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.

What are 5 essential skills every web developer should have?

Constantly learning and improving

In a fast moving industry like ours, staying on top of your game means you never stop learning. Technologies change just as fast as trends, and what’s common practice now might already be outdated in a few years. If you want to become a great web developer, you have to stay ahead of the curve. That means learning new technologies and programming languages and also keeping an eye on what customers want (and need) in order to stay satisfied.(website services in nagpur)

In a recent survey of over 2,000 Java developers, 53% admitted to being “technology sheep” that only adapt new things once they have been accepted by the industry as the standard. 44% described themselves as “early adopters” that already upgrade OSX versions before they are stable. It’s pretty clear which fraction is more likely to stay ahead of their competitors. And it’s not the 3% of so-called “immutables” that consider all change bad and “don’t have time for change” because they are “too busy doing real work”.(responsive website design company nagpur)

Another reason to keep learning is to stay ahead of your user base. Or, as author Rick Cook puts it: “Programming today is a race between software engineers striving to build bigger and better idiot-proof programs, and the universe trying to produce bigger and better idiots. So far, the universe is winning.”

Keeping up to date with the industry

To stay up to date with the industry, a great idea is to follow blogs like Smashing Magazine, Sitepoint, Hacker News and of course our very own blog (although it looks like you’re doing alright there already). Visiting expos and conferences is also a great idea since you can network and walk away with many new ideas and insights. A good personal goal would be to visit at least one tech conference each year to keep things fresh and step out of your daily routine. (best web design company in nagpur)

3. Being able to manage time and prioritize

Working in web development can be extremely stressful and chaotic at times. Projects keep stacking up and deadlines are always just around the corner. To stay efficient (and sane), it’s vital to manage your time as best as possible. This is something that many developers struggle with, simply because they never took a step back to improve their time management skills. Here are some quick actionable tips on how you can become more organized and avoid deadlines creeping up on you:

  • Make a to-do list and prioritize to put the most urgent and important tasks on top. Sometimes, the other stuff will just have to wait.
  • Check your list first thing every morning and make a quick plan for the day. Even though things won’t always go according to that plan, you will become much more efficient by having it in the first place.
  • Set reminders for important tasks and project steps that you want to get finished at certain times during the day or week. Ignore everything else if needed to make sure you meet your own mini deadlines.
  • Use the 80/20 rule and try to find daily activities that eat away too much of your time without producing enough results. You might be surprised at how much time you’re spending every day doing things that take way too long for what you get out in return.
  • Communicate with your boss or clients as soon as possible if you feel like you won’t make a deadline. It’s not ideal, but it’s not the end of the world either. The sooner you let them know about it, the sooner they can prepare.
  • Understanding UX

    One attribute of any truly great developer is that they not only have an excellent grasp of the technical side of their business but also of the design and client-oriented aspect. To develop great apps and software, you have to understand how your clients and customers will use the end product. Swiss computer scientist and programmer Niklaus Wirth put it this way: “Clearly, programming courses should teach methods of design and construction, and the selected examples should be such that a gradual development can be nicely demonstrated.”

    Before you start working on a new project, take the time and really think about the design and how it will be used by consumers. Through this step, you will often develop ideas that can significantly improve the product design itself.

    Thanks and regards.
    adirajput2000@gmail.com.

The 10 most popular programming languages, according to the ‘Facebook for programmers’

Thousands of programming languagesexist, but there are some trusty ones that developers turn to again and again.

GitHub, the startup at the center of open-source software development, tracks these programming trends. After all, it’s a hub for software projects that developers can browse and contribute to with over 3.1 million developers and 2.1 million organizations. Its annual Octoverse report has top insights on the the inner goings-on in the world of software developers.

GitHub is about to be acquired by Microsoft for $7.5 billion, and it’s quickly growing. There were 8 million new users on the platform this past year — that’s more than in GitHub’s first six years combined. And it’s growing quickly globally, especially in countries like China, India, Singapore, Nigeria, Brazil, and more. Indeed, it’s been compared to Facebook, in the sense that it’s the home to several of the largest communities of programmers.

# Ruby.

Ruby is a dynamic, open source programming language that focuses on simplicity. It’s been used to build some of the apps we use each day. Ruby on Rails, a popular web-application framework, is implemented in Ruby. In fact, apps like Twitch, SoundCloud, Hulu, Zendesk, Square and GitHub were built with Ruby on Rails.

#C.


C is an old one, but a good one. One of the oldest programming languages, it was invented in the 1970s. Even today, it has become one of the most widely used programming languages of all time.

#Shell.

