Mastering Machine Learning for Penetration Testing

Coding

Good coding skills are very important to data science and machine learning. In addition to using effective linear algebra, statistics, and mathematics, data scientists should learn how to code properly. As a data scientist, you can choose from many programming languages, like Python, R, Java, and so on.

Respecting coding's best practices is very helpful and highly recommended. Writing elegant, clean, and understandable code can be done through these tips:

• Comments are very important to understandable code. So, don't forget to comment your code, all of the time.
• Choose the right names for variables, functions, methods, packages, and modules.
• Use four spaces per indentation level.
• Structure your repository properly.
• Follow common style ...