Python is a very popular programming language today and often needs an introduction. It is widely used in various business sectors, such as programming, web development, machine learning, and data science. Given its widespread use, it’s not surprising that Python has surpassed Java as the top programming language.
For experienced developers who are looking to go into Python is also especially useful if you’re considering a job in Data Science or Machine Learning., learning Python is the next logical step because it’s quickly becoming the most used programming language in those areas, and there are powerful frameworks and libraries available for them.
This article will aim to provide 10 reasons why you should learn Python:
- 10 Reasons to Learn Python Programming Language
- What is a Good Reason to Learn Python?
- What are Some Reasons to Use the Python Programming Language?
- What are 3 Benefits of Python?
- Why Should I Learn Python in 2023?
- What are the 13 Features of Python?
- Why Python is Important Today?
- What is Python and its Benefits?
- Is Python Good for Future?
- What’s Unique About Python?
- What Type of Language is Python?
- What are Python Functions?
- Where Python is Used in Real Life?
10 Reasons to Learn Python Programming Language
Python is considered one of the most popular and in-demand programming languages. A recent Stack Overflow survey showed that Python has taken over languages such as Java, C, and C++ and has made its way to the top. This makes Python certification one of the most sought-after programming certifications.
Below, we will be listing down the top 10 reasons to learn Python.
1. Learn Python, its Beginner-Friendly
Python is an excellent pick for beginners or those who are new to programming. Learning a new language becomes a challenge but since Python features English syntax and is easy to read, it becomes easier for first-timers to learn Python and use it in the real world.
Another reason that makes Python a beginner-friendly programming language is that it is an interpreted programming language. It executes code linearly, allowing you to immediately check it and make changes if required, thereby eliminating the need to compile. Python is extremely powerful as a programming learning tool
2. Massive Libraries to Facilitate Data Science and ML Tasks
Python beats every other programming language when it comes to using libraries. With Python and libraries such as Pandas, NumPy, SciPy, and Matplotlib, it is possible to carry out information analysis tasks, data collection, cleaning, refinement, model generation (machine learning), and visualization of the data obtained. Libraries like TensorFlow and PyTorch allow you to easily create and train machine learning models.
Organizations investing in Data Science make it a point to hire Python experts. This is another reason why you should learn Python. Besides, it is also the preferred data-crunching language of many data scientists and mathematicians globally
3. Worldwide Popularity and Usage
Thanks to its popularity all over the world, thousands of free-use libraries, modules, codes, and programs, Python is the most popular programming language.
Python is free and open-source and has been open source for more than 20 years. The license belongs to the Python Software Foundation License, a non-profit organization that allows the modification of code and the realization of derivative projects. It is even possible to start from other projects to create works that are not open source.
4. Adoption by Top Companies
Python supports procedural, object-oriented, and functional programming. Given its wide applicability, it is used by a number of top companies globally and thus keeps on posing demands for professionals highly skilled in Python. Let’s take a look at some examples –
Instagram: Made in Django (written in Python) and with more than 700 million active monthly users, it is the most important and well-known photography social network. It is probably the largest system built on Python.
Google: Python is one of the top 3 languages in the business (along with C++ and Java) and it was that way almost from the beginning.
Dropbox: 200 million users use the platform and it is almost entirely done in Python.
Uber: They have asynchronous services made in Python that support the platform. Although it is not the only language they use, it is one of the most important ones for the operation of their platform.
Spotify: It is the application where almost all of us listen to music. Behind, almost 80% of the services are written in Python.
Netflix: Needs no introduction. Here the programmers choose which tool to program in and more and more use Python.
5. Excellent Career Opportunities
Being a very popular programming language, Python is one of the most sought-after technical skills.
As of Feb 2022, Naukri.com lists over 200,000 Python jobs across different industries and skill levels, with over 50,000 job openings for Python developers alone.
Top companies like Netflix, Yahoo!, Microsoft, Facebook, PayPal, Instagram, etc. are hiring skilled Python professionals and paying them excellent remunerations. Popular Python job designations are –
- Python Developer
- Django Developer
- Python Automation Engineer
- Fullstack Developer
- Software Engineer
- DevOps Engineer
- Data Scientist
- Front End Developer
- Machine Learning Engineer
As per Ambitionbox, the average salary of a Python developer in India is Rs. 4.4 LPA.
