#Python Archives

PHP vs Python: Which Language Is Dominating The Market?

Posted on 16/10/202113/11/2021 by Anteelo Master

Has it ever happened to you that you try to achieve something but the end result was totally unanticipated? Sometimes good things are an accident – Electricity, Discovery of America, Gravity, and PHP.

Wait, what?

Actually, PHP was never intentionally designed. Rasmus Lerdorf, a Danish software engineer attempted to design an easy common gateway interface by using the C language that would help him track views on his CV. Little did he know what he had created for such a menial task is going to change the face of web applications.

As for Python, the language has its own fan following spread worldwide.

What is there to see is how these two fare when put under juxtaposition. Yes! We are talking about the popular battle of PHP vs Python.

So, why don’t we begin the first round by discussing what they are, individually?

What is Python?

Python programming concepts that made my code efficient! | by Pratik Gandhi | Towards Data Science

Well, of course, it’s not a snake (pun intended).

For real, Python is one of the few best web programming languages for web development that is winning the hearts of many around the world. It is a non-complex object-oriented, high-level, interpreted language, possessing amazing built-in data structures connected with dynamic typing and binding. It is features such as these that make developers choose this language for efficient and effective app development.

What is more, it is a scripting language that is proficient in binding and combining numerous components together. To add another jewel to its crown, it favors cross-platform development, making it ideal for web and mobile app development.

In fact, Python had recently won second place as the most popular language on Github, beating Java to dust and is one of the most loved languages.

Features of Python programming language

Fast in nature

There is no compiling in Python, for the programs are added to the interpreter which runs them directly. This is something that happens for the rest of the programming languages. It is very easy and quick to get access to the feedback on your Python code like recognizing errors, etc. Due to reasons like this, Python has the ability to execute and finish the programs speedily in comparison to other languages.

Supports test-driven development

With Python app development, coding and testing go hand-in-hand, something that is a tried and tested way to the efficacious development process. Developers are able to develop prototypes of the applications as Python allows them to refactor the code.

Amazing standard library

Another probable feature of Python programming language that enabled it to beat Java on Github, is its collection of impeccable libraries. Python’s robust standard library supports the programmers in choosing modules as per the requirements demand. Here every module allows developers to add other multiple functionalities even when the process is about to complete and that too without any additional coding.

{Bonus- Java vs Python: Who is Winning the Coding Battle?}

Support for Big Data

If you have been looking forward to working on the Big Data technology but aren’t sure what should be in your tool set, then trust me, Python will be all you need to start with. This programming language is being used extensively in Big Data development; simply because it is faster and has a lot of libraries in store, that are in harmony with Big Data.

Highly compatible

Python is the first choice of developers who want to do away with the recompilation process. It is because along with supporting numerous OS like iOS, Android, Windows, etc., it allows developers to use Python interpreters to run the same code on all platforms and even modify it without performing recompilation. And on top of it, it allows programmers to check the code almost instantly when the changes are made.

Advantages of Python

Object-oriented and cross-platform programming language
Portable in nature due to WORA functionality
Highly readable, making it easy for beginners
It is open-source, a feature which makes it easily accessible
It is a constantly evolving language

Disadvantages of Python

Slightly in-effective in mobile computing and browsers
Design restrictions: Duck-typing may cause run-time errors
Delayed testing of web applications
A little too simple for certain tasks

Popular apps made with Python

Being a trusted programming language, there are many popular use cases of Python you must be knowing already.

What is PHP?

Speaking of the name itself, it has a little kick to it. The acronym does not fully describes its full form which is Hypertext Preprocessor. It is also an open-source scripting language (means a script-based program) that is server-side in nature facilitating development for every web app development company.

Additionally, it is possible to embed PHP in HTML to create dynamic web pages for web applications, database apps, and E-Commerce apps. In fact, developers consider it to be a pretty friendly language as it can connect with databases like Oracle, MySQL, etc.

Features of PHP

Highly flexible and scalable

To be successful, a language should be flexible and scalable enough to give a wiggle room to programmers to have fun, something which PHP clearly offers. It can be easily integrated with other programming languages, namely, Java and others. The components built with this language are reusable.

There are many extensions available to enable different functionalities, that help in defining many kinds of project requirements.

Fast loading speed

Speed plays a crucial role in making any programming language a favorite of developers. PHP is considered to be a high-speed rendering language as it easily establishes a connection with the database to fetch the requested data in less time as compared to many languages out there in the market.

