#question‚ are all golang programmers like this?

[wuggen]

"No, we don't need to worry about leaking memory right now", "There's no structure here, just the raw bytes from the client. Just add the endpoint name at the beginning, it's fine", "Yeah we're leaving it to each of the language bindings to parse requests for now, don't worry about it", "If these functions block an async worker thread it'll still work, no worries", "We can worry about synchronizing mutability across the FFI later", and other insane things you might hear from your boss as he casually rakes in weeks to months worth of technical debt over the course of a few days

[aryacollegeofengineering]

What programming language should you use for blockchain development?

Programming language for blockchain development

Best Engineering College in Rajasthan has many language courses, so blockchain development is the most common question many businesses ask themselves when deciding which programming language to adopt for blockchain development projects, Also Blockchain is a new technology that has gained popularity in recent years and The technology allows fast and easy transactions between various parties on the internet without third-party intermediaries.

So let's Start! The Best Blockchain Programming Languages

1. Solidity

As we all know it is a new and exciting blockchain programming language gaining popularity over the past few years. Especially with its ability to develop Apps, many businesses are choosing this programming language, also it is a high-level programming language like JavaScript, C++, and Python Like other common languages.

Key Features

Solidity is developer friendliness.

This can be used for programming smart contracts on other platforms like Monax.

It also has accessibility the JavaScript infrastructures, debuggers, and other tools.

Statically typed programming.

Inheritance properties in smart contracts.

It gives you precise accuracy

Examples of blockchain projects Solidity:

Ethereum

Chainlink

Sushiswap

Compound Protocol

2. Java

It is one of the best blockchain programming languages for smart contracts also It is classic programming, and developers employ it to develop countless applications and games it is used in one way or another in almost all web systems, leaving developers free to manage app logic and dodging the need to focus on integration so It offers programmers the flexibility to write code that can be used on other systems as well, also as we all know Java's excellent code portability is the primary reason why several blockchain companies use Java to develop their applications.

Key Features

The facility of memory cleaning.

Availability of extensive libraries.

Examples of blockchain projects Java:

NEM

IOTA

Ethereum

NEO

Hyperledger

Fabric

3. Python

Python is a preferred language for developing smart contracts and blockchain-based projects also It's often used in crypto exchange development, even though it can be easily extended to work with other cryptocurrencies as well As per TIOBE and PYPL ratings, Python has seized the opportunity to be in the top five blockchain development languages in 2023, so it can be robust and versatile language that can reduce development time.

Key Features:

Python gives access to dynamic architecture.

Language for base and scripting approaches.

It offers open-source support.

In Python, blockchain coding is efficient for prototyping.

Examples of blockchain projects Python:

Hyperledger

Fabric

Ethereum

NEO

Steemit

4. Golang

GoLang is a compiled multithreaded programming language developed internally at Google also It allows for different processes to run simultaneously, which means that it can handle multiple parts of blockchain concurrently and effectively and Extremely fast with accessible maintenance features makes Go the perfect choice when distributing your App on Ethereum's network as well.

Key Features

Golang is user-friendly, scalable, and offers high speed.

C++, Java, and Python are reliable and fun languages for development

Examples of blockchain projects Golang:

GoChain

Dero

Loom Network

Ethereum

Hyperledger Fabric

5. C++

Top Colleges of Engineering in Jaipur Rajasthan has good faculty for this language, It is one of the top languages for building blockchain apps also It's easy to manipulate blocks and chains with this code, making C++ a perfect choice when you need complete control over your system resources and The power of C++ lies in its flexibility and ease of use also It provides a wide range of control over how you want to handle your code, so giving full access or just some limited aspects that suit your needs so It is a crucial programming language that developers used to code bitcoins.

Key Features

It has efficient CPU management and memory control.

Can move semantics for copying data effectively.

Examples of blockchain projects C++

Monero

Ripple

EOS

Stellar

Litecoin

Conclusion

Best Btech College in Jaipur says It was all about the best blockchain development languages ruling over the world of cryptocurrencies and smart contracts in 2023 also there are several different programming languages for developing blockchain-based products, also there are no clear winners among them, and it can be difficult to say which one is best in each situation as they all have their advantages depending on the project you're working on, So you need to pick any of the languages as per your project's requirements.