6. Python is Good for Web Development
If you are planning to learn web development then it will be good for you to get hands-on with Python. It allows good readability and efficiency and has become quite popular among web developers.
Python offers a range of options for web development –
- Frameworks like Django and Pyramid
- Micro-frameworks like Flask and Bottle
- Advanced content management systems like Plone and Django CMS
The standard library of Python also supports many Internet protocols including HTML and XML, JSON, Email processing, Support for FTP, IMAP, and other Internet protocols, etc.
7. Easy GUI Development Using Python GUI Frameworks
There are some extraordinary graphical user interface (GUI) frameworks in Python such as Tkinter, Streamlit, PySimpleGUI,PyGUI, Plotly Dash, Kivy, etc, which allow developers to build GUI applications. Python GUI libraries can help you in a range of tasks like prototyping, game development, mobile app releases, and many other web applications. Learning Python can certainly help you build helpful UI.
8. Python is Excellent for Testing
Python is an incredible programming language to validate ideas. It has a number of built-in frameworks and libraries like Robot, PyTest, Unittest, DocTest, Nose2, Testify, etc. making coding easier across different cross-platform environments.
9. Strong Community Support
It also has strong community support. If you are a beginner then you can refer to guides, documentation, and tutorials shared by experts and improve your skills in Python coding.
10. Incredible Versatility
With Python, you can create programs for different platforms and devices. Desktop programs for Linux, Windows, or Mac but you can also develop all kinds of web applications or even games. Isn’t that great?
What is a Good Reason to Learn Python?
Known for its versatility and simplicity, Python is the number one programming language for both developers and beginners. we’ll run you through the five top reasons why you should be learning Python right now.
1. Python is the Easiest Programming Language to Learn
The great thing about Python is that anybody can learn how to use it, even entry-level coders. Python uses very simple syntax that uses elements from the natural English language, making it easier to write, read and learn.
This is now more important than ever since a growing number of non-professionals are looking to expand their skill sets and learn how to code – whether that’s to meet the demand for developers in the professional world or to simply pursue their hobbies. This has been made possible with the new-found ease of access to (and an endless supply of) online learning resources.
Cutting out all the unnecessary syntax and lines of code makes Python an approachable language to get started with, in comparison to other languages, which may appear overwhelming – and time-consuming! For instance, what may take 4-5 lines of code in one language, only takes 1 line in Python.
Additionally, as an interpreted coding language, Python allows you to run each line of code after writing it, rather than other compiled languages, such as C++. This is particularly useful for beginners, as they can test their work and gain instant feedback, to make amendments where required, and continuously improve.
Surveys reveal that Python is the number one language that developers want to learn, and it is easy to see why.
2. Python is the Most Versatile Coding Language
Python is the most versatile computer programming language, with a range of different functionalities, including:
- Data mining
- Data Analytics
- Data visualization
- AI and machine learning
- Building apps
- Web development and web application development
- Developing games
- Quantitative and qualitative analysis
- Data Engineering
These are just a few of the many capabilities of Python. As such, we are beginning to see Python being used across more and more industries, such as healthcare, finance, marketing and recruitment. So, whether you’re a creative, an accountant or a scientist, Python can become part of your day-to-day and help streamline your processes and make your life easier.
Python has a wide selection of libraries (over 125,000 and rising), which contain pre-written code, developed by other programmers, that you can draw upon and use for your own projects. Likewise, Python can be run alongside other coding languages, such as Java and C, giving it cross-channel functionality, and further expanding its uses.
3. Learning Python will Improve Your Job Prospects
As the fastest-growing computer programming language in the world, Python is also one of the most in-demand jobs. According to 2020 LinkedIn data, Python is the second most in-demand programming language, after Java.
Learning how to read and write Python will give you an advantage over other job candidates, and improve your employability. Best of all, it is a skill you can carry with you and apply to different industries.
Python’s growing popularity is also attributed, in part, to the rise in AI and machine learning. This means that you could see yourself making a real difference in the future of robotics and other exciting merging technologies.
