MATLAB vs R Language vs Swift

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MATLAB

1.1K
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R Language

3.8K
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Swift

21.1K
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Advice on MATLAB, R Language, and Swift
Needs advice
on
JavaScriptJavaScriptReactReact
and
SwiftSwift

Hey guys, I learned the basics (OOP, data structures & some algorithms) with Python, but now I want to learn iOS development. I am considering to learn Swift, but I am afraid how the native mobile development will die out because of the cross-platform frameworks and reviews. My idea is to learn web development first and then learn React Native, and after all of that, finally Swift. What do you think about this roadmap? Should I just learn Swift first due to the pros of the native apps?

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Replies (7)
Recommends
on
SwiftSwift

Native apps are not going to die. Especially not Swift because now Swift can be used to develop cross platform macOS and iOS apps due to the new macs having M1 chips.

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Recommends
on
SwiftSwift

If asking about employment opportunities, native will never die out. There will always be opportunity for work in native mobile applications. There are also many advantages of using native over cross platform such as always having access to the latest APIs and developer libraries that may not be available to cross-platform without some native development involved or can wait until someone develops a bridge for you.

If you are asking about what you should develop with first? It really depends. React-Native is great for building proto-types or basic MVP application that doesn't require any of the latest and greatest features Apple has to offer at the moment. But if you're asking what to learn? I would say native will always give you a larger advantage as it will give you a good foundation in mobile development and provide you access to the latest native libraries. It is also a useful skill that can give you an edge in cross-platform mobile like react-native because you will most definitely encounter a situation where you will have to go down to the to native side to extend functionality or utilize APIs that are not yet out of the box.

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Noel Broda
Founder, CEO, CTO at NoFilter · | 4 upvotes · 72.1K views

"Should I just learn Swift first due to the pros of the native apps?". React Native builds Native Apps. Technologies like ionic does NOT build native apps, but React Native does it.

Learning Swift seems to be a really bad idea from my point of view. Learning JavaScript is all what you need. Why? Because then Frontend, Backend, and Mobile Dev, is simple, because it's all JavaScript.

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Recommends
on
SwiftSwift

I would suggest to bet more on Swift! I have developed act in React and Javascript in the past and played around with Swift a little... the performances of native code vs Javascript are way too slow compared to swift native app!

Now even more than ever M1 chip will give a boost, but if it gives a boost to JS it will give a boost also to native apps. I would seriously consider Swift more than Javascript, React or even Electron!

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The decision comes down to your goals and needs.

If you want to be able to create any kind of iOS app, simple or complex, learn Swift. It's indispensable if you're building specialised apps like video editing, augmented reality, machine learning or anything that uses iOS-specific APIs such as App Clips.

But if you just want to create apps that make HTTP requests and display static content such as text or basic video and music, React Native would do just fine, and you can publish the same code to Android. This is a no-brainer choice if you're on a low budget.

And if you know both, you can use both in the same app. You can add React Native screens or components inside a Swift app.

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Carlos Iglesias
Recommends

Mobile Native Development Apps will never die. Cross Plataform like React Native only exists to save time and costs for startups mainly, which is extraordinary, and indispensable often of course. But when the App get popular enough, it will probably will move to Native Development. Several improvements.

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Recommends
on
JavaScriptJavaScriptReactReact

Less than 20% of the market is IOS, the rest is Android. Any developer must produce for Android and maybe support IOS. If you prototype on IOS you have to restart again for Android. React and JavaScript will run on IOS.

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Decisions about MATLAB, R Language, and Swift
Ismael Ghanim
Senior Mobile Engineer at Homecoming · | 5 upvotes · 70.6K views

We chose React Native over native Android and iOS development because of React Native's cross-platform capabilities. React Native has really matured over the years, developing a native feel, with simple and intuitive APIs. The community is also huge, filling in any gaps in the default APIs. These are also the reasons why we didn't choose other hybrid mobile tools. Largely, other hybrid mobile tools don't have the same mobile feel and close connection to the underlying mobile APIs.

At a larger scale, the control that native development offers beats React Native's simplicity. However, at this early stage, it's worth the trade-off. Maintaining two mobile teams and two mobile apps, as we iterate the product rapidly would not be practical. Plus, there is always the escape hatch of native modules if more control is needed.

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Gabor Galazzo

As a startup, we need the maximum flexibility and the ability to reach our customers in a more suitable way. So a hybrid application approach is the best because it allows you to develop a cross-platform application in a unique codebase. The choice behind Ionic is Angular, I think that angular is the best framework to develop a complex application that needs a lot of service interaction, its modularity forces you (the developer) to write the code in the correct way, so it can be maintainable and reusable.

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Lucas Litton
Founder & CEO at Macombey · | 7 upvotes · 179.3K views

Expo was a tool Macombey really wanted to utilize from the beginning. I have been working with React Native since 2016 and originally I had to use simulators in Xcode, install pods on top of node packages, configure certificates, and more abundant objectives that take time away from actual development. As a development studio, we have to move quick and get projects to our clients and partners in a matter of months.

Expo made this easy for us. We now have a mobile app for clients to download and test their project on, there is no need to install pods or configure Xcode, and development is super fast and reliable now.

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Noel Broda
Founder, CEO, CTO at NoFilter · | 5 upvotes · 227.6K views

1 code deploys for both: Android and iOS. There is a huge community behind React Native. And one of the best things is Expo. Expo uses React Native to make everything even more and more simple. Awesome technologies. Some other important thing is that while using React Native, you are reusing all JavaScript knowledge you have in your team. You can move easily a frontend dev to develop mobile applications.