Source: Click here

[educationtech]

Top Programming Language for Blockchain Development - ACEIT

What programming language should you use for blockchain development?

Best Engineering Colleges in Jaipur has many language courses, so blockchain development is the most common question many businesses ask themselves when deciding which programming language to adopt for blockchain development projects, Also Blockchain is a new technology that has gained popularity in recent years and The technology allows fast and easy transactions between various parties on the internet without third-party intermediaries.

So let's Start! The Best Blockchain Programming Languages

1. Solidity

As we all know it is a new and exciting blockchain programming language gaining popularity over the past few years. Especially with its ability to develop Apps, many businesses are choosing this programming language, also it is a high-level programming language like JavaScript, C++, and Python Like other common languages.

2. Java

It is one of the best blockchain programming languages for smart contracts also It is classic programming, and developers employ it to develop countless applications and games it is used in one way or another in almost all web systems, leaving developers free to manage app logic and dodging the need to focus on integration so It offers programmers the flexibility to write code that can be used on other systems as well, also as we all know Java's excellent code portability is the primary reason why several blockchain companies use Java to develop their applications.

3. Python

Python is a preferred language for developing smart contracts and blockchain-based projects also It's often used in crypto exchange development, even though it can be easily extended to work with other cryptocurrencies as well As per TIOBE and PYPL ratings, Python has seized the opportunity to be in the top five blockchain development languages in 2023, so it can be robust and versatile language that can reduce development time.

4. Golang

GoLang is a compiled multithreaded programming language developed internally at Google also It allows for different processes to run simultaneously, which means that it can handle multiple parts of blockchain concurrently and effectively and Extremely fast with accessible maintenance features makes Go the perfect choice when distributing your App on Ethereum's network as well.

5. C++

Top Colleges of Engineering in Jaipur Rajasthan has good faculty for this language, It is one of the top languages for building blockchain apps also It's easy to manipulate blocks and chains with this code, making C++ a perfect choice when you need complete control over your system resources and The power of C++ lies in its flexibility and ease of use also It provides a wide range of control over how you want to handle your code, so giving full access or just some limited aspects that suit your needs so It is a crucial programming language that developers used to code bitcoins.

Conclusion

Btech Colleges of Engineering in Jaipur Rajasthan says It was all about the best blockchain development languages ruling over the world of cryptocurrencies and smart contracts in 2023 also there are several different programming languages for developing blockchain-based products, also there are no clear winners among them, and it can be difficult to say which one is best in each situation as they all have their advantages depending on the project you're working on, So you need to pick any of the languages as per your project's requirements.

[aryacollegejp]

Programming language for blockchain development

What programming language should you use for blockchain development? 

Best Engineering Colleges in Jaipur Rajasthan has many language courses, so blockchain development is the most common question many businesses ask themselves when deciding which programming language to adopt for blockchain development projects, Also Blockchain is a new technology that has gained popularity in recent years and The technology allows fast and easy transactions between various parties on the internet without third-party intermediaries.

So let's Start! The Best Blockchain Programming Languages 

1. Solidity

As we all know it is a new and exciting blockchain programming language gaining popularity over the past few years. Especially with its ability to develop Apps, many businesses are choosing this programming language, also it is a high-level programming language like JavaScript, C++, and Python Like other common languages.

 Key Features 

·Solidity is developer friendliness. 

·This can be used for programming smart contracts on other platforms like Monax.

·It also has accessibility the JavaScript infrastructures, debuggers, and other tools.

·Statically typed programming. 

·Inheritance properties in smart contracts. 

·It gives you precise accuracy

Examples of blockchain projects Solidity:

·Ethereum 

·Chainlink 

·Sushiswap 

·Compound Protocol

Java 

It is one of the best blockchain programming languages for smart contracts also It is classic programming, and developers employ it to develop countless applications and games it is used in one way or another in almost all web systems, leaving developers free to manage app logic and dodging the need to focus on integration so It offers programmers the flexibility to write code that can be used on other systems as well, also as we all know Java's excellent code portability is the primary reason why several blockchain companies use Java to develop their applications.

Key Features 

·The facility of memory cleaning. 