Some of the top companies, including the likes of Netflix, Google and Facebook, are all on the lookout for Python pros, so now’s the right time to start learning.
4. You can Earn a Competitive Salary Working as a Python Developer
Software developers are one of the highest paying jobs in the UK, and Python Developers have one of the highest paying salaries compared to other programming languages. As a Python Developer, you can expect to earn a competitive salary of anywhere up to £105,000 with the right skills and experience.
It goes without saying, salaries will vary depending on your location, company, specialism, experience, and other important factors.
5. Become Part of a Supportive Python Community
Computer programmers are often perceived as quiet, independent individuals and, although this may ring true for some, this is just a stereotype. A coder can be anyone, and many programmers are keen to socialize and learn from others.
Python has an active community where coders, of all levels, can contribute to forums, ask questions, plan local meet-ups, and support one another. GitHub is a code hosting platform, where programmers from all over the world can come together and collaborate on projects.
With over 56 million users and over 2 million Python repositories on Github, it is safe to say that the Python community is alive and kicking.
What are Some Reasons to Use the Python Programming Language?
Python is commonly used for developing websites and software, task automation, data analysis, and data visualization. Since it’s relatively easy to learn, Python has been adopted by many non-programmers such as accountants and scientists, for a variety of everyday tasks, like organizing finances.
“Writing programs is a very creative and rewarding activity,” says the University of Michigan and Coursera instructor Charles R Severance in his book Python for Everybody. “You can write programs for many reasons, ranging from making your living to solving a difficult data analysis problem to having fun to helping someone else solve a problem.”
What can you do with python? Some things include:
- Data analysis and machine learning
- Web development
- Automation or scripting
- Software testing and prototyping
- Everyday tasks
What are 3 Benefits of Python?
When you are learning a new language let’s say Python, you must be aware of the benefits of that language. This will help you to get a better knowledge of how you can take full advantage of the Python programming language.
With knowing Python’s benefits, we can build robust applications.
1. Easy to Read, Learn and Write
Python is a high-level programming language that has an English-like syntax. This makes it easier to read and understand the code.
Python is really easy to pick up and learn, which is why a lot of people recommend Python to beginners. You need less lines of code to perform the same task as compared to other major languages like C/C++ and Java.
2. Improved Productivity
Python is a very productive language. Due to the simplicity of Python, developers can focus on solving the problem. They don’t need to spend too much time in understanding the syntax or behavior of the programming language. You write less code and get more things done.
3. Interpreted Language
Python is an interpreted language which means that Python directly executes the code line by line. In case of any error, it stops further execution and reports back the error which has occurred.
Python shows only one error even if the program has multiple errors. This makes debugging easier.
Why Should I Learn Python in 2023?
1. Python Is Beginner-Friendly
Why learn Python? For starters, the language is an excellent place to begin if you’re new to coding. One of the biggest hurdles for aspiring coders is the daunting task of learning a new language that looks nothing like what they’re used to reading and writing. However, Python features English syntax and was designed to be concise and easy to read — all of which make it more accessible to first-time coders than many other languages.
Python is also easy to learn because it is an interpreted programming language. This means that you can run each line of code once you have finished writing it, allowing you to immediately check it and make adjustments if needed — a big help to those who are still learning and a time-saver for coders everywhere.
2. Python Is Versatile
Python is highly versatile. You can use it for both small and complex tasks, and it is used across many different industries — from its more common applications in data science and software engineering to environments like mobile app development, artificial intelligence, and machine learning. This multifaceted use is due to the wide array of Python libraries available (over 125,000, to be specific).
Libraries are collections of pre-written code in a particular language that anyone can access, meaning that once you’ve learned the basics of Python, you’ll likely be able to understand and use a huge amount of code developed by other programmers.
Another important aspect of Python’s versatility is its ability to run with other programming languages. A few common examples of Python implementation with other languages are Jython (Python integrated with Java) and CPython (Python integrated with C). Lastly, Python offers cross-platform functionality, meaning that it will function properly whether you’re working with Windows, Linux, or macOS.
