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Python is not the only option for programming machine learning applications. There’s a growing community of developers who are using JavaScript to run machine learning models.

While JavaScript is not a replacement for the rich Python machine learning landscape (yet), there are several good reasons to have JavaScript machine learning skills. Here are four.

Private machine learning

Fast and customized ML models

Easy integration of machine learning in web and mobile applications

Server side JavaScript machine learning is maturing

JavaScript for programming machine learning offers several advantages over Python and R, namely privacy, speed, and staying on the device.

read more at https://venturebeat.com/2021/04/23/4-reasons-to-learn-machine-learning-with-javascript/

Static analysis is the practice of analyzing source code before it is running. In compiled programming languages, static analysis might be built into the compiler, but in dynamically interpreted languages like JavaScript, static analysis tools must be configured to run on the code sometime before it is deployed.

Static analysis in JavaScript can drastically improve your code quality. Take a look at how so, some available tools and tips for implementing this practice.

Because static analysis can be fully automated, it’s one of the best ways to improve the quality of your JavaScript code without investing developer time. But how exactly can static analysis help, and what tools are available to JavaScript developers?

1. Formatting and Styling Code

The most common tools for static analysis in the JavaScript ecosystem—ESLint, JSHint, Prettier, Standard—are primarily used to ensure consistency in a team’s codebase.

2. Detecting Bugs and Errors

While no substitute for testing, several static analysis tools can be used to catch likely errors before code is ever run.

ESLint, PMD, Prettier and Standard are all good free tools that have rules for this kind of error detection.

3. Enforcing Best Practices

You can enforce best practices automatically using static analysis.

Prettier and Standard include opinionated rules about best practices, while ESLint and PMD are a bit more configurable.

4. Measuring Complexity

If you want to catch increasing complexity or limit the cyclomatic complexity of your source code, Plato, ESLint or complexity-report are good static analysis tools for you.

5. Analyzing Security Risks

While you can’t depend on static analysis alone to prevent security vulnerabilities, it’s certainly worth automating what you can. While some of the tools above indirectly improve security by decreasing likely bugs, LGTM is a security-focused tool that takes a novel approach

Using the knowledge that common bugs are repeated across projects, LGTM scans thousands of large open-source projects to help you spot similar bugs in your codebase. This may lead to a lot of false alerts, but it might be worth trying in your project.

6. Auditing Third-Party Dependencies

JavaScript applications tend to rely on many third-party libraries and frameworks. This makes development faster, but it puts a huge strain on teams that have to keep these third-party dependencies up to date. Fortunately, static analysis tools can help remind you when updates are required and even automatically manage this upgrade process. - Dependabot

7. Checking Types 

JavaScript applications can use type checking using tools like Flow or TypeScript to ensure consistent use of variable types.

read the entire post at https://www.telerik.com/blogs/going-beyond-eslint-overview-static-analysis-javascript

Technical careers specialist Dice dove into job posting data to chart the salaries associated with popular programming languages, finding that Microsoft's TypeScript fares well in both accounts.

The job data comes from Burning Glass, which provides real-time job market analytics.

Dice combed through the data to determine which programming languages are

most in-demand and

how much they pay

Those are two vital questions as technologists and developers everywhere decide which skills to learn next.

See the attached photograph. TypeScript pays fairly well (fifth), but really shines in projected 10-year growth, where an astounding predicted rate of 60 percent dwarfs all other languages.

Dice opined more about TypeScript specifically. "It's worth calling out TypeScript here. Technically, it's a superset of the ultra-popular and well-established JavaScript, which means that whatever you code in it is transpiled to JavaScript. That being said, many programming-language rankings (such as RedMonk) treat it as a full programming language. However you define it, it's clear that the language is on a strong growth trajectory, paired with a solid median salary. If you're looking for a new programming language to learn, keep an eye on it."

read the whole report here: https://visualstudiomagazine.com/articles/2021/04/01/typescript-csharp.aspx

For a quickstart to Typescript for tjose of you know who know javascript look here --> https://www.typescriptlang.org/docs/handbook/typescript-in-5-minutes.html

There are several states in a JavaScript web app that keep on changing on the basis of user behavior, time, and other reasons. For example, creating a new to-do item in a ‘To Do list’ app will eventually change the current state of the application to the new state with the to-do item involved.

Since the state of the application is changed, the view through which the current state is presented with changes, and it eventually allows users to see the new to-do item in their view. However, if the state of an application doesn’t behave as expected, then it’s possibly the right time to debug the app.

Redux framework is a way to manage the  complete state of a JavaScript application through a centralized interface. In Redux each component of a web app can directly access the application’s state without sending down the props to child components.

Redux is a conventional state container for JavaScript applications. This state management tool is frequently used with the React JavaScript library, and it helps build web applications that can easily operate in different environments and behave consistently. 

Redux has a large ecosystem of add-ons that ultimately makes it suitable to be used together with React website templates as well as other view libraries. On top of all that, React Redux can easily provide a great and dynamic developer experience, along with many amazing benefits. 

Read the tutorial at :

https://www.wrappixel.com/beginners-guide-to-react-redux-heres-how-to-get-started/

to learn about

1. How does the Redux framework work?
2. Basics of React Redux
3. Action(s)
4. Reducer(s)
5. Action Type
6. Redux Store
7. Simple Styling for React Redux Components
8. Integrating React Redux within a User interface
9. Why do developers prefer React Redux?
10. Why should you use Redux?
11. The way forward: The best online tutorials to master Redux from scratch.

Traditionally, developers have created properties inside of JavaScript classes for any data that might be needed within an instance. This isn’t a problem for small pieces of data that are readily available inside of the constructor. However, if some data needs to be calculated before becoming available in the instance, you may not want to pay that cost upfront.

It may not be efficient to perform a calculation upfront if you aren’t sure the property will be used. Fortunately, there are several ways to defer these operations until later.

The on-demand property pattern

The easiest way to optimize performing an expensive operation is to wait until the data is needed before doing the computation. For example, you could use an accessor property with a getter to do the computation on demand

The messy lazy-loading property pattern

Only performing the computation when the property is accessed is a good start. What you really need is to cache the information after that point and just use the cached version. But where do you cache that information for easy access? The easiest approach is to define a property with the same name and set its value to the computed data

The only-own lazy-loading property pattern for classes

If you have a use case where it’s important for the lazy-loaded property to always exist on the instance, then you can using Object.defineProperty() to create the property inside of the class constructor. It’s a little bit messier than the previous example, but it will ensure that the property only ever exists on the instance

The lazy-loading property pattern for object literals

If you are using an object literal instead of a class, the process is much simpler because getters defined on object literals are defined as enumerable own properties (not prototype properties) just like data properties. That means you can use the messy lazy-loading property pattern for classes without being messy

Conclusion

The ability to redefine object properties in JavaScript allows a unique opportunity to cache information that may be expensive to compute. By starting out with an accessor property that is redefined as a data property, you can defer computation until the first time a property is read and then cache the result for later use. This approach works both for classes and for object literals, and is a bit simpler in object literals because you don’t have to worry about your getter ending up on the prototype.

One of the best ways to improve performance is to avoid doing the same work twice, so any time you can cache a result for use later, you’ll speed up your program. Techniques like the lazy-loading property pattern allow any property to become a caching layer to improve performance.

read this post with more details and code examples at https://humanwhocodes.com/blog/2021/04/lazy-loading-property-pattern-javascript/