A shell script is a computer program that’s designed to instruct an operating system to run certain commands. Shell scripts can manipulate files, execute programs and more. It’s especially popular with systems administrators.

#Type script.

Thanks and regards.

Lua – A New, Fast and Powerful Programming Language .

Lua is a scripting language born in Brazil and is quite special. Lua, compared to the well-known programming languages such as PHP, Perl, Python and Ruby, stands out for its extreme compactness, speed and a strong emphasis on the description and management of data.

In addition, from the beginning, it was designed and built to be embedded within applications written in C / C ++, D, Pascal, and Ada. In this way, it is possible to extend and modify an already completed application and distributed to customers without having the source code and above all using such a small and simple language that you learn in a day!

Lua is not just an extension language, it is also a general purpose language for writing a wide variety of applications. Said in challenging terms, you can write in Lua everything you can write in Python or Ruby with a considerable gain in terms of speed of application execution.
Lua is a very small and flexible dynamic scripting language. The entire interpreter is contained in a single executable file of approximately 200 KB. Just copy this file to a system directory or present in your Path and Lua becomes ready to use without limits. Compiling Lua from source code (a few thousand C code very clean) is quick and easy on any platform that has an ANSI C compiler.

Instead, providing an application written in C / C ++, D or Pascal / Object Pascal of a Lua interpreter is simple and convenient.

The syntax of Lua is similar to that of Pascal, but is closer to Ada; this gives the language great readability and elegance. Anyone who knows a scripting language finds Lua simpler, smaller and more immediate than any other. In fact, Lua is composed of a handful set of keywords and symbols.

The fact that it is such a small language should not lead the reader to think that with Lua you can do little or nothing. But again, with Lua, you can do everything you would do with Perl, Python or Ruby. When it comes to extending an application, Lua demonstrates its nature. It is possible to write Lua code according to the procedural, functional and object paradigm.

The Lua compiler

Like all scripting languages, a Lua script is executable from source code and this is a real problem for those who want to distribute their applications without allowing the user to browse the source code or modify it. A viable but not effective solution is to obfuscate the code.

Lua solves this problem by providing a very small utility called “LUAC“. It is not a true compiler as we understand it, that is, it translates the source code of a program into executable code but simply transforms the Lua code into encrypted code making it absolutely unreadable.

The “compiled” Lua code does not gain and loses nothing in terms of performance compared to the source code.

Extend an application into Lua

There are so many really interesting things to say about Lua, but the essence of the language remains to write scripts that interact with compiled applications written in other languages, typically in C / C ++ and Object Pascal (Delphi, Kylix and Free Pascal). Think how useful and interesting it is for the user to customize and extend an application without having to source code. Not only. Thanks to Lua it is possible to write a “kernel” application around which to develop specialized software using components in lua. Indeed, this is the most common use of Lua. Just go to the site dedicated to the language and see how many projects have been made in this way.

Lua is very close to C, calling C functions or inversely calling Lua from C is immediate and without many complications.

Personally of Python and I learned only the rudiments, but for what I saw Lua is superior, except that Lua is Brazilian and this does not put him at the top of the visibility.

If you look at the sources, find out who wrote this stuff knows the C very well and the performance is also due to this non-secondary circumstance.

Conclusion

Learning a new programming language has always been useful, interesting and sometimes even fun. But when the knowledge of a new language also helps us to improve our work, then it becomes a real investment. However, there is always a price to pay in terms of time, money, energy and perhaps even health, before becoming really productive with a new language. All this then becomes proportional to the complexity of the language and the validity of the available development environments.

Thanks and regards.

adirajput2000@gmail.com

JEE Main 2019: यहां देखें जेईई मुख्य परीक्षा 2019 की आधिकारिक अधिसूचना, परीक्षा तिथियां, योग्यता और अन्य विवरण ?

नई दिल्ली. JEE Main 2019: पिछले महीने एमएचआरडी (मानव संसाधन विकास मंत्रालय) ने घोषणा की कि अगले वर्ष से जेईई मेन (संयुक्त प्रवेश परीक्षा) एक वर्ष में दो बार आयोजित की जाएगी. अगले वर्ष से राष्ट्रीय परीक्षण एजेंसी (एनटीए) जेईई मेन परीक्षा आयोजित करेगी. एनटीए इस महीने के अंत तक जेईई मेन 2019 परीक्षा के लिए आधिकारिक अधिसूचना जारी करेगा. यहां पूरा विवरण दिया गया है.

