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I am an undergraduate in computer science. (3rd Year)
Then, later, for back-end programming languages, Rust seems like your best bet. Its pros: - it's satisfying to work with (after the learning curve) - it's got potential to grow big in the next year (also with better paying jobs) - it's super versatile (you can do high-perf system stuff, graphics, ffi, as well as your classic api server) It comes with a few cons though: - it's harder to learn (expect to put in years) - the freelancing options are virtually non-existent (and I would expect them to stay limited, as rust is better for long-term software than prototypes)
And if you want to go with python as a secondary tool then i suggest you to learn a python framework (Flask,Django).
Flutter is good for everything and it is getting better as I am speaking. Flutter Web is almost ready for production and I have made 2 complex working websites already.
From a management and hiring perspective, I recommend Flutter (Dart). It provides native solutions to both mobile platform ( (Android and IOS) while having the same knowledge. Hiring managers look at this as an advantage since a developer can provide solutions for both platforms whit the same knowledge. The Flutter framework is growing and there is a lot of resources to ground your knowledge and start experimenting. Dart is also a great language that covers most E2E necessities, so again, no further need of learning one language for FE and another for BE and services. It is my belief that Dart will surpass Kotlin soon, and will leverage to Python and Java in the upcoming year.
Well. Flutter is just a Framework (just like Django btw.) and it uses Dart as a programming language. Django is kind of solving a different problem than Dart. Dart is intened for use in Front End Applications and Django is a Framework for Back-End Web Development.
So if you want to program Flutter Apps (although i wouldn't recommend it for any serious web development yet since Flutter web isn't very mature yet) i would recommend you just lern Dart.
If you are interested in Flutter, learn it on your own time, parallel to the course. No matter what order you do them, eventually you will end up learning them all anyway ;-)
We are converting AWS Lambdas from Java due to excessive cold start times. Usage: These lambdas handle XML and JSON payloads, they use s3, API Gateway, RDS, DynamoDB, and external API's. Most of our developers are only experienced in java. These three languages (Go, Node.js, and Python) were discussed, but no consensus has been reached yet.
I've worked with all three of these languages and also with Java developers converting to these languages and far and away Go is the easier one to convert to. With the improved cold-start times and the ease of conversion for a Java developer, it is a no-brainer for me.
The hardest part of the conversion though is going to be the lack of traditional Classes so you have to be mindful of that, but Go Structs and interfaces tend to make up for what is lost there.
Full Disclosure: I'm a 95% Go convert (from Python) at this point in time.
Go would provide the easiest transition for Java programmers -- its IDE/tooling is second to none (just install Goland) and the deploy/distribution story is extremely clean and lends itself to work well in lambda: single, static binaries with quick startup. No need to set up a full environment or package dependencies on your lambda AMIs, just copy a file.
So I'd agree, on the strength of AWS Lambda support and the solid performance of Go, it seems like your best choice here for Lambdas (and I'm going to need to consider that myself going forward... pardon the pun).
Telegram Messenger has frameworks for most known languages, which makes easier for anyone to integrate with them. I started with Golang and soon found that those frameworks are not up to date, not to mention my experience testing on Golang is also mixed due to how their testing tool works. The natural runner-up was JS, which I'm ditching in favor of TS to make a strongly typed code, proper tests and documentation for broader usage. TypeScript allows fast prototyping and can prevent problems during code phase, given that your IDE of choice has support for a language server, and build phase. Pairing it with lint tools also allows honing code before it even hits the repositories.
In 2015 as Xelex Digital was paving a new technology path, moving from ASP.NET web services and web applications, we knew that we wanted to move to a more modular decoupled base of applications centered around REST APIs.
To that end we spent several months studying API design patterns and decided to use our own adaptation of CRUD, specifically a SCRUD pattern that elevates query params to a more central role via the Search action.
Once we nailed down the API design pattern it was time to decide what language(s) our new APIs would be built upon. Our team has always been driven by the right tool for the job rather than what we know best. That said, in balancing practicality we chose to focus on 3 options that our team had deep experience with and knew the pros and cons of.
That left us with two options. We went a very unconventional route for deciding between the two. We built MVP APIs on both. The interfaces were identical and interchangeable. What we found was easily quantifiable differences.
We were able to iterate on our Node based APIs much more rapidly than we were our C# APIs. For us this was owed to the community coupled with the extremely dynamic nature of JS. There were tradeoffs we considered, latency was (acceptably) higher on requests to our Node APIs. No strong types to protect us from ourselves, but we've rarely found that to be an issue.
As such we decided to commit resources to our Node APIs and push it out as the core brain of our new system. We haven't looked back since. It has consistently met our needs, scaling with us, getting better with time as continually pour into and expand our capabilities.
