Julia vs Python: Which programming language should you learn?

Julia vs Python: Which one is the best programming language? Which one should I use for data science? Which one between the two is more versatile? These are just some of the questions that you may be asking yourself. Well, I have the answers to these questions. In this article, we are going to draw a comprehensive comparison between Julia and Python programming languages.

For years, Python has been winning the hearts of programmers. In fact, it is currently rated among the most popular programming languages. One of the reasons is its simplicity and most beginners use it as a perfect landing platform. Its versatility makes it an ideal language for experienced developers.

Apart from developing normal applications, Python is a preferred programming language for data machine learning and data analysis. While Python is boasting of a massive popularity, Julia is also making some significant strides. The most recent ranks placed it among the top 50 popular programming languages. Some people prefer it over Python.

Julia vs Python: Comparison

Julia Programming Language

Julia programming language was unveiled in 2012 and was meant to address the shortcomings of other programming languages including Python. It was also designed to utilize the strongest aspect of other programming languages such as speed and openness The language is mainly used for data processing and scientific computing.

. It is compiled and not interpreted: Julia is categorized as a just-in-time (JIT) and is compiled by the LLVM framework. Since it is not interpreted, Julia is a fast programming language. Its speed can be compared to the ones of C language.

2. It has a straightforward syntax that can be understood by the newbies. Its syntax is quite similar to that of Python.

3. Julia is a dynamically typed language. You don’t have to specify or sign the variables

4. Supports metaprogramming: A Julia program can be used to create other Julia programs which will have their unique codes.

5. Can access libraries of other programming languages such as C, Fortran, and Python.

Key Features of Python.

1. Python is an object-oriented high-level programming language.

2. Like Julia, Python is also a dynamically typed language.

3. Python is an interpreted language, there is no need to compile it.

4. Like C, Python is an open source language. You can download and use it freely.

5. The language is highly portable. It can run on any machine.

Advantages of Julia Language over Python Language

Here are the main advantages that Julia has over Python language.

1. Speed

In its default state, Julia language is still faster than Python. This is possible because Julia uses both the type declarations and JIT (Just in time) compilation. The unoptimized versions of Python programming cannot match the speed of Julia.

However, you can boost the speed of Python by using third-party compilers such as PyPyand other external libraries.

2. Automatic memory management

With Julia, you won’t be overburdened with the tasks of freeing and allocating memory. The language does these tasks for you. The language provides effective measures for garbage collection. However, this is also a feature of Python language.

3. Math-oriented syntax

It is a common knowledge that Julia language was specially created for the scientific computations which are used in a mathematical environment. The syntax of this programming language is quite similar to mathematical formulas that are normally used for other mathematical operations other than just computing. For this reason, Julia can be easily understood by non-programmers.

4. Parallelism

We cannot deny the fact that both Julia and Python utilize parallelism for resource management. However, Julia is less heavy in terms of the resources that it uses as compared to Python.

Advantages of Python over Julia

Here are some of the reasons that can make you choose Python over Julia:

1. Julia is still young

Julia language was developed in 2009 and released in 2012. It is still a new language with very few features. On the other hand, Python language has been in existence for decades. It is backed by years of research and development.

2. Array index starts from 1

Unlike Python, Julia arrays are 1-indexed. This means that the first element in an array is 0 (zero) instead of one. This feature puts Julia at loggerheads with most mathematical applications.

3. Community

The fact that it is older than Julia means that it enjoys the backing of a large community. On the other hand, Julia has a small community which is still at the infancy stage.

4. Compatibility

Python is supported by more third-party libraries and software than Julia.

Conclusion

From this comparison, you can see that there is a very close relationship between Julia vs Python. The one that works for you should be the best language for you. All you need is to learn and master either of the two programming languages. You will use it to accomplish whichever task that is at hand..

Thanks and regards.

adirajput2000@gmail.com.

Top 10 Best Countries for Software Engineers to Work & High in-Demand Programming Languages .

This time we decided to figure out which are the top countries to work with, for programming language enthusiasts making a living as developers, software engineers, or data analyst.
From my experience, English speakers can find the most jobs in the U.S. (West Coast, obviously), United Kingdom (London), Ireland, Netherlands (Amsterdam), Switzerland, and Belgium. New Zealand and Australia are pretty popular among developers who love the laid-back lifestyle.