Supports Cross-platform development

PHP is no way behind Python in catering multiple platforms, i.e, it is also a cross-platform language that helps developers in creating web applications for operating systems such as UNIX, LINUX, Windows, and more. What is more, it also supports Apache and MySQL database.

Loosely typed language

PHP is denoted as a loosely typed language as it supports variable usage without even declaring its data type. It will be taken at the time of the execution based on the kind of data it has on its value.

Error Reporting

One of the amazing features of PHP is that it has a function that generates a warning notice when something is wrong, allowing the developers to address the issues in real-time.

Advantages of PHP

Has an enormous ecosystem
Object-oriented and open-source language with an active community
Interoperability- has numerous pluggable frameworks
Supports first-class debugging

Disadvantages of PHP

Threaded and slower execution
No Internet of Things community support
Limited visibility and control
Externally dependent

Popular apps made with PHP

Python vs PHP: Battle begins

Now, let’s see how Python Compares to PHP and vice versa.

1. Performance and speed

Speed is often synonymous with great performance in web applications. And in the case of PHP vs Python performance for web applications, it is no different. It is crucial for web apps to perform error-free while processing millions of requests at a time. PHP is considered to be much more effective at speed. Though PHP 5.x was fast, PHP 7.x broke its own records, leaving average Python programs to dust. It completes the tasks almost 3 times faster.

2. Syntax and code readability

Syntax plays a prominent part as a point of difference between PHP and Python. To be brief, the syntax of PHP kind of resembles that of the C language. The programmers have to be careful and need to use curly brackets, operators, and additional characters. What is more, developers can also ignore the white spaces while the compilation is on-going, bringing the additional usability that will assist in structuring the code into logical components.

As of Python, the syntax is made on the separation of codes with spaces and tabs, expediting the process of coding to a great extent. Moreover, Python’s syntax is readable which makes it easy for beginners to learn it effectively.

3. Price

It is a good thing that both languages are open-source which means nothing but that they are free to use. In fact, developers have advocated that these even though free in nature, maybe better than some of the paid frameworks.

4. Library Support

What gives Python an edge in the battle of PHP vs Python 2020 is that it has exceptionally extensive and well-developed library support for all types of applications developed using Python. Some of the most preferred libraries that developers use in Machine learning development along with others are TensorFlow, Theano, Scikit, etc.

Though PHP is lagging behind, it also has packages repository “Packagist” that is pretty popular among the developers.

5. Web frameworks

Both PHP and Python have loads of responsive and incredible web frameworks to start with. For Python-based web frameworks, some that stand out the most are Django, Bottle, CherryPy, Pyramid, and more.

As for PHP-based web frameworks, we have Laravel, Codeigniter, Zend, Symphony, and so on. As both Python and PHP programming languages provide a pretty good variety of choices to the developers, beginners are still a little bit more inclined towards Python’s Django framework because it is mighty fast.

{Bonus Read: Django vs Ruby on Rails}

6. Debugging

To give you the verdict on this point of comparison of PHP and Python before even diving deep into it, we have to say that it is a draw.

You ask why? Well, if Python has “Python Debugger” (PDB), a well-documented and facile debugger, then PHP has its “XDebug” package; both offering the most basic debug features – stacks, path mapping, breakpoints, and more.

7. Front-end feasibility

Web programmers also look forward to developing the layout or the front-end of their websites and portals using numerous effective tools along with languages like Bootstrap, CS, Angular, etc. Python here provides numerous opportunities for the developers to adopt the same techniques and later combine it with Python code by employing frameworks.

This way, designers can easily design websites, whereas the backend developers find it easy to use via a much subtle and understandable language like Python. So, definitely, Python here wins over the PHP.

8. Usability

It is prominent to consider the architecture of the languages before we conjecture anything in favor of either language.

The fact that both Python and PHP are object-oriented translate into that they compress code modules containing some functions and data in objects. So, any developer who is even a little bit familiar with object-oriented programming can use either of the languages.

9. Maturity

On the grounds of maturity, Python is inevitably the winner since it was first introduced in 1989 by Guido van Rossum and released in 1991. Its latest update 3.8.0 was released recently on 14 October 2019. It is the most mature and secure among the technologies which make the fundamental building blocks of the intricate mosaic that is the IT industry.

As for PHP, it was created in 1994 by Rasmus Lerdorf. Though not as mature as Python, it still has created a still in the market with its features. The very first manifestation of PHP was a simplistic set of Common Gateway Interface (CGI) binaries that were written in the C language. The latest version of PHP is 7.2.7.