·Availability of extensive libraries. 

Examples of blockchain projects Java: 

·NEM 

·IOTA 

·Ethereum

·NEO 

·Hyperledger 

·Fabric

Python

Python is a preferred language for developing smart contracts and blockchain-based projects also It's often used in crypto exchange development, even though it can be easily extended to work with other cryptocurrencies as well As per TIOBE and PYPL ratings, Python has seized the opportunity to be in the top five blockchain development languages in 2023, so it can be robust and versatile language that can reduce development time.

Key Features: 

·Python gives access to dynamic architecture. 

·Language for base and scripting approaches. 

·It offers open-source support.

·In Python, blockchain coding is efficient for prototyping. 

Examples of blockchain projects Python: 

·Hyperledger 

·Fabric 

·Ethereum 

·NEO

·Steemit

Golang

GoLang is a compiled multithreaded programming language developed internally at Google also It allows for different processes to run simultaneously, which means that it can handle multiple parts of blockchain concurrently and effectively and Extremely fast with accessible maintenance features makes Go the perfect choice when distributing your App on Ethereum's network as well.

Key Features

Golang is user-friendly, scalable, and offers high speed. 

C++, Java, and Python are reliable and fun languages for development

Examples of blockchain projects Golang: 

·GoChain 

·Dero 

·Loom Network 

·Ethereum 

·Hyperledger Fabric

C++

Top Colleges of Engineering in Jaipur Rajasthan has good faculty for this language, It is one of the top languages for building blockchain apps also It's easy to manipulate blocks and chains with this code, making C++ a perfect choice when you need complete control over your system resources and The power of C++ lies in its flexibility and ease of use also It provides a wide range of control over how you want to handle your code, so giving full access or just some limited aspects that suit your needs so It is a crucial programming language that developers used to code bitcoins.

Key Features 

·It has efficient CPU management and memory control. 

·Can move semantics for copying data effectively. 

Examples of blockchain projects C++

·Monero 

·Ripple 

·EOS 

·Stellar 

·Litecoin

Conclusion

Btech Colleges of Engineering in Jaipur Rajasthan says It was all about the best blockchain development languages ruling over the world of cryptocurrencies and smart contracts in 2023 also there are several different programming languages for developing blockchain-based products, also there are no clear winners among them, and it can be difficult to say which one is best in each situation as they all have their advantages depending on the project you're working on, So you need to pick any of the languages as per your project's requirements.

[gayatrisc]

Top Programming Languages to Learn for future

There are many programming languages to learn and each programming language has its own specification for a particular task or application. but for programmers and developers, it is important to know more than one language so that they can choose the right language for particular task.

But the thing is there are many programming languages and it is not possible for a single programmer to learn each in depth. The question is which are the main and important languages that you should learn​?

It’s all depends upon which type of company you want to do the job. For example, if you are interested in doing a job at big banks such as city bank then you should learn Java as it is the best programming language to learn.

If you want to get a Job popular tech companies such as Google, Facebook, or Microsoft then Python and JavaScript will be the best choice than Java

so, here is the list of top programming languages that one should learn to get a good job in the future:

Python

When python was developed in 1990, nobody has predicted that it would become the most popular programming language one day. Currently, Python is recognized as the number one programming language overall.

Python is the high-level language with very easy syntax comes with a set of libraries and great community support? Today python is the most important language used in various areas of software development.

Java

Java is the most widely used language in banking sectors. one of the main reason banks prefers java is it’s concurrency features.so while learning java, make sure you spend a good quality of time learning concurrency in Java.

C/C++

C++ is another major language that is also used in the banking sector and other buy-side firms. It’s mainly used in trading applications where performance is critical. C and C++ both are evergreen languages and everyone learned it in their school or college time but if you want to work on these languages, your school and college study is not enough and you need to learn it deeply.

Best Online Courses in India during Lockdown

Javascript

JavaScript is the number one and popular language of the web. It’s frameworks like jQuery, Angular, and React JS has made JavaScript more and more popular. Since no one can stay away from the web, it’s better to learn JavaScript now. It is also popular for client-side validation.

