Python is a high-level, interpreted, general-purpose functional programming language with a strong emphasis on readability. In comparison to Java or C++, Python’s syntax allows programmers to code in fewer steps. In addition, the language, which was created in 1991 by developer Guido Van Rossum, makes programming simple and enjoyable. Because of its various programming paradigms, Python is commonly used in larger organizations. It comes with a vast and extensive standard library, as well as memory management and dynamic features.
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1. What Are The Advantages of Python?
The Python language’s wide range of applications is due to a combination of features that offer it an advantage over other programming languages. But why do many companies prefer Python and what benefits does it provide. Let’s find out!
1.1. Why Companies Prefer Python?
Python has surpassed other programming languages such as C, C++, and Java in popularity in recent years and is widely used by programmers. Many add-on features have been added since the language’s release 25 years ago, resulting in a significant transition.
- Python 1.0 used the Modula-3 module system and interacted with the Amoeba Operating System using various tools. Python 2.0, which was released in the year 2000, included garbage collection and Unicode support.
- Python 3.0, which was released in 2008, had a constructive architecture that avoided duplication of modules and constructs. Companies are now using Python 3.5 because of the new functionality.
Software development firms prefer Python due to its versatility and lack of programming codes. It is used by nearly 14% of programmers on operating systems such as UNIX, Linux, Windows, and Mac OS.
In addition, Python is used by big corporations’ programmers since it has made a name for itself in software development with features such as Interactive, Interpreted, Modular, Dynamic, Object-oriented, Portable, High level, and Extensible in C++ & C.
1.2. The Advantages of Coding in Python
In software development companies, the Python language has a wide range of uses, including games, web frameworks and applications, language development, prototyping, graphic design applications, etc. This gives the language a more comprehensive range of capabilities than other programming languages in the industry. The following are some of its benefits:
- Extensive Support Libraries
It offers extensive standard libraries in string operations, the Internet, web server resources, operating system interfaces, and protocols. The majority of commonly used programming tasks are already scripted into it, which reduces the amount of code that needs to be written in Python.
- Integration Feature
Python includes Enterprise Application Integration, making it simple to create Web services using COM or COBRA components. It has extensive control capabilities since it uses Jython to call directly from C, C++, or Java. Python can also process XML and other markup languages since it uses the same byte code to run on all modern operating systems.
- Improved Programmer’s Productivity
Compared to languages like Java, VB, Perl, C, C++, and C#, the language has comprehensive support libraries and clean object-oriented designs that improve programmer productivity by two to ten times.
Its good process integration functionality, unit testing platform, and enhanced control capabilities contribute to improved application speed and efficiency in most cases. It’s an excellent choice for creating multi-protocol network applications that are scalable.
2. Why Python is Among The Fastest-Growing Programming Languages?
There are several reasons why Python is the best programming language in the tech industry. From machine learning to web development, the Python language finds uses in industries and companies that most of you are familiar with. It is an interpreted, object-oriented, and high-level programming that is also among the fastest-growing programming languages used by software engineers, mathematicians, data analysts, scientists, students, and other professionals. Here, we have listed some of the top reasons why Python is the best among the best programming languages in the world.
2.1. Python is Easy to Learn and Use
Python is incredibly easy to learn and use for beginners and newcomers in the industry. The language is the most accessible among all the programming languages available because it has simplified syntax that is not complicated and emphasizes natural language. Due to its ease of learning and usage, Python codes can easily be written and executed much faster than other programming languages. One of the main reasons Python’s popularity has exponentially grown is its simplicity in syntax so that it could be easy to read and developed by amateur professionals.
2.2. Python is Handy for Web Development Purposes
According to expert professional web developers, Python is among the most convenient programming languages among the other alternatives. Due to the availability of its vast range of applications with in-built solutions to standard web development tasks, the speed of a single project increases by many times.
2.3. The Language is Extensively used in Data Science
Whichever path you choose in the tech world, data will always be a part of it. Currently, Python is extensively used in data science. The amounts of data generated by data analytics tools are increasing every day; hence, experts need to learn programming languages like Python to handle advanced technologies for data analytics. Data professionals also need to stay updated with the latest tech developments in the industry to leverage the most advanced technologies.
