- Stands for Facebook/Meta, Apple, Amazon, Netflix and Google.
- Set of good product based companies.
- What should you learn? Why should you learn? How should you learn?
- Filtration is based on our problem-solving skills.
- Data structures and algorithms
- Based on our problem-solving skills.
- Solve on the basis of efficiency
- Coding accuracy and productivity.
- Some good sources Of learning algorithms all
- MyCodeschool youtube
- Abdul Bari book
- Practice sources
- Interviewbit website
- Leaf Code website
- Richard Buckland YouTube classes
- Design
- Low-level design
- When we add new attributes least code change is needed.
- Some good sources are
- Corman book
- refactoring.guru
- High-level design
- Interviews, on job performance
- Knowledge of system design
- Some good sources are
- Designing data into applications.
- Alex Xu
- Programming language depth
- Learn a programming language in depth. MAANG companies have their own tech stack which is similar to others outside.
- Job performance is asked.
- Best source is Google.
- Computer science fundamentals
- Operating system/databases/network.
- Perfect Sources not yet available.
- Projects
- For example tweak garbage collector to work more efficiently
- Learn memory management from this context
- GitHub
- Host on cloud
- Herokuapp
- AWS free tier
- Companies like MAANG
- Amazon
- Microsoft
- Altassian
- Swiggy
- Razorpay
- Adobe
- Walmart labs
- Flipkart/Myntra
- Uber
- Lipping/rubric
FAANG/MAANG Engineer
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