The Power of Python: Why it Reigns as the Best Programming Language

Dozens of programming languages are actively used in the modern world, and their number is only growing. But among the most popular, we still see C and C ++, C # and Go, Java and JavaScript, Python and Ruby.

Each of them has its own characteristics and advantages. For example, C and C++ are low-level and give the user control over what happens in the computer’s processor. Java is popular for building complex applications, typically used by large companies that value time-honored technology.

JavaScript is number one for browser-based app development because it’s the only one directly supported by browsers. But why is Python much popular among these programming languages? We will dedicate this whole article to investigating why this programming language is so popular and what makes it better than others. Let’s get started!

What Is Python Language?

Python is a popular programming language that’s been around for a while. It’s like any other language; it lets us write all sorts of commands to get what we want. Its syntax is so simple that even if you’re just starting out, you can write almost any kind of instruction.

For example, if you want to display “Hello!” on the computer screen, the required command in Python for this will look like this:

This simple set of commands and syntax makes it easy for anyone to learn Python. High readability is one of the features of the language that has led to its huge popularity among programmers. In addition, using this language, you can easily demonstrate important concepts of object-oriented programming, even to children. Other useful features of this language are listed below.

1. Built-in data structures.
2. Encourages code reuse.
3. Availability of an extensive standard library.
4. Ultra-fast edit-test-debug cycle.

Python emphasizes a simple approach to programming that can be interpreted and understood without learning complex syntax. In addition, as mentioned above, the language supports code reuse and splitting it into modules/packages. All these features make it a fairly efficient programming language.

History of Python Programming

Python is a high-level, general-purpose programming language. It has a wide range of uses and is often used to create applications and websites. It’s an open-source, object-oriented language with dynamic semantics. It was originally developed using the C language.

In 1989, Guido Van Rossum created a new programming language called Python and released it in 1991. The main goal that the author set for himself is to simplify the programming process. To make it easier to write code, it must become more readable and understandable for humans. It is open source. One of the advantages of this language is the ability to run programs on it both on Windows and on macOS and Linux.

Why Is Python Such a Popular Language?

The Python programming language is perhaps one of the most popular. Used in web development, Data Science, machine learning (ML), and artificial intelligence (AI), its application’s scope is truly limitless. But the main advantage of this programming language is its low entry threshold. In other words, almost anyone can learn to program in this language.

Development giants such as Google, Meta, Stripe, Spotify, and Netflix use it in their products. Therefore, there is no doubt that the Python programming language can be a promising career start for a programmer.

Python has an easy-to-understand syntax. Even someone who doesn’t know much about programming will be able to follow the logic of a single line of code. But what else makes Python so popular today? Let’s find out.

1. Running Python code is possible on any PC. There are interpreters for it everywhere. And this means that the developer can immediately see the result.
2. Interpretability dramatically simplifies testing and moving small blocks of code from platform to platform. Compatibility with most existing operating systems makes it a universal programming language.
3. It is excellent for those who are just starting to program. This high-level language allows the developer to focus on the essence and goals rather than specific steps and procedures. For this reason, writing scripts in Python is faster than in many other languages.
4. Its similarity to natural language (English) makes it much easier to learn when compared to other programming languages. It is easy for a developer to memorize its syntax and start reading the code.
5. Last but not least, reliability makes this programming language very popular.

These are the five reasons why programmers, hackers, and data scientists are so fond of Python.

The key factor in choosing it is the flexibility of this programming language and its compliance with the OOP paradigm. Therefore, it is actively used in Data Science and machine learning (ML).

Why Python Is Better Than Other Languages?

We all know many programming languages are in the modern IT market. As a result, the programmer has to choose which technology to work on. And recently, more and more developers have preferred Python.

Why is this happening? To understand this, let’s compare Python with other popular languages.

Comparison of Python and PHP

In terms of the programming paradigm, PHP is an object-oriented language. Therefore, an application created in PHP is a collection of individual scripts.

And Python is a universal language that can also be used to create web applications. Here are the comparative characteristics of Python and PHP.

1. Popularity

Many consumers and product owners tend to use only popular technologies in their projects. As a consequence, developers also have to follow trends. But in popularity, Python and PHP are on par with each other: they are both widely used in development. For example, PHP created projects like Wikipedia, Yahoo, WordPress, etc. And Python was chosen to create YouTube, Instagram, Quora, Spotify, etc.

1. Frameworks

One of the crucial factors when choosing a programming language is the number of frameworks. They greatly simplify the developer’s work, making it more comfortable. The most popular PHP frameworks include Laravel, Symfony, and Codelgniter, but there are other PHP frameworks as well. Of course, there are fewer Python frameworks. The most popular ones are Django and Flask. But growing communities tend to create more and more frameworks, so the number of Python frameworks may soon change.