But the scenarios change when we talk about non-English speaking nations. Japan is growing exponentially; Russia and China have a huge culture of programming, and IT companies are growing rapidly in these countries; and India, Southeast Asian countries (Singapore and Indonesia), and South Korea (Seoul) are other popular and growing markets. Often, the lower median salary is easier to stomach because of the lower cost of living.
What is important to understand that the definition of “best country” may not be categorical, and depends on a lot of people’s preferences. To keep things fair we decided to dig up data from some popular sources to identify the best countries to work in for software engineers

Top 10 Best Countries for Software Engineers to Work & High in-Demand Programming Languages.

This time we decided to figure out which are the top countries to work with, for programming language enthusiasts making a living as developers, software engineers, or data analyst.
From my experience, English speakers can find the most jobs in the U.S. (West Coast, obviously), United Kingdom (London), Ireland, Netherlands (Amsterdam), Switzerland, and Belgium. New Zealand and Australia are pretty popular among developers who love the laid-back lifestyle.
But the scenarios change when we talk about non-English speaking nations. Japan is growing exponentially; Russia and China have a huge culture of programming, and IT companies are growing rapidly in these countries; and India, Southeast Asian countries (Singapore and Indonesia), and South Korea (Seoul) are other popular and growing markets. Often, the lower median salary is easier to stomach because of the lower cost of living.
What is important to understand that the definition of “best country” may not be categorical, and depends on a lot of people’s preferences. To keep things fair we decided to dig up data from some popular sources to identify the best countries to work in for software engineers.
We listed these countries in order of their Happiness index and technological advancement in the field of IT over the years.
Top 10 countries for Software engineers / Developers/ Data Scientists to work
  • Switzerland
  • Canada
  • Australia
  • Netherlands
  • Germany
  • USA
  • Sweden
  • Denmark
  • Singapore
  • United Kingdom
You can read the detailed research below and other picks of top countries list based on various job profiles
Google Trends
Google Trends is a public web facility of Google Inc., based on Google Search, that shows how often a particular search term is entered relative to the total search volume across various regions of the world, and in various languages (Wikipedia). Read What is Google trends data – and what does it mean? if you want to know more
The numbers in the table depict the popularity of one language over another, as searched on Google. A programming language with a higher number shows that the interest is higher as compared to other languages. This popularity could be due to academics, professional requirement, or interest which leads to various job opportunities.
As discussed, Java is fairly popular. Python is one of the most searched languages in Australia. C#, despite showing a high requirement in the job portal, is not really popular. Swedish people had been searching for Swift programming language more often than others. Ruby leads in Ireland. MatLab is a popular Google search term in almost all the listed nations, showing its relevance in academics.
The below graphs compares the popularity of programming languages in order of Java, Python, PHP, C#, JavaScript, C++, C, Objective-C, R, Swift, Angular JS, Ruby, Perl, Matlab in each country respectively. Which means Java and R are searched more often and in greater volume as compared to Swift and Angular Js in Denma

Top 10 Best Countries for Software Engineers to Work & High in-Demand Programming Languages