I will not describe this tool a lot here, because it's already good done by author on github
I just want to mention that this tool wrap up all immediately-invoked functions or likely-to-be-invoked functions in parentheses what is do a great optimization a
The performance of application where I've introduced
optimize-js improved on 20% in a common (tested in
- Clarification on Readme to the optimize-js
- Some of Nolan thoughts on the virtues of compile-time optimizations can be found in "Parens and Performance" – counterpost
Is it maintaining now? - Unfortunately, no (but feel free to send PR)
Here are all tools and skills you need to have for being among to world's top Full Stack Developers Reviews, critics and suggestions are most welcomed!
- HTML and CSS
- Semantic HTML5 elements
- Basic CSS (Positioning, Box Models etc)
- Flexbox & CSS Grid
- CSS Variables (Custom Properties)
- Browser Dev Tools
- Responsive Layout • Set Viewpoint • Fluid Widths • Media Queries • rem over px • Mobile first, stacked columns
- Deployment • Namecheap, google domains • FTP, secure FTP • Inmotion, netlify, github
- DOM manipulations and events
- Build Basic Sites
- Build UI Layouts
- Add dynamic functionality
Deploy and maintain websites
HTML and CSS frameworks - Bootstrap / Materialize / Bulma
Basic Command Line
- Topics : Immutable State, Store, Reducers, Mutation, Getters, Actions, Observables
- Tools : Redux, Apollo, VueX, NgRx
- Build incredible front-end applications
- Smooth and steady front-end workflow
- Work well with team and fluent with git
Connect with background API and work with data
Server Side Language
- Language :
- Nodejs - Express, Koa
- PHP - Laravel
- C# - ASP.NET
- Python - Django, Flask
- Topics : Basic syntax, structure and workflow, package management, HTTP and Routing
- Language :
- Relational Database : MySQL, PostGreSQL
- Cloud : Firebase, AWS, Azure
- Lightweight - SQLite
Server Rendered Pages :
- Angular Universal
Content Management System
- PHP : WordPress
- JS : Ghost
- Python : Mezzazine
- .NET : Piranha
- Digital Ocean
- Setup Full Stack dev environments and workflows
- Build back-end APIs & micro services
- Work with databases
- Construct full stack apps
- Deploy to the cloud
Switching to Mobile Development : 1. React Native 2. NativeScript 3. Ionic 4. Flutter 5. Xamarin
Desktop Apps : 1. Electron 2. GraphQL 3. Apollo 4. TypeScript
Lastly, Serverless Architecture
Websocket is trending this year, but there is another technology similar with Websocket (WS) is Server Sent Event (SSE). Those method have used similar Content-type, SSE is used to text/event-stream and WS is used to binary or text/octet-stream.
The different both of those method is sent. WS is an undirectional sending data both of client and server and SSE is whatever data on server will be push to client.
- Can be used on frontend/backend1.6K
- It's everywhere1.5K
- Lots of great frameworks1.2K
- Light weight741
- You can't get a device today that doesn't run js391
- Non-blocking i/o286
- Extended functionality to web pages54
- Relatively easy language48
- Executed on the client side45
- Relatively fast to the end user29
- Functional programming20
- Its everywhere11
- Setup is easy11
- Because I love functions10
- Like it or not, JS is part of the web standard9
- Expansive community8
- Can be used in backend, frontend and DB8
- Most Popular Language in the World7
- For the good parts7
- No need to use PHP7
- Future Language of The Web7
- Everyone use it7
- Easy to hire developers7
- Can be used both as frontend and backend as well7
- Supports lambdas and closures6
- Photoshop has 3 JS runtimes built in6
- Love-hate relationship6
- Popularized Class-Less Architecture & Lambdas6
- Agile, packages simple to use6
- Evolution of C6
- It's fun5
- Its fun and fast5
- Hard not to use5
- 1.6K Can be used on frontend/backend5
- Client side JS uses the visitors CPU to save Server Res5
- It let's me use Babel & Typescript5
- Can be used on frontend/backend/Mobile/create PRO Ui5
- Easy to make something5
- Scope manipulation4
- Stockholm Syndrome4
- Client processing4
- What to add4
- Function expressions are useful for callbacks4
- Promise relationship4
- Only Programming language on browser3
- Because it is so simple and lightweight3
- Easy to understand0
Pros of JSTL
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- A constant moving target, too much churn22
- Horribly inconsistent20
- No ability to monitor memory utilitization8
- Shows Zero output in case of ANY error7
- Can be ugly6
- Thinks strange results are better than errors6
- No GitHub3
Cons of JSTL
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