What are the steps to learn computer programming?
Table of Contents
What are the steps to learn computer programming?
You can enroll in an IT degree program, or start on your own with online courses, exercises, and peer help.
- Step 1: Understand Why You Want To Start Programming.
- Step 2: Decide What Field You Want To Go Into.
- Step 3: Learn a Programming Language (or Three)
- Step 4: Practice, Practice & Practice Some More.
What to study before coding?
What Are 10 Things You Should Know Before Coding?
- #1 Set Up Goals.
- #2 Practice Patience.
- #3 Pay Close Attention to the Basics.
- #4 Practice Coding By Hand.
- #5 Learn By Doing, Not Memorizing.
- #6 Become Your Own Problem-Solver.
- #7 It’s Okay to Ask for Help.
- #8 Make Mistakes, Then Learn from Them.
How can I be the best coder in the world?
8 Ways to Become a Better Coder
- Remind yourself how much you have to learn.
- Stop trying to prove yourself right.
- “The code works” isn’t where you stop; it’s where you start.
- Write it three times.
- Read code.
- Write code, and not just as assignments.
- Work one-on-one with other developers any way you can.
Is the art of computer programming relevant?
Definitely yes. Neither the programming language nor the data types have any influence. The algorithms are the same, except your programking language or your data types are so poor that they prevent you from implementing the alorithm efficiently.
Is Knuth’s book on algorithms worth reading?
Knowing basic algorithms is important, but if you are an engineer or scientist rather than an academic, you are probably better off getting books that are relevant to your work and which are recent. Knuth’s books are timeless, but there are better ways to learn known algorithms.
What do you think about Knuth?
Knuth is very thorough and his rigor cannot be put into question. It is very hard to fault him for anything. But the downside of his approach is that it is rather dry. What he means to do is write a classic.
What makes a program strong and long lasting?
Structure, reusability, adaptability and easy maintenance is what makes programs strong and long lasting, just like a well designed and constructed building. There is a lot of history which Knuth makes interesting by stating which algorithms were remarkable discoveries and which were logical extensions of other algorithms.