Today’s most popular algorithms and data structures were invented on paper. Testing comes close second.Įinstein’s only tools to rewrite the cosmic rules were pen and paper. If someone makes a list of problems that need machines, algorithms and data structures would come last. Why spend it straining your eyes when you could utilize it for your brain?Īll you need is a thing to write your pseudo-code on a computer is quite an overpowered device for that Those places glue them to screen with their problems, forums, and intensely gamified achievements. Then they go to one of the LeetCode, Codechef, Hackerrank, or TopCoder fraternity sites. However, many programmers make the mistake of equating this time with the time they spend in front of their computers.įirst, they read Cracking the Coding Interview. Because if programming was like learning to walk, algorithms and data structures would be akin to knee bones upon which a toddler programmer crawls. And more so for algorithms and data structures. While this rule is under the scanner of many experts, for programming, it is mostly true. The most simplified version of this rule says that if you practice for 10000 hours, you can be an expert in any field. Malcolm Gladwell’s book Outliers coins the well-known 10000 hours rule. Your expertise in algorithms and data structures is a function of the time you spend with them. If you practice for 10000 hours, you can be an expert in any field.
Expand it every day, and use it to fuel your hunger to learn better programming. In days of cloud workflows and distributed blockchains, this is truer than any other time period in history.
#BASIC DATA STRUCTURES AND ALGORITHMS SOFTWARE#
If that doesn’t motivate you enough, take this: Software is the only (now, the first) discipline where you can create an entire product assembly line singlehandedly. But at some point, they all started alone, then pushed things to such a limit that other great devs couldn’t help but join them. They weren’t the best at algorithms and data structures, too. Those coders surely weren’t alone all the time.
Learn from each one of those sources (most are open source), and you will never be bereft of ambition throughout your programming career. (see below)Īmbitious coders have singlehandedly written stuff that runs today’s world: Operating systems, Version Control Systems, Internet, Email, Crypto, Most infamous viruses, Social networks - you name it.
Having a goal of getting into FAAMG could motivate you as well, but it’s an elusive goal. The entrepreneurial spirit turns on your motivation switch - the most vital ingredient in learning complex ideas such as algorithms and data structures. What best I can extract from my computer (optionally, also the API web, Kaggle, GitHub Explore, and many more package registries like NPM JS) today that can benefit me, my friends, and the society at large? Though, some times later, you might ask yourself: why not?!)Įntrepreneurial ambition means asking yourself one question every day: (Don’t just begin to google “seed investor for faster link list”. Think (design) globally act (code) locally.īy “Entrepreneurial”, I do not mean to say that every newbie coder should aim to start a new business.
This article is focused more on the approach, not the resources. And there are at least a thousand articles/Quora answers advising the best book/course to learn Algorithms and Data Structures. This topic deserves a book, written by a hardcore computer scientist.
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