All the essential resources and template code needed to understand and practice data structures and algorithms in python with few small projects to demonstrate their practical application.

Overview

Data Structures and Algorithms Python

INDEX

1. Resources -

  1. Books
    • Data Structures - Reema Thareja
    • competitiveCoding
  2. Big-O Cheat Sheet
  3. DAA Syllabus
  4. Interview Cheat sheet
  5. Master Plan
  6. Master the Interview

2. Big-O -

  1. O(1)
  2. O(m+n)
  3. O(n)
  4. O(n^2)

3. Data Structures -

  1. Arrays
  2. Graphs
  3. Hashtables (dictionary)
  4. Linked Lists
  5. Stack
  6. Queues
  7. Trees

4. Algorithms -

  1. Dynamic Programming
  2. Recursion
  3. Sorting
    • Bubble Sort
    • Heap Sort
    • Insertion Sort
    • Quick Sort
    • Selection Sort
  4. Traversals
    • BFS
    • DFS
    • Bisection Search

5. File Handling and OOPS

  1. File + Classes Demo

6. Projects

  1. Job Scheduler
  2. Email Project
  3. Hash Project
  4. Recursion Miniprojects
  5. Runtime Analyser
Owner
Shushrut Kumar
20 | Computer Science Engineering student at SRMIST Chennai
Shushrut Kumar
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[NeurIPS 2021] A weak-shot object detection approach by transferring semantic similarity and mask prior.

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Code for "Long Range Probabilistic Forecasting in Time-Series using High Order Statistics"

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Official pytorch code for "APP: Anytime Progressive Pruning"

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code for "AttentiveNAS Improving Neural Architecture Search via Attentive Sampling"

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Contact Potential Field This repo contains model, demo, and test codes of our paper: CPF: Learning a Contact Potential Field to Model the Hand-object

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Official PyTorch implementation of Synergies Between Affordance and Geometry: 6-DoF Grasp Detection via Implicit Representations

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DFSA Unofficial pytorch implementation of the ICCV 2021 paper "Dynamic High-Pass Filtering and Multi-Spectral Attention for Image Super-Resolution" (p

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Single-Stage Instance Shadow Detection with Bidirectional Relation Learning (CVPR 2021 Oral)

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Implementation of E(n)-Transformer, which extends the ideas of Welling's E(n)-Equivariant Graph Neural Network to attention

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