10. Package Management

Speaking of Python, its package managers are effective in organizing the code and keeping the backups along with the version numbers. It helps the developers track their progress while helping businesses perform regular updates on the activities.

As of PHP, though is package management, however, it doesn’t match up to the PIP, a tool to manage and install Python packages. It allows developers to install, upgrade, and even uninstall while using a wide range of sources for external as well as internal libraries.

11. Market Popularity

If you want to judge or compare two things, market popularity tops the list of points of comparison, because it indicates why developers and programmers love something.

Looking at this graph above we can surmise that Python is the most searched on the web in the US as compared to PHP.

It has been observed that 7,212,664 websites have been developed using PHP, and as for Python, the number amounts to be 146,702. What is more, PHP is leading in countries like the US, Japan, Germany, and other 150+ countries. In a survey by w3techs.com, as you can see in the graph, it is evident that as of May 29, 2019, PHP was the most popular language based on traffic.

12. Versatility

Python in comparison to PHP is evidently versatile in nature as it is an ideal choice for developing websites integrated with Machine Learning and AI. It comes with an abundance of libraries that support these technologies and facilitate their integration into the web apps.

13. Well-thought-out design

While comparing PHP vs Python for backend, we found that Python, as compared to PHP, is fairly easy to grasp. Python has a well-thought-out-design (refers to the method used to insert code) than PHP. This means that developers find it easy to program for backend with Python than they do with PHP. It is simply because Python is a flexible yet robust programming language, something that PHP lacks.

14. Documentation

Well, it is a draw. Both languages have an abundance of documentation spread across the internet. Any beginner can easily find resources and documents related to any aspect of these languages and can get answers to even the most complicated queries- All thanks to their communities.

15. Environment Management

Speaking of environment managers, Python is extremely lucky in this regard. There are some terrific breed applications to manage the environment. One such example is Virtualenv – a system that is used to install and use numerous versions of Python simultaneously and switch them as often as needed with ease.

Though PHP also has an analog for Virtualenv known as VirtPHP. However, it is advised to use containers.

16. Learning Curve

Starting with PHP, being a straightforward language, it has a fairly low learning curve. It is ideal to learn PHP for short-term projects, but if you want to learn something that gives long-term benefits then Python is your match.

Though on its own PHP is easy to learn, however in comparison to Python, PHP has a steep learning curve for Python is the most readable and easily comprehensible language. It is because the language uses a much simpler syntax.

17. Community Support

Both languages enjoy the support of active communities. It is a crucial aspect for a beginner to consider before committing oneself to a particular language, simply because the learning process is full of doubts and queries and having strong support resolves half the issues.

However, we have to admit that community support of PHP is outstanding, given how actively they have been deprecating the language’s outdated aspects.

18. Salary and Job opportunities

While considering the payscale of both languages, we found that Python developers, on average, make somewhere around $120,024 every year in the United States. Whereas, PHP developers make an average of $86,017 per year.

In fact, you can see in the image above that Python developers, globally make nearly $63k, whereas PHP did not even make it to the list accumulated by Stack Flow.

Final Thoughts

To end this discussion, we would state the most obvious – both languages are differently capable in all aspects. One may surpass the other in one aspect and may lose in others. They both have their own set of features and functions to perform.

They are a paradox in themselves; there are many similarities between PHP and Python, and at the same time are dissimilar as well in many aspects.

Nevertheless, Python has emerged to be the winner in most of the comparison points such as documentation, job opportunities, salary, etc. So, it is up to an individual which one they choose based on their requirements.

PHP vs Python: Features & Comparison in 2021

Posted on 21/05/202102/06/2021 by Anteelo Master

Has it ever happened to you that you try to achieve something but the end result was totally unanticipated?

Sometimes good things are an accident – Electricity, Discovery of America, Gravity, and PHP.

Wait, what?

As for Python, the language has its own fan following spread worldwide.

What is there to see is how these two fare when put under juxtaposition. Yes! We are talking about the popular battle of PHP vs Python.

So, why don’t we begin the first round by discussing what they are, individually?

What is Python?

Well, of course, it’s not a snake (pun intended).

In fact, Python had recently won second place as the most popular language on Github, beating Java to dust and is one of the most loved languages.

Features of Python programming language

Fast in nature

Supports test-driven development

Amazing standard library

Support for Big Data

Highly compatible

Advantages of Python

Object-oriented and cross-platform programming language
Portable in nature due to WORA functionality
Highly readable, making it easy for beginners
It is open-source, a feature which makes it easily accessible
It is a constantly evolving language

Disadvantages of Python

Slightly in-effective in mobile computing and browsers
Design restrictions: Duck-typing may cause run-time errors
Delayed testing of web applications
A little too simple for certain tasks

What is PHP?

