The most important features and disadvantages of Python, Python is one of the most beloved programming languages for web application development. It offers many advantages, as simplicity and flexibility are the main reason for Python’s soaring popularity.
- Is Python a front or back language?
- Are Python apps better than others?
- Is Python good with new technologies like machine learning or big data?
As a leader in Python development in the USA, we often receive such questions from our customers. We wrote this article to answer Python’s common questions.
In this World of tech blog, we will discuss the advantages of a Python programming language for your web development project. We’ll address some of Python’s drawbacks as well.
But first, let’s take a quick look at what Python is.
Python - Quick Overview
Python is a programming language. It is a general-purpose language used for a variety of purposes, such as software development, web scripting, and machine learning applications.
Python was founded in 1991 by Guido Van Rossum. It’s one of the most popular programming languages today, according to the June 2021 Tiobe Index. Statistics show that Python’s popularity is constantly growing.
The use of Python extends to several areas such as data analytics, DevOps, web crawler programming, web servers, web analytics, automated testing, computer graphics, game development, and desktop development.
Python is also the best choice in academic learning as it is written in English. It’s easy to learn and offers a clean, readable syntax. You are also able to meet the requirements of data science applications.
Why Python? 8 Advantages of Python
Advantages of using Python There are many advantages to using Python as a web scripting language. It’s a favorite choice for many companies and there are many reasons for itself.
Flexibility, readability, scalability, portability, and speed are some of the benefits of Python. It is also one of the only programming languages that supports math-intensive applications.
So what are the advantages of Python? Why should you use Python to develop web applications?
Multipurpose
Python is a high-level general-purpose programming language with a wide range of applications. From developing websites with frameworks, such as Django and Pyramid to game development, desktop GUI development, and web scripting, Python is a widely applicable language.
It is used on multiple platforms, to develop diverse intermediate products, and spans many application areas.
Python is also an ideal choice for security operations. Information security, website security and cybersecurity are all functions that can be performed using Python. You can read about many live examples of Python web applications in Applications for Python.
Increases developer productivity
Productivity is a huge feature of web projects. Python’s ideology follows conventions and avoids repetitive tasks that take a lot of time. As a result, Python is a very productive language.
Since you write dynamically, it’s easier for a developer to write code for your app and debug it.
Reusing templates and modules is very time-efficient, and the easy-to-use architecture improves the entire development process. Not to mention testing and debugging frameworks, and process integration features have been added to Python’s advantages, making them an ideal choice when working under strict deadlines.
Support for massive offices
The biggest advantage of Python is the number of third-party libraries it supports. A Python library is part of a pre-written code that you can include in your project or set of modules. The Python Standard Library, written in C, comes with basic compositions, symbols, and modules.
Python developers also have an extensive repository of Python components and software in the form of Python Package Index (PyPI). These external libraries can be used for document writing, automated testing, web browser programming, database processing, graphics, CGI, email servers, and interconnection.
In addition, there are also a number of libraries available for scientific and sports jobs, such as NumPy, TensorFlow, Pandas, SciPy, and PyTorch.
Highly portable code
Python is designed to be highly portable. It is supported by all operating systems, Windows, Linux, UNIX and macOS. Python code can run on different operating systems and environments without the need for any modifications. It also includes the Tcl GUI toolkit for implementing portable GUIs.
Python also has incredibly advanced support for integration with other programming languages. CPython’s GitHub page, Python’s reference app in C, has over 38.7 thousand stars and more than 1,500 contributors. Similarly, it can be used in conjunction with Java, C, C++, JavaScript, or Ruby.
In fact, Python is used as a glue for many web applications. Programmers write important programming code in C/C++ or Java and use Python modules to connect different components together.
Easy to learn and use
Easy to read code and simple, easy-to-use designs are important aspects of the programming language. Python employs a sleek, clean, and well-structured design for easy understanding and use.
Flexibility, readability, and a powerful translator make it one of the easiest object-oriented languages to use. Automated memory management is another feature offered by Python. It also supports multiple programming models such as functional, object-oriented, mandatory, and illustrative allowing for easy applications.
A thriving
community Python community is very inclusive and innovative. With an open source license, it included novice Python users and experienced developers. Software developers work in harmony to deliver solutions and conduct intellectual discussions.
With the discovery of the use of Python in new technologies such as machine learning or artificial intelligence and cybersecurity, its popularity has continued to rise. In just the last five years, the number of programmers using Python has almost doubled.
More than a million Python websites currently use server-side programming. Through implementations in many fields, Python has developed a huge community of students, academics, programmers, and scientists.
