Apex TechHub

Topics that you can’t afford to miss along with DSA while preparing for technical interviews:

▫️ CS Fundamentals 🧑🏻‍💻
▫️ Object Oriented Programming 📝
▫️ Operating System 💻
▫️ Computer Networks👥
▫️ Database Management System🫙

After learning tech what is next?

- Inform your friend about your status (Tech Job Hunting)
- Convince your mentor about your craft
- Make reasonable connections
- Take internships
- Be part of a community
- Get the experience in whatever means necessary
- Pray luck finds you

1. HTML ➩ w3schools .com
2. CSS ➩ developer .mozilla
3. JavaScript ➩ javascript .com
4. React ➩ reactjs. org
5. SQL ➩ w3schools .com
6. Git ➩ learngitbranching .js .org
7. Interview ➩ interviewbit .com

for a software engineering job

a solid project >>> a bunch of certificates

agree or disagree?

Workspace inspiration.......
Go hard techie

10. Don't be afraid to search stuff up when stuck. You'll always be in learning mode. I am still learning something new about the language I use every day at work. It's okay not to know everything at once. It's okay to learn a little more every single day.

9. Now it's time to use it to actually learn it well. Start using it to build a project, solve a problem or contribute to open source using the language you learnt. The more you use it, the better you get

8. Learn about common libraries and frameworks that are used in the language. Stackoverflow and open source github projects will tell you a lot about it.

7. Learn the conventions and good practices

Learn the basic conventions.
Read code on github to gain understanding of good industry practices.

6. Understand the threading model

What are the available classes/functions for creating parallel tasks?
How to await, fork and join threads?
What are available helper classes or functions for synchronization (like semaphores, mutexes and other keywords/ types)

Understand intricacies of the language.

How are objects/data types compared to each other?
How does the in-built hashing calculate the hash values?
What is the time complexity and concurrency model of in built collection functions?
and more...

5. Now you can move to learning about predefined classes or functions that help you perform basic functions. Like:

Collections (Lists, Maps, Sets etc)
Strings, Integers and other data type class helpers
Collection functions (like map, reduce etc)
Math operations
and more...

4. Next learn about features that help you modularize and scale the code:

Functions
Delegates (or Lambdas)
Classes
Interfaces
Methods
Other object-oriented features (if present)