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Python vs JavaScript - A Complete Introduction

Python vs JavaScript - A Complete Introduction

The world of software development is blatantly unpredictable and dynamic. If you have worked in this field for at least a few years, it is likely that you are aware of the flood of changes that have an impact on the choices made by business owners and developers.

While some inventions entered the market and quickly became popular with everyone, others have existed in obscurity for all eternity. Therefore, when you begin working on a project, it is crucial that you choose one with high levels of popularity, demand, and usage.

We have chosen to discuss two well-known programming languages today that we, as a software development firm, take a great lot of interest in - Python vs. JavaScript - to help you deal with this never-ending confusion.

Introduction to Python

Python is a well-known interpreted, object-oriented, high-level programming language that has dynamic semantics. Python's syntax is straightforward and quick to learn, which emphasizes readability, and decreases the cost of program maintenance. Python offers modules and packages to support program modularity and code reuse. According to the current reports, nearly 80 percent of machine learning engineers use python as their preferred language.

Interested in Python and Javascript content? How about exploring Python+Javascript opportunities too?

Python vs Javascript.webp

Uses of Python

  1. It can be utilized to create web applications on a server.
  2. Python can be used with the program to develop workflows.
  3. Python can be connected to a database's systems and has the ability to read and edit files.
  4. It can be used to manage enormous data and carry out complicated mathematical operations.
  5. It is used to create software that is ready for production or rapid prototyping.

Features of Python

  1. It is a simple and high-level programming language.
  2. It is an open-source, free, object-oriented language.
  3. A large standard library with a wide range of modules and functions is available.
  4. Python is a language with dynamic typing feature.
  5. It also has libraries.

Characteristics of Python

  1. Along with OOP, it provides functional and structured programming techniques.
  2. Large programs can be built using it as a scripting language or by compiling it to byte code.
  3. It allows dynamic type checking and offers very high-level dynamic data types.
  4. Automatic garbage collection is supported.
  5. It is simple to integrate with Java, C, C++, COM, ActiveX, and CORBA.

Your first program

Before running any python program you should have any python compiler to type into your first program. You can use any code editor software to run your program if Python is installed in your system. Make sure you have python installed on your system.

print(“This is python introduction”) 

As you can see the print function allows you to print any statement on the output screen. In the case of the above syntax, the output will be “This is python introduction”.

Advantages of Python

1. Execution: The interpreter automatically processes Python while it is being used. There is no need for you to compile before running a program. This is more similar to PHP and PERL programming languages.

2. Interactive: Python is interactive while writing programs, you can actually be on a Python prompt and communicate with the interpreter directly.

3. Object-oriented program: Python supports the Object-Oriented programming style or approach, which encapsulates code within objects.

4. Beginner friendly: In many institutions, most of the lecturers start with the Python language. Python is a language that provides a great advantage to Python developers who are new to coding. Python is a great language for novice programmers as well, it facilitates the creation of a variety of programs, including simple text editors, web browsers, and games.

Major software companies using Python

  • Google
  • Netflix
  • Amazon
  • Instagram
  • Spotify

Introduction to JavaScript

JavaScript is adaptable and frequently used in web pages where its implementations allow users to engage with client-side scripts and create interactive pages. It is an interpreted programming language with object-oriented characteristics.

JavaScript is a scripting language. In other words, JavaScript makes it easier to automate website and app processes. JavaScript was first developed as a front-end language to offer dynamic functionality to browsers, which was not possible with HTML and CSS alone.

The popularity of JavaScript skyrocketed after Node.js became a popular backend language in 2009 because developers could use JavaScript to create both client-end and server-end code. One most important things are the translator does not compile JavaScript code, they translate it.

The JavaScript code translation is handled by this embedded translator in the browser. It is widely used by web developers all over the world. JavaScript was originally named LiveScript, but Netscape changed it to JavaScript. LiveScript debuted in Netscape 2.0 in 1995. Netscape, Internet Explorer, and other web browsers all contain the general-purpose core of the language.

