Notebook Master for Jupyter vs Data Structure Display

We believe the best way to learn AI/Deep Learning/Machine learning and Data Science is to enable them to access the reproducible codes on Jupyter. Notebook lets you explore million notebooks on Github/Kaggle and more. * Wonder how to implement new state of the art papers? * How to win a Data Science competition * How to start learning Deep Learning and Machine Learning. You can explore, search, store offline to read and learn your favorite notebooks any time, everywhere, on the go. Thanks to your feedback, we add new ad free subscription version by month/year. ** Functions ** - Open with colab from github - Explore top Jupyter notebook repositories - Search the repositories, users - Import your notebooks from cloud - View and bookmark your most valuable notebooks. - Offline view mode - Beautiful rendering maths in notebook. ** Ad free subscription ** • Length of subscription: monthly/yearly • Payment will be charged to iTunes Account at confirmation of purchase • Subscription automatically renews unless auto-renew is turned off at least 24-hours before the end of the current period • Account will be charged for renewal within 24-hours prior to the end of the current period, and identify the cost of the renewal • Subscriptions may be managed by the user and auto-renewal may be turned off by going to the user’s Account Settings after purchase Enjoy notebooks and happy modeling. Contact us: saigonapps@gmail.com Term of Service and Privacy policy: http://appsaigon.com/privacy.html

A novel data structure learning app, the most significant feature is that you can dynamically debug the data structure in this app, and visually observe the changes in the data structure during the operation. In this app you can learn the following data structures: 1. Linear structures, including arrays, linked lists, queues, stacks. Linear structures are the basis for other advanced data structures, as fine as advanced algorithms. 2. Tree structures, including binary tree, binary search tree, AVL tree, red-black tree, and heap. In this app, you can dynamically debug three traversals of the binary tree (including non-recursive traversal implementations), searching in the tree, balance adjustments in the AVL tree and red-black tree, and heap sorting. Give you the ability of handwritten red-black trees. 3. Graph structure, including the adjacency list storage representation of the graph structure, depth-first search and breadth-first search, finding the Euler path in the graph, topological sorting, maximum connected components, minimum spanning tree problem, and shortest single source Path problem. It also provides dynamic debugging of these classic graph algorithms. 4. The data structure introductory class will talk about the problem of the Tower of Hanoi. The algorithm that solves this problem is often recursive. This app provides dynamic debugging of the Tower of Hanoi problem, so you can no longer be confused about the recursive calls of the Tower of Hanoi.