Showing posts with label python. Show all posts
Showing posts with label python. Show all posts

29 Highest Paying Programming Languages You Need To Learn In 2017

Willing to learn new software skills and programming languages in 2017? Well, you’re at the right place. According to a career website, skills with lower job openings rank higher on the list of the highest paying programming languages. While Languages like Objective-C, Scala, and Go help one rake in big bucks, evergreen languages like SQL, Java, and C++ continue to create a large number of jobs.
Recently, we told you about the 20 highest paying software skills for developers. Based on the data from the job site Indeed, this showed favorable conditions for software engineers with the knowledge of cloud-based skills. Overall, Amazon Web Services like DynamoDB and MapReduce turned out to be the winner.
Different career-focused websites keep conducting surveys, collecting industry data, and publishing them on their blogs. Recently, I came across a post by the Paysa Blog, which was named Silicon Valley’s Most Valuable Skills.
I found that blog pretty interesting, particularly the coverage of the highest paying programming languages.
The website has listed the highest paying programming languages by average salary and percentage of job vacancies demanding that language. The chart shared below accounts 29 different programming languages. Before examining the details, let’s take a look
This chart clearly shows one trend — the highly compensated skills are listed on the lesser number of job openings. If we think for a moment and apply the universal demand-and-supply principle, this makes sense.
Objective-C, a programming language that’s slowly being replaced by Apple’s open source Swift programming language, appeared on less than 2% listings. It manages to offer developers and engineers a $140,000 annual salary.
The same trend is observed when we look at Verilog, R, and Scala. Strictly salary-wise, here’s the top 15 list:

Highest paying programming languages

  1. Verilog
  2. Scala
  3. Scheme
  4. Objective-C
  5. R
  6. Perl
  7. Go
  8. Python
  9. C++
  10. C
  11. Ruby
  12. LaTeX
  13. Java
  14. MATLAB
  15. Flex
All 29 languages, along with their position listings, can be seen in the chart shared above.
If we take a look at the position listings, we’ll find that SQL leads the chart, followed by Java, JavaScript, C#, and C++. Being the most in-demand language across all job postings, SQL was one of the lowest compensated languages.
Did you find this article interesting? Which languages do you wish to learn in 2017? Feel free to share your views in the comments section below

What are the some of the best programming tips and tricks | Padsa Information

  • Readability is the path to more interesting projects within a career.
  • Readability is the path to knowing what you wrote 5 years ago, and makes code reuse actually viable
  • Readability is the path to acquiring protégées that can learn from your style.
  • Readability that is understandable by others allows people to appreciate your code at a level of architecture, not just functional.
  • Readability is the path of lease resistance when you have a bug in your code.
  • Readability is the how you put ideas into understandable text and syntax, much like writing a paragraph in natural language.
  • Readability is somehow not a priority for most other developers, however it’s probably pretty important to your development director, if you work for one.
  • Readability is more important than most believe. With moore’s law, it’s even more important to focus on readability than pre-mature optimization.
Here’s more:
  • Most schools and colleges teach computer science like trade school skills. How to fix a car. How to be a dental assistant. How to be an admin.
  • Most schools and colleges don’t realize there’s a difference between Computer Science and Programming. These are different.
  • Most of the people applying for job in California are Programmers, when the job actually requires a Computer Scientist.
  • Most people only know one or three programming languages. I personally believe you need to know between 7–8 of them to really master the idea of programming.
Psychology wise?
  • Most programmers are very insecure about their programming skills and end up in bandwagon debates over which programming language is better.
  • Following that, most don’t realize that each programming language is just a tool that’s better at something while other is better at something else… Like speaking Spanish while in Spain, or knowing Chinese in the middle of China down. Right tools for the job.
  • Most programmers are habituated to just google everything, that’s how they were taught.
  • Most insecure programmers rave about how “compact” their code is. Which serves very little purpose on compiled languages.
  • Most insecure programmers focus on hyper tuning a few lines of code. Good programmers focus on delivering functional and useable software.
Habits….
  • Most programmers follow the syntax and structure of the style they were taught. Very few question the style they were taught. Examples are {’s on the if-statement line, or on the next line vertically aligned with the }.
  • Most programmers don’t make diagrams before they begin experimenting. Many just copy some existing example and start their modifications from there (which runs the risk of adopting bugs from existing examples).
  • Most programmers don’t unit test. They believe they are better than that, or they are lazy.
  • Most programmers read xkcd.
  • Programmers that are computer scientists are better at computational problems.
What most don’t realize about computer science (as opposed to only programming.)
  • You can merge sort your socks.
  • You can apply scalability methods of algorithms to work labor level processes to improve business efficiency.
  • You can learn other fields and industries because CS is a catalyze for industries like physics, chemistry, rendering, etc…
  • You can apply CS methods to accounting, management, logistics, market trends, human resource management, workflow processing engineering, etc…
  • Computer science has philosophies within it that can change your mode of thinking.
Lots and lots. It’s amazing what you can do if you pay attention to the computer science bit, rather than only how to program software.
Computer science includes:
  • Hardware
  • Software
  • Programming
  • Algorithms
  • Problem solving
  • Efficiency measurement methods
  • Stability methods
  • Integration concepts
  • Computer architecture
And most importantly….
  • Computer Science History
You learn to appreciate these things when you take in CS and listen in beyond only the programming trade skill.
Either you are a viable employee… Or you’re an amazing one that could hold a position of technical leadership.
Take your time to comment on this article.

