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What should I know before starting Java?

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What should I know before starting Java?

Prerequisites. You must know at least the basics of how to use a computer, and should be able to start a command line shell. If you are new to programming then Introduction to Programming is strongly recommended. If you already know C++ or any other Object-Oriented language, Java should be easy to pick up.

What things I should know in Java?

Must-Have Skills for Java Developers

  • Git. Git is one of the most important tools for programmers working in JAVA technology and recommended that JAVA developer should learn.
  • Selenium.
  • Jenkins.
  • RESTful Web Services.
  • Spring Security.
  • Spring Boot 2.
  • Angular or React JS.
  • Apache Spark and Kafka.

What I Wish I Knew Before becoming a programmer?

Programming is not about coding, programming is about solving problems with coding. This is the number one thing I wish I knew when I started programming. I would spend less time writing the “best code” and more time solving the customer’s problems in the quickest and best way I could.

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Is Java good in 2021?

The answer is simple: yes. As the world moves more towards mobile apps and convenience, Java is becoming more and more instrumental as a language. It’s one of the strongest languages we see, ranked third most popular with recruiters in the last two years. It’s definitely worth it to learn Java in 2021.

What are your 5 best tips in making a good Java program?

10 Java Coding Tips Every Programmer Should Know

  • Get the basics right.
  • Don’t just read.
  • Understand your code and algorithm.
  • Do not forget to allocate memory.
  • Avoid creating useless objects.
  • Interface is better than Abstract class.
  • Standard library is a bliss.
  • Prefer Primitive classes over Wrapper Class.

What can I do with coding?

What Can You Do with Coding Skills?: The Best Coding Jobs

  • Video Game Developer.
  • User Experience Designer.
  • Information Assurance Analyst.
  • Mobile Application Developer.
  • Software Quality Assurance Manager.
  • Data Scientist.
  • Machine Learning Engineer.
  • Database Developer.
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