To make this article tastier, let me mention some food first: - Cheesy Meatball Sliders, Spicy Shrimp Fettuccine Alfredo, Ground Beef Spinach Alfredo Lasagna, Chicken Parmesan Burgers, Chicken Ravioli Bake, Mozzarella Baked Spaghetti, Italian Pasta Bake (alright that’s enough) etc. To complement your food or to make the dish more visually attractive, we add different types of sauce to most of our food.
In this digital world, almost all of the top industries like the travel, banking, education, research etc. industries are now mostly software driven. Among all the programming languages, most industries use Python and for this reason I call Python “the tech sauce” due to its usability in almost all of the major leading industries of the world.
In this article, I talked about the various applications of python so that you can know its applications and select your preferable field/fields and learn python accordingly and efficiently. I also wrote about how some of the most renowned companies are now using Python.
Why learn Python?
Before going to its major applications let us learn about frameworks and libraries.Frameworks are a collection of modules and packages. Frameworks are codes written by someone else that helps you perform some common tasks in a less verbose way. A framework inverts the control of the program or, it controls the algorithm itself. It tells the developer what it needs in order for the program to work. They automate common processes and implementation.
Libraries are also codes that are written by someone else that aids in performing common tasks in python, but a library doesn’t tell the developer what they need like a framework. Rather, the programmer calls the library whenever and wherever they need it.
The degree of freedom a library or framework gives the developer will dictate how “opinionated” it is or in how many ways the library or framework will let you write the code.
Web Development
Python and its popular frameworks like Django and Flask are used to create many websites. Also, python is used to power functionality, security, easy scalability, convenience in the development process, manage user accounts, and manage databases, among other things. Python also has one of the largest collections of libraries that not only enhance the functionality of web applications but also make it easier to do so.
Game Development
Battlefield 2, Sims 4, World of Tanks, Civilization IV, Eve Online, Mount & Blade, Doki Doki Literature Club, Frets on Fire, and Disney’s Toontown Online Vega Strike, and much more, all are created with the help of the Python language. Some of the many 2D and 3D game development libraries of Python that make this possible are PyGame, Pycap, Construct, Panda3D, PySoy, PyOpenGL.
Artificial Intelligence (AI) and Machine Learning (ML)
To put it simply, AI is decision making and ML allows systems to learn new things from data. With Python’s stability and security, it can easily handle the intensive computations that keep the AI and ML systems running. Some of the most popular libraries for this cause are: SciPy (for scientific and technical computing), Pandas (for data analysis and manipulation), Keras (for Artificial Neural Networks), NumPy (or complex mathematical functions and computation), TensorFlow (for Machine Learning tasks, especially Deep Neural Networks), Scikit (for working with various Machine Learning models).
Data Analysis and Data Visualization
In today’s world, there is a lot of data and it is important for every business to sift through that data in order to make money with maximum efficiency. Here, python plays a necessary role to extract the valuable data that can be used to take measured risks and profit incrementation. Using extracted data and Python libraries like NumPy, Pandas, you can study data that you have and can easily perform several data analysis operations. For data visualization, there are different libraries like Seaborn, Matplotlib which are used to plot graphs and charts and extract valuable information from the available data.
Web Scraping
Python is the best programming language for extracting a big amount of valuable data from websites, which can subsequently be used in real-world operations like pricing comparison, research and development, job postings, and more. Some of the popular Python’s web scraping tools are MechanicalSoup, Selenium, Scrapy, BeautifulSoup, LXML, Python Requests, and Urllib.
CAD Application
Engineering-related industries such as automotive, aerospace, architectural, and many more use CAD (Computer-aided design). CAD is used to create a three-dimensional depiction of a system component and for product design. Python has also conquered the domain of CAD with its highly popular and efficient offerings, such as FreeCAD, Fandango, PythonCAD, Blender, and Vintech RCAM. These applications provide industry-standard features like macro recording, workbenches, robot simulation, sketcher, support for multi-format file import/export, technical drawing modules, and much more.
Image Processing
Some of the popular image processing Python libraries include OpenCV, Scikit-Image, and Python Imaging Library (PIL). Other examples of more common image processing applications that use Python are GIMP, Corel PaintShop, Blender, and Houdini.
Text Processing
Python Programming can be used to process text data for the requirements in various textual data analysis. A very important area of application of such text processing ability of python is for NLP (Natural Language Processing). NLP is used in search engines, newspaper feed analysis and more recently for voice -based applications like Siri and Alexa. Python's Natural Language Toolkit (NLTK) is a group of libraries that can be used for creating such Text Processing systems.
Software Development
Python offers a host of features, such as quick execution, high compatibility, strong community support, and an enormous collection of libraries. Some of the python tools for app development are Django, Kivy, Pyramid, Flask etc. Among all the tools, Django is the best open-source Python framework and can be used for rapid development works. Various python frameworks (like- Flask, a web application framework) can also be used for developing blockchain applications.
Audio and Video Applications
Tasks such as basic signal processing, creative audio manipulation, audio recognition, and more can be easily handled by libraries like Pyo, pyAudioAnalysis, Dejavu, and many other libraries like it. As for the video part, Python offers several libraries, such as Scikit-video, OpenCV, and SciPy, that can help you manipulate and prepare videos for use in other applications.
Companies that use Python
PinterestPinterest uses the Django web framework to deal with a mass of content as it is an image sharing site. Pinterest is making use of Python to offer the best user experience.
To handle more than 800 million active users every month, Instagram uses Python on its backend. Instagram also uses Django, which is written entirely in Python.
Spotify
Python has helped Spotify in advanced data analysis and backend services. It helps apps work faster and manages several advanced functions, such as Discover and Radio.
Dropbox
Dropbox is a file-hosting service and recently moved from Python 2.7 to Python 3. Python is portable and capable enough to work on various platforms, from Linux and PC to PlayStation.
Uber
Python helps Uber handle a large amount of data as it has more than 100 million users. It makes the app secure, reliable, and manageable.
Over 600 million monthly active users make Reddit one of the most prominent examples of using Python. It offers Reddit great development flexibility and wider access to code libraries.
Bank of America
Python is the most preferred choice as it provides collaboration and transparency. Python is a simple and clear programming language that meets all main financial structures.
Robinhood
This company offers a smartphone application to its clients that enables the users to make decisions to invest for free. Moreover, it adds a cryptocurrency functionality that makes it possible to trade Ethereum and Bitcoin. All have done with Django/Python technologies.
In conclusion, Python is an extremely robust and versatile programming language that rapidly gained popularity among developers from various sectors. Its ability to be deployed into virtually any domain is remarkable, thanks to its vast ecosystem of diverse libraries.
In the end I leave you with two questions, So, why do you want to learn python? and like me would you also consider python as the tech sauce?
Leave your thoughts and reviews here.
Keep learning and have a good day.