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2.4. Has Multiple Libraries and Frameworks
Python is quite popular due to its hundreds of different libraries and frameworks that developers can use. These libraries and frameworks are beneficial in saving time and making the language even more useful. Some of the most popular libraries available in Python are NumPy and SciPy, Django, and others used for different purposes.
2.5. Python can be used in Machine Learning tool
Python is used in big data and machine learning research to enhance development in those fields. Python is extremely useful in the AI domain and used in robotics and other tech advancements besides data science.
2.6. Python for Academics
The language has become a fundamental part of curriculums in schools and colleges. Python is in trend with the numerous use cases in data science, artificial intelligence, deep learning, and others. And since there are so many students who wish to pursue tech careers, schools and colleges must include the language in their curriculums.
2.7. Has a Highly Supportive Community
Since it is not only one of the most popular programming languages but is also one of the oldest. Hence, it got the time to gather a growing, supportive community of programmers, developers, and coders. Because of this support, Python learners can quickly develop industry-required skills and be subjected to the proper guidance.
2.8. Flexibility and Reliability
The Python language is flexible enough to provide developers with ample time to try new experiments. Python experts will not just stop at the usual things. Instead, they will try to build new processes, technologies, or applications. It provides the developers with the freedom and flexibility that they need to just learn one language and utilize their best potential and skills.
2.9. Python Automates Tasks
Python language can help automate several industrial tasks that require too many tools and modules. It is incredible to know that one can easily reach an advanced level of automation using the necessary Python codes. The language is considered a performance booster in automation software testing. The developers only need to write a few lines of code for automation tools.
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2.10. The First-choice Always
Python is the first choice for many students and programmers in the world. Many developers and data science students look forward to learning Python due to its vast use cases in the industry. In this way, Python also provides various career opportunities for students and beginners.
3. The Applications of Python
Whatever your development and data science requirements are, Python can handle them. Python is a free, high-level, general-purpose programming language that combines object-oriented, structural, and functional programming features.
3.1. Web Development
Python should be your first choice when it comes to web creation. What is the reason for this? It is because Python provides a wide range of web development options. Django, Pyramid, Flask, and Bottle, for example, can be used to build web frameworks and even advanced content management systems like Plone and Django CMS.
These web frameworks provide standard libraries and modules for tasks such as content management, database interaction, and interacting with internet protocols such as HTTP, SMTP, XML, JSON, FTP, IMAP, and POP.
The stability, scalability, and versatility of Python web frameworks are well-known. In addition, libraries like Requests, BeautifulSoup, Paramiko, Feedparser, and Twisted Python are available in Python’s Package Index.
3.2. Game Development
As previously mentioned, Python comes with a plethora of useful extensions (libraries) that can be used to create interactive games. PySoy (a 3D game engine that supports Python 3) and PyGame, for example, are two Python-based libraries that are commonly used for game creation. Famous games, including Battlefield 2, Frets on Fire, World of Tanks, Disney’s Toontown Online, Vega Strike, and Civilization IV, are built on Python.
Apart from game development, game designers can use Python to create tools to make specific tasks more accessible, such as level design or dialog tree construction, and then export those tasks in formats that the primary game engine can understand. Many game engines still use Python as a scripting language.
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3.3. Software Development
Python packages and programs are designed to make software development easier. Python can do it all, from creating complex applications involving scientific and numeric computation to developing desktop and web applications. Python is used as a support language by Software Developers for construct control, testing, and management.
SCons, for example, is built specifically for build control, Buildbot and Apache Gump allow automated continuous compilation and testing, and Roundup and Trac are excellent bug tracking and project management tools.
Python also facilitates data analysis and visualization, making the process of developing custom solutions much easier while requiring less effort and time.
3.4 Enterprise & Business Applications
Enterprise-level software, also known as business applications, differs significantly from standard applications in that the former requires readability, extensibility, and scalability. On the other hand, company software is created to meet the needs of an enterprise rather than individual consumers.
As a result, these apps must be able to integrate with legacy systems such as databases and non-web apps. In addition, the entire development process becomes quite tricky because business applications are designed with custom specifications in mind to cater to the particular needs of an organization’s operating model.