Features of PHP

Highly flexible and scalable

There are many extensions available to enable different functionalities, that help in defining many kinds of project requirements.

Fast loading speed

Supports Cross-platform development

Loosely typed language

Error Reporting

One of the amazing features of PHP is that it has a function that generates a warning notice when something is wrong, allowing the developers to address the issues in real-time.

Advantages of PHP

Has an enormous ecosystem
Object-oriented and open-source language with an active community
Interoperability- has numerous pluggable frameworks
Supports first-class debugging

Disadvantages of PHP

Threaded and slower execution
No Internet of Things community support
Limited visibility and control
Externally dependent

PHP vs Python: Battle begins

Now, let’s see how Python Compares to PHP and vice versa.

1. Performance and speed

2. Syntax and code readability

3. Price

4. Library Support

Though PHP is lagging behind, it also has packages repository “Packagist” that is pretty popular among the developers.

5. Web frameworks

6. Debugging

To give you the verdict on this point of comparison of PHP and Python before even diving deep into it, we have to say that it is a draw.

7. Front-end feasibility

8. Usability

It is prominent to consider the architecture of the languages before we conjecture anything in favor of either language.

9. Maturity

10. Package Management

11. Market Popularity

If you want to judge or compare two things, market popularity tops the list of points of comparison, because it indicates why developers and programmers love something.

Looking at this graph above we can surmise that Python is the most searched on the web in the US as compared to PHP.

12. Versatility

13. Well-thought-out design

14. Documentation

15. Environment Management

Though PHP also has an analog for Virtualenv known as VirtPHP. However, it is advised to use containers.

16. Learning Curve

17. Community Support

However, we have to admit that community support of PHP is outstanding, given how actively they have been deprecating the language’s outdated aspects.

18. Salary and Job opportunities

In fact, you can see in the image above that Python developers, globally make nearly $63k, whereas PHP did not even make it to the list accumulated by Stack Flow.

Final Thoughts

They are a paradox in themselves; there are many similarities between PHP and Python, and at the same time are dissimilar as well in many aspects.

AI in Web Development: Python’s the best

Posted on 10/05/202114/05/2021 by Anteelo Master

May it be an MNC or a new startup, Python has a lot of benefits to offer everybody. It is the most renowned and efficient high-level programming language which has got largely famous in the past few years. It’s growing fame has enabled it to come out of the web development sphere and dive into some of the most popular and multifaceted processes like Artificial Intelligence, Data Science, Machine Learning, etc.

With its steady rise in fame, the demand for Artificial Intelligence is at a boom as it has become an integral part of various industries like Health Care, Education, Banking, Food & Beverage Industry, E-commerce, Agriculture, Marketing, Automation, etc.

Python Is Best Fit For Artificial Intelligence in Web Development

There is no denying the fact that python plays a very significant part in the sky-rocketing of AI in the market. There are numerous reasons to opt Python for Artificial Intelligence in Web Development a few of which are listed below.

1. Simple and Consistent

Python is well-known for its brief and easily readable code and is totally unparalleled when it comes to the ease of use, especially for budding developers. While Artificial Intelligence is based on complex algorithms and vivid workflows, Python allows developers to create dependable systems. Due to this simplicity provided by Python, the developers get to focus primarily on solving AI problems rather than wasting their time on tech-nuance of the programming languages.

Also, Python is the first choice of many developers as it is very easy to learn. The code written in Python is easily comprehensible by humans, which makes working with it very swift. Python is also more intuitive than other programming languages and is very beneficial when multiple programmers collaborate on the same code. The simplicity of the Python syntax allows quick development along with very prompt testing (without having a need for implementation). Python uses approximately a fifth if the code that might be needed to do the same task in any other language based on OOPS. The ease of code and the simplicity involved in it makes easier for a developer to work on it thereby also reducing the time to complete a job.

2. An extensive selection of libraries and frameworks.

A major facet that makes Python a leading choice for Artificial Intelligence in Web Development is the richness of its libraries and frameworks that makes coding easier and saves a lot of effort and time. Python has numerous libraries specifically built for Artificial Intelligence like NumPy, Pytorch, TensorFlow, Theano, Keras, Scikit-learn, Pandas and the list is endless. Therefore, whenever you have to run an algorithm, all you need to do is to install and load one of these libraries (as per your requirement) with a single command and your work is done in a snap. These solutions help you to develop your product faster and better. With these libraries and frameworks, you need not start from scratch every time and can just use one of these and implement the required features.