Javascript vs python performance.webp

Uses of JavaScript

  1. It is used to build robust web pages and applications. With a touch of a button, you can reveal or conceal more information. When the mouse hovers over a button, the color of the button changes. On the site, scroll through a carousel of photographs. Zooming in or out on the picture.
  2. JavaScript framework is used to create mobile applications in React Native. Different JavaScript frameworks are available for developers to use while creating web and mobile applications. An actual framework for creating websites or online apps is a JavaScript framework, which is a set of JavaScript code libraries that give developers ready-made code to utilize for common programming features and tasks.
  3. It provides many libraries and frameworks for game development.
  4. Web pages can incorporate interactive behavior.
  5. Building web servers and creating server apps is helpful.

Features of JavaScript

  1. This scripting language is object-based. As the JavaScript engine (interpreter) analyzes and executes JavaScript statements one at a time, JavaScript is also regarded as an interpreted language.
  2. It grants the user additional browser control.
  3. Both the client and the server can use this language.
  4. JavaScript has complete DOM manipulation functionality.
  5. It provides engaging interactive components for web pages.

Characteristics of JavaScript

Since JavaScript is client-side technology, it can carry out simple calculations on the browser. Every task does not require the browser to request the server's time. This is particularly beneficial if a user wants to carry out these calculations repeatedly. In many situations, connecting to the server would require much more time than executing the calculations yourself.

As JavaScript is interpretable by browsers, it eliminates compatibility and compilation issues. It can therefore be used on platforms that support Netscape, including Windows, Macintosh, and others. Additionally, they can be included in any other script that uses JavaScript, such as HTML.

The user's browser and OS details can be accurately detected by JavaScript. Even though JavaScript works on all platforms, there may be instances where we need the user's browser to process. This can be useful while writing code that generates distinct outputs in various browsers.

When using forms, JavaScript can be really helpful. It can speed up processes by checking mistakes in the input data. Before transmitting the data to the server, JavaScript checks to see if the user has left a mandatory field empty or if the data is in error.

Your first program

JavaScript statements should be inserted between the "<script>... </script>" HTML tags on a web page that can be used to implement JavaScript.

The "<script>" tags, which contain your JavaScript, can be placed anywhere on your website, however, it is typically advised that you put it inside the "<head>" tags.

Before Starting your JavaScript program, it is necessary to have some idea about HTML and its syntax. It is strongly advised to have the particular language extension to debug and compile.

<html> 
<body> 
<h2>JavaScript</h2> 
<script> 
document.write("This is Java Introduction");
</script> 
</body> 
</html> 

As we saw in Python, to print the statements we used print statements but here we have used a document, written inside script tags of HTML code. You can also write your JavaScript code separately and embed it in HTML.

Advantages of JavaScript

  1. Less interaction with the server because you may check user input before submitting the page. Because of the reduced server traffic, your server will always have less traffic.
  2. The visitors receive immediate feedback and don't have to wait for the page to reload to find out whether they forgot to type something.
  3. Enhanced interactivity – you may design interfaces that respond when the user moves their mouse cursor over them or presses a keyboard shortcut to activate them.
  4. You can use JavaScript to integrate sliders and drag-and-drop elements to provide your site visitors with a rich interface.

Major software companies using Javascript

  • Microsoft
  • Uber
  • Facebook
  • Paypal
  • eBay

Python vs Javascript comparison

These two are the best programming languages and they do not necessarily need to be replaced by one another. Before we continue to analyze the differences between Python and JavaScript, it is important to know that in reality, combining both will allow you to maximize their advantages. Instagram uses Python on the server side and JavaScript on the client side to manage its massive amount of traffic.

