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12. Introduction to computer science. An introduction to computer science thinking and the art of programming. Topics: Solve problems through algorithms. Programming languages: C, Pbython, SQL, JavaScript, CSS, HTML and more. URL: edx.org/learn/computer…
I would say if you want to solve a real problem, having a figure-it-out-as-you-go mentality is very important. Coding does help, but understanding the problem and what the solution might be will take several iterations. Keep trying things, fail, and iterate until you have…
Aprende Algoritmos de Programación con este recurso Con el código, ejecución paso a paso y de forma visual. +70 algoritmos de JavaScript, Java y C++ → algorithm-visualizer.org
How to Think Like a Programmer Programming isn’t just about writing code; it’s about solving problems. Here’s how to develop a programmer’s mindset: 1. Break big problems into smaller, manageable parts. 2. Focus on logic before syntax. 3. Use pen and paper, not just the IDE.…
Aprende Algoritmos de Programación con este recurso Con el código, ejecución paso a paso y de forma visual. +70 algoritmos de JavaScript, Java y C++ → algorithm-visualizer.org
👩💻 Practice these 150+ Algorithms in ❍ C++ ❍ Java ❍ Python ❍ JavaScript Or, any language of your choice Stay in top 5% of programmers.
10 Good Coding Practices 1. Follow code specifications (e.g., "PEP 8", "Google Java Style") for consistent and readable code. 2. Document and comment code clearly and concisely, focusing on "Why" rather than "What". 3. Write robust code that handles unexpected situations and…
Dynamic programming is an approach that breaks down problems into smaller sub-problems. It's a helpful skill for solving min change, max path sum, and other coding interview questions. This course teaches you some dynamic programming techniques in Java. freecodecamp.org/news/learn-dyn…
Data structures form the foundation of programming. Here’s a straightforward guide to get you started (with visuals):
Basic Programming Principles Every Programmer Must Know 📌DRY - Don't Repeat Yourself 📌KISS - Keep It Stupid Simple 📌YAGNI - You Aren't Gonna Need It 📌SLAP - Single Level of Abstraction Principle 📌SOC - Separation Of Concerns Any other ones?
Dynamic Programming is one of the hardest topics but it's all about identifying patterns in problems. 📌 Min/Max Path to Reach a Target 📌 Find Distinct Ways 📌 Merge Intervals 📌 DP on Strings 📌 Decision Making on DP Here are some problems of each type to master DP.
Areas you should focus on: • General syntax • Basic data types • Strings • Arrays, Lists, Dictionaries, Tuples, Sets • Conditionals and control flow • Exception handling • Comprehensions • Slicing • Object-Oriented Programming • Decorators and generators ↓ 5/10
To my surprise, there was not much content for developers with ADHD. So, I compiled a list of methods that will help you stay focused as a programmer. { author: @GeoNance } #DEVCommunity dev.to/george/how-to-…
And so it is with Structured Programming, Object-Oriented Programming, and Functional Programming. As you proceed up the levels of mastery, the three techniques that had seemed so separate and even mutually exclusive, blend together.
There are three fundamental constraints upon the structure of code. We learned all three between 1957 and 1968. Structured Programming, Object Oriented Programming, and Functional Programming.
Functional Programming, Object Programming, and Structured Programming are all part of the same whole: Programming. The structure of any system will benefit from a synthesis of all three; and will be less than optimal if one or more are excluded.
Get an instant Big Data library to explore this fascinating... #bigdata #programmingmethods #perfectintroduction goo.gl/H8JSyR
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