Top Software Programming Languages
Exploring some of the listicles on the web
I’m doing a summer discount deal promotion here to kickstart my own motivation into another gear. If you want to “buy me a cup of coffee”, here is your chance.
On LinkedIn I have an absurdly high audience of software programmers and software engineers. While I don’t personally know how to code, I’ve always been pretty curious about which languages are used for what and in what domain.
I’m definately code curious.
Software development folk can’t ever know too much about all these various tools and languages and I’m going to try to eventually cover these topics better. In a Newsletter, sometimes curation is more informative to your audience than totally original content or analysis.
The world needs software engineers and software developers to build the future. What languages you learn and know will often determine to some extent some of the existing opportunities. For as long as “software is eating the world” there will be a demand for software engineers.
Software Develops in the Great Resignation
Even as we’ve had two consecutive quarters of GPD declines, the labor force is so strong. Enterprise software developers are joining the Great Resignation, as they struggle to keep up with increased business demands and are bogged down by repetitive tasks in the wake of the COVID-19 pandemic, according to a new survey conducted by Salesforce's Mulesoft.
Stress on Software Developers
The top three factors leading to developer stress, according to the survey, were increased workloads and demands from other teams (39%), growing pressure to transform digitally (37%), and the need to constantly learn new skills to adapt to new technologies and approaches (35%).
Need to constantly learn and adapt
I’m curious how software programmers are navigating this bizarre period of the Great Resignation, stocks going down, startups faltering with less funding and less access to capital and the pressures of remote work and life-work balance.
That being said, let’s get into it:
Now let’s just read some generic fun stuff. The ordering of these may also seem somewhat arbitrary, which is okay.
Top Software Programming Languages for Quantum Computing
Quantum programming languages are the foundations to interpret ideas into instructions to be carried out by a quantum computer .
Physicists do tend to code in a lot of programming languages - like Matlab, Fortran, C++ - and getting access to a real quantum computer has historically been difficult. However, cloud quantum computing systems have opened up opportunities for anyone to start working with quantum computers. Python likely remains the best to learn for this.
Quantum macro assembler was published in 2016. It is a kind of low-level language that is specially used for quantum annealing. The significance of QMASM relieves the programmer from having to know system-specific hardware details while still allowing programs to be expressed at a low level of abstraction.
QML was published in 2007, it is a Haskell-like quantum programming language that is based on strict linear logic. It has the capability to integrate reversible and irreversible quantum computations. It is a user interface specification and programming languages that allows developers and designers alike to create highly performant, fluidly animated, and visually appealing applications.
Silq was originally published in 2020. It is a high-level programming language when compared to the QCL and AMASM. It is written in D language, see it on GitHub.
Quantum computing language is one of the first implemented quantum programming languages that resembles C language in regards to syntax and data types. It is usually used for writing programs for quantum computers. As every quantum machine has to be controlled by classical devices, the pre-existing quantum programming languages incorporate classical control structures like loops and conditional execution and allow them to operate on classical and quantum data.
5. QFC and QPL
Semantically QFC and QPL are equivalent. However, in QFC, quantum programs are represented using flowchart syntax, but in the QPL syntactic structure of quantum, programs are represented using textual representations.
6. Quantum Lambda Calculus
Quantum Lambda Calculus: it is based on classical lambda calculus introduced in 1930 and was first defined for quantum calculations in 1996. It uses high-order functions (λx.x^3) Therefore, it is stronger than the standard quantum computational models, such as quantum Turing machine or the quantum circuit model.
Top Software Programming Languages for Web 3
Unlike Solidity, Rust is not crypto specific, making it accessible to the existing pool of developers. It is used by popular protocols such as NEAR, Compound and Solana. Like Solidity, Rust can be used to write smart contracts but is also popular in the gaming community.
“Solidity has a fantastic user community that supports a number of development tools for application development. Solidity is quickly establishing itself as a leading development language in the Blockchain community.” says Jim Sullivan, author of Programming in Solidity – Your Guide to Building Smart Contracts.
Although it is mostly associated with Ethereum, Solidity is growing in popularity, and it is positioned to dominate blockchain development. It gives users the ability to create quality decentralized applications. Several other blockchains such as Hyperledger Fabric support Solidity.