Part of the LAMP package
is a very popular abbreviation for a range of web technologies that go into building websites and web applications. LAMP, created by Michael Koons, means Linux, the operating system; Apache, HTTP server; MySQL, relational database management system and Python, the programming language.
Although "P" originally meant PHP, Python has long been replaced as the best choice for server-side scripting language. LAMP Stack is a widely used web solution. Most companies and organizations prefer LAMP to develop their websites for various reasons:
- all the technologies included in the stack are free and open source .
- They are flexible and customizable technologies that can suit every development needs.
- Many variants are available such as WAMP, LEMP, LAPP, LEAP and MAMP.
- Safe and secure trusted by a large community.
- Many frameworks and tools available .
- Python has a wide range of development tools and frameworks for each type of use.
Popular full-stack web frameworks like Django, TurboGears, Web2Py include an HTTP application server, a database management system, a typical engine, a request sender for server-side development, and an AJAX toolkit along with client-side UI elements developing.
Small frames like Flask and Pyramid, on the other hand, focus on a certain side.
In addition, content management systems, web client frameworks, and web components are also available for Python application development.
Disadvantages of Python
While there are many advantages of Python, there are also some drawbacks that can hinder your development. It is important to have an understanding of the constraints and plan your project accordingly. Some of the drawbacks of using Python are:
Slow speed
Although Python is high throughput and has a very high development speed, it has a drawback when it comes to uptime. Since they use a compiler instead of a compiler, Python is slow compared to other popular programming languages like Java or C++.
Python is a dynamically written language. All source code is thus compiled at runtime slowing down the speed, especially for large web applications. It’s also an interpreted language, which means that each line is executed one by one which affects the overall runtime speed.
Using high memory
Python software uses a great deal of memory because of its own design philosophies. Having an ideology of “everything you need is already integrated,” means it’s a surprisingly heavy and cohesive framework.
Heavy memory consumption is a trade-off for many of the functions offered by the language. When working with limited memory space, Python is not a convenient option.
There are no mobile computing features
Python doesn’t have enough functionality to create a full mobile app. Mobile app development takes a lot of unnecessary time. But there were new GUI apps like KIvy and BeeWare that could be used for native and cross-platform mobile apps. However, other languages like Java or C++ would be much better for mobile development so there are some language upgrades.
Limited database interactions
Compared to popular technologies such as JDBC and ODBC, the Python database access layer falls short of the required level. However, it cannot be applied in organizations that need seamless interaction of complex data. Data security is also a concern when working with Python.
These were the advantages and disadvantages of Python development. Let’s now take a look at how useful Python is, especially in web application development.
Python’s use in web development
is a general-purpose Python programming language that has different application areas. Some popular apps created with Python are Instagram, Spotify, and Pinterest.
So what’s the point of Python? Some of these common programming language applications are:
Machine learning applications
Machine learning is one of the most important trends in software development today. By applying ML in your app, Python can intelligently consume data and make calculations and predictions. This means that your app, without being explicitly encoded, will automatically perform tasks for you.
Simply put, this enables you to develop apps that include features like handwriting recognition, data mining, facial recognition, and device tracking.
Data analysis and visualization
Data mining and analysis is the most important part of any business. Python provides libraries and tools to extract user likes, dislikes, and preferences. There are also statistical and graphical tools that help you visualize and analyze data to make profits.
Rapid Prototyping
Prototyping works well with Python. Programmers create an application prototype to showcase its core functionality to customers rather than encrypt the entire app. Restructuring the prototype code for app construction is fairly simple in Python.
Big Data Calculation
Scrape the web to extract huge amounts of data from different web pages online. Extracted data is generally used to analyze and predict different processes in the real world.
Research and development
Python is also used in scientific research and computing. There are several Python libraries such as AstroPY, BioPython, Graph-tool, and PsychoPP that can be used to perform computational biology, astrophysics, natural language processing, or data visualization.
AI Features Artificial intelligence
is an area involving massive research. Libraries, visual tools, simplicity, and consistency are some of the benefits of Python over other languages.
Integrate your project with chatbots, biometric security, personal recommendations, and even a voice agent like Siri or Alexa using Python libraries.
Python data science
is the first skill required for data scientists. Data processing and analysis is a broad area that requires handling large datasets. Due to the advantages of Python integration, you can work with existing databases.
FinTech and Business
Apps The financial industry uses Python on almost every front. Besides FinTech companies, other companies prefer Python. You can design business applications that integrate with existing systems such as databases, websites or non-web applications.
Startup Development
Python scalability allows it to be the perfect choice for startups and small businesses. High scalability, rapid prototyping, rapid development of minimum valid products (MVP), and cost-effectiveness are advantages of Python that make it the preferred choice.