Golang

This is another programming language one should learn this year. Currently very few developers know this language and it is not much popular but in the future, it is going to be the most demanding language with higher pay scale in the job. It is a little bit hard to learn this language and currently, there are few developers who are master in this language but if you want to secure your future, this is the right time to invest and spend your time in learning Golang.

PHP

If you still think that PHP is dead, then you are definitely wrong. Php is still very much alive and right now fifty percent of internet websites are built using PHP and still, it is good if you invest in learning PHP

from above listed points, we got an idea about top programming languages and this is the right time to learn them for the future. Near learn is the best institute in Bangalore which provides professional training on python and other top courses. If you are interested in learning any of the language or technology, feel free to contact us +91-80-41700110 or visit: www.nearlearn.com

[amit4002020]

Which Career Is More Promising Data Scientist or Software developer?

To know about which career is a more promising data scientist or software developer for that first let’s try to understand the difference between a data scientist and software developer.

Software Developer:

A person who writes the lines of code is usually known as the hardcore computer programmer or software developer.  The design and develop complete software architectures for very complex systems. A typical career path leads them to system technology and product management

Data Scientist:

Data scientists are the ones who solve complex data problems with their solid expertise in certain scientific disciplines. They work with various elements related to mathematics, statistics, computer science, etc.

Basically, they do everything you can imagine in the world of analytics, and much more. They usually also have a doctorate.

To Answer the Question:

You will love it when you have both. A data scientist certainly knows what his backend data architecture should look like. A developer knows how to combine everything with his coding skills.

A data scientist is someone who puts things together so that the product has the greatest benefit for the company. A developer may not have such an experience; he focuses on creating things, not on his analysis.

In the end, it depends on your individual decision and your interest. If you want to design things and create algorithms that have a defined result and you know what to expect, software development is for you. However, if you like the unpredictable, in love with statistics and trends, and have an intrinsic economic intelligence, you're the data scientist the future is looking for.

Although the field of data science is evolving day by day, its importance will never dominate that of software developers, as we will constantly ask them to develop the software that data scientists will work with. And if we add more data, in the end, we will continue to need data scientists to interpret the data and drive business progress.

·         Data scientists write code as a medium to the end, while software developers write code to develop things.

·         Data Science is constitutionally different from software development in that data science is an analytical activity, while software development is significantly higher than traditional engineering as a standard.

·         Data scientists deal with topics such as detecting fraudulent transactions or predicting employees who are destined to leave a company. Software developers can select data scientist models and convert them into fully functional arrangements based on production quality principles. Software developers deal with problems such as creating an algorithm for more efficient operation or creating user interfaces.

Read More:   Top 5 Data Science Trends in 2020

Life of a Data Scientist

Data scientist loves big data. They appreciate a large amount of encrypted data points (unstructured and structured) and use their overwhelming skills in math, statistics and programming to clean them up and organize them. Then they use all of their analytical skills - industry knowledge, contextual knowledge, the sarcasm of real hypotheses - to uncover hidden solutions for commercial provocation.

Life of a Software Developer:

The role of a software developer is to identify, design, install and test a software system that he has developed for a company from scratch. This can range from the creation of internal programs that allow companies to work more efficiently to the production of systems that can be sold on the open market.

Can the software developer become a data scientist?

Yes, it is possible. It can be easier for some people than for others. The ease with which you switch from a role as a data scientist to a role as a software developer depends on the type of software you are developing. Most likely, this software developer would require a part-time or full-time education in data science. The fact is that although data science is relatively new, it has been around for a long time. We have used data science since computers were used to predict the weather, the consequences of medical therapies, and the capital and product markets. Therefore, the maximum of these software developers who have developed predictive algorithms using statistical models would be much more suitable for a role as a data scientist than someone who has the only experience in software development.

Becoming a data scientist is a journey. If you are familiar with data analysis tools and languages ​​like SQL, R, Python, SPSS, and SAS, the journey will be noticeably easier. If you have knowledge or expertise in statistics or use statistical models to improve algorithms based on your education or work, it would even be satisfactory. The goal is to summarize your idea in the role of software development that does not resemble the role of a data scientist but obliges you to use statistical models.

If we see all overall in the long run then both fields have their great value in their field.

