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18/12/2022

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🫙

02/11/2022

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

01/11/2022

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

31/10/2022

for a software engineering job

a solid project >>> a bunch of certificates

agree or disagree?

Workspace inspiration.......Go hard techie
30/10/2022

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

30/10/2022

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.

30/10/2022

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

30/10/2022

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.

29/10/2022

7. Learn the conventions and good practices

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

29/10/2022

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...

28/10/2022

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...

28/10/2022

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)

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