3. Python Developer Roles Are in High Demand
4. Python Boasts a Supportive Community
When you’re learning a new programming language — particularly after you’ve completed your bootcamp course or degree — you’ll want to feel confident that you have a community of programmers you can turn to with questions when an issue comes up. One major benefit of Python is its robust and supportive online community, as evidenced by the 1.5 Million GitHub repositories that make Python the platform’s second-largest community.
Python also has its own network of robust community forums, where users can discuss everything from workflow to software development, and Python users often organize meetups around the world to build community and knowledge bases.
5. Python Is the Fastest-Growing Programming Language
When it comes to Python’s popularity and growth rate, the numbers don’t lie. According to the PYPL Popularity of Programming Language Index, Python is the most-searched programming language on the internet — and that doesn’t look like it will be changing any time soon.
According to Stack Overflow, Python is also the fastest-growing programming language, and TIOBE gave it the 2020 Programming Language of the Year award as it gained popularity faster than any other language.
Part of this acclaim is due to Python’s usefulness in the world of data science; as fields like machine learning, data modeling, and AI grows, so too does the demand for Python-related skills. All of this means that, if you’re looking for a new programming language to learn — or looking to transition into the field of programming — Python is a wise choice.
What are the 13 Features of Python?
Numerous features of Python contribute to making it a more popular and preferred programming language among others. Python supports OOP (object-oriented programming) and procedural programming approaches. In addition, it offers the feature of dynamic memory allocation.
There is a long list of Python programming language features, out of which the notable ones are mentioned below:
1. Easy to Code
Python is a very high-level programming language, yet it is effortless to learn. Anyone can learn to code in Python in just a few hours or a few days. Mastering Python and all its advanced concepts, packages and modules might take some more time. However, learning the basic Python syntax is very easy, as compared to other popular languages like C, C++, and Java.
2. Easy to Read
Python code looks like simple English words. There is no use of semicolons or brackets, and the indentations define the code block. You can tell what the code is supposed to do simply by looking at it.
3. Free and Open-Source
Python is developed under an OSI-approved open-source license. Hence, it is completely free to use, even for commercial purposes. It doesn’t cost anything to download Python or to include it in your application. It can also be freely modified and re-distributed. Python can be downloaded from the official Python website.
4. Robust Standard Library
Python has an extensive standard library available for anyone to use. This means that programmers don’t have to write their code for every single thing, unlike other programming languages. There are libraries for image manipulation, databases, unit-testing, expressions, and a lot of other functionalities. In addition to the standard library, there is also a growing collection of thousands of components, which are all available in the Python Package Index.
When a programming language is interpreted, it means that the source code is executed line by line, and not all at once. Programming languages such as C++ or Java are not interpreted, and hence need to be compiled first to run them. There is no need to compile Python because it is processed at runtime by the interpreter.
Python is portable in the sense that the same code can be used on different machines. Suppose you write Python code on a Mac. If you want to run it on Windows or Linux later, you don’t have to make any changes to it. As such, there is no need to write a program multiple times for several platforms.
7. Object-Oriented and Procedure-Oriented
A programming language is object-oriented if it focuses on design around data and objects, rather than functions and logic. On the contrary, a programming language is procedure-oriented if it focuses more on functions (code that can be reused). One of the critical Python features is that it supports both object-oriented and procedure-oriented programming.
A programming language is said to be extensible if it can be extended to other languages. Python code can also be written in other languages like C++, making it a highly extensible language.
Python needs to use only a few lines of code to perform complex tasks. For example, to display Hello World, you simply need to type one line – print(“Hello World”). Other languages like Java or C would take up multiple lines to execute this.
10. Support for GUI
One of the key aspects of any programming language is support for GUI or Graphical User Interface. A user can easily interact with the software using a GUI. Python offers various toolkits, such as Tkinter, wxPython and JPython, which allows for GUI’s easy and fast development.
11. Dynamically Typed
Many programming languages need to declare the type of the variable before runtime. With Python, the type of the variable can be decided during runtime. This makes Python a dynamically typed language.
For example, if you have to assign an integer value 20 to a variable “x”, you don’t need to write int x = 20. You just have to write x = 15.