This time we decided to figure out which are the top countries to work with, for programming language enthusiasts making a living as developers, software engineers, or data analyst.
From my experience, English speakers can find the most jobs in the U.S. (West Coast, obviously), United Kingdom (London), Ireland, Netherlands (Amsterdam), Switzerland, and Belgium. New Zealand and Australia are pretty popular among developers who love the laid-back lifestyle.
But the scenarios change when we talk about non-English speaking nations. Japan is growing exponentially; Russia and China have a huge culture of programming, and IT companies are growing rapidly in these countries; and India, Southeast Asian countries (Singapore and Indonesia), and South Korea (Seoul) are other popular and growing markets. Often, the lower median salary is easier to stomach because of the lower cost of living.
What is important to understand that the definition of “best country” may not be categorical, and depends on a lot of people’s preferences. To keep things fair we decided to dig up data from some popular sources to identify the best countries to work in for software engineers.
We listed these countries in order of their Happiness index and technological advancement in the field of IT over the years.
Top 10 countries for Software engineers / Developers/ Data Scientists to work
  • Switzerland
  • Canada
  • Australia
  • Netherlands
  • Germany
  • USA
  • Sweden
  • Denmark
  • Singapore
  • United Kingdom
You can read the detailed research below and other picks of top countries list based on various job profiles
Google Trends
Google Trends is a public web facility of Google Inc., based on Google Search, that shows how often a particular search term is entered relative to the total search volume across various regions of the world, and in various languages (Wikipedia). Read What is Google trends data – and what does it mean? if you want to know more.
The numbers in the table depict the popularity of one language over another, as searched on Google. A programming language with a higher number shows that the interest is higher as compared to other languages. This popularity could be due to academics, professional requirement, or interest which leads to various job opportunities.
As discussed, Java is fairly popular. Python is one of the most searched languages in Australia. C#, despite showing a high requirement in the job portal, is not really popular. Swedish people had been searching for Swift programming language more often than others. Ruby leads in Ireland. MatLab is a popular Google search term in almost all the listed nations, showing its relevance in academics.
The below graphs compares the popularity of programming languages in order of Java, Python, PHP, C#, JavaScript, C++, C, Objective-C, R, Swift, Angular JS, Ruby, Perl, Matlab in each country respectively. Which means Java and R are searched more often and in greater volume as compared to Swift and Angular Js in Denmark.
Indeed.co
Indeed.co, available in 50 countries and 28 languages, is one of the most high-traffic job websites in the United States and other countries. Using country-specific search for the number of software engineers jobs listed on Indeed, we found data which matched our previous research on Top programming languages that will be popular in 2017.
While Java remained the favorite in all the top destinations. C, C++, and C# programmers are still in demand in these nations, making them “evergreen” programming languages and famous among software engineers and developers.
In the U.S., China, India, and Japan, PHP developers have quite sought after.
The requirement of R programmers is higher in Switzerland, USA, India, and much more so in Germany and France. Canada, Netherlands, UK, USA, India, and China clearly require MatLab skills. If you are a Ruby developer, Japan needs you. But Canada gives first preference to Perl coders.

Median Salary – Programmer salary by country
What’s happiness without a handsome salary?
Hence, we listed the average salary for a particular job (Source – PayScale). These values have been expressed in US dollars.
Switzerland, Sweden, Australia, and the United States have higher software engineer salaries than other countries.
A data scientist is one of the highest-paid jobs across the globe. Argentina pays PHP developers generously compared to the country’s average pay for other IT skills.
France is looking for Java and front-end developers, paying them well for their skills.
Japan, Singapore, and, particularly China and India, offer fairly poor compensation despite having a high requirement for skilled employees.

Thanks and regards..

adirajput2000@gmail.com

10 Highest Paying Computer Science Jobs in 2019.

There is no doubt that computer science is a very marketable course. Upon your graduation, you are guaranteed of landing a high-paying job. On the same note, this course is very wide. Computer science opens you up to many different career options. You can choose to be a software engineer, data analyst, system administrator, security analyst, and many others.

Before specializing on any computer science-related job, there is one question that will automatically come into your mind. How much will I earn? Well, different jobs offer different perks. Here are the highest paying computer science jobs we’ll see in 2019. We’ve created this list after analyzing various job sites and online communities.

Highest Paying Computer science Jobs in 2019

1. Big Data Engineer

In recent years, Big data has been one hot topic in the business world. It entails converting raw data into meaningful information that can be used for decision making. Businesses are in a dire need for big data experts.

It is understood that with the right data, a business can easily pass its competitor and move to the next levels. Apart from analyzing and interpreting data, big data engineers are also responsible for developing software that can automate the task of data analysis. For this reason, a business will be ready to part with huge sums of money to retain its data engineers. A computer science degree and some hands-on skills on the database are necessary for one to be a big data engineer. The average salary of a big data engineer is $155,000

Data Scientist

The work of data scientist is to bring the sense out of data. Apart from having knowledge of computer science, data scientists are good at mathematics, statistics, and modelling. They use this knowledge to critically analyze complex data from various sources. A data scientist should also be good at some programming languages such as Python and Java. The average salary of a data scientist is $121,500.

