Some useful resources for job preparation (Tech role and Quant)
First some sections contains resources or hacks for preparing algorithmic coding part of hiring process. Next section include probability and quant resources needed for Quant/Strategist roles. Lastly some sections on data science required for data scientist role
Some STL functions can help to write the solution of a problem in a single line. EX- Finding the next greater string is a classic problem asked in Job tests. This can be done just by using the next_permutation function of STL
- multiset
- lower_bound, upper_bound
- accumulate
- deque
- nth_element
- greater()
- rotate
- rbegin()
- next_permutation()
- __builtin_popcount()
- merge()
- __gcd()
- isdigit()
- isalnum()
- isalpha()
- All in one
- Segment tree
- DP on trees
- Substring problems
- Hackerearth tutorials
- Hackerearth notes
- MO's algorithm
- MO's algorithm
- Sparse table
- Bit manipulation
- XOR usage
- Set union
- Code for many algorithms
- Sqrt Decomposition
- Graphs and BIT masking
- Palindromic tree
Even though there is no concept of company specific questions that will be asked. Everything is universal. Company wise sorted data might give a prespective how a firm can focus more on some topics so that can be useful
- Questions on algos
- Mock placements
- Company specific
- Algirithm fundamentals
- Most asked common questions
- All in one
Many sources are there, top 3 are very important. Rest are not that popular among students.
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent