Contain all resources, codes and problems solved be me of different platform
- Automate the Boring Stuff with Python: Online Book
- Data Types in Python : such as dates and times, fixed-type arrays, heap queues, double-ended queues, collection and enumerations.
- Pandas Reference API
- NumPy Reference API, InterviewBit
- Introduction
- Control flows - statements, instructions, or function calls
- Data types - int, float, String, Tuple, List, Set and Dictionary
- Functions
- Itertools module
- Comprehensions
- Manipulating strings
- String formatting
- Regular expressions
- Files and directory paths
- Reading and writing files
- Exception handling
- Debugging
- Args and Kwargs
- Main: top level script
- setup.py
- Dataclasses
- Virtual environments
ML python
- Numpy
- Pandas
- Not to do - Blog
- Question - GFG, kaagle collection, More on Kaggle
- Matplotlib
- Seaborn
- bookeh
If input array is sorted then
- Binary search
- Two pointers
If asked for all permutations/subsets then
- Backtracking
If given a tree then
- DFS
- BFS
If given a graph then
- DFS
- BFS
If given a linked list then
- Two pointers
If recursion is banned then
- Stack
If must solve in-place then
- Swap corresponding values
- Store one or more different values in the same pointer
If asked for maximum/minimum subarray/subset/options then
- Dynamic programming
If asked for top/least K items then
- Heap
- QuickSelect
If asked for common strings then
- Map
- Trie
Else
- Map/Set for O(1) time & O(n) space
- Sort input for O(nlogn) time and O(1) space
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