Conclusion:

I hope you have understood that which career will be better for you that is data science or software development.

Near Learn provides the Best Data Science with Python Training in Bangalore and also provides training on Artificial Intelligence, Machine Learning, Deep Learning, Full-Stack Development, Mean-Stack development, Golang,  React Native and other technologies as well.

[adadevacademy]

Meet Brittany! C3 Adie

1. What were you doing before you became a Software Engineer? I've had lab jobs in an oceanography, genetics and organic geochemistry. I’ve also worked in a library and as a waitress. Most recently I worked for a number of years as a pharmaceutical research chemist. Right before Ada I was at Seattle-based Amgen. 2. Where are you currently working and what do you do? I am a Site Reliability Engineer (SRE) at Uber on the Software Networking team. What an SRE means to me is an engineer who's focused on increasing the robustness of the services they work on, making the inevitable migrations from one technology to the next smooth and seamless (no news is good news). I spend a lot of time thinking about all the ways a new or updated project could break at scale. Our custom layer 7 networking stack is vital for our multitude of microservices to talk to one another reliably, despite inevitable machine and human failures. The Seattle office is great in that my customers are mostly a walk or instant message away.

At present I'm working on rewriting a domain name management service from Python to Golang. We'll get a boost in performance by moving over to Go and a chance to re-architect using the knowledge gained from years in production. Because of this re-write we can add new features and expand older ones. 3. What's your favorite part of your job? Truly my favorite part of the job is my team. I feel super fortunate to have landed this role considering the people I get to work with. They have always been open to sharing their knowledge and time with me whenever I have a question, and I'm afforded the freedom to explore many different topics since our team covers the entire software networking stack, front to back, from Linux all the way up to architecture best practices.  

Second favorite is the fact that I can and am supposed to think critically and question things as an SRE and plan for failure. Failures such as whole hosts breaking, communication between services declining, high request volumes or burst traffic, and whole regions of hosts going offline.

Lastly, I get to connect with broader ranks of exceptional engineering talent within the company and participate in extracurricular events. Recently I had the opportunity to attend Grace Hopper as part of Lady Eng (an employee resource group for women and non-binary engineers). As most readers of this blog may know, Grace Hopper is the world’s largest gathering of women technologists. I had fun getting to know other women from the other Uber offices, and was able to meet fellow engineers from around the world. It was inspiring to see 17,000 people come together under the mission of advancing women in technology. 4. Describe a typical day in your role.  A typical day involves me coming in between 8:30-10am and grabbing some breakfast while reading my emails. Every other day we have a standup where I can address what I'd like to accomplish for the week and identify needs. If I'm on-call I check our dashboards to see the health of the overall system. Perhaps surprisingly a fair amount of my job is communication, so beyond the meetings there are email discussions and documents to write up. When I get a chance I snag a few hopefully uninterrupted hours to code. On top of all of this there are company-wide meetings focused on announcements and new programs, as well as truly inspirational stories of employees’ acts of kindness in response to recent tragedies. We are a global company, and these meetings serve as a good reminder that our engineering work affects individuals around the world in pretty profound ways, like how they get around and make money. 5. Any advice you have for others looking to enter the tech industry as a programmer? The tech space is so large, don't feel as though you need to distance yourself from what you currently enjoy or love. There are developers who create art with code, developers who send rockets into space, developers that are creating the next generation of 'smart clothes,' small and large companies and everything in between. Just because you are entering the tech industry doesn't mean you need to sacrifice who you are.   Some practical advice is when you're looking for a job, if the company has blogs or if executives have recently given interviews, read that stuff to get a sense of the culture and priorities. If you can, talk to the people you'd be working with and see if they can provide what you're looking for in a job and workplace to ensure your success.

