Dave SN

Auditor, fiscalíasta, Consultor financiero & de TI... Arquitecto de planes de retiro & de seguridad patrimonial

[Rafael Alejandro Tapia Sanchez @ralejandrots88]

1/6 Si cobraste un seguro de vida como beneficiario, el SAT te puede cobrar ISR sobre ese dinero. Si, aunque sea una indemnizacion por la muerte de un familiar. Te explico cuando SI esta exento y cuando NO en este hilo 🧵

[Regalitos Digitales @regalitosw]

Nadie te enseñó esto en el colegio y por eso sigues confundiendo el verbo TO BE.

Esta tabla lo cambia todo 👇

[Beyond The Leash @Beyond_theleash]

This dog is too beautiful to ignore. 😍🐕

[Dave SN @DaveSN6]

@SusanaMorffe Cómo si fuera te? O como digo el agua de limón si pero los otros solo caliento el agua, y los echo?

[Dave SN @DaveSN6]

@Rohitgupta24852 hello i want to learn python

[Dave SN @DaveSN6]

@tech_crafters Send

[Crafters Warrior @tech_crafters]

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[Dave SN @DaveSN6]

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[AI Empire @ai_empire74532]

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[Dave SN @DaveSN6]

Caótica y apocaliptica #CDMX donde la diversión se mueve en un subsuelo acuoso y en cada #Sismocdmx nos recuerda que sigue viva la tierra de nuestros ancestros y dónde aquí nos tocó vivir

[Libros UNAM @librosunam]

🙋🏻‍♀️Luisa Josefina Hernández escribió más de quince obras de teatro y más de una decena de novelas, entre ellas «El lugar donde crece la hierba», título que inauguró la colección #Vindictas. A tres años de su fallecimiento, compartimos este adelanto de la novela.➡️ https://t.co/QH92vOJfEF

[Ashish Pratap Singh @ashishps_1]

If you want to get good at System Design in 2026, consider learning these 30 concepts:

1. Client-Server Architecture
2. IP Address
3. DNS
4. Proxy / Reverse Proxy
5. Latency
6. HTTP/HTTPS
7. APIs
8. Rest API
9. GraphQL
10. Databases
11. SQL vs NoSQL
12. Vertical Scaling
13. Horizontal Scaling
14. Load Balancers
15. Indexing
16. Replication
17. Sharding
18. Vertical Partitioning
19. Caching
20. Denormalization
21. CAP Theorem
22. Blob Storage
23. CDN
24. WebSockets
25. Webhooks
26. Microservices
27. Message Queues
28. Rate Limiting
29. API Gateways
30. Idempotency

♻️ Repost to help others in your network.

[Crafters Warrior @tech_crafters]

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[Ashish Pratap Singh @ashishps_1]

Top 12 Data Structures You Should Know for Coding Interviews:

1. 𝐀𝐫𝐫𝐚𝐲𝐬
- A fixed-size collection of elements stored in contiguous memory.
- Provides O(1) access based on index.

2. 𝐌𝐚𝐭𝐫𝐢𝐱 (2𝐃 𝐀𝐫𝐫𝐚𝐲)
- A multi-dimensional array used for representing grids, graphs, and dynamic programming problems.

3. 𝐋𝐢𝐧𝐤𝐞𝐝 𝐋𝐢𝐬𝐭
- A dynamic data structure where elements (nodes) are linked via pointers.
- Types: Singly Linked List, Doubly Linked List, Circular Linked List.

4. 𝐒𝐭𝐚𝐜𝐤
- A Last-In-First-Out (LIFO) data structure where the element added last is the first one to be removed.
- Supports push, pop, and peek operations in O(1) time.

5. 𝐐𝐮𝐞𝐮𝐞
- A First-In-First-Out (FIFO) data structure.
- Allows inserting at the back (enqueue) and removing from the front (dequeue) in O(1) time.
- Used to process elements in the same order as they are added.

6. ����𝐚𝐬𝐡𝐌𝐚𝐩
- A key-value data structure that uses a hash function for fast lookups.
- Provides O(1) average-time insert/delete/search, O(N) (Worst-case due to collisions)

7. 𝐓𝐫𝐞𝐞
- A hierarchical data structure with a root node and child nodes.
- Types: Binary Tree, N-ary Tree, AVL Tree, Red-Black Tree.

8. 𝐁𝐢𝐧𝐚𝐫𝐲 𝐒𝐞𝐚𝐫𝐜𝐡 𝐓𝐫𝐞𝐞 (𝐁𝐒𝐓)
- A special tree where the left child < root < right child.
- Enables O(log N) search, insert, and delete in balanced BSTs.

9. 𝐇𝐞𝐚𝐩 (𝐏𝐫𝐢𝐨𝐫𝐢𝐭𝐲 𝐐𝐮𝐞𝐮𝐞)
- A binary tree-based structure where the parent is always greater (max heap) or smaller (min heap) than its children.
- Provides O(log N) insert/delete and O(1) get min/max.

10. 𝐓𝐫𝐢𝐞
- A tree structure used for fast string searches.
- Provides O(M) insert/search/delete, where M is the string length.

11. 𝐆𝐫𝐚𝐩𝐡
- A collection of nodes (vertices) connected by edges.
- Represented using an Adjacency List (efficient) or Adjacency Matrix.
- Types: Directed, Undirected, Weighted, Unweighted.

12. 𝐔𝐧����𝐨𝐧-𝐅𝐢𝐧𝐝 (𝐃𝐢𝐬𝐣𝐨𝐢𝐧𝐭 𝐒𝐞𝐭)
- A data structure used for efficiently handling dynamic connectivity.
- Supports Union(x, y) and Find(x) in nearly O(1) time (with path compression).
- Useful in detecting cycles and finding connected components in a graph.

♻️ Repost to help others in your network

[Sosa | Mental Strategist @MetaMorpehus]

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[Kling AI @Kling_ai]

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[Wildscape Wonders @WildscapeWonder]

Tallinn, Estonia 🇪🇪

[Dave SN @DaveSN6]

Feliz 2026? Wow así se ve mi inicio de año, sin solecito #FelizJueves