[GeeksForGeeks] Data Structures With Python

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[GeeksForGeeks] Data Structures With Python
  • Course - Data Structures With Python.html (1.3 MB)
  • Tracks.html (970.5 KB)
    • Module 1 01. Analysis of Algorithms
    • 00. Classroom.html (1.0 MB)
    • 01. Analysis of Algorithms (Background)-gfg.mp4 (150.5 MB)
    • 02. Order of Growth-gfg.mp4 (114.1 MB)
    • 03. Best, Average and Worst Cases-gfg.mp4 (96.3 MB)
    • 04. Big O Notation-gfg.mp4 (76.6 MB)
    • 05. Omega Notation-gfg.mp4 (78.2 MB)
    • 06. Theta Notation-gfg.mp4 (80.9 MB)
    • 07. Analysis of Common Loops-gfg.mp4 (127.9 MB)
    • 08. Analysis of Recursion-gfg.mp4 (219.7 MB)
    • 09. Space Complexity-gfg.mp4 (60.9 MB)
    02. List in Python
    • 00. Classroom.html (1.0 MB)
    • 01. List (Dynamic Sized Array) Introduction-gfg.mp4 (154.2 MB)
    • 02. Working of List in Python-gfg.mp4 (135.8 MB)
    • 03. Average or Mean of a List-gfg.mp4 (33.5 MB)
    • 04. Separate Even and Odd-gfg.mp4 (34.1 MB)
    • 05. Get Smaller Elements-gfg.mp4 (30.1 MB)
    • 06. Slicing (List,Tuple And String)-gfg.mp4 (77.2 MB)
    • 07. Comprehensions in Python-gfg.mp4 (147.1 MB)
    • 08. Largest Element in a List-gfg.mp4 (67.0 MB)
    • 09. Second Largest Element in a list-gfg.mp4 (94.1 MB)
    • 10. Check if a list is Sorted-gfg.mp4 (92.5 MB)
    • 11. Find the only Odd-gfg.mp4 (77.4 MB)
    • 12. Reverse a List in Python-gfg.mp4 (77.1 MB)
    • 13. Left Rotate a List by one-gfg.mp4 (49.0 MB)
    • 14. Left Rotate by d Places-gfg.mp4 (100.3 MB)
      • 00. Problems
      • 00. Problems - 1.html (867.3 KB)
      • 01. Array insert at end.html (1.8 MB)
      • 02. Array insert at index.html (1.8 MB)
      • 03. Get Element At Index.html (1.8 MB)
      • 04. Array Update At Index.html (1.8 MB)
      • 05. Array Delete And Shift.html (2.0 MB)
      • 06. Count Smaller Than X.html (1.6 MB)
      • 07. Count Elements Greater Than X.html (1.6 MB)
      • 08. Find Immediate Smaller Than X.html (1.6 MB)
      • 09. Find Immediate Greater Than X.html (1.6 MB)
      • 10. Who has the majority.html (1.6 MB)
      • 11. Maximum and Minimum In Array.html (1.6 MB)
      • 12. Reverse The Array.html (1.6 MB)
      • 13. Rotate Array.html (1.6 MB)
      • 14. Sum of Array Elements.html (1.6 MB)
      • 15. Mean And Median of Array.html (1.6 MB)
      • 16. Is Array Sorted.html (1.6 MB)
      • ProblemsName.txt (0.4 KB)
      03. String
      • 00. Classroom.html (1.0 MB)
      • 01. Escape Sequences and Raw Strings-gfg.mp4 (57.7 MB)
      • 02. Reverse A String in Python-gfg.mp4 (42.5 MB)
      • 03. String Comparison in Python-gfg.mp4 (58.8 MB)
      • 04. Strings in Python-gfg.mp4 (79.3 MB)
      • 05. Formmatted String in Python-gfg.mp4 (54.5 MB)
      • 06. String Operations Part (1)-gfg.mp4 (59.5 MB)
      • 07. String Operations Part (2)-gfg.mp4 (124.3 MB)
      • 08. Pattern Searching in Python-gfg.mp4 (37.1 MB)
      • 09. Check For Palindrome In Python-gfg.mp4 (87.0 MB)
      • 10. Check for Anagram in Python-gfg.mp4 (92.5 MB)
        • 00. Problems
        • 00. Problems - 1.html (862.2 KB)
        • 01. Length of String.html (1.6 MB)
        • 02. Vowels in String.html (1.6 MB)
        • 03. Count Distinct 02. Vowels in String.html (1.6 MB)
        • 04. Count Words in String.html (1.6 MB)
        • 05. Lowercase to Upercase.html (1.6 MB)
        • 06. Uppercase to Lowercase.html (1.6 MB)
        • 07. String Validation.html (1.6 MB)
        • 08. Panagram Checking.html (1.6 MB)
