https://img87.pixhost.to/images/599/359020115_tuto.jpg
19.79 GB | 00:29:09 | mp4 | 1280X720  | 16:9
Genre:eLearning |Language:English


Files Included :
1 -Introduction  (25.68 MB)
1 -Import Modules And Packages In Python  (135.44 MB)
2 -Standard Library Overview  (144.52 MB)
1 -File Operation In Python  (135.82 MB)
2 -Working With File Paths  (73.74 MB)
1 -Exception Handling With Try Except And Finally Blocks  (204.21 MB)
1 -Classes And Objects In Python  (179.22 MB)
2 -Inheritance In OOPS  (161.64 MB)
3 -Polymorphism In OOPS  (157.77 MB)
4 -Encapsulation In OOPS  (186.98 MB)
5 -Abstraction In OOPS  (72.2 MB)
6 -Magic Methods In Python  (68.51 MB)
7 -Operator Overloading In Python  (77.44 MB)
8 -Custom Exception Handling  (136.25 MB)
1 -Deep Dive Into Iterators In Python  (47.53 MB)
2 -Generators With Practical Implementationn And Usecases  (86.9 MB)
3 -Deep Dive Into Function Copy,Closures and Decorators  (176.72 MB)
1 -Introduction To Data Structure  (79.79 MB)
10 -Insert at Head  (57.69 MB)
11 -10  Insert at Tail mp4  (59.59 MB)
12 -11  HW - Insert at Tail - Recursive  (69.31 MB)
13 -12  Insert at Index- Iteratively  (175.44 MB)
14 -13  HW - Insert at Index - Recursion  (115.71 MB)
15 -14  Delete a Node - Head  (43.6 MB)
16 -15  Delete a Tail Node  (71.85 MB)
17 -(HW) Delete Tail Recursively  (57.16 MB)
18 -Delete Node at Given Index  (124.88 MB)
19 -(HW) Delete a Node Recursively  (47.09 MB)
2 -4  (9.88 MB)
2 -Intro To Linked List  (61.23 MB)
20 -Delete Node by Value  (81.95 MB)
21 -Delete a Node in LL  (26.25 MB)
22 -Search in LL By Value  (49.56 MB)
23 -(HW) Search by Index  (11.1 MB)
24 -Array vs Linked List  (45.97 MB)
25 -Linked List Class  (29.85 MB)
3 -Create Linked List  (102.61 MB)
4 -Print LL  (88.14 MB)
5 -Take Input of Linked List - I  (103.54 MB)
6 -Take Input of Linked List II  (87.15 MB)
7 -Take input of Linked List - Optimized  (132.63 MB)
8 -Length Of Linked List  (100.36 MB)
9 -Linked List Operations  (31.29 MB)
1 -Getting Started With Google Colab  (124.94 MB)
2 -Getting Started With Github Codespace  (171.09 MB)
3 -Anaconda And VS Code IDE Installation  (123.07 MB)
1 -5  (4.1 MB)
1 -Middle of LL  (56.95 MB)
2 -Middle of LL - 2 pointer method  (114.69 MB)
3 -Merge two Sorted Linked List  (171.03 MB)
4 -Reverse a LL (Recursive)  (96.19 MB)
5 -Reverse LL Optimized (Recursion)  (102.97 MB)
6 -Reverse Linked List (Iteration)  (120.6 MB)
7 -Merge Sort Linked List  (35.07 MB)
8 -Types of Linked List  (84.54 MB)
1 -6  (13.96 MB)
1 -Introduction To Stack  (60.51 MB)
2 -Stack - LIFO Principle  (67.13 MB)
3 -Operations on Stack  (46.35 MB)
4 -Stack Implementation using List  (152.09 MB)
5 -Visualizing Stack Using List  (41.11 MB)
6 -Stack using Linked List  (110.79 MB)
7 -Stack Using LL - Optimized  (57.18 MB)
8 -Stack Using LL Implementation  (117.56 MB)
1 -Introduction To Queue  (54.26 MB)
2 -Operations in Queue  (39.42 MB)
3 -Queue with Inbuilt List  (43.38 MB)
4 -Queue using List - Implementation  (73.59 MB)
5 -Queue Using Linked list  (76.42 MB)
6 -Queue Using LL (Implementation)  (140.52 MB)
7 -Types Of Queue  (49.42 MB)
1 -8  (3.68 MB)
1 -Introduction To Trees  (55.39 MB)
10 -Height of a Tree  (63.22 MB)
11 -Traversal in a Tree  (64.94 MB)
2 -Tree Examples and Applications  (48.93 MB)
3 -Terminologies in a Tree  (97.86 MB)
4 -Defining a TreeNode  (75.9 MB)
5 -Print Tree  (49.89 MB)
6 -Print Tree Detailed  (70.3 MB)
7 -Take Input (Recursively)  (90.55 MB)
8 -Take Input Level Wise  (186.09 MB)
9 -Count Nodes in a Tree  (45.1 MB)
1 -9  (9.61 MB)
1 -Introduction To Binary Tree  (54.26 MB)
10 -Construct Tree from Preorder and Inorder  (152.85 MB)
11 -Construct Tree from Preorder and Inorder - Solution  (200.95 MB)
12 -Construct a tree from inorder and postorder  (92.83 MB)
13 -Types of Binary Tree  (132.61 MB)
2 -Binary Tree Node  (49.42 MB)
3 -Print Binary Tree  (85.18 MB)
