C vs Swift: What are the differences?
C: One of the most widely used programming languages of all time. ; Swift: An innovative new programming language for Cocoa and Cocoa Touch. 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.
C and Swift can be categorized as "Languages" tools.
"Performance" is the top reason why over 52 developers like C, while over 241 developers mention "Ios" as the leading cause for choosing Swift.
Swift is an open source tool with 48.4K GitHub stars and 7.76K GitHub forks. Here's a link to Swift's open source repository on GitHub.
Uber Technologies, 9GAG, and Asana are some of the popular companies that use Swift, whereas C is used by AdRoll, Twitch, and Redis Labs. Swift has a broader approval, being mentioned in 993 company stacks & 541 developers stacks; compared to C, which is listed in 64 company stacks and 251 developer stacks.
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?
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.
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.
"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.
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.
Python has become the most popular language for machine learning right now since almost all machine learning tools provide service for this language, and it is really to use since it has many build-in objects like Hashtable. In C, you need to implement everything by yourself.
C++ is one of the most popular programming languages in graphics. It has many fancy libraries like eigen to help us process matrix. I have many previous projects about graphics based on C++ and this time, we also need to deal with graphics since we need to analyze movements of the human body. C++ has much more advantages than Java. C++ uses only compiler, whereas Java uses compiler and interpreter in both. C++ supports both operator overloading and method overloading whereas Java only supports method overloading. C++ supports manual object management with the help of new and delete keywords whereas Java has built-in automatic garbage collection.
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.
As a personal research project I wanted to add post-quantum crypto KEM (key encapsulation) algorithms and new symmetric crypto session algorithms to openssh. I found the openssh code and its channel/context management extremely complex.
Concurrently, I was learning Go. It occurred to me that Go's excellent standard library, including crypto libraries, plus its much safer memory model and string/buffer handling would be better suited to a secure remote shell solution. So I started from scratch, writing a clean-room Go-based solution, without regard for ssh compatibility. Interactive and token-based login, secure copy and tunnels.
Of course, it needs a proper security audit for side channel attacks, protocol vulnerabilities and so on -- but I was impressed by how much simpler a client-server application with crypto and complex terminal handling was in Go.
$ sloc openssh-portable Languages Files Code Comment Blank Total CodeLns Total 502 112982 14327 15705 143014 100.0% C 389 105938 13349 14416 133703 93.5% Shell 92 6118 937 1129 8184 5.7% Make 16 468 37 131 636 0.4% AWK 1 363 0 7 370 0.3% C++ 3 79 4 18 101 0.1% Conf 1 16 0 4 20 0.0% $ sloc xs Languages Files Code Comment Blank Total CodeLns Total 34 3658 1231 655 5544 100.0% Go 19 3230 1199 507 4936 89.0% Markdown 2 181 0 76 257 4.6% Make 7 148 4 50 202 3.6% YAML 1 39 0 5 44 0.8% Text 1 30 0 7 37 0.7% Modula 1 16 0 2 18 0.3% Shell 3 14 28 8 50 0.9%
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