[intendstat]

Interesting questions about programming from Quora

Golang

* https://www.quora.com/What-is-the-future-of-Go

* https://www.quora.com/How-fast-is-Golang-compared-to-other-programming-languages

* https://www.quora.com/Why-should-I-switch-from-Python-to-Go-What-are-the-benefits

* https://www.quora.com/Why-is-Go-programming-language-so-popular-Is-it-energy-efficient

* https://www.quora.com/Why-is-Go-glorified-It-seems-like-a-slightly-better-version-of-C-It-doesnt-even-support-generics-yet-people-call-it-flexible-and-compare-it-to-Python

Javascript

* 

https://www.quora.com/What-are-some-examples-of-JavaScript-code-most-of-computer-programmers-write-poorly-What-is-the-better-way-of-doing-it

Python

* https://www.quora.com/What-is-the-most-interesting-feature-in-the-Python-programming-language

* https://www.quora.com/What-can-t-the-Python-language-do

Algorithms and patterns

* https://www.quora.com/What-are-some-of-the-best-algorithms-which-every-good-programmers-should-know

DevOps

* https://www.quora.com/What-should-all-programmers-know-about-Docker

Miscellaneous

* https://www.quora.com/Which-programming-language-according-to-you-is-the-language-of-the-future

* https://www.quora.com/Why-is-functional-programming-faster

* https://www.quora.com/If-Python-is-slow-how-do-YouTube-and-Google-searches-work-extremely-fast

* https://www.quora.com/What-are-your-10-rules-of-being-a-successful-software-developer

* https://www.quora.com/What-s-the-next-field-which-will-boom-after-data-science-AI-revolution

* https://www.quora.com/As-a-software-engineer-what-are-some-tools-you-use-that-save-a-huge-amount-of-your-time

[unixcommerce]

The 15 Highest Paying Programming Languages Right Now, According to Upwork

Independent web, mobile, and software developers with the right programing language skills are doing especially well. According to Upwork, developers with the Top 15 Highest Paying Programming Languages can go after some lucrative jobs as independent professionals.

This despite the current economic conditions around the world brought on by the pandemic. That is because more people are now working remotely with digital technology than ever before. And it is placing a premium on these skill sets.

15 Highest Paid Programming Languages

In the release for the report, Upwork Chief Economist, Adam Ozimek, says tech makes up the largest category on the company’s platform. Adding, “From artificial intelligence to mobile development, these specialized skills are highly sought after and, as a result, command high rates. And with work increasingly going remote, we are already seeing continuous growth in opportunities for skilled, remote tech professionals.”

Based on average hourly freelance rate, these are Upwork’s Top 15 Most Lucrative Programming Languages:

Objective-C – $66

Golang – $64

Windows PowerShell – $62

Excel VBA – $60

Kotlin – $60

NET – $59

Ruby – $59

Java – $58

Swift – $56

C# – $56

NET – $56

C++ – $55

SQL – $54

Python – $53

C – $52

The Top Languages

According to this list Objective-C is currently commanding the highest hourly rate for developers on Upwork. With $66 per hour, this comes out to more than $137,000 annually before taxes. Golang at $64 and Windows PowerShell at $62 round up the top three.

In terms of growth, the biggest gains come from Ruby (127%), Java (127%) and SQL (152%). It is important to know which languages are in demand because you will be using them to create apps companies want. And some languages are better to learn than others depending what field you are looking to go into.

Developer Jobs

A quick look at the different devices you use every day will show you they have different applications. And the applications are most likely written in different languages. As a developer, you can focus or specialize in a language to start creating apps to solve a particular problem.

You can be a software programmer, front or back-end web developer, software developer, solutions architect, or mobile developer.

There are many career paths as a developer, engineer, and programmer. Before you start on your path figure out the segment you want to work in, what languages are most useful and of course start learning.

High-Tech Education without the High Cost

There is no doubt the skills Upwork highlights in its list are lucrative. The question is how to go about learning them without being saddled with a huge debt. The good news is you don’t have to. As a matter of fact, you can learn all the languages on the list and many others for free online.

Just Google free Python, C, Java, or Objective-C language courses, and you will have more than enough choices. The difficulty comes in acquiring the discipline to go through the course and learn the language when it is free.

The fact that it is free stops many people from putting the same effort as for a course they pay for. But if you can overcome this obstacle and finish, you will learn the same language. And eventually, you will also start earning the same amount as you gain more experience.

One of the best free sources for coding is freecodecamp.org. This is a great nonprofit organization with courses on most of the popular languages used today. Their YouTube channel has hours of videos, many of them without any ads.

Whether you choose freeCodeCamp or another source, the point is you have many options for learning the different languages companies use today to develop apps.