1. Study

If you want to learn a programming language, it’s worth knowing how simple or complex it is considered. Python is definitely the winner here – its syntax is simpler and lighter than PHP. But PHP was created specifically for web development, which is why it is often chosen in this area, even though it is more difficult.

Comparison of Python and Java

Some developers insist that Python is more productive than Java. Let’s discuss this.

Java is a statically typed language, so variables must be declared with a type. And Python is a dynamically typed language. It does not require a type specification for variables. Constant discussions about the advantages and disadvantages of dynamic and static typing in different programming languages exist.

Java allows cross-platform application development, but Python is also compatible with many operating systems. However, Java has one significant advantage: the ability to create network applications.

In terms of language complexity, Java is much more complex than Python. And therefore, learning this language without a technical background will not be easy.

Comparison of Python and C#

Let’s now compare Python and C#. Of course, these technologies are different from each other, but both can be used for web development.

Python has a simple syntax, so it’s easy to read. In addition, it does not have syntax brackets, a large number of modifiers, C-like constructions, etc.

On the other hand, C# is quite similar to Java and C++, which is expressed in a C-like syntax. C# syntax requires developers to follow certain rules when writing methods or inheriting classes.

In general, it is tough to say which language is better: C# or Python. Python is easier to learn and has many open-source libraries. But the standard C# the library is better than the one in Python. Also, C# offers better performance.

Comparison of Python and Ruby

The first thing to note is the popularity of Ruby in the web development industry. For example, Basecamp, Github, and Slideshare are created in this language.

Both Python and Ruby are object-oriented languages that are dynamic and flexible. But they approach problems in different ways. Ruby offers several options to choose from, while Python only has one. But this fact can be considered both an advantage and a disadvantage of each language.

The most widely used Ruby framework is Ruby-on-Rails. It is quite similar to Django, a Python framework. Both of these technologies have numerous communities.

Both frameworks offer approximately the same conditions in terms of web development since every single problem can be solved using Ruby-on-Rails and Django. They both technologies are fast and efficient.

Overall, what programming language to choose for creating a web application? This question is not easy to answer because a lot depends on the requirements of your project and business goals.

Python has an extensive community behind it, which is constantly developing the language. Currently, it is widely used in financial technologies, data science, and machine learning. As a result, giants such as Google, Yandex, and Dropbox support this technology and create large projects with its help. And this is why Python is the most popular and better language among other languages.

Advantages of Python

Experts identify a lot of advantages of Python – let’s focus on the key ones.

1. The simplicity of syntax means a low entry threshold

The language code is clean and understandable, without unnecessary symbols and expressions.

1. Expandability and flexibility

No wonder one of the slogans of the language is “Just Import!” Python can be easily extended to interact with other software systems or built into programs as a component. It is very, very flexible. This gives more opportunities for using the language in different areas.

1. Interpretability and cross-platform

The Python interpreter is available for all popular platforms and is included by default with most Linux distributions.

1. Standardization

Python has a single standard for writing code – Python Enhancement Proposal or PEP so that the language remains readable even when moving from one programmer to another.

1. Open source

The Python interpreter is open source, which means that anyone interested in the language’s development can participate in its development and improvement.

1. Strong community and conferences

A friendly community has formed around Python, which is ready to help a novice or an experienced developer figure out his problem. There are many events around the world where you can meet colleagues and learn a lot about using this language.

1. The breadth of application:

Python is most widely used in web development, data manipulation, business process automation, and game development.

1. Demand in the labor market and support by IT giants:

Python developers are in demand in many projects, and finding work is not difficult for them. Python development is carried out in Google, Facebook, Dropbox, Spotify, Quora, Netflix, and Microsoft Intel. This seriously affects the status of the language.

Scopes of Python

Python is a programming language widely used in various fields, including web development, machine learning, data science, and more. Its broad range of capabilities and various applications have made it an indispensable tool for many companies and developers. This section will discuss the different areas of Python that can be used to build robust programs. Let’s begin!

Web development

The entire server side of the website can be written in Python. But not in pure Python but in popular frameworks (Django, Flask), which, in turn, are written in it. These frameworks simplify the process of generating HTML pages the user sees in his browser, database queries, and address processing.

To date, many additional tools for implementing web applications have already been written. For example, using HTMLGen authored by third-party developers, you can add ready-made classes for an HTML page in Python; The mod_python package helps you run Apache scripts while still maintaining stable Python Server Pages templates.

