I’ve been doing a lot of reading about “type-in programs”.
There are a lot of old-timer programmers recounting their enjoyment of typing in programs from magazines and books in the 1980s and 1990s.
Some highlights I enjoyed reading:
- Did type-in-programs or type-in-listings teach programming in the 70s and 80s or was it just tedious typing of the source code?
- Is there any hard data about type-in programs in the 80s?
- Anyone else here get started by typing in BASIC programs from Enter Magazine back in the early 80’s?
- Easy type-in software for a BASIC demonstration
- And on…
Great stuff.
Generally, it seems if you type in code listings slowly and manually (not copy-paste programming), you can’t help but learn something useful.
For example:
- The listings are often more challenging/complex than an exercise one would write themselves (being pushed)
- You have to read and transcribe (forced to read)
- You look up syntax or functions or API calls in understand what they are doing (follow curiosity).
- You have to debug/fix the code because you almost always make errors (more careful reading)
- You use a text editor instead of an IDE (every character is typed, no auto-complete)
- You modify the example to do new/different things (forced to understand the example more deeply)
- You re-type the whole example from scratch because it still doesn’t work (forced careful re-read)
It’s “the hard way”, and that’s why it is effective.
Some benefits from gpt4o:
- Muscle Memory & Syntax Familiarity – Reinforces correct syntax and structure by physically typing out code, making it easier to recall later.
- Attention to Detail – Helps develop a keen eye for syntax errors, missing semicolons, or incorrect indentation, improving debugging skills.
- Understanding Code Flow – By manually entering code, you actively follow the logic, making it easier to grasp how different parts interact.
- Debugging Practice – Typing code often results in mistakes, providing a valuable opportunity to debug and understand how errors occur.
- Exposure to Real-World Code – Allows you to see how experienced programmers structure and write functional programs, exposing you to best practices.
- Pattern Recognition & Problem Solving – Repeating common structures (loops, conditionals, functions) helps recognize patterns and solutions faster in new coding challenges.
- Building Patience & Persistence – Encourages discipline and problem-solving when debugging or modifying code to get it working.
- Creativity & Experimentation – Once you’ve typed in the original code, you can tweak and modify it to test new ideas and reinforce learning.
- Retaining Concepts Better – Compared to passive reading, actively typing out code strengthens memory retention of programming concepts.
- Historical Insight & Appreciation – Especially with older books or magazines, typing in classic programs offers a sense of programming history and evolution over time.
Great!
I don’t think this is appreciated fully by newer youtube and stackoverflow “programmers”.