2. The machine used to process punch cards for the 1940 Census Bureau was called a tabulator.
3. The Major Drawback: If a mistake was made, the entire deck of punch cards had to be .
3. High-Level Languages & Unbundling
1. In 1954, the first high-level language, called , was created (and is still in use today).
• High-level language means code is written closer to language rather than machine code (0s and 1s).
2. In 1969, the U.S. government sued for bundling hardware and software together.
3. When bundling stopped, the multi-billion-dollar software industry was officially born.
4. Personal Computers & Operating Systems (1960s – 1990s)
1. An early major operating system developed in the 1960s was known as .
2. In 1982, Time Magazine named the as its "Man / Machine of the Year."
3. In the 1980s, a single piece of software cost between $ and $ each.
4. In 1984, Steve Jobs introduced the first computer running System 1, rebranded as macOS in 1996.
5. Microsoft released in 1985, followed by the breakthrough consumer OS in 1995.
Unit 1: The Evolution of Computing & Code Page 1 of 2
Modern Tools, Artificial Intelligence & Python Coding
Code Revolution Guided Notes (Continued)
5. Internet, Cloud & Mobile
1. Cloud Computing is the practice of using remote network servers to host software on the rather than locally on a PC.
2. Smartphones exploded in consumer adoption during the 2000s, especially after Apple launched the in 2007.
6. Programming Tech & AI Integration
1. IDE stands for . It provides an editor to write code and a way to run it.
2. High-level code is translated to binary (0s & 1s) using or compilers.
3. A Code Repository acts like a digital library allowing multiple programmers to "check out" and "check in" code, and changes if an error occurs.
