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Author: Michael G
The Walking Dead Game Walkthrough PART 10
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Novela Génesis – Capítulo 247 hablado español latino (Penúltimo)
(Capitulo 81 – 150) https://www.dailymotion.com/playlist/x7e1w0
(Capitulo 151 – 248) https://dailymotion.com/playlist/x7haca
Génesis hablado en español latino TVN – Capítulo 247 completo
Serie basada en el libro de “Génesis”. Una producción que contará desde la creación del mundo hasta historias clásicas como Caín y Abel, el Arca de Noé, la Torre de Babel, Abraham, y terminando con la historia de José de Egipto. ¡El origen de todo, contado en una serie extraordinaria! El hombre busca constantemente respuestas y se cuestiona todo el tiempo con la esperanza de explicar los misterios del mundo. Y para comprender el presente, es necesario conocer el pasado. ¿Qué es la vida humana? De donde venimos ¿Cómo aparecieron las bellezas de la naturaleza? ¿Cuál es el origen de todo lo que conocemos? Son enigmas que la sobreproducción Génesis busca retratar al público a través de una trama épica y sin precedentes en la televisión brasileña. Desde la creación del mundo, pasando por la gran inundación y la construcción de la Torre de Babel, la telenovela presenta viejas historias, contadas y transmitidas de generación en generación, que exploran el origen de la humanidad. Las disputas entre las luces y las sombras, las intrigas familiares y los milagros emocionantes conmoverán a los espectadores de todas las edades, haciendo que las noches de la semana sean mucho más atractivas. Dividida en fases, esta gran obra de teledramaturgia cuenta con escenarios deslumbrantes, personajes con fuerte identificación con el público y una trama profunda que promete fuertes emociones desde el principio hasta el final de cada capítulo. Asocie su campaña con grandes valores y acerque su marca al corazón de la familia con esta nueva e increíble producción.
Sarala Sagar Receives Heavy Inflow, Gates Opened Automatically _ V6 News
కేజీ 16 తులాల బంగారం | ప్లాస్టిక్ బతుకమ్మ 13 వేలు
https://youtu.be/jxSEIgH0Adc
దసరాకు లీడర్ల దావత్ లు
https://youtu.be/m62MRVKcYHw
వచ్చిండు..పొయిండు
https://youtu.be/rWESfB2sEnA
ప్లాస్టిక్ బతుకమ్మ 13 వేలు
https://youtu.be/r6VmIkb0G3Y
నిన్న నై – ఇయ్యాల జై
https://youtu.be/04ziure8U7Q
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Spinning Code: What I Brought from Drupal to Salesforce
If you look over this blog, or know me, you will see that I’ve now have reasonably significant experience as both a Salesforce and Drupal developer. The last couple weeks I have been thing about what from my Drupal experience supports my work as a Salesforce developer.
I think there are three parallels that are encouraged in Drupal developers that helped me learn to be a good Salesforce developer quickly.
- Embrace, don’t fight, Platform Constraints
- Extend the Platform’s Strengths
- Leverage Events
Embrace Salesforce Platform Constraints
Both Drupal and Salesforce run in constrained environments. Web applications, regardless of their purpose, have to protect themselves against bad actors and bad neighbors. There are execution timeouts and memory limits, for both platforms. Salesforce adds a variety of additional limits and governors, but they are all logical extensions about memory and time. Lots of other platforms allow developers to ignore resource use until they reach a crisis point. Don’t believe me, just check the memory used by Chrome, Electron Apps, or any other Chromium-based application.
Working in resource constrained environments forces you to think through how to use the resources you do have efficiently. While these platforms aren’t like working on hardware with highly limited resources, they still can test your resourcefulness.
Drupal and Salesforce both provide ways to run large jobs across many processing contexts. New developers on both platforms often only resort to using batch and queueable operations as a last resort, but learning to use those solutions is critical to success on most interesting projects. When you try to avoid them you create solutions that appear to work and fail at scale.
Coming to Salesforce from Drupal, I already knew and understood the importance of asynchronous batch processing. So when solutions needed batch processing it was second nature to learn that part of the platform.
Extend the Platform’s Strengths
For all Salesforce’s push and marketing to avoid code, Salesforce developers are often taught that once you write code you just do everything in your code. The interfaces you can use to extend the platform’s existing solutions are treated as advanced topics. But when you work with Drupal, you are encouraged from the start to create modules that build on and extend the platform’s existing strength. Drupal developers are encouraged to leverage the features and utilities all around them.
This has always been true, but even more after Drupal’s move to leverage Symphony plugins and services. As a developer used to extending the platform, I came to Salesforce looking for ways to extend the platform’s declarative tools.
Often Salesforce developers create powerful solutions built purely in code triggered by record changes or simple buttons. They look passed Apex Actions that extend the Flow declarative automatons, platform events, and other tools that extend the system. But when you embrace a platform’s basic structures you often create more flexible solutions than your could with pure code.
The mind set of extending a platform, which I brought with me from my Drupal work helps me create tools and solutions that are designed to adapt over time.
Leverage Events
Event driven architectures are not new, but their popularity continues to grow. Where platforms used to follow informal patterns that equated to event systems, now we see formal event structures being build to replace old habits.
Drupal and Salesforce both have had event frameworks for a long time: Drupal had hooks (events by naming convention), Salesforce had triggers.
Both have seen major upgrades to their event patterns in recent versions. Platform events in Salesforce, still making their full power clear to a lot of developers. Symphony brought proper events to Drupal in version 8 and continue to help push the platform forward.
I have learned to leverage the events systems on both platforms. Understanding them as tightly constrained state machines, and learning to push them to their limits, helps me get the most from both platforms.
My experience with Drupal hooks and events has made it obvious to me when to leverage Salesforce’s Platform events. As Salesforce increases the number of places you can use them in their declarative tools, it increases the value of this approach.
So What?
As a developer, what you learn in one part of your career can make you stronger in the next. As a field we’re not actually that creative. Even if the details are different, the concepts will often carry forward because they are built on the same fundamentals. Whatever platform you are using today, learn how to make it sing – it’ll help you learn the next faster and better.
The post What I Brought from Drupal to Salesforce appeared first on Spinning Code.
OpenSSH 9.1 is almost ready for release. Please help testing!
An important message from Damien Miller (djm@
) turned up on mailing lists and elsewhere, saying,
From: Damien Miller <djm () mindrot ! org> Date: Wed, 28 Sep 2022 00:03:37 +0000 To: openssh-unix-dev Subject: Call for testing: openssh-9.1 Hi, OpenSSH 9.1p1 is almost ready for release, so we would appreciate testing on as many platforms and systems as possible. This is a bugfix release. Snapshot releases for portable OpenSSH are available from http://www.mindrot.org/openssh_snap/
You can read the whole message here or continue after the fold –
R vs. Python: What’s the best programming tool for machine learning and data science applications?
Harikrishna Kundariya, Contributor to Linux.com Data science is one of the most promising career choices today. It is also evident as data is a new power. Businesses across the globe receive tons of data from their customers, different metrics, and other sources. Analyzing this data to make data-driven decisions is crucial in having a competitive edge in […]
The post R vs. Python: What’s the best programming tool for machine learning and data science applications? appeared first on Linux.com.