Python has been ranked as the most in-demand coding language for 2022, according to CodingNomads, which analyzed thousands of job postings in the U.S. and Europe. Renowned for its simplicity, it has a large community of followers worldwide.
Many blockchain developers opt for a hybrid approach when creating bespoke applications that have different requirements. This action may lead to Python being used as part of the overall development and another language used for the core architecture of a project.
Python is an open-source language that supports object-oriented programming. The code is said to be beginner friendly –– it also offers a huge library of assets and can be typed dynamically so that the user does not have to remember the complete architecture of the system they are building. This language has been used to create the LUNA blockchain, to create contracts for NEO and to develop smart contracts for Hyperledger.
Substrate is a project born from the Polkadot blockchain. It is a completely free- and open-source project built using Rust programming language. The development of substrate happens through public channels like Github and Riot with contributors across a wide spectrum of projects. It is designed for creating fast and inherently safe software with a firm focus on popularizing a new decentralized internet infrastructure.
Substrate connects applications on public blockchains as well as creates bridges to other networks. When Polkadot is launched, you can feel secure that the technology that backs your blockchain is the same technology that powers multiple other production-level blockchains.
Greg Zaytsec and Alexander Mitrovich, founders of Unique Network believe that “flexibility is the strongest side of Substrate –– it allows unmatched customization that is needed to handle non-fungible asset classes on-chain. We used it to create the next generation NFT chain, capable of supporting innovative use cases and liberating NFTs from the collectables.”
Many operating systems and games use C++ as their base language, making it popular in developer circles globally. With its long-standing reputation, it has multiple low- and high-level tools, plus extended versions that can be used. C++ is deemed to be a highly efficient and optimizable language suitable for blockchain transactions that require speed. As C++ is one of the oldest languages, it may be easier for developers to adopt. Significant blockchains like Bitcoin, Litecoin, Stellar and Monero use C++.
The principles of this language complement those of many blockchain projects in that the data is securely hidden and extra layers of security prevent data alteration.
Top Undervalued Programming Languages that Pay Well
I like the weird ones:
Haskell is a general-purpose, statically-typed, purely functional programming language with type inference and lazy evaluation. Designed for teaching, research and industrial applications, Haskell has pioneered a number of programming language features such as type classes, which enable type-safe operator overloading.
Sponsored by Mozilla Research, Rust focuses on “type safety, memory safety, concurrency, and performance.” You can use Rust for distributed client/server applications and reliable system-level programming. Perhaps its newness is why fewer people queuing up to learn it. Going by this post, it doesn’t look like Rust will be on this list for long. Rust seems to have a much brighter future. It is one of the most undervalued programming languages that actually pays well.
Erlang is a programming language used to build massively scalable soft real-time systems with requirements on high availability. Some of its uses are in telecoms, banking, e-commerce, computer telephony, and instant messaging. Although Erlang is certainly useful, it’s less accessible for beginners. The steeper learning curve can be discouraging for developers looking for a side project or for beginners who might prefer an easier-to-learn language. It is one of the most undervalued programming languages that actually pays well.
Ada is an internationally standardized, general-purpose programming language used in a wide variety of applications — from missile control to payroll processing to air traffic control. Ada is a state-of-the art programming language that development teams worldwide are using for critical software: from microkernels and small-footprint, real-time embedded systems to large-scale enterprise applications, and everything in between. It is one of the most undervalued programming languages that actually pays well.
Top Software Languages used by GitHub Contributors
C++ is the enhanced version of C and is one of the most popular languages among Github contributors. It can create operating systems, games, and even more, which is why it is one of the most-used languages that has seen an increase in its performance ranking since last year.
Kotlin is a general-purpose programming language that is extremely interoperable with Java and supports functional programming languages. The language is extensively used for Android applications, web, desktop, and server-side application development. Kotlin was built to be a more prominent option than Java.
Ruby was initially designed to have a more human-friendly syntax while still being flexible from the object-oriented architecture perspective, supporting procedural and functional programming notation. The facilities provided by this programming language have enabled several of its users to tout it as beginner-friendly.
Anyways guys I hope you found this issue mildly informative or amusing.
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