Python will make a big difference in this situation. Python’s high efficiency, scalability, versatility, and readability are just a few of the characteristics that make it ideal for building fully functional and productive business applications. Python also has other methods for developing business applications, such as:
- Odoo is an all-in-one management platform that includes a full range of business management tools.
- Another excellent tool for developing business applications is Tryton, a three-tier, high-level, general-purpose application framework.
3.5. Education Programs & Training Courses (E-Learning Application)
Python is one of the most beginner-friendly programming languages with its straightforward syntax similar to the English language. Moreover, it has a low learning curve and is thus a good option for beginners. Hence Python is one of the most widely used programming languages in educational programs, both at the beginner and advanced levels, due to its ease of learning and simplicity.
3.6 Scientific and Numeric Applications
Python has become an essential tool in science and numerical computation due to its extensive library base. Python, in reality, serves as a foundation for applications that deal with analysis and scientific data processing. For example, python is used to create apps like FreeCAD (3D modeling software) and Abaqus (finite element process software).
The following are a few of the most useful Python packages for scientific and numerical computation:
- SciPy (Scientific Numeric Library)
- Pandas (Data Analytics Library)
- IPython (Command Shell)
- Numeric Python (Fundamental Numeric Package)
- Natural Language Toolkit (Mathematical And Text Analysis)
3.7. Audio and Video Applications
Python’s performance is also well-known in audio and video applications. When dealing with audio and video files, you’ll find that you have all the resources and libraries you need to get the job done. Basic signal processing, innovative audio editing, audio recognition, and other tasks can be quickly done by libraries such as Pyo, pyAudioAnalysis, Dejavu, and others.
In terms of video, Python provides several libraries, including Scikit-video, OpenCV, and SciPy, that can be used to manipulate and prepare videos for use in other applications. Spotify, Netflix, and YouTube are just a few of the standard audio and video applications written in Python. We hope that this has given you a good idea of Python’s strengths when working with audio and video files.
4. Best Way To Hire Python Developer
4.1. Global Python Developer Rate
Python is the primary user-programming language for the Raspberry Pi and supports a variety of programming paradigms. It is also open source and is used by Wikipedia, Google, Reddit, and NASA. Statista shows the most sought-after programming languages among software developers worldwide, as of early 2020. According to the survey, Python was the most desired language, with 30 percent of respondents saying that they want to learn it.
With its place being high on the most used programming language ranking list, most Python developer hourly rates range from $61 to $80 per hour globally.
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4.2. Hire Python Programmer in Vietnam, Why?
Python Developer hourly rates in Vietnam IT Market range from $20 to $40 depended on the experience and position of the developer.
Compared to hiring a developer in the United States or other countries like the UK, Netherlands, Ukraine, etc., the cost of hiring a developer in Vietnam is considerably lower. For example, a Vietnamese developer would cost you around 50 percent less than the global Python Outsourcing cost mentioned above.
According to TopDev’s report, Vietnam has about 400.000 IT Enginners and over 50.000 graduated IT Students from over 153 IT Institutions per year.
- Vietnam ranks 29th in terms of Skillvalue Worldwide in Developer Skills Chart Of Skill Value Report in 2018.
- Top 06 worldwide in Developer Skills Charts Of Topcoder Report in 2016.
- Rank 23rd worldwide in Developer Skills Charts of Hackerrank’s Report in 2016.
And since the primary goal of outsourcing is to reduce costs, here at Savvycom, we always aim to provide the best possible quality at the most reasonable price for a growing business.
Python is a versatile programming language that allows for quick code line use, excellent maintenance, and simple debugging. It has grown in popularity around the world due to Google’s decision to make it one of its official programming languages.
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Python remains a popular choice among numerous companies and organizations among the hundreds of programming languages out there. Some familiar names that use Python include Google, Meta, Venmo, Spotify, Netflix, and Dropbox.
Python has a solution for every field. Until now, it is the most universal language until now and has a bright future ahead. There is a long list of domains where Python is considered the most appropriate programming language. The significant fields include Machine Learning and AI, Web Development, Data Analytics, Game Development, IoT, Application Development, and Game Development.
Many sectors, including the healthcare sector, finance sector, aerospace sector, and banking sector, rely heavily on Python. Many big names have either built their applications on Python or shifted their tech stack to Python. Some of these include YouTube, Google, Instagram, and Pinterest.