Sebastian Salazar

[freeCodeCamp.org @freeCodeCamp]

Here's a practical project to help you improve your Python skills: building a résumé screening system.

In this tutorial, @AbdulTa62185243 focuses on core programming concepts and the power of multi-processing.

You'll parse documents, design a scoring algorithm, build a web interface, and deploy the app at the end.

https://t.co/QjMnoenPMG

[Neo Kim @systemdesignone]

If you want to get ahead of 99% of software engineers, learn these system design concepts:

1 Scalability
2 Availability
3 Reliability
4 Latency
5 Throughput
6 Capacity
7 Client-Server
8 Database
9 SQL vs NoSQL
10 Load Balancing
11 Caching
12 Cache Invalidation
13 CDN
14 DNS
15 API Design
16 REST
17 GraphQL
18 gRPC
19 Authentication
20 Authorization
21 Rate Limiting
22 Fault Tolerance
23 High Availability
24 CAP Theorem
25 Consistency Models
26 Replication
27 Partitioning
28 Sharding
29 Indexing
30 Denormalization
31 ACID
32 BASE
33 Microservices
34 Monolith
35 Event-Driven
36 Message Queue
37 Pub/Sub
38 Sync vs Async
39 Idempotency
40 Backpressure
41 Circuit Breaker
42 Bulkhead
43 Retry Logic
44 Timeout
45 Service Discovery
46 API Gateway
47 Load Shedding
48 Autoscaling
49 Blue-Green
50 Canary Release
51 Feature Flags
52 Observability
53 Logging
54 Metrics
55 Tracing
56 Correlation ID
57 Monitoring
58 Alerting
59 Full-Text Search
60 Time Series
61 Vector DB
62 Materialized View
63 Query Optimization
64 Connection Pooling
65 Cache Stampede
66 Cache Warming
67 CDN Caching
68 Data Compression
69 Serialization
70 Deserialization
71 WebSockets
72 WebRTC
73 CQRS
74 Event Sourcing
75 Service Mesh
76 Sidecar
77 BFF
78 Strangler Pattern
79 LSM Trees
80 B-Trees
81 Merkle Trees
82 Bloom Filter
83 HyperLogLog
84 MapReduce
85 Batch Processing
86 Stream Processing
87 ETL
88 Data Pipeline
89 Data Lake
90 Data Warehouse
91 Secrets Management
92 RBAC
93 SSO
94 Encryption
95 Checksum
96 Erasure Coding
97 Consensus
98 Leader Election

...and 16 more concepts.

===

💾 Save & RT to help others master system design.
👤 Follow @systemdesignone + turn on notifications.

[Shubh @TheSuperEng]

These GitHub repositories are all you need for backend development:

1. codecrafters-io/build-your-own-x
2. kamranahmedse/developer-roadmap
3. donnemartin/system-design-primer
4. jwasham/coding-interview-university
5. practical-tutorials/project-based-learning
6. yangshun/tech-interview-handbook
7. ByteByteGoHq/system-design-101
8. gothinkster/realworld
9. binhnguyennus/awesome-scalability
10. docker/awesome-compose
11. ashishps1/awesome-system-design-resources
12. public-apis/public-apis
13. cheatsnake/backend-cheats
14. bootdotdev/curriculum

[Sebastian Salazar @SebasSala906]

@e_opore @FrancescoCiull4 Stop lying

[Edison @CodeEdison]

Backend Development Project Ideas

• Authentication API
• CRUD API For Users
• Blog Backend
• URL Shortener
• Pagination and Search API
• File Upload API
• Rate Limiter API
• Muti User chat Application
• Multi role user System
• O Auth2 Login API
• Job Queue System
• Recommendation System
• Video Steaming Service
• High Performance API With Caching
• Distributed File Storage System

[Vivo @vivoplt]

Don’t overcomplicate it.

• Build a Password Manager to learn file handling, hashing (not full crypto)
• Build a URL Shortener to understand routing, IDs, and persistence
• Build a Todo App with deadlines to practice CRUD and basic state
• Build a Web Scraper to learn requests, parsing, and rate limits
• Build a CLI Expense Tracker to master logic, files, and edge cases
• Build a Log Analyzer to work with files, timestamps, and patterns
• Build a Simple Recommender using similarity rules (not ML magic)
• Build an Email Automation Script using SMTP and scheduling

PROJECTS. Not tutorials.