4 -Take Input Binary Trees  (70.38 MB)
5 -Take Input level Wise  (93.57 MB)
6 -Diameter of Tree  (186.11 MB)
7 -Diameter of Tree - Optimised  (169.76 MB)
8 -IsBalanced binary Tree  (51.94 MB)
9 -Traversals in Binary Tree  (115.86 MB)
1 -Introduction To BST  (66.69 MB)
10 -BST Class - Insert Function  (79.19 MB)
11 -BST Class - Delete Method  (190.55 MB)
12 -BST Class - Complexity  (72.19 MB)
13 -Balancing a Tree  (26.96 MB)
2 -BST Node and Print  (41.5 MB)
3 -Search in a BST  (36.25 MB)
4 -Sorted List to BST  (50.93 MB)
5 -Check BST  (90.54 MB)
6 -Check BST Optimized  (61.58 MB)
7 -Print Elements in a range  (36.63 MB)
8 -Check BST using Limits  (69.08 MB)
9 -BST Class - Search  (73.69 MB)
1 -Getting Started With VS Code  (141.84 MB)
2 -Python Basics- Syntax and Semantics  (221.19 MB)
3 -Variables In Python  (267.7 MB)
4 -Basic Datatypes In Python  (126.69 MB)
5 -Operators In Python  (167.67 MB)
1 -11  (12.2 MB)
1 -Introduction to Hashmaps  (60.93 MB)
10 -Hashmap Chaining Implementation  (207.39 MB)
11 -Complexity Analysis of our Implemented Hashmap  (112.89 MB)
12 -Implementing Rehashing in our Hashmap  (161.88 MB)
2 -Why Hashmaps  (90.31 MB)
3 -Inbuilt Hashmap in Python  (99.89 MB)
4 -HashmapDictionaries Questions  (6.76 MB)
5 -Implementing our own hashmap - Hashing  (144.05 MB)
6 -Collision Handing  (108.37 MB)
7 -Open Addressing - Insert and Search  (173.79 MB)
8 -Open Addressing - Delete  (120.88 MB)
9 -Hashmap Implementation - Chaining (Linked List Class)  (104.78 MB)
1 -Working With Numpy With Python  (520.61 MB)
2 -Pandas Dataframe And Series  (532.19 MB)
3 -Data Analysis And Manipulation  (446.66 MB)
1 -Read Data From Various Data Scources  (272.51 MB)
2 -Data Visualization With Matplotlib  (283.82 MB)
1 -Data Visualization With Seaborn  (183.11 MB)
2 -Sqlite With Python  (320.14 MB)
1 -16-Multithreading and Multiprocessing  (3.5 KB)
1 -What is Process And Threads  (161.23 MB)
2 -MultiThreading Practical Impelemntation  (101.31 MB)
3 -Multiprocessing With Python  (57.32 MB)
4 -Thread Pool Executor And Process Pool  (60.06 MB)
5 -Webscraping Usecases With Multithread  (106.98 MB)
6 -Factorial Usecase With Multi Processing  (68.53 MB)
1 -Logging In Python  (254.48 MB)
2 -Loggign With Multiple Loggers  (88.45 MB)
3 -Logging Implementation With a real World Example  (137.9 MB)
1 -Conditional Statements (if,elif,else)  (307.03 MB)
2 -Loops In Python  (376.78 MB)
1 -flask  (6.03 KB)
1 -Introduction To Flask Framework  (152.6 MB)
2 -Understanding A Simple Flask Web Application  (101.64 MB)
3 -Integrating HTML With Flask  (87.91 MB)
4 -HTTP Verbs GET And Post  (140.06 MB)
5 -Building Dynamically Url Jinja 2  (383.45 MB)
6 -Put Delete And API's In Flask  (229.43 MB)
1 -List And List Comprehrension In Python  (286.97 MB)
2 -Sets In Python  (393.51 MB)
3 -Dictionaries In Python  (298.75 MB)
4 -Tuples In Python  (168.7 MB)
5 -Real World Usecases Of List  (82.28 MB)
1 -Getting Started With Functions  (177.16 MB)
2 -More Coding Example With Functions  (224.11 MB)
3 -Python Lambda Functions  (68.19 MB)
4 -Map functions In Python  (82.42 MB)
5 -Filter Function In Python  (70.4 MB)
1 -Introduction to Flowcharts  (61.72 MB)
2 -What is a Pseudocode  (20.65 MB)
3 -Framework to Solve a Problem  (61.09 MB)
1 -A Guide to attempting Coding Exercises  (33.65 MB)
1 -Introduction to Arrays in Python  (89.88 MB)
2 -Linear Search  (57.18 MB)
3 -Bubble Sort - Implementation  (90.74 MB)
4 -Binary Search Algorithm  (146.38 MB)
5 -Bubble Sort - Explanation and visualisation  (56.46 MB)
6 -List as Dynamic Array  (96.73 MB)
7 -Coding Custom List- Part 1  (185.92 MB)
8 -Coding Custom List - Part 2  (188.96 MB)
9 -Selection Sort - Explanation and Visulization  (53.05 MB)
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Screenshot
https://images2.imgbox.com/64/da/cvIStYh4_o.jpg

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