Image: Depositphotos.com

This article, “The 15 Highest Paying Programming Languages Right Now, According to Upwork” was first published on Small Business Trends

https://smallbiztrends.com/

The post The 15 Highest Paying Programming Languages Right Now, According to Upwork appeared first on Unix Commerce.

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[silbinarywolf]

Golang Yarns: Unused variables is an error

Hey there friend! In this post, I'm going to tell you about my experiences with unused variables giving a compile error in Golang, from my first impressions to lessons learnt after months of using the language on a hobby project.

Frustration

When I first hit a "declared and not used" error message, my initial reaction was "What flag can I use to turn this dumb 'feature' off?"

After hitting this error message a few times and feeling the frustration of this "unnecessary error", I jumped onto Google to try and understand the reasoning behind this design choice. I discovered at least one reason for this was to stop unnecessary importing of packages, which could lead to unnecessary bloat in your binary size.

When I read this, I felt partially satisifed but... I still felt annoyed by it. It just didn't seem that helpful, especially when you consider that I was simply doing hobby work, I didn't need this particular benefit.

Satisfication

After months of programming in Go for about 20-30 minutes a day on my commute to work, I found with experience that this feature also offers at least two more subtle benefits.

The first is that if you shadow a variable but forget to use it in the shadowed scope, you will get an unused variable error. If you're like me and you have trouble visualizing pseudo-code from plain English text, here's a code sample for clarity:

package main func main() { myVariable := "value" if myVariable != "" { // compile error! "myVariable" isn't used! myVariable := "shadow" } myVariable = "not value!" }

This hidden benefit probably saved me 10-20 minutes of debugging and it came from two seemingly unrelated systems complementing each other.

The second benefit you get is that your code becomes easier to read, both to yourself, others and also you in ~3 months. If your code was recently compiled sucessfully, you now have the guarantee that there are no unused variables in your program. I really love this reduction in noise and I get a warm fuzzy feeling knowing that the compiler isn't doing redundant work.

The Disciplined vs The Nanny State

So I've talked about all the benefits of this feature, but what are the tradeoffs? What are we losing with this feature?

Well... we are potentially losing effeciency if our workflow is to make a big mess and then cleanup our code before committing. I think any kind of writer can attest to the idea that editing as you go isn't the most effiecient way to pump out a book. It's a lot easier to tidy things up and improve concision when you're working with a more complete piece.

A veteran game programmer will find this feature infuriating. After all, this could simply be a warning or be ignored for "dev" builds.

In theory this is a good idea and incredibly easy to implement. However in my experience working in web development, developers tend to do the bare minimum, will ignore warnings and if the codebase got to a point where fixing errors that only happened in "production" mode was too much effort, the developer would most likely just ship "dev" builds because it's easier on them.

Conclusion

University says, Don't call your conclusion "Conclusion", but I say, nah, she'll be right.

So what's the conclusion here? I guess... in conclusion it's that we should keep in mind that if something seems like a bad idea on the surface but a group of people with decades of programming experience says its a good idea, then perhaps the value won't become apparent until you also gain some experience.

Related resources

Variable Shadowing

How to avoid annoying unused variable error - Stack Overflow

Unused Variables in Go

[ianasennus]

