Django Async: What’s New and What’s Next?

Starting with Django 3.1, the latest version that dropped a couple of weeks ago, Django now supports fully asynchronous request path. This is exciting for everyone who’s been waiting on the edge of their seats ever since Andrew Godwin’s DEP 0009 was approved by Django Technical Board in July 2019. Read on to know all about what this release means if you have a Django application in production and looking to add async support. At DeepSource, we’re working on adding more Django issues in our Python analyzer, which will also include async-specific bug risks and anti-patterns.

Support for Asynchronous Views and Middleware

In Django 3.1, async features are now supported across the request-response cycle. This means you can define fully asynchronous views using the async keyword:

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8 Reasons Why PHP and .NET Rule the World of Web Development

If any company wants to succeed in the market, it needs to strengthen its digital presence. Though social media provides a place to gain some attention, it is impossible to create a brand without an official web page. This is why businesses hire firms offering web development services to get their website designed, which would enable them to get as much traction as possible. 

Web development covers actions such as web design, programming, content creation, network security tasks, and server-side & client-side scripting. Among the technologies available for web development, most web development companies make their programming choice between PHP and.NET.

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Adopting DataOps for Agile Data Management Processes

As businesses become AI-ready, efficient data management has acquired an unprecedented role in ensuring their success. Bottlenecks in the data pipeline can cause massive revenue loss while having a negative impact on reputation and brand value. Consequently, there’s a growing need for agility and resilience in data preparation, analysis, and implementation.

On the one hand, data-analytics teams extract value from incoming data, preparing and organizing it for the production cycle. On the other, they facilitate feedback loops that enable continuous integration and deployment (CI/CD) of new ideas.

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7 Essential Tools for a Competent Data Scientist

A data scientist extracts manipulate and generate insights from humongous data. To leverage the power of data science, data scientists apply statistics, programming languages, data visualization, databases, etc.

So, when we observe the required skills for a data scientist in any job description, we understand that data science is mainly associated with Python, SQL, and R. The common skills and knowledge expected from a data scientist in the data science industry includes – Probability, Statistics, Calculus, Algebra, Programming, data visualization, machine learning, deep learning, and cloud computing. Also, they expect non-technical skills like business acumen, communication, and intellectual curiosity.

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Delimiting Huawei Account Kit Featuring React Native

HUAWEI Account Kit offers very simple, quick, and secure sign-in and authorization functionalities which help developers to implement hassle-free and quick sign-in functionalities for applications.

HUAWEI Account Kit offers services on different parameters as

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5 On-Call Practices To Help You Sleep Through the Night

On-call: you may see it as a necessary evil. When fast incident response can make or break your reputation, designating people across the team to be ready to react at all hours of the day is a necessity.  But, this often creates immense stress while eating into personal lives. It isn’t a surprise that many engineers have horror stories about the difficulty of carrying a pager.

But does on-call have to be so dreadful? No way. Here are five best practices to help your team respond quicker and build more resilient systems.

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Create CRUD endpoints using Hyperlambda

Hyper implies web, and lambda implies function – Hence, Hyperlambda translates into "web functions", and this is a fairly accurate description. However, hyper also implies "super fast", and by super fast here, I mean super fast! 1 minute and 45 seconds was what I needed to create CRUD endpoints wrapping my database table, manually creating my endpoints in the following video, while explaining how I did it simultaneously.

According to modern studies in the subject, the number of lines of code your project consists of, is directly proportional to the amount of energy and resources you’ll need to spend maintaining it. Hence, the fewer lines of code, the fewer resources are required to maintain it. In the video above, I copy and paste 50 lines of code, and I end up with 4 HTTP REST CRUD endpoints. Comparing this to C# is arguably unfair. Simply the boiler plate code for my Controller, would probably end up exceeding this number. You can find my code for all endpoints below.

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The Bearing of a Child Takes 9 Months No Matter How Many Women Are Assigned

I quote the title from the book Mythical Man-Month written by Fred Brooks and originated from Theodore von Kármán in the unique form “Everyone knows it takes a woman nine months to have a baby. But you Americans think if you get nine women pregnant, you can have a baby in a month.” Fred Brooks made this a very popular statement in the software industry, with good reasons. The idea behind it is that adding manpower to a late software project makes it later, also called Brooks’ Law.

This is a story about where I have seen this happen and what the result became to be.

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Logging As a Last Resort


Motivation

In software development one often finds themselves investigating issues. Depending on the type of the application, various sources of informations can be available: 

  • screenshots
  • verbal description of the problem
  • metrics
  • logs (application, framework, container, application server, OS, …)
  • thread and heap dumps

In an ideal world, the exact inputs that caused an issue and the code that failed would be immediately available. In a typical case though, it can take hours of digging through logs and code to understand what happened. Would it not be nice to avoid that?

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Why Do You Need to Get Microsoft Certified: Azure AI Engineer Associate Certification?

AI has been a revolutionary technology in the Tech world. The demand for artificial intelligence-related professions is increasing at an incredibly rapid rate. Similarly, the demand for an Azure AI Engineer is on buzz and at an all-time high. Many other AI-concerned accreditations could also be good alternatives for IT professionals. But, MS Azure assures a rapidly growing Artificial Intelligence landscape with innovative service offerings and advanced technologies. Hence, the demand for Microsoft Azure AI Engineer Associate Certification has increased to a large extent over the past few decades.

The future platform of the IT accreditation, AZURE AI mainly assists you to scrutinize AI services which count bots, agents, language, vision, speech, by adopting knowledge mining, cognitive services, and machine learning. AI solutions are required to satisfy scalability and performance to meet end-to-end solutions, for that we need to have advanced technologies and tools for analyzing and recording timely operation. 

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