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Knowing how to program declaratively using pure functions is another key skill one should have, as it can completely change the way you code, for the better. With functional programming, you get to write the code purely through functions and avoid shared states, mutation of data, and side effects. Due to the declarative nature of functional programming, the resultant code is more concise, predictable, and easier to test and alter. Also, because it is concise, the code can be executed faster, thereby improving the load times. Learning functional programming can be tough and time-consuming, but the advantages that come with it make it worth the time spent.
Of course, this list is not exhaustive and these are just four of many such skills that help you grow as a developer. Learning these techniques and knowing when to use them is of paramount importance. When used right, they’re sure to give the users of your website or app the best possible experience. You can also get a deeper knowledge of SQL tricks or check new things you can code with React Native.
The key here is to always learn and provide value to your clients by offering their solutions better than their competitors.
This way you can better know your client’s requirements and work better on the project. As you probably know, the success of any project depends largely on the level of communication between you and your team and the clients and vice-versa. Better communication skills also help you to explain things to your client. For instance, you can help them understand the solution in a better way — which can make life easier for both you and your client. You also benefit from better collaboration with your fellow developers. Finally, you can use your communication skills to write better documentation.
Time complexity is an important part of the programming process when it comes to developing an application or website. It defines how much time and effort it takes to execute a specific set of instructions. In other words, higher time complexity means more computations are required before the completion of a task compared to lower time complexity.
If you want to make your applications as fast as possible, you should learn how to write algorithms with better time complexity. So, the next time you write an algorithm to solve a problem, you can measure the time complexity to improve it based on the requirements.