2023 Data Structures Using Python

  • CategoryOther
  • TypeTutorials
  • LanguageEnglish
  • Total size2.8 GB
  • Uploaded Bytutsnode
  • Downloads224
  • Last checkedJul. 09th '23
  • Date uploadedJul. 08th '23
  • Seeders 68
  • Leechers36

Infohash : BF01E560B0D2C74AF0A8414570C3148491118723


Description

Are you ready to take your Python programming skills to the next level? Enhance your understanding of data structures and unleash the true potential of Python with our comprehensive course on mastering data structures.

In this hands-on course, you will dive deep into the world of data structures and learn how to effectively implement them using Python. Whether you’re a beginner looking to solidify your programming fundamentals or an experienced developer seeking to enhance your skills, this course is designed to cater to your needs.

What sets this course apart is its practical approach. You’ll not only gain a solid theoretical foundation but also apply your knowledge through numerous coding exercises and real-world examples. By the end of the course, you’ll have a firm grasp of various data structures, their functionalities, and efficient implementation techniques.

Here’s what you’ll learn:

Explore foundational data structures such as arrays, linked lists, stacks, queues, and hash tables.
Master advanced data structures like trees, heaps, graphs, and their traversal algorithms.
Learn how to choose the right data structure for different scenarios.
Solve challenging coding problems using data structures and algorithms.
Gain practical experience through hands-on coding exercises and projects.
Discover best practices for designing efficient and scalable programs.

Whether you aspire to build robust software applications, excel in technical interviews, or enhance your problem-solving skills, this course will equip you with the essential tools and knowledge to succeed.

Join a vibrant community of learners, engage in discussions, and receive personalized support from our experienced instructors. Get ready to harness the power of data structures and revolutionize your Python programming journey.

Enroll now and embark on a transformative learning experience that will pave the way to becoming a confident and proficient Python programmer.

Let’s unlock the power of efficient programming together!

Happy Coding !!
Who this course is for:

Beginner programmers
Intermediate programmers
Computer science students
Software developers
Self-learners

Requirements

Basic programming knowledge: It is typically expected that learners have a basic understanding of programming concepts and have some experience with Python programming language. This includes knowledge of variables, data types, loops, conditionals, and basic functions.
Familiarity with Python syntax: Learners should be comfortable with the syntax and basic usage of Python programming language, including knowledge of functions, modules, and libraries.

Last Updated 6/2023

Files:

