Reactive Extensions for JavaScript (RxJS) Skill Overview
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- Category: Technical > Programming frameworks
Description
Reactive Extensions for JavaScript (RxJS) is a library for reactive programming using Observables, which makes it easier to compose asynchronous or callback-based code. This approach helps you manage data streams and propagate changes in an elegant way. With RxJS, you can create data streams from various sources like clicks, mouse events, promises, and more. You can also transform, combine, manipulate, and subscribe to these data streams using its powerful API. It's widely used in real-time applications, complex user interfaces, and even server-side development. Mastering RxJS requires understanding its core concepts, operators, error handling, testing, and debugging techniques.
Expected Behaviors
Micro Skills
Understanding the concept of data streams
Knowing the principles of Observables and Observers
Understanding how data is produced and consumed in reactive programming
Knowing the characteristics of pull systems
Understanding the concept of push systems
Comparing pull and push systems
Understanding how reactive programming can handle asynchronous data streams
Recognizing the scalability and flexibility of reactive programming
Appreciating the ease of managing data flow in reactive programming
Knowing how to declare variables and functions in JavaScript
Understanding JavaScript control structures (loops, conditionals)
Familiarity with JavaScript data types and operators
Ability to declare and use variables
Ability to create loops for repetitive tasks
Ability to define and call functions
Knowing what asynchronous programming is
Understanding JavaScript's event loop
Familiarity with callbacks, promises, and async/await
Understanding and using Promises for asynchronous operations
Knowing how to use arrow functions and their benefits
Familiarity with other ES6 features like let/const, template literals, destructuring
Knowing what problem RxJS solves
Understanding how RxJS fits into the JavaScript ecosystem
Recognizing when to use RxJS over traditional JavaScript techniques
Identifying scenarios where RxJS would be beneficial
Understanding the trade-offs of using RxJS
Knowing alternatives to RxJS and when to use them
Knowing examples of applications built with RxJS
Understanding how RxJS can be used in front-end and back-end development
Recognizing the impact of RxJS on application performance and user experience
Understanding the step-by-step nature of imperative programming
Knowing how state is managed in imperative programming
Recognizing the limitations of imperative programming
Knowing why reactive programming emerged
Understanding the differences in handling data and state between the two paradigms
Recognizing the impact of this shift on software development practices
Understanding the strengths and weaknesses of imperative programming
Knowing the benefits and challenges of reactive programming
Being able to choose the right paradigm based on the requirements of a project
Understanding the Observable constructor
Creating Observables from events
Creating Observables from promises
Creating Observables from iterable objects
Understanding the Observer object
Handling next, error, and complete notifications
Using the subscribe method with an Observer
Using the subscribe method with separate callbacks
Understanding the purpose of operators
Implementing the map operator
Implementing the filter operator
Implementing the reduce operator
Understanding how errors propagate
Catching and handling errors with catchError
Retrying failed requests with retry and retryWhen
Understanding why and when to unsubscribe
Unsubscribing with the Subscription object
Unsubscribing with takeUntil and first operators
Knowing the definition of a Subject
Differentiating between Observables and Subjects
Identifying when to use a Subject
Writing code to create a Subject
Subscribing to a Subject
Publishing values to a Subject
Defining hot and cold Observables
Distinguishing between hot and cold Observables in code
Converting a cold Observable into a hot one
Using the multicast operator
Connecting to a Multicasted Observable
Sharing a Multicasted Observable
Using the share operator
Understanding the behavior of shared Observables
Defining the switchMap operator
Identifying scenarios suitable for switchMap
Writing code using the switchMap operator
Handling errors with switchMap
Defining the mergeMap operator
Identifying scenarios suitable for mergeMap
Writing code using the mergeMap operator
Handling errors with mergeMap
Defining the concatMap operator
Identifying scenarios suitable for concatMap
Writing code using the concatMap operator
Handling errors with concatMap
Defining combined Observables
Identifying when to combine Observables
Writing code using the combineLatest operator
Understanding the output of combineLatest
Writing code using the zip operator
Understanding the output of zip
Writing code using the merge operator
Understanding the output of merge
Writing code using the concat operator
Understanding the output of concat
Defining Schedulers
Explaining how Schedulers control execution
Writing code using the queueScheduler
Understanding the behavior of queueScheduler
Writing code using the asapScheduler
Understanding the behavior of asapScheduler
Writing code using the asyncScheduler
Understanding the behavior of asyncScheduler
Defining observeOn and subscribeOn
Writing code using observeOn and subscribeOn
Defining backpressure
Explaining why backpressure is important
Writing code using the debounceTime operator
Understanding the behavior of debounceTime
Writing code using the throttleTime operator
Understanding the behavior of throttleTime
Writing code using the buffer operator
Understanding the behavior of buffer
Writing code using the window operator
Understanding the behavior of window
Understanding the structure of an operator
Implementing a basic custom operator
Handling errors within a custom operator
Testing a custom operator
Understanding testing methodologies for asynchronous code
Writing unit tests for Observables
Using marble diagrams for testing
Mocking Observables for testing
Using the tap operator for debugging
Understanding and using RxJS-specific debugging tools
Identifying common RxJS errors
Debugging memory leaks caused by Observables
Designing complex Observable chains
Combining multiple operators to create complex behaviors
Managing state in a reactive application
Implementing complex backpressure strategies
Understanding the performance implications of various operators
Optimizing subscription management
Reducing unnecessary computations in an Observable chain
Benchmarking and profiling RxJS code
Understanding marble syntax
Writing synchronous tests using marbles
Writing asynchronous tests using marbles
Debugging marble tests
Understanding the internal architecture of RxJS
Knowing how operators are implemented internally
Understanding how error handling works internally
Understanding how schedulers work internally
Familiarity with the RxJS codebase
Understanding the contribution guidelines of RxJS
Ability to write tests for new features or bug fixes
Experience with Git and GitHub for version control and collaboration
Ability to explain complex RxJS concepts in simple terms
Experience creating educational content (blogs, videos, tutorials) about RxJS
Experience mentoring or coaching others in RxJS
Keeping up-to-date with the latest changes in RxJS
Experience with application design patterns using RxJS
Understanding of how to structure an RxJS project
Knowledge of performance considerations when using RxJS at scale
Experience integrating RxJS with other libraries and frameworks
Tech Experts

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