        • 09. Missing Characters in Panagram.html (1.6 MB)
        • 10. Reverse a String.html (1.6 MB)
        • 11. Anagram.html (1.6 MB)
        • ProblemsName.txt (0.3 KB)
        04. Hashing
        • 00. Classroom.html (1.0 MB)
        • 01. Introduction to Hashing-gfg.mp4 (50.7 MB)
        • 02. Hashing Application-gfg.mp4 (37.4 MB)
        • 03. Hashing Functions-gfg.mp4 (105.7 MB)
        • 04. Collision Handling-gfg.mp4 (29.3 MB)
        • 05. Chaining-gfg.mp4 (93.0 MB)
        • 06. Implementation of Chaining in Python-gfg.mp4 (97.9 MB)
        • 07. Open Addressing-gfg.mp4 (159.3 MB)
        • 08. Double Hashing-gfg.mp4 (162.3 MB)
        • 09. Implementation of Open Addressing in Python-gfg.mp4 (194.5 MB)
        • 10. Chaining vs Open Addressing-gfg.mp4 (56.3 MB)
        • 11. Set in Python-gfg.mp4 (251.9 MB)
        • 12. Dictionary in Python-gfg.mp4 (138.0 MB)
        • 13. Count Distinct Elements in a List-gfg.mp4 (72.3 MB)
        • 14. Subarray with 0 sum in Python-gfg.mp4 (123.5 MB)
        • 15. Check for Palindrome Permutation-gfg.mp4 (95.2 MB)
          • 00. Problems
          • 00. Problems - 1.html (859.5 KB)
          • 01. Count Non-Repeated Elements.html (1.8 MB)
          • 02. Print Non-Repeated Elements.html (1.8 MB)
          • 03. Non Repeating Character.html (1.6 MB)
          • 04. Hashing for pair - 1.html (1.6 MB)
          • 05. Hashing for pair - 2.html (1.6 MB)
          • 06. Winner of an election.html (1.6 MB)
          • ProblemsName.txt (0.2 KB)
          05. Recursion
          • 00. Classroom.html (1.0 MB)
          • 01. Recursion in Python-gfg.mp4 (126.9 MB)
          • 02. Applications of Recursion-gfg.mp4 (67.8 MB)
          • 03. Practice For Recursion (Part 1)-gfg.mp4 (68.4 MB)
          • 04. Practice For Recursion (Part 2)-gfg.mp4 (63.2 MB)
          • 05. Sum of Natural Numbers Using Recursion-gfg.mp4 (45.0 MB)
          • 06. Print N to 1 using Recursion in Python-gfg.mp4 (41.8 MB)
          • 07. Print 1 to N using Recursion in Python-gfg.mp4 (40.6 MB)
          • 08. Sum Of Digits Using Recursion-gfg.mp4 (57.8 MB)
          • 09. Tower of Hanoi in Python-gfg.mp4 (164.7 MB)
          • 10. Josephus Problem in Python-gfg.mp4 (139.2 MB)
            • 00. Problems
            • 00. Problems - 1.html (864.8 KB)
            • 01. Print 1 To N Without Loop.html (1.6 MB)
            • 02. Factorial Using Recursion.html (1.6 MB)
            • 03. Count Total Digits in a Number.html (1.6 MB)

Description

[GeeksForGeeks] Data Structures With Python






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Course Overview

This course has been designed for Python enthusiasts, both students and professionals, who are well-versed in Python but want to master the data structures using the language. In this course, you will get access to meticulously crafted video lectures that will explain to you the ways to implement data structures like Linked Lists, Stacks, Heaps, Graphs, and others. Moreover, you'll get access to a plethora of coding problems for each data structure just so you become well versed in it. Beyond that, you can practice your learned skills in a timed-environment by attempting artfully crafted contests.


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[GeeksForGeeks] Data Structures With Python

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14.6 GB
seeders:14
leechers:16
[GeeksForGeeks] Data Structures With Python

Torrent hash: 8473BA6557EE3993CE5ED52DFB4DB9B140C0EA2B