2023 Data Structures Using Python [TutsNode.net] - 2023 Data Structures Using Python 3. Lists, Tuples, Sets and Dictionaries in Python
  • 4. Working with List Methods.mp4 (189.8 MB)
  • 11. Basics of Dictionary.mp4 (133.1 MB)
  • 8. Tuple Indexing and Slicing.mp4 (78.6 MB)
  • 1. Accessing Elements & Searching Element in a List.mp4 (54.3 MB)
  • 14. Understanding Sets in Python.mp4 (48.5 MB)
  • 12. Accessing dictionary elements.mp4 (44.3 MB)
  • 3. Indexing and Slicing in Lists.mp4 (39.1 MB)
  • 9. Manipulating Tuples.mp4 (28.5 MB)
  • 6. Finding Maximum and Minimum Element in a List.mp4 (26.7 MB)
  • 13. Working with dictionary.mp4 (25.9 MB)
  • 2. Working with Operators on Lists.mp4 (19.2 MB)
  • 5. List Comprehension.mp4 (18.0 MB)
  • 7. Tuples.mp4 (15.0 MB)
  • 10. Unpacking Tuples.mp4 (5.4 MB)
10. Coding Assessments
  • 1. Pair-wise Sum.html (0.1 KB)
  • 2. Display linked list in reverse order.html (0.1 KB)
  • 3. ValidInvalid Parenthesis.html (0.1 KB)
  • 4. Checking for BST.html (0.1 KB)
7. Queues
  • 1.1 Queues.pptx (719.3 KB)
  • 1. Understanding Queues.mp4 (82.7 MB)
  • 5. Implementing Queues Using LinkedLists.mp4 (75.6 MB)
  • 6. Circular Queues.mp4 (38.1 MB)
  • 4. Implementing Queues using queue module in Python.mp4 (37.8 MB)
  • 3. Implementing Queues Using Collections-dequeue in Python.mp4 (26.1 MB)
  • 2. Implementing Queues Using Lists with built-in methods in Python.mp4 (24.4 MB)
6. Stacks
  • 2. Implementing Stacks in Python.mp4 (103.5 MB)
  • 1.1 Stacks.pptx (325.6 KB)
  • 6. Linked List Implementation of Stacks in Python.mp4 (94.6 MB)
  • 8. Using Stacks for Checking Balanced Parenthesis.mp4 (61.3 MB)
  • 5. Implementing Stacks Using Queue-Lifo Queue in Python.mp4 (45.8 MB)
  • 1. Understanding Stacks.mp4 (45.2 MB)
  • 4. Implementing Stacks Using Collections-dequeue in Python.mp4 (26.2 MB)
  • 7. Stack Application Balanced Parenthesis.mp4 (25.3 MB)
  • 3. Implementing Stacks Using Lists with built-in methods in Python.mp4 (21.3 MB)
5. Linked Lists
  • 1. Basics of Linked lists.mp4 (95.6 MB)
  • 6. Finding maximum value in a Linked list.mp4 (83.9 MB)
  • 2. Inserting an Element in a Linked List.mp4 (54.7 MB)
  • 7. Deleting the Linked List.mp4 (45.3 MB)
  • 5. Checking whether two given Linked Lists are Identical or not .mp4 (44.2 MB)
  • 4. Finding Middle Element in a Linked List.mp4 (34.3 MB)
  • 3. Searching an Element in a Linked List.mp4 (31.2 MB)
4. Recursion
  • 4. Example program3 on functions.mp4 (75.2 MB)
  • 2. Example program1 on functions.mp4 (58.2 MB)
  • 3. Example program2 on functions.mp4 (52.8 MB)
  • 1. Functions in python.mp4 (33.0 MB)
8. Trees
  • 3. Representation of a Binary Tree.mp4 (56.7 MB)
  • 9. Sum of Elements in a Binary Tree.mp4 (54.8 MB)
  • 7. How to Implement Post-order Traversal in Python .mp4 (24.7 MB)
  • 4. Binary Tree Traversals.mp4 (24.1 MB)
  • 5. How to Implement Inorder Traversal in Python .mp4 (23.1 MB)
  • 6. How to Implement Pre-order Traversal in Python .mp4 (22.1 MB)
  • 8. How to Implement Height of a Binary Tree in Python .mp4 (19.8 MB)
  • 1. Tree Terminology.mp4 (16.8 MB)
  • 2. Defining Binary Tree and Complete Binary Tree.mp4 (11.9 MB)
1. Introduction to Python
  • 13. For loop.mp4 (37.5 MB)
  • 10. While loop.mp4 (32.6 MB)
  • 1. Variables.mp4 (25.1 MB)
  • 9. Example for Nested if statement.mp4 (24.7 MB)
  • 2. Conditionals & If statement.mp4 (23.8 MB)
  • 3. If statement example.mp4 (20.1 MB)
  • 6. Elif Statement.mp4 (18.7 MB)
  • 8. Nested if statement.mp4 (18.2 MB)
  • 12. While loop to display multiplication table.mp4 (18.0 MB)
  • 17. Finding Sum of digits in a given number.mp4 (16.7 MB)
  • 11. While loop to count the digits in a given number.mp4 (15.4 MB)
  • 7. Example for Elif Statement.mp4 (15.2 MB)
  • 5. Example for If else statement.mp4 (12.4 MB)
  • 15. Break and Continue statement.mp4 (12.2 MB)
  • 14. Displaying numbers using for loop.mp4 (12.1 MB)
  • 16. Finding Sum of first 10 numbers.mp4 (11.4 MB)
  • 4. If else statement.mp4 (10.0 MB)
9. Binary Search Trees
  • 3. Inserting a node in BST.mp4 (16.8 MB)
  • 4. Creating a BST.mp4 (15.8 MB)
  • 1. Definition of BST with Example.mp4 (15.8 MB)
  • 2. Search operation in BST.mp4 (14.3 MB)
2. Arrays in Python
  • 5. Insertion in 1D Arrays.mp4 (13.0 MB)
  • 9. Insertion Operation in 2D Arrays.mp4 (13.0 MB)
  • 6. Deletion in 1D Arrays.mp4 (11.2 MB)
  • 8. Accessing 2D Arrays.mp4 (10.7 MB)
  • 11. Update Operation in 2D Arrays.mp4 (10.4 MB)
  • 1. Definition.mp4 (8.2 MB)
  • 3. Accessing 1D Arrays.mp4 (8.1 MB)
  • 2. Creating and Displaying 1D Arrays.mp4 (8.0 MB)
  • 7. Updating in 1D Arrays.mp4 (7.8 MB)
  • 10. Deletion Operation in 2D Arrays.mp4 (7.0 MB)
  • 4. Searching in 1D Arrays.mp4 (3.0 MB)
  • TutsNode.net.txt (0.1 KB)
  • [TGx]Downloaded from torrentgalaxy.to .txt (0.6 KB)
  • .pad
    • 0 (246.6 KB)
    • 1 (164.5 KB)
    • 2 (156.4 KB)
    • 3 (381.7 KB)
    • 4 (390.2 KB)
    • 5 (66.7 KB)
    • 6 (290.1 KB)
    • 7 (446.0 KB)
    • 8 (421.4 KB)
    • 9 (776.1 KB)
    • 10 (693.5 KB)
    • 11 (774.6 KB)
    • 12 (350.4 KB)
    • 13 (158.9 KB)
    • 14 (273.7 KB)
    • 15 (676.5 KB)
    • 16 (237.6 KB)
    • 17 (547.6 KB)
    • Code:

      • udp://open.stealth.si:80/announce
      • udp://tracker.tiny-vps.com:6969/announce
      • udp://fasttracker.foreverpirates.co:6969/announce
      • udp://tracker.opentrackr.org:1337/announce
      • udp://explodie.org:6969/announce
      • udp://tracker.cyberia.is:6969/announce
      • udp://ipv4.tracker.harry.lu:80/announce
      • udp://tracker.uw0.xyz:6969/announce
      • udp://opentracker.i2p.rocks:6969/announce
      • udp://tracker.birkenwald.de:6969/announce
      • udp://tracker.torrent.eu.org:451/announce
      • udp://tracker.moeking.me:6969/announce
      • udp://tracker.dler.org:6969/announce
      • udp://9.rarbg.me:2970/announce