TensorFlow, Scikit-learn, Keras	Machine Learning
SciPy	Advanced Computing
NumPy	Data Analysis & Scientific Computing
Pandas	Data Analysis
Seaborn	Data visualization
PyTorch	Natural Language Processing
Theano	Evaluating Mathematical Expressions

3. Platform Independence

The Platform Independence of Python is one of the major reasons for it being on the high tide. Platform Independence implies that a python program can be made or executed on any framework or platform and afterward can without much of a stretch be utilized on the other. Python is compatible with many major platforms like Windows, Linux, macOS, etc. It can very well be utilized to make independent applications on a vast majority of the platforms, which implies that these applications or software can be effectively appropriated and utilized on different frameworks without having a requirement for a Python translator. There exist libraries like PyInstaller to help developers prepare their codes to run on various platforms. Yet again, this makes the process convenient and simple by saving time, money and effort required to run and test a single program on multiple platforms.

4. Abundance of Support

According to a survey conducted by StackOverflow in 2018, Python was one of the top 10 most popular languages. Also, according to ecomnist.com, Python is Googled more than any other programming language.

This ultimately means that with such a large community of Python Enthusiasts all over the world, there is great community support so you are likely to find answers to all your problems over the internet. It boasts a large number of active users who are more than happy to help the ones learning or stuck in the development life cycle.

5. Flexibility

Being a dynamically typed language gives python a great advantage of being immensely flexible. That being said, there are no rigid rules as to how a feature must be built. It also offers flexibility to choose between the OOPS approach or the scripting approach making it suitable for every purpose altogether. Also, it the most appropriate choice for combining various data structures and also supports as a great background language. It also offers immense flexibility when it comes to solving problems, which is a huge add-on for both beginners as well as professionals.

6. Minimal Coding Requirement

There are numerous calculations associated with AI (Artificial Intelligence). The simplicity of testing offered by Python makes it one of the most straightforward programming language among contenders. Python can execute a similar rationale with just 20% of the code in contrast to the other programming languages which are based on OOPS.

7. Popularity

Due to its ease of use and vast versatility, Python has emerged as the most preferred programming language among developers. The ease of learning and the developer-friendliness of the language has attracted developers to opt for it for their projects. Undoubtedly, Artificial Intelligence-based projects do require veteran developers, but the simplicity of python eases the process of learning it for new developers.

8. Superior Visualization

Python gives an assortment of libraries and a couple of them are exceptionally amazing choices for visualization. For the Al engineers, it is imperative to emphasize that in the Al, ML, and deep learning it is crucial to have the option to present to the information in an intelligible configuration that can be easily read by humans. Libraries like Matplotlib lets the data scientists assemble histograms, graphs, and plots for better information perception, representation, and viable demonstration. Besides, the different APIs disentangle the visualization procedure and this makes it simpler to make clear reports.

9. Compatibility

Python web development gives the designer the adaptability to offer an API from the current programming language, which, in reality, is amazingly adaptable for new Python developers. With just a few nominal changes in the source codes, you can make your assignment or application work in various OSs. This spares developers a great deal of time to test distinctive working frameworks and move source codes. Along these lines, in the event that you need your AI task to be the best, you should the best web app development company that has experience with AI-based undertakings with Python.

Summary

Artificial Intelligence is emerging as the need of the hour and has been showing a thoughtful effect on the society we live in. Developers are opting for Python as their language of choice for the numerous benefits that it provides particularly for Artificial Intelligence and Machine Learning. Python’s specific libraries for AI increases developers’ efficiency and cuts short in the time required for the development. The simplicity of Python promotes fast testing as well as execution thereby making the language accessible for beginners as well as non-programmers. With all this being stated, there is definitely no reason left as to why one might not consider Python as the best fit for Artificial Intelligence in Web Development.

JS Developer: Learn Python

Posted on 21/12/202014/05/2021 by Anteelo Master

Python and JS are the two most popular programming languages. I was working as a MEAN/MERN Stack Software Engineer where I used Javascript as a coding language. Recently I switched to Python for a second project.

In this blog, I will share my experience of working on both languages at the same time. Let’s get started.

Below are the code snippets which describe the major syntax differences. Can you observe how different they are?

The syntax b/w Javascript and Python are very different as shown in the above sample blocks. Sometimes I make mistakes by using one’s syntax in another. To avoid this these IDE’s are really helpful– IntelliJ (Python) and Vscode (Javascript).

