The technology you select to study is significant for your future. If you make the incorrect decision you’ll get lots of trouble instead of a well-paid job you like doing. If you are reading this article it means you’ve already considered selecting the Python program as a future profession. In this article, we will discuss the benefits of Python compared to other programming languages. We will find all the differences between Python and C, Ruby, PHP, Node.js and Go Language to understand what technology you require. But before we do that, let’s find out what is Python used, who uses it, and why.
PYTHON CHARACTERISTICS
Some characteristics of Python include:
- Easy Coding Language
- Readable (and hence more maintainable)
- Productivity
- Simple to Learn
- Crisp and Clear Application Code
- High-Level Programming Language
- Flexible
- Open Source Programming Language
- Supports Various Popular Programming Paradigms
- Immense Number of Robust Standard Libraries
- Faster and Speedy Application Prototyping
- Easy for creating Complex Applications
- Various Frameworks and Tools Available
- No Requirement for Code Recompilation
- Decrease Project Overheads
- Test-Driven Development without trouble
WHY PYTHON IS POPULAR?
The language’s two main advantages are its simplicity and adaptability. Its straightforward interface, use of whitespace, and pretty organized code make it simple to learn, read, and share. Python is also extremely popular for its easy programming pattern, code readability, and English like commands that make coding in python a much easier.
With such a quickly developing user database and a wide array of abilities, Python might become the most wide-spread and user-friendly language in the world of coding. Though as we understand nothing remains forever, Pythonistas should understand that there can come a moment when python is no longer at the top. Technology is constantly changing and so have been the languages since the past.
This indicates that this language has a lot of fan base and people are satisfied using it even though it has its cons. All those custom-built software includes everything from game development to science and can be introduced into a python program in a matter of moments.
WHERE TO USE PYTHON LANGUAGE?
For many ages, Python has been on the top of several popularity rankings for programming languages. The language can be utilized for almost anything. It is directed at enhancing the productivity of programmers rather than the code they write. Making a career in Python is extremely beneficial as it used in web, desktop applications development, automation scripts, complicated calculation systems, scientific computing, life support management systems, Internet of Things, robotics, natural language processing, games, and many more.
COMPARING PYTHON WITH OTHER LANGUAGES
Though Python is a multi-paradigm and an evaluated language, it has many similarities and dissimilarities as correlated to other programming languages.
It is influenced by Java, ABC, C++, Perl, Haskell, etc. and has influenced languages like Ruby, JavaScript, Go, Swift, Groovy, Cobra, Falcon, etc. This means Python has something to associate with these languages. Let’s compare the characteristics of python and other programming languages.
PYTHON & PHP
Both Python and PHP are interpreted, open-source, and high-level languages. Moreover, both languages support cached bytecode, namespaces, GTK, method chaining, QT, and can work on all platforms.
But Python has numerous other features that make it distinct from PHP. Let’s have a look at these features.
- Python has a very simple syntax and uses indentation for writing block of codes on the other hand PHP has a relatively more verbose syntax that consists of curly braces for the block of codes, dollar signs, etc.
- Python supports operator overloading, multiple inheritance, iterators, threading, SWIG integration while PHP doesn’t.
- Applications developed using Python are more scalable as compared to those created using PHP language.
PYTHON & C
- Python and C are similar languages as they offer simplicity and other great advantages.
- They both are object-oriented and middle-level programming languages, and unlike others, offer full support for this type of programming, so that the code is well-structured.
- Both are general-purpose, hence they can be used to create mobile, desktop, and cloud-based applications, business software, and of course web apps.
- They both are an excellent choice for web development. C#, though, is more focused on web development and Windows desktop app.
One of the greatest differences between the two languages lies in the fact that code composed in C is in steps arranged to native code. And the compilation is hard. On the other hand, Python is initially compiled to byte code and then interpreted by the interpreter of the respective Operating System. The learning curve for C and Python is also somewhat different. For C, it is comparatively low, but not compared to Python, which is even easier to learn, particularly for those who are fresher to this domain. C is a more suitable choice for those with moderate to advanced experience with writing code.
PYTHON & GO LANGUAGE
Both Java, as well as GoLang, are interpreted language. Python has runtime generic support and annotation while Go doesn’t have. Python can be used to create GUI based desktop applications, on the other hand, you cannot use the Go language for the same.
Python is used for web development, data analysis, game development, and system administration. On the other hand, Go programming language is used for cloud computing, embedded systems and, distributed systems, etc.
PYTHON & RUBY
Software developers usually prefer Ruby considering it rather a work of art and also a joy. For example, OOP with Ruby suggests that they can call methods on objects, set their own methods, and rewrite methods as they want — that is the capability of the language. But the matter is that Python is more prevalent. It simply can make a programmer more employable in 2020. There are more Python users and more Python developers right now.
Both languages can claim to have a neat syntax but Python as a language is much more anticipated. Everything works and looks the way they are deemed to. And when they do not, it is easily detectable where and what has gone wrong. Ruby’s syntax is laxer but the interpreter pulls in the slack every time you miswrite a line and gives the expected outcome. Anyway, these two languages have many similarities and are both simple to learn. Given the number of resources, it is comparatively easy to develop in Ruby on Rails. Yet, Ruby has less general adoption outside of the Rails community and it is recommended to become pretty good at another language first and then try Ruby. Alternatively, there are a lot of instructional materials based around Python, the language that is broadly used in a more extensive type of field.
PYTHON & NODE.JS
Node.js is most suitable for small projects to enable usefulness, which requires less measure of scripting. Not prudent for memory escalated exercises, Node.js is most suitable for the memory-intensive training.
It supports generators, which makes it extensively clearer. Node.js supports callback. Its programming based on occasion that makes it process faster. Not a perfect platform to accomplish real-time web applications Node.js is an excellent platform accessible right presently to handle real-time web applications.
In case of speed, Node is altogether faster. Moreover, the excellent execution is basically due to Node.js based on Chrome’s V8, which is a fast and fantastic engine. For this reason, Node.js speed versus that of Python is far higher, which settles on it a much-improved decision for real-time applications. Further, if there should arise an occurrence of mistake taking care of and troubleshooting Python overwhelms over Node.js
Conclusion
What programming language to select for web application development? There is no easy answer because the technology will depend on your project demands and business objectives.
Python has a huge community that tends to develop this programming language. These days, it’s common to use Python for Machine Learning, FinTech, Data Science, and so on. As a result, such giants as Yandex, Google, and Dropbox support this technology and create a big project using Python.
Author Bio:
I have been writing custom content, especially related to the educational industry for over 3 years. And provides writing, coaching, and editing services in various domains and usually writes about training institutes and the latest cutting-edge technologies to help students decide which course to pursue and from where. I am the writer by day and reader by night, she also enjoys preparing and editing resumes for individuals.