जेईई मेन 2019 परीक्षा आधिकारिक अधिसूचना और परीक्षा तिथियां
राष्ट्रीय परीक्षण एजेंसी इस महीने या 1 सितंबर को पहली संयुक्त प्रवेश परीक्षा परीक्षा के लिए अधिसूचना जारी करेगी. टेंटेटिव शेड्यूल के अनुसार एनटीए 1 सितंबर से आवेदन पत्र जमा करने की प्रक्रिया भी शुरू करेगा. उम्मीद की जाती है कि एनटीए ऑनलाइन आवेदन प्रक्रिया शुरू होने से 1-2 दिन पहले जेईई मेन परीक्षा के लिए अधिसूचना जारी करेगी.

प्रक्रिया 1 सितंबर से शुरू होगी और आवेदन पत्र जमा करने की अंतिम तिथि 30 सितंबर होगी. जेईई 2018 मेन्स परीक्षा 6 जनवरी 2019 से 20 जनवरी 2019 तक आयोजित की जाएगी. संयुक्त प्रवेश परीक्षा का परिणाम फरवरी के पहले सप्ताह में होगा.

जेईई मेन परीक्षा के परिणाम की घोषणा के बाद जेईई मेन अप्रैल 2019 परीक्षा के लिए ऑनलाइन आवेदन प्रक्रिया शुरू होगी. जेईई मेन 2019 परीक्षा के लिए टेंटेटिव शेड्यूल के अनुसार ऑनलाइन आवेदन प्रक्रिया फरवरी के दूसरे सप्ताह में शुरू होगी. परीक्षा 7 अप्रैल से 21 अप्रैल, 2019 तक आयोजित की जाएगी. जेईई मेन 2019 जुलाई का परिणाम मई के पहले सप्ताह में होगा.

उम्मीदवार या तो एक परीक्षा या दोनों परीक्षा दे सकते हैं. इस परीक्षा में उम्मीदवारों को दी गई तिथियों से परीक्षा की तारीख चुनने का विकल्प होगा. जेईई मेन 2019 परीक्षा के लिए पाठ्यक्रम एक ही रहेगा. राष्ट्रीय परीक्षण एजेंसी ऑनलाइन मोड में मुख्य परीक्षा आयोजित करेगी और पेन .

जेईई मेन परीक्षा 2019 (जनवरी) टेंटेटिव शेड्यूल इस प्रकार है.

आधिकारिक अधिसूचना रिलीज- अगस्त या 1 सितंबर को
ऑनलाइन आवेदन- 1 सितंबर से 30 सितंबर
जेईई मेन परीक्षा परीक्षा- 6 जनवरी से 20 जनवरी
रिजल्ट की घोषणा- फरवरी के पहले सप्ताह
जेईई मेन परीक्षा- अप्रैल 2019
ऑनलाइन आवेदन जमा करना- फरवरी 2019 दूसरे सप्ताह
जेईई मेन के लिए ऑनलाइन परीक्षा- 7 अप्रैल से 21 अप्रैल, 2019
जेईई मुख्य परिणाम- मई 2019 के पहले सप्ताह में.

Thanks and regards.

Shivam Tiwari.

DU 7th cut-off 2018: Seats available in popular colleges ?

DU 7th cut-off 2018: The cut-off remains high with Miranda College demanding 96.25 per cent for English (Hons) while Ramjas has set 94.25 per cent for the general category.

DU 7th cut-off 2018:Delhi University has released the seventh cut-off for admission to undergraduate (UG) courses (based on merit) for the academic session 2018-2019. The candidates have to visit the respective colleges to complete the admission formalities on August 6, that is, Monday. The cut-off remains high with Miranda College demanding 96.25 per cent for English (Hons) while Ramjas has set 94.25 per cent for the general category.

At Gargi college, seats are still vacant for popular courses like BA (English), B Com. The cut-off for English (Hons) stands at 93.50 per cent and B Com stands at 95.50 per cent for general category candidates. Similarly, there are seats available in History (Hons). However, in popular colleges like Hansraj and Hindu college, seats are available for the reserved category candidates. In Kirorimal College, any candidate that has scored 94 per cent can take admission.

DU admissions 2018: Documents required.

. _Class 10 Board exam certificate (from any recognised Board).

._Class 10 Board exam mark sheet (from any recognised Board).

._Class 12 Board or Plus Two/ Inter exam certificate (from any recognised Board). If students haven’t received their certificates, then ensure to carry the provisional certificates given by the school.

._Class 12 Board exam mark sheet (from any recognised Board).

._Admission form print out.

._Reserved category certificates (in the name of the candidate) issued by the competent authority.

._Transfer certificate from school or college.

._Migration Certificate from Board or University.

._Passport size self-attested photographs.

._Original copy of the registration form.

._Pass certificate for Class 10 English (for students who did not appear in compulsory English).

Thanks and regards.

Shivam tiwari

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