Below are the major differences that I came across:-

Python code uses tabs for a code block whereas JS uses { }
Python uses ‘#’ for comment while JS use ‘//’
Python uses the ‘print’ keyword whereas JS uses ‘console’ keyword to debug anything in the console panel.
Python Function uses a ‘def’ keyword to define function whereas JS uses ‘function’ keyword
The constructor of the Python class is defined by ‘__init__’ whereas JS uses a normal constructor.
The semicolon is not mandatory in both languages to define the end of a statement. But we use it in JS because if we don’t apply it, JS engine will apply it automatically and create unnecessary bugs in the code.

Approaches to implement task in different languages

Every language has its own beauty. While solving any task with NodeJS I need to think in a different way than implementing them in Python. In some scenarios, Python wins and in some NodeJS.

Just a small example-

To create a Task manager backend in NodeJS, I need to use Express. To replicate the same functionality in Python, I need to use Flask.

Checkout repo for basic task manager https://github.com/agarwalparas/task-manager

However, later on, if my backend needs a functionality of Machine learning to manage tasks and prioritize them on the basis of users’ behaviour, then I will surely use Python.

Whereas if my backend needs high speed to list tasks or to search from tasks or for faster real time updates of tasks within the team, then I will surely use NodeJS.

So, it is really tough to decide which language to use in which project. But it is fairly straightforward to say which language can be used for a particular task.

After some experience, I have figured out a way to decide which language is better for a project.

NodeJS for Chat Applications and Realtime Apps whereas Python for Analytics, Machine Learning, Command Line Utilities.

Some important concepts

F String in Python and Template literals in Javascript

The F string and template literals are great new ways to format strings. Not only are they more readable, more concise, and less prone to error than other ways of formatting, they are also faster!

Decorators in Python and Callback Function in Javascript

Decorators and Callback Function are very powerful and useful tools since they allow programmers to modify the behavior of function or class. In Decorators, functions are taken as the argument into another function and then called inside the wrapper function whereas in Javascript the function passed as argument is called callback function.

Async/Await in NodeJS

Before async/await, JS used promises but its code was a little complex to debug and caused callback problems.

Then JS introduced a neat syntax to work with promises in a more comfortable fashion. It’s called “async/await” and is relatively easy to understand and use.

Conclusion

So all in all it’s a very exciting journey. Both languages have some pros and cons. But isn’t it the same with everything. Different languages exist because there is no one-size fits all approach to programming. In fact, their existence gives us tools to help create more robust products. My experience of working with Python and JS simultaneously has helped me gain more exposure to the world of programming languages and I now look forward to learning more about other unknown languages.

Python-Based App Development

Posted on 03/09/202009/06/2021 by Tushar

Python is a very popular programming language among developers. In fact, it was declared the top programming language for 2019 beating even the original coding language – Java. It has indeed facilitated the whole mobile app development process to a great extent and hence, won the above-mentioned title.

For decades now, technology has been going through makeovers, changing and improving a little every day. And as a result, we have SmartPhones, Supercomputers, Artificial Intelligence, a lot of amazingness like such.

Now, to utilize these technologies we now have developed different programs and mobile applications, which, by the way, are created by programming languages. One such popular language is Python.

So, let’s take the road of knowledge leading towards the answer regarding Python app development and the kind of applications that can be built on it.

What is Python?

To answer one of the most frequently asked questions “What is Python” in simple words – Python is object-oriented, interpreted, and a high-level programming language. It has incredible built-in data structures that are combined with the dynamic typing and binding to render hassle-free app development. It poses as a scripting or glue language to combine several components together.

Python is renowned for its simple and easy-to-learn syntax which supports readability and reduces the expenses incurred in the program maintenance. It also favors modules and packages, which in return promote modularity and code reusability. To add another jewel to its crown, it totally favors cross-platform, making Python ideal for mobile app development.

Now, merely saying that Python is a popular language will not suffice. So, let’s look at its features which played a crucial role in spreading its popularity like wildfire.

Why Python has Become Popular?

1. Python’s code is easy to read and understand

One of the most renowned features of Python is its syntax. The rules of its syntax enable developers to express concepts without writing additional code. Python has a way of making complex things simple; the reason why it is deemed suitable for beginners to learn.

Python is the only language to focus on code readability which is why it allows developers to use English keywords instead of punctuation. All these factors make Python perfect for mobile application custom applications. Moreover, the clear code base is going to help developers maintain and update the software without any extra efforts.

