Mauricio Aliendre @Maps18244

Google Drive se ha convertido en la plataforma de almacenamiento en la nube más usada, gracias a los más de 100.000 millones de usuarios de Google. Así que te traigo 12 trucos desconocidos para que exprimas al máximo su potencial. 👇🧵

TRUCAZO para liberar GIGAS de Disco Duro Si eres programador y usas NPM... Ejecuta este comando: npx npkill Te mostrará las carpetas node_modules y su tamaño Dale [Espacio] para eliminar las que ya no usas ↓

Un bootcamp de 400 horas jamás podrá remplazar el tutorial de 2 horas de un indio que encontraste en YouTube

¡Crea diagramas visuales de tus consultas SQL! Funciona con mySQL, PostgreSQL, Oracle y más: → sqlflow.gudusoft․com

My 7 Web Development notes that may come in handy (unordered): 1. CORS

Justify-content:

Linux Permissions

📣 ¿Tipografía responsive? Sólo necesitas una línea de código CSS 👇

I'm calling for a more minimalistic approach to machine learning: Regression? Predict the mean Robust regression? Median Classification? Always predict majority class Time series? Same as yesterday: Y(t) = Y(t-1) Text generation? Lorem ipsum

Popular HTTP Request methods to detect web attacks

Remote work is the future. Struggling to find remote jobs online? Here are 23 Sites offering $700 to over $1,500 per month of work remote jobs

Traffic signal violation detection using Python Best Python Books: bit.ly/3REqgBm #python #programming #developer #morioh #programmer #softwaredeveloper #computerscience #webdev #webdeveloper

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𝗪𝗵𝗮𝘁 𝗶𝘀 𝗞𝘂𝗯𝗲𝗿𝗻𝗲𝘁𝗲𝘀 and why should you 𝗹𝗲𝗮𝗿𝗻 𝗶𝘁 𝗮𝘀 𝗠𝗟𝗢𝗽𝘀/𝗠𝗟/𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿? Today we look into the Kubernetes system from a bird's eye view. 𝗦𝗼, 𝘄𝗵𝗮𝘁 𝗶𝘀 𝗞𝘂𝗯𝗲𝗿𝗻𝗲𝘁𝗲𝘀 (𝗞𝟴𝘀)? 𝟭: It is a container orchestrator that performs the scheduling, running and recovery of your containerised applications in a horizontally scalable and self-healing way. Kubernetes architecture consists of two main logical groups: 𝟮: Control plane - this is where K8s system processes that are responsible for scheduling workloads defined by you and keeping the system healthy live. 𝟯: Worker nodes - this is where containers are scheduled and run. 𝗛𝗼𝘄 𝗱𝗼𝗲𝘀 𝗞𝘂𝗯𝗲𝗿𝗻𝗲𝘁𝗲𝘀 𝗵𝗲𝗹𝗽 𝘆𝗼𝘂? 𝟰: You can have thousands of Nodes (usually you only need tens of them) in your K8s cluster, each of them can host multiple containers. Nodes can be added or removed from the cluster as needed. This enables unrivaled horizontal scalability. 𝟱: Kubernetes provides an easy to use and understand declarative interface to deploy applications. Your application deployment definition can be described in yaml, submitted to the cluster and the system will take care that the desired state of the application is always up to date. 𝟲: Users are empowered to create and own their application architecture in boundaries pre-defined by Cluster Administrators. ✅ In most cases you can deploy multiple types of ML Applications into a single cluster, you don’t need to care about which server to deploy to - K8s will take care of it. ✅ You can request different amounts of dedicated machine resources per application. ✅ If your application goes down - K8s will make sure that a desired number of replicas is always alive. ✅ You can roll out new versions of the running application using multiple strategies - K8s will safely do it for you. ✅ You can expose your ML Services for other Product Apps to use with few intuitive resource definitions. ✅ … ❗️Having said this, while it is a bliss to use, usually the operation of Kubernetes clusters is what is feared. It is a complex system. ❗️Master Plane is an overhead, you need it even if you want to deploy a single small application. Are you deploying your ML applications in Kubernetes? What are the main pain points you are facing? Let me know in the comments 👇 -------- Follow me to upskill in #MLOps, #MachineLearning, #DataEngineering, #DataScience and overall #Data space. Also hit 🔔to stay notified about new content. 𝗗𝗼𝗻’𝘁 𝗳𝗼𝗿𝗴𝗲𝘁 𝘁𝗼 𝗹𝗶𝗸𝗲 💙, 𝘀𝗵𝗮𝗿𝗲 𝗮𝗻𝗱 𝗰𝗼𝗺𝗺𝗲𝗻𝘁! Join a growing community of Data Professionals by subscribing to my 𝗡𝗲𝘄𝘀𝗹𝗲𝘁𝘁𝗲𝗿: newsletter.swirlai.com

Create a Progress Bar in Python

Which query do you think would perform better and WHY? #SQLServer #SQL

Veo que cuando comparto vacantes me preguntan cuál es la mejor página para encontrar TRABAJO REMOTO EN ESPAÑOL. Así que acá les comparto mis 5 páginas favoritas (aparte de LinkedIn) para eso. En especial las últimas 3 sirven para encontrar vacantes en español. 🧵👇

Create Dummy data using Python

5 PORTALES para ENCONTRAR TRABAJO como PROGRAMADOR JUNIOR💻👦 🔺¿Eres PROGRAMADOR JUNIOR? 🔺¿Buscando tu PRIMER TRABAJO? 🔺¿En REMOTO o como FREELANCE? Te dejo 5 PORTALES para encontrar TU PRIMERA EXPERIENCIA 🧵👇

¿Hay un bug en tu código y no sabes qué commit lo introdujo? ¡Aprende a utilizar git bisect! Pasos: 1. Inicia el proceso 2. Marca un commit con el error 3. Busca un commit sin bug 4. Automatiza ir probando commits 5. Y al final te dice el commit que introdujo el problema:

7 WEBS para encontrar trabajo en REMOTO en PROGRAMACIÓN: ① torre․co ② getonbrd․com ③ remoteok․io ④ trabajosremotos ․es ⑤ remoteleads․io ⑥ justremote․co ⑦ weworkremotely․com ¿Cuál usas tú?