12. High-level Language
Python is a high-level programming language because programmers don’t need to remember the system architecture, nor do they have to manage the memory. This makes it super programmer-friendly and is one of the key features of Python.
13. Simplify Complex Software Development
Python can be used to develop both desktop and web apps and complex scientific and numerical applications. Python’s data analysis features help you create custom big data solutions without so much time and effort. You can also use Python data visualization libraries and APIs to present data in a more appealing way. Several advanced software developers use Python to accomplish high-end AI and natural language processing tasks.
Why Python is Important Today?
Python has countless applications in the world of programming and can be of significant value for your business. Python is a language that is widely known for its pragmatic features such as easy readability, database management, security, integration with third-party tools, traffic management, etc.
All these features are immensely crucial for running a profitable business application. Here are a few more reasons why Python should be the first choice for your business apps:
- Python can create an intuitive and interactive user interface for your website or mobile application.
- It is an excellent language for new-age technologies and concepts such as Big Data, Machine Learning, Data Analysations, Visualisations, etc.
- The scripting of the language is straightforward and can create small, efficient programs to automate the operational tasks.
- Python acts as an accessible source code for different assets such as your company’s website, apps, etc.
Your doubts about Python might fade away after knowing that a huge number of top-rated companies of the world use Python for their operations and projects. More or less, every recognized company in the world leverages Python. Some of the top mentions are
There might be strong reasons these top-shelf companies are utilizing Python to develop their apps and run their operations. Therefore, you must also hire python developers and start building your project with Python.
What is Python and its Benefits?
Python is an open-source, high-level, dynamically-typed, portable, expressive, easy to learn, and code programming language. The very fact that Python is available open-source is the reason for the existence of large community support for the programming language. Top companies such as Google, Yahoo!, Pinterest, Disney, Nokia, IBM have Python as their main Programming language.
More than being an exceptional programming language, it is the combination of features that makes Python widely adopted for diverse applications development.
- Third-Party Modules
Python Package Index (PyPI) comprises a multitude of third-party modules which makes Python integrate with other languages and platforms easily.
- Presence of Libraries
Python is fraught with numerous standard libraries that include string operations, internet protocols, web service tools, Machine Learning libraries, and operating System Interfaces. The presence of these libraries essentially helps in reducing the code to be written by the programmer.
- Open Source and free
Python is free for use even for commercial purposes. Moreover, active
developers can contribute by developing modules and appending them to the existing library.
- Huge Support Community
Due to lack of official technical support for Python is open-sourced has prompted the development of communities that enrich the resource bank for continued development and adoption of the language.
- Easy to learn
Python is popular for its excellent readability. This means, even a non-programmer can read and comprehend the uncluttered syntax. The PEP 8 guidelines provide a set of rules to help in formatting the code.
- User-Friendly data structures
With its built-in data structures, Python can easily construct run-time data structures including Arrays, Lists, tuples, and Files.
Being expressive and with object-oriented design, Python contributes to increased speed and productivity even with less amount of coding. Python is considered ideal for developing complex, multi-protocol network applications.
Is Python Good for Future?
Python is the Future and it will serve as a huge, reliable, effective and ready-to-use technology. What it can do for us? Well, it can play around with data, visualize the data, transform inputs into a numerical matrix, or actual machine learning and assessment.
The sudden rise of demand for python and every platform becoming a “python-oriented-platform”, isn’t everything just getting “pythonized”?
First of all, man’s life chasing point – money!
For future and present programmers, Python is becoming the first-choice language for learning it to get “actual jobs”. It is also being used for many purposes, from web development to mobile app development to data science. However, Data science is attracting the mob towards Python.
Secondly, Python’s serious versatility. Python is a multipurpose language used for various tasks, as seen above. “Pandas” is by far the fastest-growing Python package. Therefore it seems clear that the rise of data science is responsible for the growth of Python as “it’s” programming language.
Finally, Machine Learning. There is no special programming language dedicated to Machine Learning, but looking at the characteristics of each language that can do ML, choose the best that will fulfill their needs, Python. It is one of the most popular and the best languages for Machine Learning.