However, as our goal is to identify a clear winner, we will delved into each of these universes and presented a set of criteria for comparison and contrast. The following are the primary considerations you need to take into account:

Python vs Javascript: Speed and performance

Python is a wonderful choice for CPU-intensive jobs in terms of speed and performance, whereas JavaScript is better suited for dynamic and real-time interactions. The entire point of developing JavaScript was to make the web more responsive and quick. As Node.js has multithreading, a capability that Python lacks, Node.js is therefore slightly faster. The debate between Node.js and Python for back-end programming is therefore frequently important in the development sector.

On the other hand, processing massive data files, CPU-intensive tasks, and large-scale applications are Python's strongest suits. Additionally, performance will be improved if your developers know how to optimize Python code using Cython or NumPy. Therefore, as mentioned above while comparing Python with JavaScript in terms of performance, JavaScript comes out on top.

Python-based software will take longer to respond, making it inactive for the user community. Therefore, if you are interested in creating websites that function well, you must use JavaScript. If done by competent developers, both languages can be utilized to quickly build a simple MVP. Python's ease of reading and debugging, allows for a shorter time-to-market for complex projects. Python encourages efficient collaboration.

With JavaScript, things can quickly become extremely intricate, which may result in lengthier development times. Many businesses have shifted to TypeScript as a result, which some developers claim is even simpler to comprehend and manage than Python.

Python vs JavaScript: Scalability

Python apps are less scalable since they only operate one thread at a time, whereas JavaScript apps are very scalable due to their multithreading feature.

You can consider Node.js development right away if you want your application to scale and meet growing business needs. You can scale the application and increase the number of threads whenever necessary. Scalability and encouraging asynchronous programming are two goals of Node.js. Thus, Node.js is much better suited for the creation of programs that depend on execution speed.

In contrast, Python employs the Global Interpreter Lock (GIL), which does not provide good concurrency support and makes it more difficult to use many processors with threads. However, you can take control of distributed workflow by using its multiprocessing library.

Python vs JavaScript: Popularity

The popularity metric used to compare Python and JavaScript has evolved as each language has gained popularity due to its distinctive advantages. If we must be more specific, though, Python currently has the upper hand.

The most popular programming language is JavaScript, citing the Stack Overflow Developer Survey 2022 (10th in a row).

Survey results show that Python app development, on the other hand, has recently turned the table. For instance, according to the 2022 PYPL index, Python is the most widely used programming language, moving JavaScript to third place.

And Python has won first place over Java, C, and JavaScript, according to the TIOBE Programming Community Index 2022.

Popularity of Python vs JavaScript.webp

Python vs JavaScript: Inheritance

Inheritance is one of the four essential principles of object-oriented programming languages. This method refers to a class's capability to inherit the traits and methods of any other class, including its parent class.

Python is a true object-oriented programming language that uses a class-based inheritance system, but JavaScript is not a completely object-oriented language. Although JavaScript introduced the idea of classes, it relies on a methodology based on software prototypes to implement inheritance.

Python vs JavaScript: Numeric types

While comparing Python vs JavaScript for the backend, Python has a wide range of numeric data types available, whereas JavaScript only has floating-point variables available.

Data that is recorded in a database column as a number and not in any other form of description is known as a numeric data type. Numeric kinds stand apart from other forms of data because they can be calculated mathematically and statistically. Modern V8 engines and browsers also enable a new basic type, despite JavaScript's constrained set of variables.

Python, on the other hand, offers a variety of numeric data variables, including float, fixed-point decimal, and int.

Python vs JavaScript: Implicit conversion

JavaScript is a weakly-typed programming language in terms of implicit conversion, whereas Python is strongly-typed.

Simply, Python does not perform implicit data type conversion. However, it supports both strong and dynamic typing. JavaScript, in this context, is weakly-typed since it offers implicit data type conversion.

Python vs JavaScript: Modules and libraries

JavaScript only has a few built-in modules, such as JSON and Math, whereas Python has a large number of ready-to-use modules and libraries.

Python vs JavaScript: Web development and mobile development

Python web development responds slower than JavaScript web development, but JavaScript web apps code better, function quicker and manage a lot more data.