2. Python is Quick

In Python, the programs are added to the interpreter that runs them directly. This means there is no compiling, which happens for almost all the other languages. On the Python code, it is easy and quick to get your hands on the feedback on your Python code such as recognizing errors. With Python, you can finish and execute your programs (run them) faster than with other programming languages.

3. Python is Compatible

There are numerous operating systems such as Android, iOS and Windows which Python supports. In fact, you can use Python interpreters to use and run the code across platforms and tools. It also makes it possible to run the same code across multiple platforms and the modified app code without the need for recompilation. Moreover, if you wish to check the impact of changes made in the code and that too instantly, then Python is your choice.

4. Facilitates Test-Driven Development

Creating prototypes of software applications has never been easier. All thanks to Python app development. Python fully supports the development of prototypes and even allows you to build applications directly from the prototypes by refactoring the code.

Coding and testing can now go hand-in-hand, thanks to Python. It has adopted the methodology called TDD, acronymous of Test-Driven Development.

5. Strong Standard Library

Python has a pretty robust standard library that gives it an edge over other languages. Python’s standard library enables you to select modules from a wide range as per your requirements. Now, each module allows you to add functionalities later in the process without extra coding.

This point can be cleared with an example. Suppose you are writing a web application, now you can employ certain modules in Python to implement web services or manage OS interface. Just browse through Python’s library and even gather information related to modules.

6. Python Supports Big Data

Big Data is another emerging technology and Python is one of the most used languages for its development. It is because Python possesses a huge number of libraries to work on Big Data. Moreover, it is easier and faster to code with Python for Big data projects as compared to other languages, making it a popular choice of developers around the globe.

7. Strong Supportive Community and Corporate Sponsors

Another prominent element that decides the popularity of any programming language is its community support. Unlike many languages out there, Python has a very active community providing impeccable guides and tutorials, and other forms of documentation for a better understanding of the language. Moreover, having a sponsor like Google only adds up to the list of reasons for Python’s popularity.

Popular Python Frameworks for App Development

1. Django

Django is a high-level and open-source Python framework that streamlines web app development by providing access to different features. It is perfect as it allows developers to create complex codes and Python web applications efficaciously.

A few features that make Django one of the best frameworks for Python are its authentication mechanism, database schema migration implements ORM for mapping its objects to database tables and template engine.

2. Flask

Another extremely reliable Python framework is Flask, developed on Werkzeug and Jinja 2. It is denoted as a microframework because it does not require tools and libraries like other frameworks. Due to its features like integrated support for unit testing, RESTful request dispatching, etc. it is considered an ideal option for small projects, as opposed to Django which is used in the development of big projects.

3. Web2Py

Web2Py is one of the most popular frameworks of Python for mobile app development, loaded with a debugger, and a deployment tool. It helps the developers in debugging and building the code effectively along with testing the apps.

Because Web2Py is a cross-platform framework, it is compatible with Mac, Windows, Linux, Android, etc. It follows the Model View Controller design. One element which impresses the developers most is its ticketing framework, a component that issues a ticket whenever a mistake is made.

4. Pyramid

Pyramid is a highly adaptable Python framework for app development that works incredibly for both easy and complicated applications of Python. It is useful in creating prototypes of applications and also for developers to chip away at API projects.

A majority of Python developers admire this framework simply for its transparency and high-quality features. One other feature that is worth mentioning is Pyramid’s transversal framework used for mapping URLs for coding, making it easier to create RESTful APIs. In fact, some tech industry giants like Mozilla, Dropbox, and Yelp have used it in their processes.

5. CherryPy

Another Python app development framework is CherryPy. It is an open-source framework that is capable of implanting its own multi-strung server. This framework possesses features like setup framework, thread-pooled web server, and module framework.

Moreover, it doesn’t demand you to use any particular and specific ORM or template engine. In fact, it allows developers to utilize different technologies for data access, templating and whatnot, making it a preferred choice of developers to build applications in python.

What Type of Apps Can You Build in Python?

1. Blockchain Applications

Blockchain, being one of the hottest trends of this decade in technology has swept the market of its feet. From the developers’ point of view, Blockchain development was not as easy as shelling peas. However, Python has literally made it so. Because Python is a very understandable language, the process of building blockchain applications is a lot more facilitated.

By employing Python frameworks like Flask, developers can use HTTP requests to interact with their blockchain over the Internet and create endpoints for distinct functions of blockchain. Developers are also able to run the scripts on multiple machines for developing a decentralized network – all with the help of Python.

2. Command-line Applications

Command-line applications and Console Applications are the same. It is a computer program created to be utilized from the command line or a shell and does not have any graphical user interface.