Over the years, Python has swept into the coding world and has managed to reach the top. The survey and job research in major countries calculated that over 40,000 jobs are entirely for python experienced developers.
To add on, internet search tags are also higher for python only in those countries which helped it to make it to the top! It is no wrong in saying that Data science combined with python has the best career and future complementing each other and to new heights.
What’s Unique About Python?
Python has a solution for every field. It is the most versatile language till now and has a bright future ahead. There is a long list of fields where Python is considered to be the most suitable programming language. The major 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. There are many big names that have either built their applications on Python or have completely shifted their tech stack to Python. Some of these include YouTube, Google, Instagram, and Pinterest.
Python is a very versatile language and if you have a good knowledge of Python, there can be various career opportunities in your hand. Some of these opportunities are as follows: You can be a Python developer right after acquiring the Python knowledge. Python developers are responsible for building websites, optimize data algorithms, or write clean and efficient Python codes.
A data analyst has to deal with large sets of data, analyze them and make them visualized. If you are a Python geek and love to play with data then this job is for you. Project management is in high demand as a project manager is highly responsible for the business and marketing of the companies.
What Type of Language is Python?
Python is an interpreted, interactive, object-oriented programming language. It incorporates modules, exceptions, dynamic typing, very high level dynamic data types, and classes. It supports multiple programming paradigms beyond object-oriented programming, such as procedural and functional programming. Python combines remarkable power with very clear syntax.
It has interfaces to many system calls and libraries, as well as to various window systems, and is extensible in C or C++. It is also usable as an extension language for applications that need a programmable interface. Finally, Python is portable: it runs on many Unix variants including Linux and macOS, and on Windows.
What are Python Functions?
In Python, a function is a group of related statements that performs a specific task.
Functions help break our program into smaller and modular chunks. As our program grows larger and larger, functions make it more organized and manageable.
Furthermore, it avoids repetition and makes the code reusable.
Syntax of Function def function_name(parameters): “””docstring””” statement(s)
Above shown is a function definition that consists of the following components.
defthat marks the start of the function header.
- A function name to uniquely identify the function. Function naming follows the same rules of writing identifiers in Python.
- Parameters (arguments) through which we pass values to a function. They are optional.
- A colon (:) to mark the end of the function header.
- Optional documentation string (docstring) to describe what the function does.
- One or more valid python statements that make up the function body. Statements must have the same indentation level (usually 4 spaces).
- An optional
returnstatement to return a value from the function.
Example of a function
This function greets to
the person passed in as
print("Hello, " + name + ". Good morning!")
How to call a function in python?
Once we have defined a function, we can call it from another function, program, or even the Python prompt. To call a function we simply type the function name with appropriate parameters.
Hello, Paul. Good morning!
Try running the above code in the Python program with the function definition to see the output.
Where Python is Used in Real Life?
Python is a very stable programming language choice that is in use at the developers’ end as well as thought of as an apt choice for automation of deployment automation. Of course, it has a lot of uses in web-related development. Even the non-developer groups believe that once they have a hang of the framework in Python, it is a preferred language for conducting data-related work.
1. Web Development
When it comes to web development, Python should be your go-to tool. Why?
That’s because Python offers numerous options for web development. For instance, you have Django, Pyramid, Flask, and Bottle for developing web frameworks and even advanced content management systems like Plone and Django CMS.
These web frameworks are packed with standard libraries and modules which simplify tasks like content management, database interaction, and interfacing with internet protocols like HTTP, SMTP, XML, JSON, FTP, IMAP, and POP.
Python web frameworks are known for their security, scalability, and flexibility. To add to that, Python’s Package Index comes with useful libraries like Requests, BeautifulSoup, Paramiko, Feedparser, and Twisted Python.
2. Game Development
As we mentioned earlier, Python comes loaded with many useful extensions (libraries) that come in handy for the development of interactive games. For instance, libraries like PySoy (a 3D game engine that supports Python 3) and PyGame are two Python-based libraries used widely for game development. Python is the foundation for popular games like Battlefield 2, Frets on Fire, World of Tanks, Disney’s Toontown Online, Vega Strike, and Civilization-IV.