[Udemy] Go Foundations – Learn Go (Golang) From Beginner To Advanced

Learn “Go” in-depth by solving 17 Quizzes, 10 Assignments & 4 Projects.   What Will I Learn?   Installing “Go” on OSx, Linux (Ubuntu) & Windows Basic Command Line Basics Basic Programming Concepts In “Go” Basic Data Types - Integer, Float, Boolean & String Composite Data Types - Structure, Array, Slice & Maps Interface, Packages & Pointer Function Declaration And Methods Receiver Functions Concurrency - Using Channels & Goroutines. Goroutines Basic Web Server Building & Compiling to Machine Code Flow Control - If/Else, Switch, For Loops Input / Output File Handling Error Handling Testing Requirements This course does not assume you to have any programming knowledge, I will teach you from scratch. A basic understanding of computer is required, you should be able to install & uninstall softwares. Any prior knowledge of programming is welcome, but its not a must. You would require a text editor like atom, sublime text, visual studio code, etc. I will show you how to install them and the preferred choices. You would also require to install ‘Go’, no worries, I’ll teach you how to do it in super easy steps. Description Go Foundations teaches you everything from scratch without any assumption of prior programming knowledge. The course focuses more on actual programming concept rather than only the language syntax. Its a hands-on course with 17 Quizzes, 10 Assignments & 4 Projects, this course is all you require to understand the “Go” programming language in-depth.   The course also comes with expert help and timely resolution to your questions, the course also provides all the code links on Github and Golang Play links wherever possible, with all these we make sure you are never lost in the coding journey. Who is the target audience? If you want to learn 'Go’ without prior programming experience, or some experience with other programming languages. If you want to learn high performance systems, web applications, api’s, etc. If you want to enhance your current porfolio of programming languages Begineers & Indermediate programmers wanting to increase their understanding of Golang. Web developers and backend engineers who want to create low latency, high performance systems & api. source https://ttorial.com/go-foundations-learn-go-golang-beginner-advanced

source https://ttorialcom.tumblr.com/post/177537621888

[unixcommerce]

The 15 Highest Paying Programming Languages Right Now, According to Upwork

Independent web, mobile, and software developers with the right programing language skills are doing especially well. According to Upwork, developers with the Top 15 Highest Paying Programming Languages can go after some lucrative jobs as independent professionals.

This despite the current economic conditions around the world brought on by the pandemic. That is because more people are now working remotely with digital technology than ever before. And it is placing a premium on these skill sets.

15 Highest Paid Programming Languages

In the release for the report, Upwork Chief Economist, Adam Ozimek, says tech makes up the largest category on the company’s platform. Adding, “From artificial intelligence to mobile development, these specialized skills are highly sought after and, as a result, command high rates. And with work increasingly going remote, we are already seeing continuous growth in opportunities for skilled, remote tech professionals.”

Based on average hourly freelance rate, these are Upwork’s Top 15 Most Lucrative Programming Languages:

Objective-C – $66

Golang – $64

Windows PowerShell – $62

Excel VBA – $60

Kotlin – $60

NET – $59

Ruby – $59

Java – $58

Swift – $56

C# – $56

NET – $56

C++ – $55

SQL – $54

Python – $53

C – $52

The Top Languages

According to this list Objective-C is currently commanding the highest hourly rate for developers on Upwork. With $66 per hour, this comes out to more than $137,000 annually before taxes. Golang at $64 and Windows PowerShell at $62 round up the top three.

In terms of growth, the biggest gains come from Ruby (127%), Java (127%) and SQL (152%). It is important to know which languages are in demand because you will be using them to create apps companies want. And some languages are better to learn than others depending what field you are looking to go into.

Developer Jobs

A quick look at the different devices you use every day will show you they have different applications. And the applications are most likely written in different languages. As a developer, you can focus or specialize in a language to start creating apps to solve a particular problem.

You can be a software programmer, front or back-end web developer, software developer, solutions architect, or mobile developer.

There are many career paths as a developer, engineer, and programmer. Before you start on your path figure out the segment you want to work in, what languages are most useful and of course start learning.

High-Tech Education without the High Cost

There is no doubt the skills Upwork highlights in its list are lucrative. The question is how to go about learning them without being saddled with a huge debt. The good news is you don’t have to. As a matter of fact, you can learn all the languages on the list and many others for free online.

Just Google free Python, C, Java, or Objective-C language courses, and you will have more than enough choices. The difficulty comes in acquiring the discipline to go through the course and learn the language when it is free.

The fact that it is free stops many people from putting the same effort as for a course they pay for. But if you can overcome this obstacle and finish, you will learn the same language. And eventually, you will also start earning the same amount as you gain more experience.

One of the best free sources for coding is freecodecamp.org. This is a great nonprofit organization with courses on most of the popular languages used today. Their YouTube channel has hours of videos, many of them without any ads.

Whether you choose freeCodeCamp or another source, the point is you have many options for learning the different languages companies use today to develop apps.

Image: Depositphotos.com

This article, “The 15 Highest Paying Programming Languages Right Now, According to Upwork” was first published on Small Business Trends

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