Whether you are doing a programming test for school or a new job, it is always an opportunity to demonstrate your skills. Passing the test involves a lot of planning and practice. You can get R programming homework help to prepare for your test. Here are a few approaches which candidates can take to increase their chances of passing a programming test.
Use Readable and Maintainable Code
It is recommended to use meaningful names for variables, types, classes, functions, and methods. Your code is readable if you can read a source code file line by line and understand without jumping to other files.
Another readability criteria are to ask yourself if you are able to understand the code and fix a bug in it even at late hours of the night. Use the very possible language feature to keep your code simpler. Avoid using too many design patterns that can make your code complicated, familiar patterns are enough.
Read the Instructions Carefully
You should read the programming instructions and understand what you are required to do. Ask the person who has sent you the task if you don’t understand something. Think about the implementation details and make a plan. Know what to implement first and the scenarios to test.
Once you get the test read the task first and leave the coding for the next day. This will give your brain time to process what is required from you. You will be surprised how you will be able to come up with good implementation ideas. Make sure that you meet the requirements, it may seem obvious but do whatever you are asked.
Implement the Basic Scenarios First
Before the test, you should have knowledge of the basics of programming Variable Declaration, Operands, Looping structures, Control structures, and Program Structure. Review and refresh your knowledge from time to time. Ensure that you implement the basic scenario. If you are required to read the data from a file, process it, and then print the transformer data, here the first basic scenario is to read, process, and output the data.
Do not take into account edge cases such as large files, invalid and missing files. After implementing the basic scenarios then you can then account for various edge cases and errors. Show that you are familiar with catching and throwing meaningful exceptions if your programming language supports exception handling.
Use Mainstream Tools, Libraries, and Techniques
Your implementation should be predictable by using mainstream tools and libraries. It may be hard to maintain code if you use a non-conventional implementation.
Rare tools and exotic techniques may be rejected also by the examiner. Know when to use programming language, frameworks, and libraries creatively depending on the project. A creative implementation may be welcomed in engineering projects.