Python is deemed a suitable language for such applications because of its Read-Eval-Print-Loop (REPL) feature which enables developers to evaluate the language and identify new possibilities.

Since Python is a popular language globally, top app development companies have access to a sea of free Python libraries that they can use for building command-line apps.

3. Audio and Video Applications

Python app development helps in creating music and other types of audio and video applications. Since the internet is loaded with audio and video content, you can use Python for analyzing it all. Some Python libraries like PyDub and OpenCV help in the successful completion of the app development.

YouTube is one such application that is created using Python. So, you can easily surmise now how effective and incredible this language is in delivering apps with high performance.

4. Game App Development

For all the gaming enthusiasts, many games such as EVE Online and Battlefield 2 have been created using Python. Battlefield 2 game employs Python for all of its add-ons and functionalities and World of Tanks game uses it for basically the majority of its features. In fact, Disney’s Pirates of the Carribean game was written with the help of the Panda 3D game engine – whose game development language is Python.

Developers are given the facility to create a rapid game prototype and Pygame and Python can be used to test them in real-time. Additionally, Python in game development can be used to create game designing tools that assist in many tasks of the development process, namely, creating dialog trees and level designing.

5. System Administration Applications

We know how tedious system administration can get, given there are thousands of tasks to be completed and a sea of data to be managed. System Administration applications are a savior for the management, to say the least.

Python is regarded fit for creating system administration apps for it allows developers to easily communicate with the operating system via the ‘os’ module. It enables developers to interface with the OS on which Python is currently running. This language makes all the IO operations accessible which includes simple reading and writing to the file system.

6. Machine Learning Applications

Another inspiring tech trend of this decade has to be Machine learning development. Machine learning is an algorithm technology that feeds data to operating systems and enable them to make intelligent decisions. Before creating applications of machine learning was a tricky task, but now we have Python for machine learning applications.

Python comes loaded with libraries like Pandas and Scikit for machine learning that are available in the market for free and can be used under GNU license.

NLP (Natural Language Processing) is one branch of machine learning enabling a system to analyze, manipulate, and understand human language for the algorithm to work.

With the basic knowledge of Python, developers can create machine learning apps with the help of these highly competent and effective libraries.

7. Business Applications

Python highly supports practical agility, meaning it is capable of developing numerous kinds of applications. This is why Python also assists in ERP and E-Commerce app development solutions.

Odoo, an all-in-one management software is written in Python and provides a wide range of business apps forming a suite of business management apps. Another famous business application built with Python is Tryton which is a three-tier general-purpose and high-level application. It is so easy to create such apps with Python which is why app development companies choose it.

Other Use Cases of Python Language

1. Web and Software Development

Since Python has a code that is very simple and easy to understand, this uncomplicates the web and Software development services, making the process more efficient. Another charming feature of Python is its compatibility to integrate with other languages, making it a more flexible option.

Some effective frameworks like Django and Pyramid assist the developers in software development with Python and enable them to create web apps from scratch. The standard library of Python also supports numerous internet protocols including XML, JSON, and HTML. Instagram is one such application create with Django- a Python framework.

2. Image Processing and OCR

Python has this amazing ability of object detection and Image processing. With the help of a wide range of Python libraries such as PyTesseract for OCR (Optical Character Recognition), TensorFlow for object detection and the Python Imaging Library (PIL) for Image processing, it has become highly efficient for developers to create apps with self-contained deep learning and Computer Vision capabilities.

3. Automated Testing

When it comes to Automated Testing, Python is the language of choice. Automated testing is the process of execution of the apps’ features using a script rather than a human being. In this regard, Python along with Selenium (a web-based automation tool) provides a plethora of libraries and tools to perform automated tests. These tools are also known as CI/CD tools acronymous of “Continuous Integration” and “Continuous Deployment” and can run the tests, compile and publish applications along with deploying them into production.

4. Web Crawlers

Web Crawlers, also known as Spiderbot, are typically used to make a duplicate copy of all the visited pages of the world wide web for later preparation by a search engine. This will index the downloaded pages to render fast searches.

In fact, Crawlers are useful for automated maintenance tasks on a Website. For example, checking links or validating HTML code. Python is considered ideal for creating these Spiderbots because of its simple and fast code, and due to the availability of impeccable libraries.

Conclusion

All in all, we can see Python app development is really fast and flexible. It is very easy to create various types of applications because of the versatility of Python’s code. There are numerous types of libraries available for different kinds of applications – the reason why app development companies opt for Python over a sea of other languages.