[Python Programming @PythonPr]

Python Full Course for Beginners | Complete All-in-One Tutorial
This Python Full Course for Beginners is an all-in-one beginner tutorial and complete course full of nearly 9 hours of Python code and instruction to level up your programming skills. This course teaches all of the Python fundamentals. View this Python full course tutorial as a Python video textbook with 23 clearly defined chapters.
https://t.co/Fd0BfXuSYV

[Neo Kim @systemdesignone]

If you want to get ahead of 99% of software engineers, star & bookmark these 9 GitHub repos:

[freeCodeCamp.org @freeCodeCamp]

Modern applications rarely live in isolation - they're used on laptops, staging servers, and production environments.

Each environment has its own quirks - so this is where Docker and containers come in to save the day.

In this guide, @manishmshiva teaches you how to Dockerize your application and deploy it.

https://t.co/PUlskt6xsh

[Sebastian Salazar @SebasSala906]

@sarahbustani69 11 (one of your best outfits btw)

[Sparrow @photon010]

One of my favorite pictures

[Ashish Pratap Singh @ashishps_1]

I created a Github repository to learn System Design, and I'm excited to share that it crossed 35k stars recently.

The repository contains a collection of resources to study:
- System Design Core Concepts
- Networking and API Fundamentals
- Database and Caching Fundamentals
- Distributed Systems, Microservies and Architectural Patterns
- System Design Tradeoffs
- 40+ interview problems categorized by difficulty level

Check it out here: https://t.co/pkVpi6LxSV

If you find the repo valuable, consider giving it a ⭐️ and share with others.

Thanks to everyone who has starred or forked the repository!

[Juanky @JuankyN7]

Lista muy subjetiva de los mejores directores de la historia.

[Sebastian Salazar @SebasSala906]

@mk27_r SEMI ALERTA DE SPOILER: No es muy grave pero mucha discreción al leer
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Los que van con el anime: Dios que ternura Robin y Bonney, ojalá esta se una a los mugis
Los que van con el manga: Bonney seguía en este arco?

[Antonio Lupetti @antoniolupetti]

"Introduction to Algorithms" is an extraordinary university-level resource for anyone studying algorithms and computer science.

It covers computational complexity, data structures, graph algorithms, dynamic programming, divide and conquer methods, greedy algorithms, randomized algorithms, and many of the mathematical foundations underlying modern computer science.

What makes it particularly valuable is the balance between mathematical rigor and practical algorithmic reasoning. It is one of those books that profoundly shapes the way you think about problems, efficiency, and computation itself.

An absolute must-have in the toolkit of anyone working in computer science.

https://t.co/nKQchjwoCo

[Miguel Ángel Durán @midudev]

Si estás usando npm install, estás en peligro.

¡Así de crudo te lo cuento para que reacciones!

Ayer se comprometieron paquetes de TanStack en npm.
De las bibliotecas más usadas en el mundo JavaScript.

Y de ahí saltó a Mistral, OpenSearch, UiPath, PyPI...

Porque muchos ataques no necesitan que importes nada. Basta con una instalación para infectarte.

¿Cómo?
Colando scripts como preinstall o postinstall que se ejecutan durante la instalación.

Lo importante es que tiene solución:
① Usa pnpm 11
Viene con defensas por defecto contra este tipo de ataques.

② Si sigues usando pnpm 10, npm, yarn o bun
Activa minimumReleaseAge y ponle 1440.
Evita instalar versiones publicadas el mismo día.

③ Bloquea scripts de instalación por defecto
pnpm evita que cualquier dependencia ejecute código en tu máquina solo por instalarla.

Por favor, comparte esto para que le llegue al máximo número de personas y paremos la cadena de ataques.

[Miguel Ángel Durán @midudev]

Este repositorio es una joya. Te da todos los pasos e instrucciones para proteger y asegurar tu servidor Linux.

Perfecto por si tienes un servidor propio o VPS:
https://t.co/yJD2GnXFPj

[Sebastian Salazar @SebasSala906]

@Nickwing78 >got it's Peak around late 2019 to early 2020, right before the pandemic cynicism
>Pandemic comes
>It starts fading away
>Somebody tells Fantano that Is the Worst Song ever Made
>"oh my God you right, it's the worst song ever Made*
>Album comes out
>"It's even worse"

[Sebastian Salazar @SebasSala906]

@PythonDvz