Visual interface

In graphics, many tasks are also solved using this programming language. Suppose you need to adapt the created graphical interface to the style of the operating system where the application will run. In that case, you can use this language with additional graphical libraries, Dabo and PythonCard, which will significantly simplify the development process.

Database

The modern version of “python” was created in such a way as to interact with any database as simply and clearly as possible. In particular, the working environment of the language contains a programming interface for working with databases directly in the script using SQL queries. Its code will require only minimal modifications if you need to use it for Oracle and MySQL databases.

System programming and administration

Python has interfaces for managing services of various operating systems in which it runs – Linux, Windows, etc. Therefore, writing portable applications for PC using this language is convenient. Also, using this language, you can speed up opening and searching for files in folders, launching programs, calculations, and other typical tasks.

Complex calculations

In the field of computing, the Python programming language is no less advanced than C++ and FORTRAN. To perform mathematical calculations, a NumPy extension has been created that works with equations, data arrays, and their other formats. From installing this extension on your PC, python instantly integrates with formula libraries.

However, NumPy can be used, in addition to calculations, also for creating animations and rendering 3D objects (which requires a lot of calculations in parallel). Another popular addition to this programming language, called ScientificPython, has its own libraries for scientific computing.

That is, Python helps not only with calculations but also with the visualization of the received data.

Machine learning

In machine learning, not only the main toolkit of the Python language is actively used, but also frameworks, as well as additional libraries “tailored” specifically for ML. The most popular among them are TensorFlow (a low-level library allowing users to create algorithms independently) and sci-kit-learn (which already contains the most common learning algorithms).

In the Python programming language, such a function for machine learning is written, with the help of which voice and face recognition systems work. Furthermore, deep learning experts and neural network creators use this language.

Gamedev

Many people take the gaming industry lightly and in vain. The gaming industry led to the emergence of many convenient and useful gadgets, giving a powerful impetus to the development of digital graphics and other developments. Creating a large project on Python alone will not work – it occupies a rather modest place and performs a narrow set of functions.

However, if you are a fan of Python, you can write small applications and indie toys on it. Regarding multiplatform games, they usually choose the Unity engine written in C # – this tool was created just for game development.

Why Choose Python Programming Languages For Your Projects?

Python is an excellent choice if you are looking for a flexible, easy-to-use, and powerful programming language for your software projects. Here are a few reasons why you should consider this programming language for your projects:

1. Simplicity and Easy to Read

The syntax of Python is straightforward and concise, making it easier to work with. This also leads to fewer errors and more reliable code.

1. Popular and Large Libraries

Python has a vast collection of open-source libraries for various tasks like data analysis, web development, desktop apps, machine learning, and more. This allows you to solve complex problems without reinventing the wheel.

1. Productive and Concise

You can achieve more in fewer lines of code with Python compared to other languages. This makes programming in this language very productive and speeds up development.

1. Easy Integration

Python integrates well with other languages and tools. You can easily use Python with C/C++ or Java code, and it works great with tools like Docker, Kubernetes, TensorFlow, PyTorch, and more.

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Conclusion

To sum up, Python has become the most popular programming language due to its simplicity, powerful libraries, and wide application in various fields.

However, it has drawbacks, such as slower performance and unsuitable for some development types.

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FAQs

Is it better to learn C++ instead of Python?

The programmer must choose what to teach. It also depends on the needs. If you are interested in systems or low-level programming, then pay attention to C ++.

If machine learning is closer, then Python is more suitable. You can also get acquainted with web programming using the example of Ruby, JavaScript, Angular, etc.

It all depends on interests and needs. Plus, it will never be superfluous to know several programming languages.

Which is better if you choose from C++, Python, and Java?

All three languages have their advantages and disadvantages. C++ is renowned for its performance, speed, and memory management. In Java, the main thing is its platform. At the same time, for Python, the main thing is simplicity, readability, and support from the community.

Personal preferences will help you make a choice. Without this, it is impossible to say which language is better.

What 5 businesses use Python?

Python is one of the four core languages used by Google, and it’s used by Google’s YouTube. It’s also used by Reddit, Pinterest, Instagram, and a bunch of other big companies, like Intel and IBM and NASA and Pixar and Netflix and Facebook and JP Morgan Chase and Spotify.

How Python development can benefit your business?

Any business vertical can use Python to build web or mobile apps. Python is used in the areas of Artificial Intelligence, Data Analysis, Data Science, Mathematics, Machine Learning, etc. and any related business can use Python.

What is the use of Python in startups?

Python accelerates the development process, lowers the development cost, integrates libraries, and guarantees security, scalability, and stability. Many big tech companies adopted this programming language in the early stages and achieved tremendous success with their python startup ideas.

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