Apart from game development, game designers can also use Python for developing tools to simplify specific actions such as level design or dialog tree creation, and even use those tools to export those tasks in formats that can be used by the primary game engine. Also, Python is used as a scripting language by many game engines.
3. Scientific and Numeric Applications
Thanks to its massive library base, Python has become a crucial tool in scientific and numeric computing. In fact, Python provides the skeleton for applications that deal with computation and scientific data processing. Apps like FreeCAD (3D modeling software) and Abaqus (finite element method software) are coded in Python.
Some of the most useful Python packages for scientific and numeric computation include:
- SciPy (scientific numeric library)
- Pandas (data analytics library)
- IPython (command shell)
- Numeric Python (fundamental numeric package)
- Natural Language Toolkit (Mathematical And text analysis)
4. Artificial Intelligence and Machine Learning
AI and ML models and projects are inherently different from traditional software models. When we talk about AI/ML projects, the tools and technologies used and the skillset required is totally different from those used in the development of conventional software projects.
AI/ML applications require a language that is stable, secure, flexible, and is equipped with tools that can handle the various unique requirements of such projects. Python has all these qualities, and hence, it has become one of the most favored languages of Data Science professionals and Python is a must tool in data science courses.
Python’s simplicity, consistency, platform independence, great collection of resourceful libraries, and an active community make it the perfect tool for developing AI and ML applications. Some of the best Python packages for AI and ML are:
- SciPy for advanced computing
- Pandas for general-purpose data analysis
- Seaborn for data visualization
- Keras, TensorFlow, and Scikit-learn for ML
- NumPy for high-performance scientific computing and data analysis
Apart from these libraries, there are also other Python-based libraries like NLTK, Caffee, PyTorch, and Accord.NET, that are useful for AI and ML projects.
5. Desktop GUI
Python not only boasts of an English-like syntax, but it also features a modular architecture and the ability to work on multiple operating systems. These aspects, combined with its rich text processing tools, make Python an excellent choice for developing desktop-based GUI applications.
Python offers many GUI toolkits and frameworks that make desktop application development a breeze. PyQt, PyGtk, Kivy, Tkinter, WxPython, PyGUI, and PySide are some of the best Python-based GUI frameworks that allow developers to create highly functional Graphical User Interfaces (GUIs).
6. Software Development
Python packages and applications aim to simplify the process of software development. From developing complex applications that involve scientific and numeric computing to developing desktop and web applications, Python can do it all. This is the reason why Software Developers use Python as a support language for build control, testing, and management.
For instance, SCons is designed explicitly for build control, Buildbot and Apache Gump allow for automated continuous compilation and testing, and Roundup and Trac are great for bug tracking and project management.
Python also supports data analyzation and visualization, thereby further simplifying the process of creating custom solutions minus the extra effort and time investment.
7. Enterprise-level/Business Applications
Enterprise-level software or business applications are strikingly different from standard applications, as in the former demands features like readability, extensibility, and scalability. Essentially, business applications are designed to fit the requirements of an organization rather than the needs of individual customers.
Thus, these applications must be capable of integrating with legacy systems like existing databases and non-web apps. Since business applications are developed, keeping in mind the custom requirements to cater to the specific needs of an organization’s operating model, the entire development process becomes very complicated.
This is where Python can make a significant difference. Python high performance, scalability, flexibility, and readability are just the features required for developing fully-functional and efficient business applications. Furthermore, Python has other tools for business application development, like:
- Odoo, an all-in-one management software that forms a complete suite of enterprise management applications.
- Tryton, a three-tier, high-level, general-purpose application platform, is another fantastic tool for building business applications.
After reading about all these versatile and diverse real-world applications of Python, it is safe to conclude that Python is capable of handling almost any development requirement. In the last few years, Python applications have gained newfound traction in the field of Data Science as well, particularly in Machine Learning.
Python has brought in a lot of changes to the industry given it is easy to use as well as comes packed with powerful libraries. Additionally, it offers a wide range of applications that boost productivity. The jobs in Python pay hefty packages over time and Python developers are in high demand. The ease of learning Python makes it an option to bag a steady and well-paying job too.