10 Best Programming Languages That You Need To Learn In 2017

The year 2017 has arrived. So, this year, are you ready to learn a new programming language and boost your skill set? If your answer is yes, you’re at the right place. GitHub’s recent data gives us a pretty good idea about the best popular programming languages that you need to learn in 2017. Our top recommendations are Java, JavaScript, Swift, and Python.
These days, skilled programmers are in great demand. Over the past decade, coding jobs have become mainstream, creating millions of employment opportunities every year.
If you’re new to the programming world, there are many ways to choose your first programming language. You can analyze the needs — app development, web application, web design — and choose the programming language. If you’re looking for a useful and easy language to get started, Python can help you out.
Those who are already having the knowledge of programming, are taking the polyglot approach. The programmers are learning programming languages and improving their skill sets. By leveraging multiple languages, they are able to solve a problem statement easily.
For learning a new language, very often it’s suggested that one must take a look at the latest trends. This gives a pretty strong idea about future and how much a language can grow in usage and importance. This automatically tells us the employment opportunities.
Here, in this article, I’m going to use GitHub’s data to tell you the most popular programming languages that one needs to learn in 2017. The data is also accompanied by the percentage growth witnessed by these languages in 2016.

10 Best Popular Programming Languages

1. JavaScript:

JavaScript, also known as the language of the web, is at the top as it’s basically everywhere. This is a high-level, dynamic, and interpreted programming language that’s supported by all modern web browsers. It allows the developers to build web applications and add interactive elements to the websites.
— Growth of JS in 2016: 97%
— Learn JavaScript

2. Java:

Java, a general purpose and object-oriented programming language, is used for creating server-side applications, video games, and mobile applications. As it’s the core element of any native Android application, Java keeps enjoying an enormous popularity among the developers.
— Growth of Java in 2016: 63%
— Learn Java

3. Python:

Python is a widely popular and general purpose programming language. Just think about the job and a Python framework is there for you. Due to its simple syntax, it’s also recommended as the first programming language. Without a doubt, Python is one of the best popular programming languages you can run in 2017.
— Growth of Python in 2016: 54%
 Learn Python

4. Ruby:

Ruby, a general purpose and object oriented programming language, supports multiple programming paradigms and is used to create web apps. Apart from being easy to use, Ruby is known for its power. Ruby on Rails (Rails is a framework) is in high demand these days.
— Growth of Ruby in 2016: 66%
 Learn Ruby

5. PHP:

PHP is a server-side scripting language that primarily focused on web development. It forms the base of two internet giants, WordPress and Facebook. If you wish to become a web developer, PHP is an important language that you need to learn.
— Growth of PHP in 2016: 43%
—  Learn PHP

6. C++:

Based on C, C++ is a general purpose programming language that has influenced many other modern programming languages. Tons of daily applications, software, drivers, firmware, etc., used by us are written in C++. It’s considered to be an intermediate level language that has the qualities of both high-level and low-level programming language.
–Growth of C++ in 2016: 43%
—  Learn C++

7. C#:

Designed by Microsoft, C# (pronounced C-sharp) is a general-purpose, modern, object-oriented programming language. This relatively newer language breathes life into a wide range of Microsoft applications that are powered by .NET Framework. The programming in C# is very much based on C and C++. So, if you have a basic idea of C and C++, learning C# won’t be much tough.
–Growth of C# in 2016: 88%
—  Learn C#

8. Go:

Go is an open source programming language that’s aimed at making simple, efficient, and reliable software. It was created by three Google employees in 2007. In the recent times, it has emerged as one of the most popular programming languages, and it’s used by some of the Google’s won production systems. Many Go projects are also used for web servers, APIs, minimal web application frameworks, etc.
–Growth of Go in 2016: 93%
—  Learn Go

9. Scala:

Scala, a general purpose programming language, has been designed to be concise and fulfill the shortcomings of Java. Its source code is intended to be compiled to Java bytecode to allow the resultant code to run on a Java VM. Also, as its name suggests (Scala is portmanteau of scalable and language), Scala is designed to grow with the demand.
–Growth of Scala in 2016: 54%
—  Learn Scala

10. Swift:

Back in 2014, Apple decided to create a new programming language for its iOS and OS X application development. As a result, Swift was born. Since then, it has been in tremendous demand and the developers are learning this skill in big numbers. It adopts the best of C and Objective-C, allowing a developer to create an intuitive app.
–Growth of Swift in 2016: 262%
—  Learn Swift
So, which of these popular programming languages suits your need and interested? Any new year resolution to learn a new programming language?
 Don’t forget to share your views and feedback.

What Programming Languages Should You Learn to Become A Hacker | Padsa Information

Every hacking beginner can have plenty of doubts like: “Which programming language should I learn for Hacking ?”,

Programming Languages For Hacking:

1# For Web App / Pentesting / Hacking:

HTML: Hypertext Markup Language (HTML) is the basics for creating web pages and other information that can be displayed in a web browser. So if you don’t know HTML you should first learn it.
JavaScript: Learning JavaScript. It will help you to understand the basics of Cross Site Scripting.
PHP / SQL: The majority of web applications are written using PHP and MySQL. So it is a must to learn PHP.

2# For Writing/Understanding Exploits, Shell Codes, Rootkits etc:

C & C++: More than 60 % of the exploits you will find on the web are written in C & C ++. Learning C & C++ will help you to understand about Buffer overflows, Stack overflow etc – so learning C and C ++ is a must for every Hacker/Pentester.
Assembly: Learning assembly will help you in Writing/understanding Shell code, it will also help you in Reverse Engineering applications and software’s.

3# For Building Tools And Scripts:

Python: Python is a very powerful high-level language, it’s easy to learn and code, most of the tools and scripts for automation are written in Python. Knowing Python socket programming will help you a lot in Exploit writing.
Ruby: Ruby is an another language which is used to write scripts, tools. Metasploit Framework is written in Ruby. Learning ruby will help you understand the in and outs of MSF.
Bash: Learning Bash is very useful in writing small scripts for automation.
Hope this answers your question.
Comment below if you have any question .