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Python Advantages and Disadvantages: A Comprehensive Guide On Python Development

Posted By : Admin

01 Feb , 2023

Python's benefits and drawbacks


 

Python is one of today's most popular programming languages. It has made a name for itself as one of the programming languages with the highest rate of advancement. It is incredibly effective, adaptive, versatile, and easy to use and create. Python software development services are utilized in a variety of industries since it supports different programming paradigms and has automated memory management features. 

Let's look through Python's benefits and drawbacks to get into this topic more deeply.
 

What is Python?

Python is a high-level, object-oriented, and free programming language that is also open-source and free. Python contains built-in data structures and dynamic semantics, to speak specifically.

It is best utilized for scripting, quick app building, and integrating existing pieces when combined with dynamic typing and binding.

Due to its readability and short learning curve, the application is easy to maintain. Python contains packages and modules which in turn provide reusable code and programs that are modular.

In general, it increases programmer productivity and simplifies the debugging process. Since Python is an open-source language, both the library and interpreter are free to use.

Who Invented Python? 

On February 20, 1991, Guido van Rossum released the first version of Python. The name is derived from "Monty Python's Flying Circus," a former BBC comedy television program “Not the Big Snakes that Swallow Their Victims!”

Python was created by just one person, unlike other languages, which were often created by large corporations employing multiple people.

Naturally, it was improved upon over time with the help of numerous users, programmers, and testers from all over the world, which facilitated its quick acceptance and widespread use.
 

Why Use Python?

1. Code that is easy to read and maintain

To make maintenance and upgrades easier, you must concentrate on the quality of the source code while building software applications. Python's syntactic rules make it possible to convey ideas without adding new code. In addition, Python promotes code readability in contrast to other programming languages and permits the use of English terms in place of punctuation. As a result, Python allows you to create unique apps without having to write additional code. You can upgrade and maintain the product with minimal additional time and effort if you have a legible and clean code base.

2. Various Programming Methodologies

Python supports several programming paradigms, just as other contemporary programming languages. Both object-oriented and structured programming are fully supported. Additionally, the language's characteristics support several functional and aspect-oriented programming principles. Python also has an autonomous memory management mechanism and a dynamic type system. Python's capabilities and programming paradigms make it possible to create intricate and expansive software programs.

3. Compatibility with Key Platforms and Systems

Python now supports a wide range of operating systems. Python interpreters can even be used to run the code on particular tools and platforms. The programming language Python is also an interpreted one. It enables you to run the same code on many platforms without having to recompile it. As a result, after making any changes, you are not necessarily to recompile the code. Without having to recompile, you may execute the changed application code and see how the changes you made affected it right away. You may modify the code more easily with the help of the functionality without lengthening the development process.

4. A Solid Standard Library

Python excels above other programming languages because of its broad and durable standard library. You can select from a variety of modules in the standard library to suit your specific needs. Additionally, each module enables you to extend the functionality of the Python program without adding new code. You can utilize certain modules, for example, to create web services, carry out string operations, control operating system interfaces, or interact with internet protocols while developing a web application in Python. You may even learn more about individual modules by looking through the documentation for the Python Standard Library.

5. Numerous Open Source Tools and Frameworks

Python's open-source nature enables you to dramatically reduce the cost of software development. To save development time without raising prices, you may even leverage several open-source Python frameworks, modules, and development tools. You may even pick from a variety of open-source Python frameworks and development tools based on your specific requirements. For instance, leveraging powerful Python web frameworks like Django, Flask, Pyramid, Bottle, and Cherrypy may help you streamline and accelerate the development of online applications. Similarly, by utilizing Python GUI frameworks and toolkits like PyQT, PyJs, PyGUI, Kivy, PyGTK, and WxPython, you may speed up the creation of desktop GUI applications.

6. Make Complex Software Development More Simple

Python is a general-purpose programming language. Consequently, you may create desktop and online apps using the programming language. Python may also be used to create sophisticated scientific and numerical applications. Python is built with tools that make data processing and visualization easier. Without spending additional time or effort, you may construct bespoke big data solutions by utilizing Python's data analysis tools. Additionally, Python's data visualization packages and APIs enable you to view and display data in a more attractive and useful manner. Many Python programmers now utilize Python to carry out tasks involving natural language processing and artificial intelligence (AI).

7. Employ test-driven development.

Python may be used to quickly produce a software application prototype. Additionally, by only reworking the Python code, the software application may be created immediately from the prototype. Python even makes it simpler for you to code and test at the same time by using the test-driven development (TDD) methodology. Before developing any code, it is simple to construct the necessary tests, and you can use the tests to continually evaluate the application code. The tests can also be used to determine if the program complies with specifications based on its source code.

