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
Show Me the Whole World: Towards Entire Item Space Exploration for Interactive Personalized Recommendations

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SSPNet: Scale Selection Pyramid Network for Tiny Person Detection from UAV Images.

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Gif-caption - A straightforward GIF Captioner written in Python

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GeneGAN: Learning Object Transfiguration and Attribute Subspace from Unpaired Data

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Attention Probe: Vision Transformer Distillation in the Wild

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Diagnostic tests for linguistic capacities in language models

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SurvITE: Learning Heterogeneous Treatment Effects from Time-to-Event Data

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This is an unofficial PyTorch implementation of Meta Pseudo Labels

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This is an official implementation of CvT: Introducing Convolutions to Vision Transformers.

Introduction This is an official implementation of CvT: Introducing Convolutions to Vision Transformers. We present a new architecture, named Convolut

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LAVT: Language-Aware Vision Transformer for Referring Image Segmentation

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Position detection system of mobile robot in the warehouse enviroment

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Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.

HiddenLayer A lightweight library for neural network graphs and training metrics for PyTorch, Tensorflow, and Keras. HiddenLayer is simple, easy to ex

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Open-AI's DALL-E for large scale training in mesh-tensorflow.

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Tools for manipulating UVs in the Blender viewport.

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Multi-Agent Reinforcement Learning for Active Voltage Control on Power Distribution Networks (MAPDN)

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