Due to the asynchronous programming capabilities of the Node.js frameworks, which provide high-end scalability to the apps, JavaScript excels in this area. On the other hand, Python is the ideal choice for the server side because it speeds up the development process and offers a stable environment with frameworks like Django, Pyramid, and Flask.

Python can be used to design GUI applications, although initially, it did not facilitate the creation of native-looking mobile applications. Although JavaScript's initial purpose was website building and management, developers frequently utilize JavaScript for mobile app development as well.

Python vs JavaScript: Machine learning

The primary language of choice for ML programmers is Python. It is incredibly logical. The difficult process of machine learning necessitates a huge amount of data. Python has long been the industry standard for data science since it is a simple and understandable programming language that makes life easier for programmers by removing ambiguity.

Some of the most prominent machine learning (ML) frameworks include TensorFlow, Scikit-Learn, and PyTorch. They are all developed mostly in Python and have specific Python APIs, which is the most frequent way to utilize them. TensorFlow announced a JS version of the framework in 2018, allowing developers to create machine learning models that run in the browser or on a Node.js server.

However, that isn't enough to defeat the ML community. Python is highly suited for machine learning, and it cannot be replaced by another language in the near future.

Python vs JavaScript: Jobs

Python and Javascript both languages offer many job opportunities to programmers. Here are a few job opportunities for both Python and JavaScript programmers.

JavaScript Jobs:

  1. Full-stack Developer
  2. UI/UX Designer
  3. DevOps Engineer
  4. Web Application Developer
  5. Web Designer

Python Jobs:

  1. Data Scientist
  2. Machine Learning Engineer
  3. Quality Assurance Engineer
  4. Data Analyst
  5. Product Manager

Future for Python and JavaScript

Almost everything we discussed in this article lends credence to the idea that comparing Python with JavaScript isn't actually fair. There are differences in how these languages are actually applied in software development because they were created with diverse goals in mind.

And it is precisely those differences that allow these technologies to smoothly complement one another in the digital age of programming.

At present JavaScript currently appears to be the most effective toolkit for creating websites and mobile applications. It is evolving more and more into a general programming language, but it is unclear whether it would be a good substitute for Python. Python will probably totally rule the machine learning industry as well as the educational sector because of its readability, simplicity, and ability to manipulate data.
In conclusion, a variety of factors, including the nature of your assignment, the availability of developers, and many more, will affect the tech stack you choose.

Conclusion

The well-known trio of HTML, CSS, and JavaScript is the best choice if you're starting off in web development. But Python is the best choice for anyone interested in learning about or working with machine learning, data science, or neural networks. Naturally, selecting between the two languages involves more than just whether one is better in the market. What matters most is your goal, and whatever language can best achieve that goal.

You can accomplish practically anything that JavaScript allows you to do using Python. Both programming languages have a variety of characteristics, such as lexical scoping and the use of many paradigms. However, there are certain differences between the two that should not be ignored.

There are many libraries and extensions for Python and JavaScript that allow users to go beyond what is offered as built-in functionality. Despite the fact that both languages offer a wide range of employment options, Python has a wider market reach and is also simple to comprehend.

Now it’s your turn to choose which programming language you have to proceed with.

Author

  • Python vs JavaScript - A Complete Introduction

    S.Harihara Sudhan

    Harihara Sudhan is an upcoming data scientist in Japan and actively participates in writing technical blogs. He is an open-source contributor who has contributed technical writing to many events. He has developed many contents in machine learning, Information technology.

Frequently Asked Questions

R or Python is used in the majority of machine learning applications. But several Machine Learning libraries for JavaScript are now getting more prominent. Many JavaScript libraries have been developed to work on Machine learning Operations that can be carried out in the browser.

Yes, provided you are learning the programming language for the first time and have no prior programming experience. Python's simple variables and functions make it easier than JavaScript in terms of comparison.

Despite the fact that Python can connect to popular databases like SQLite, MariaDB, MongoDB, etc., Node.js provides more thorough and seamless support for databases.

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