 


Advantages of Python Programming

1. Python Is Free

Python is an open-source programming language that is free to use. Python is a language that is free to use and distribute, including for commercial reasons, owing to the OSI-approved open-source license under which it was developed. With this, the maintenance costs will go down. It may be shared, copied, and altered by the developers. 

2. Simple to Use

Python is said to be simple to use for programmers. Python is superior for quickly creating server-side apps, automating build processes, and gathering test data, even though C++ or any other common scripting language could be simpler to utilize for designing mobile applications or video games.

3. Feature Huge Libraries and Frameworks

One of Python's biggest benefits is the variety of libraries and frameworks it offers. Everything from data visualization, machine learning, data science, natural language processing, and complicated data analysis uses the Python Library, from NumPy to TensorFlow. 

A Python developer's efficiency is increased by having a sizable library with memory management and blank designs. Because of this, developers can manage databases, documentation, web browsers, unit testing, and many other tasks. Python is also useful for creating a wide range of activities, including creating desktop and online applications, sophisticated computation systems, life support management systems, the Internet of Things (IoT), games, and more.

The advantages of Python's extensive libraries are nearly analogous to those of having a big number of frameworks. It can launch your initiatives while saving you time and energy. There are several frameworks available, including Pyramid, Twisted, Django, Falcon, and Flask.

A developer uses these libraries and frameworks to code, saving time and effort.

4. Integrated Data Structures

You can create quick, run-time data structures by using the list and dictionary data structures that Python comes with by default. Additionally, Python's dynamic high-level data type option reduces the amount of support code that is required.

5. Wide Application

Python programming language has many uses. It is widely utilized by mathematicians, engineers, and scientists for a variety of purposes. Python is also helpful for creating experimental prototypes of any kind. It is utilized in several cutting-edge sectors, including the creation of animation for motion pictures, the creation of GUI-based desktop programs, scientific and computational applications, as well as applications involving machine learning, image processing, and graphic design.


Applications of Python Programming

  1. Desktop applications based on the GUI
  2. Games, scientific and computational applications, image processing software, and graphic design
  3. Web applications and frameworks
  4. Applications for businesses and enterprises
  5. Operating Systems
  6. Education
  7. Access to databases
  8. Language Development
  9. Prototyping
  10. Application Development
  11. Data science and artificial intelligence
  12. Scripting

 

A few of the well-known businesses that are now employing Python for their applications are listed below:

  1. Yahoo(Maps)
  2. Google
  3. YouTube
  4. Microsoft
  5. Spotify
  6. Mozilla
  7. Cisco
  8. Dropbox

Disadvantages Of Python Programming

1. Inept Memory Capacity

Python requires a lot of memory to be user-friendly, which might be an issue if you're trying to create programs that need to be memory-efficient.

2. Slow Speed

One of Python's main drawbacks, after its high memory utilization, is its slowness.

The pace of execution is frequently limited since it runs the code one line at a time. Python cannot be used to code in projects where speed is crucial.

3. Access to Databases

Python is a simple programming language, however, the database access layer is not as advanced as other technologies like ODBC.

Enterprise programs must seamlessly integrate with complex legacy data, hence this language is not the best fit for these types of projects.

4. Poor Mobile Computing

Python is utilized for back-end programming; it is typically not used for front-end programming or the creation of mobile apps because of its high memory utilization and poor pace.

5. Runtime Glitches

Python is a dynamically typed language, thus variables' data types can change at any time. Runtime problems may occur if a variable that initially held a string was changed to an integer.

 

The Benefits of Python Over Other Languages

  1. Python is superior to other programming languages like Java or C++, for example, because of the numerous benefits it provides to developers.
  2. A simple and uncomplicated syntax that is simple to read, learn, maintain, and share
  3. It can speed up app development by mixing reusable components as a dynamic scripting language.
  4. Python code is written as text files containing instructions for the interpreter using an IDE or text editor. Even for massive projects, development is made simple by the IDE's robust capabilities and the vast selection of third-party frameworks, modules, and tools.
  5. Developers are free to use any of the available programming styles, and it is adaptable and may be utilized for various projects. Additionally, it features adaptable data types and sub-data types that match the root kinds.
  6. Python applications are very portable since they are supported by the majority of operating systems. It doesn't require any code modifications to operate on Windows, Linux, UNIX, or Mac OS because it utilizes an interpreter.
  7. Python has a vibrant community that is expanding even faster; these "Pythonists" add significant value to the language by creating unique software packages and uploading them to an online database.

 

Why Do Organizations Prefer Python?

Due to its simplicity and ease of use, Python is preferred by businesses because it may boost productivity while requiring less money, time, and effort to create. It may also be used with other languages, which makes updating existing code quick and easy. The development of web applications is made simple and quick by the use of scalable frameworks and libraries, reusable code created by other programmers, etc.

Lanware Solutions is a leading product engineering company with expertise in Python web development services and is synonymously known as the expert Python software development company. Contact Lanware for your digital transformation today!

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