A huge PRO of Expo, is that it includes a full building process. You run 1 line in the terminal, and 10 minutes after you have 2 builds done. Double check EAS Expo.

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Pros of MATLAB
Pros of R Language
Pros of Swift
  • 20
    Simulink
  • 5
    Model based software development
  • 5
    Functions, statements, plots, directory navigation easy
  • 3
    S-Functions
  • 2
    REPL
  • 1
    Simple variabel control
  • 1
    Solve invertible matrix
  • 84
    Data analysis
  • 63
    Graphics and data visualization
  • 54
    Free
  • 45
    Great community
  • 38
    Flexible statistical analysis toolkit
  • 27
    Easy packages setup
  • 27
    Access to powerful, cutting-edge analytics
  • 18
    Interactive
  • 13
    R Studio IDE
  • 9
    Hacky
  • 7
    Shiny apps
  • 6
    Shiny interactive plots
  • 6
    Preferred Medium
  • 5
    Automated data reports
  • 4
    Cutting-edge machine learning straight from researchers
  • 3
    Machine Learning
  • 2
    Graphical visualization
  • 1
    Flexible Syntax
  • 259
    Ios
  • 180
    Elegant
  • 126
    Not Objective-C
  • 107
    Backed by apple
  • 93
    Type inference
  • 61
    Generics
  • 54
    Playgrounds
  • 49
    Semicolon free
  • 38
    OSX
  • 36
    Tuples offer compound variables
  • 24
    Clean Syntax
  • 24
    Easy to learn
  • 22
    Open Source
  • 21
    Beautiful Code
  • 20
    Functional
  • 12
    Dynamic
  • 12
    Linux
  • 11
    Protocol-oriented programming
  • 10
    Promotes safe, readable code
  • 9
    No S-l-o-w JVM
  • 8
    Explicit optionals
  • 7
    Storyboard designer
  • 6
    Optionals
  • 6
    Type safety
  • 5
    Super addicting language, great people, open, elegant
  • 5
    Best UI concept
  • 4
    Its friendly
  • 4
    Highly Readable codes
  • 4
    Fail-safe
  • 4
    Powerful
  • 4
    Faster and looks better
  • 4
    Swift is faster than Objective-C
  • 4
    Feels like a better C++
  • 3
    Easy to learn and work
  • 3
    Much more fun
  • 3
    Protocol extensions
  • 3
    Native
  • 3
    Its fun and damn fast
  • 3
    Strong Type safety
  • 3
    Easy to Maintain
  • 2
    Protocol as type
  • 2
    All Cons C# and Java Swift Already has
  • 2
    Esay
  • 2
    MacOS
  • 2
    Type Safe
  • 2
    Protocol oriented programming
  • 1
    Can interface with C easily
  • 1
    Actually don't have to own a mac
  • 1
    Free from Memory Leak
  • 1
    Swift is easier to understand for non-iOS developers.
  • 1
    Numbers with underbar
  • 1
    Optional chain
  • 1
    Great for Multi-Threaded Programming
  • 1
    Runs Python 8 times faster
  • 1
    Objec

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Cons of MATLAB
Cons of R Language
Cons of Swift
  • 2
    Parameter-value pairs syntax to pass arguments clunky
  • 2
    Doesn't allow unpacking tuples/arguments lists with *
  • 2
    Does not support named function arguments
  • 6
    Very messy syntax
  • 4
    Tables must fit in RAM
  • 3
    Arrays indices start with 1
  • 2
    Messy syntax for string concatenation
  • 2
    No push command for vectors/lists
  • 1
    Messy character encoding
  • 0
    Poor syntax for classes
  • 0
    Messy syntax for array/vector combination
  • 5
    Must own a mac
  • 2
    Memory leaks are not uncommon
  • 1
    Very irritatingly picky about things that’s
  • 1
    Complicated process for exporting modules
  • 1
    Its classes compile to roughly 300 lines of assembly
  • 1
    Is a lot more effort than lua to make simple functions
  • 0
    Overly complex options makes it easy to create bad code

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What is MATLAB?

Using MATLAB, you can analyze data, develop algorithms, and create models and applications. The language, tools, and built-in math functions enable you to explore multiple approaches and reach a solution faster than with spreadsheets or traditional programming languages, such as C/C++ or Java.

What is R Language?

R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, ...) and graphical techniques, and is highly extensible.

What is Swift?

Writing code is interactive and fun, the syntax is concise yet expressive, and apps run lightning-fast. Swift is ready for your next iOS and OS X project — or for addition into your current app — because Swift code works side-by-side with Objective-C.

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Aug 28 2019 at 3:10AM

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What are some alternatives to MATLAB, R Language, and Swift?
NumPy
Besides its obvious scientific uses, NumPy can also be used as an efficient multi-dimensional container of generic data. Arbitrary data-types can be defined. This allows NumPy to seamlessly and speedily integrate with a wide variety of databases.
Octave
It is software featuring a high-level programming language, primarily intended for numerical computations. Octave helps in solving linear and nonlinear problems numerically, and for performing other numerical experiments using a language that is mostly compatible with MATLAB.
Tableau
Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.
Python
Python is a general purpose programming language created by Guido Van Rossum. Python is most praised for its elegant syntax and readable code, if you are just beginning your programming career python suits you best.
Matplotlib
It is a Python 2D plotting library which produces publication quality figures in a variety of hardcopy formats and interactive environments across platforms. It can be used in Python scripts, the Python and IPython shells, the Jupyter notebook, web application servers, and four graphical user interface toolkits.
See all alternatives