python

Recursos de programación de python
Para comprender mejor la inteligencia artificial desde el punto de vista técnico y filosófico, Juantomás García, Chief Envisioner Officer de Sngular, recomienda los 5 libros top para leer sobre inteligencia artificial: Deep Learning with Python The Master Algorithm Data Smart Wtf. What's the Future and Why It's Up to Us
Para comprender mejor la inteligencia artificial desde el punto de vista técnico y filosófico, Juantomás García, Chief Envisioner Officer de Sngular, recomienda tu top 5 de libros. Deep Learning with Python The Master Algorithm Data Smart Wtf. What's the Future and Why It's Up to Us
Desarrollador y desarrolladora alegre y virtuosa quizás estos libros te ayuden a sentirte mejor, empatizar con tu tarea y profundizar en esos conceptos que parece siempre escapan. Si te gusta este contenido recuerda que puedes darte de alta en mi Zona Premium y disfrutar de la versión premium del podcast todos los viernes, directos, desafíos y cursos de programación. ¡Adelante! Recomendaciones podcasteras RadioDev Versión Extendida: Hacia donde va el desarrollo moderno de webs. Conmpart...
X language or Y technology wasn't enough to fill all the gaps required when you are trying to scale your systems. This meetup is going to be a contact point for people interested in make their apps grow. ------------- Teníamos un servidor con una alta carga de CPU y cuando nos pusimos a ver, era un proceso python. Además, la alta carga era en modo USER así que no podíamos culpar al SO. El proceso se ejecutaba periódicamente y tardaba minutos en terminar. Así que la gracia era averiguar qué estaba haciendo. ------------- Todos los Meetups a los que asistimos en: https://www.youtube.com/playlist?list=PLKxa4AIfm4pVFEq6q8GpeXrHBC-sKxkKH ------------- ¡Conoce Autentia! Twitter: https://goo.gl/MU5pUQ Instagram: https://lk.autentia.com/instagram LinkedIn: https://goo.gl/2On7Fj/ Facebook: https://goo.gl/o8HrWX
Senior Software Engineer at TomTom Software engineer at TomTom by day, machine learning enthusiast at night. My leading technology is Java and Java-based frameworks. On a daily basis, I work on designing, implementing and deploying distributed systems that work in cloud environments, such as Microsoft Azure and AWS. I'm interested in classification problems and multi-agent systems. I love to learn, read books and play football – in no particular order. Senior Software Engineer at TomTom Programmer, retired mage, bookworm, storyteller and liberal arts devotee. I'm into language semantics, its understanding and impact on the way people think. I love both natural and programming languages - professionally my heart belongs to Java, but I cheat on her with Python, Scala and, occasionally, other beautiful languages. In addition to my work at TomTom as a software engineer, I'm keen on artificial intelligence, mainly for natural language understanding. If we are to reach the technological singularity, we better get on it!
With Excel or custom tooling (Python, R, etc) there's flexibility to build data processing and preparation pipelines. Getting these to production level is often a different story as traditional or formal IT organisations are not well equipped to handle this kind of development. In this talk, I'll show how we have combined SQL and NoSQL storage engines to create flexible and production ready data pipelines that can deal with unstructured data flows in an efficient manner.
Web
28-05-2019
git , http , go , php , java , azure , scala , docker , python , node
Comparamos dos alternativas PaaS (Platform as a Service) con similitudes y diferencias para desplegar tus aplicaciones en la nube. Primero felicitamos a todos los participantes del Hackathon de Programar es una mierda, especialmente a los ganadores que con su esfuerzo han conseguido una suscripción completa al contenido de pago de danielprimo.io. Recuerda que al igual que ellos en la Zona Premium podrás aprender, practicar y encontrar inspiración para crear tus propias aplicaciones. Ha sido m...
 These are the best podcast/talks I've seen/listen to recently:Parallelizing computation with dask TalkPython podcast. Good episode if you are interested in different solutions to improve the performance of algorithms for Data Science. For python native shops, Dask seems a very good solution with a low entry barrier for Data Scientists.InfoQ Podcast: Kim Scott on Radical Candor Very interesting to learn about giving and receiving feedback. To go deeper in the topic, the book is al...