3. Information Systems Security Manager

Systems security is a very critical topic that is giving many people some problems. Even the organizations that are assumed to be having the most advanced security infrastructure always find themselves under threat. To alleviate the risks, they usually hire information systems security managers.

Systems security manager ensures that there is no breach of security in the systems of the organization. They also have to stay updated on the latest security trends. In order to be a systems security analyst, you need to have major certification such as CompTIA Security+ or a Certified Information Systems Security Professional (CISSP). The job attracts lucrative perks. Their average salary is $140,000

4. Data Architect

Unorganized data is not of any use to an organization. It needs to be well-structured in a way that it can be interpreted and used by the business or any other organization. It is the responsibility of the data architect to organize data in a well-stipulated structure. They are also responsible for translating the business requirements into meaningful database solutions. A data architect also ensures that all the security measures of the database have been achieved. The average salary of a data architect is $133,500.

5. Applications Architect

This is one of the highest paying computer science job. The job entails designing and organizing the whole structure of an application, regardless of the platform on which it will be used. An application architect will work on the user interface, middleware, and backend of an application. They should also have technical information on the operation of an application.

In most occasions, application architects are required to work with other developers. For this reason, communication skill is a must-have requirement. They should also have planning and organization skills. Their average salary is $ 135,000.

. Data Manager

Although it may sound like an ordinary job, do not make the mistake of underrating it. It is one of the high paying computer science job. All businesses and organizations have databases. The only thing that may vary is the size of the database. A database needs to be maintained on a routine basis. Such tasks are performed by database managers.

Data managers in large organizations earn up to an average of $129 000. Apart from academic qualifications, a database manager needs to possess leadership and organization skills.

7. Software Engineer

Once you graduate with a degree in computer science, you can end up becoming a software engineer. This job entails designing and creating core engineering specifications for software and applications. You should be knowledgeable about the information systems and specific programming languages. You should also have excellent communication skills. The average salary of a software engineer is $ 124, 500.

. Data Security Analyst

The job of a data security analyst is to create various powerful mechanisms for protecting data against various forms of risks. This can be against both internal and external security threats. Data security analysts should have an in-depth understanding of computer security, network security, network protocols, encryption technologies, firewall administration among several other security measures. They should always be aware and updated of the laws concerning the security of data. A recognized certification such as CISSP is usually required by the employers. The average salary of data security analysts is $125,000.

9. Mobile Applications Developer

Many businesses are seeking to out to reach their customers beyond websites. The easiest way of reaching customers is through mobile devices. To achieve this, they have to build mobile apps. This means that there is a high demand for mobile application developers. This directly translates to high pay.

Mobile application developers must be experienced in developing apps for two major platforms (iOS and Android). You should also be experienced in coding using different frameworks and different mobile development languages. The average salary of a mobile application developer is $107,000

10.Wireless Network Engineer

There is no doubt that more people are embracing mobile offices. They give people the power and ability to work from anywhere. These offices and even mobile devices need to be connected to a wireless network hence increasing the demand of network engineers.

Network engineers are experts in all the aspects of computer network They are also good at issues that are related to network security. To be one, you need to have a networking certification such as the Certified Wireless Network Professional (CWNP). The average salary of a wireless network engineer is $122,000.

Thanks and regards…

adirajput2000@gmail.com.

10 Highest Paying Computer Science Jobs in 2019.

There is no doubt that computer science is a very marketable course. Upon your graduation, you are guaranteed of landing a high-paying job. On the same note, this course is very wide. Computer science opens you up to many different career options. You can choose to be a software engineer, data analyst, system administrator, security analyst, and many others.

Before specializing on any computer science-related job, there is one question that will automatically come into your mind. How much will I earn? Well, different jobs offer different perks. Here are the highest paying computer science jobs we’ll see in 2019. We’ve created this list after analyzing various job sites and online communities.

Highest Paying Computer science Jobs in 2019

1. Big Data Engineer

In recent years, Big data has been one hot topic in the business world. It entails converting raw data into meaningful information that can be used for decision making. Businesses are in a dire need for big data experts.

It is understood that with the right data, a business can easily pass its competitor and move to the next levels. Apart from analyzing and interpreting data, big data engineers are also responsible for developing software that can automate the task of data analysis. For this reason, a business will be ready to part with huge sums of money to retain its data engineers. A computer science degree and some hands-on skills on the database are necessary for one to be a big data engineer. The average salary of a big data engineer is $155,000

Data Scientist

The work of data scientist is to bring the sense out of data. Apart from having knowledge of computer science, data scientists are good at mathematics, statistics, and modelling. They use this knowledge to critically analyze complex data from various sources. A data scientist should also be good at some programming languages such as Python and Java. The average salary of a data scientist is $121,500.

3. Information Systems Security Manager

Systems security is a very critical topic that is giving many people some problems. Even the organizations that are assumed to be having the most advanced security infrastructure always find themselves under threat. To alleviate the risks, they usually hire information systems security managers.

Systems security manager ensures that there is no breach of security in the systems of the organization. They also have to stay updated on the latest security trends. In order to be a systems security analyst, you need to have major certification such as CompTIA Security+ or a Certified Information Systems Security Professional (CISSP). The job attracts lucrative perks. Their average salary is $140,000

4. Data Architect

Unorganized data is not of any use to an organization. It needs to be well-structured in a way that it can be interpreted and used by the business or any other organization. It is the responsibility of the data architect to organize data in a well-stipulated structure. They are also responsible for translating the business requirements into meaningful database solutions. A data architect also ensures that all the security measures of the database have been achieved. The average salary of a data architect is $133,500.

5. Applications Architect

This is one of the highest paying computer science job. The job entails designing and organizing the whole structure of an application, regardless of the platform on which it will be used. An application architect will work on the user interface, middleware, and backend of an application. They should also have technical information on the operation of an application.

In most occasions, application architects are required to work with other developers. For this reason, communication skill is a must-have requirement. They should also have planning and organization skills. Their average salary is $ 135,000.

. Data Manager

Although it may sound like an ordinary job, do not make the mistake of underrating it. It is one of the high paying computer science job. All businesses and organizations have databases. The only thing that may vary is the size of the database. A database needs to be maintained on a routine basis. Such tasks are performed by database managers.

Data managers in large organizations earn up to an average of $129 000. Apart from academic qualifications, a database manager needs to possess leadership and organization skills.

7. Software Engineer

Once you graduate with a degree in computer science, you can end up becoming a software engineer. This job entails designing and creating core engineering specifications for software and applications. You should be knowledgeable about the information systems and specific programming languages. You should also have excellent communication skills. The average salary of a software engineer is $ 124, 500.

. Data Security Analyst

The job of a data security analyst is to create various powerful mechanisms for protecting data against various forms of risks. This can be against both internal and external security threats. Data security analysts should have an in-depth understanding of computer security, network security, network protocols, encryption technologies, firewall administration among several other security measures. They should always be aware and updated of the laws concerning the security of data. A recognized certification such as CISSP is usually required by the employers. The average salary of data security analysts is $125,000.

9. Mobile Applications Developer

Many businesses are seeking to out to reach their customers beyond websites. The easiest way of reaching customers is through mobile devices. To achieve this, they have to build mobile apps. This means that there is a high demand for mobile application developers. This directly translates to high pay.

Mobile application developers must be experienced in developing apps for two major platforms (iOS and Android). You should also be experienced in coding using different frameworks and different mobile development languages. The average salary of a mobile application developer is $107,000

10.Wireless Network Engineer

There is no doubt that more people are embracing mobile offices. They give people the power and ability to work from anywhere. These offices and even mobile devices need to be connected to a wireless network hence increasing the demand of network engineers.

Network engineers are experts in all the aspects of computer network They are also good at issues that are related to network security. To be one, you need to have a networking certification such as the Certified Wireless Network Professional (CWNP). The average salary of a wireless network engineer is $122,000.

Thanks and regards…

adirajput2000@gmail.com.

Copyright @AdiRajput 2018
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