Python is one of the best programming languages currently out there. No matter if you are planning to develop a game, AI-based software, data analysis tool, or website, python has it all! It has all the necessary features that any small or corporate grade software needs.
It is because of python that the technological world has surpassed human expectations. Today, industrial processes are becoming faster and more automated, all thanks to python. If you want to be part of the ingenious industrial development, it is imperative to keep up with the latest innovations.
Somehow python plays a pivotal role in supporting every innovative technology today. In this article, we will analyse different applications for python along with its impact on various technologies.
What is Python?
Python is a high-level, interpreted, general-purpose programming language. It was created by the great Guido van Rossum in the late 1980s, it has constantly been gaining popularity ever since.
One of the main reasons for its popularity is that it is very simple to read and understand. Even if you are new to programming, learning python would be a cakewalk. Moreover, it supports multiple paradigms, such as procedural, functional, and object-oriented programming. This makes it really versatile and adaptable.
What adds to its utility is the presence of a large number of standard libraries. These libraries enable you to carry out various tasks, such as web development, image processing, etc., without having to write additional code.
Take a Class in Python for Web Development!
When it comes to applications of the language, the development sector uses it to the fullest. Python is a well-adapted language by the web development sector. A clear proof of this is the websites that are built using python like Spotify, Mozilla, Reddit, etc.
The primary use of python in the development field is seen in developing the backend of the websites or apps. The backend is essentially the server side of the app or website. It consists of three parts - the database, the application server, and the web-server.
The parts of the website or app may seem overwhelming, but with the frameworks of python, it will be easy for you. The programming language offers you various frameworks to work with:
Website development with python deals with various aspects, like
- Mocking, Testing, and Test-Driven Development
- Integrating back-end code with front-end libraries and frameworks
- Deploying your Python Application or website
- Containerising websites and applications
- Designing and interacting with Application Programming Interfaces
How can Python Tutorials Help in Data Science?
As we are clear about how Python can assist in web development, let’s see how well it does in data science.
Data science is a field that deals with the extraction of hidden patterns from raw data. It is used in a variety of industries such as healthcare, finance, retail, etc. It has applications in predictive analytics, big data analysis, and machine learning.
Python is considered to be the best language for this field because of the following reasons:
- It has a large number of libraries for data manipulation and analysis, such as NumPy, Pandas, etc.
- It also has libraries for ML, such as TensorFlow, Keras, etc.
- It is easy to learn and use, making it best for beginners.
- It is a versatile language and can be used for tasks other than data science, such as web development and image processing.
These are some of the basic reasons for using python. However, python has way more to offer when it comes to data science. Users today have unlimited choices, which becomes a challenge for firms when it comes to retention. Therefore, they tap into data analytics to understand user behaviour and preferences.
As the data is in large heaps, analysis can be hard with traditional methods. This is where data science libraries of python can be useful.
- NumPy: It is used for the mathematical analysis of large data arrays and matrices.
- Pandas: The library is primarily used for tabular data manipulation. It makes it simple and ensures that the resultant data set is easy to clean and analyse.
- Matplotlib: Unlike seeing data in an unstructured way, the use of this library makes it seamless to visualise it in the form of scatterplots, line charts, bar graphs and more.
- SciPy: Beginners and professionals both can use this library in scientific computing, such as optimisation, statistical analysis, etc.
Other examples of python libraries that help a beginner in the analysis are Scikit-learn, Tensor Flow, Keras, PyTorch, etc.
How can Python Elevate Computer Game Development Skills?
Well, if we talk about games, python has a big hand in the development of games that we play today. The gaming sector is one of the most entertaining and evergreen sectors in the industry. And what makes it even more interesting is that it offers a big scope for development and improvement.
The language python helps developers (beginner, intermediate and expert) create 2D as well as 3D games without any hassle. It also helps them add artificial intelligence to the game, which can be a great plus point. Games such as Civilization IV, Battlefield 2, Morrowind, etc., are some examples of the best 3D games built using python.
Pygame is a library of python used by developers to create 2D games with ease. It consists of functions and classes that assist in developing various functionalities in the game, like sound, text, image manipulation, etc.
In addition to these libraries, python also has a great set of tools that can be used for computer game development, such as Visual Studio, PyCharm IDE, etc. These tools enable developers to keep track of their code and make the process of debugging much easier.
Apart from these tools and libraries, python also provides developers with frameworks that help in saving time and effort. Some of the examples of python frameworks for game development are:
And many others!
Empowering Machine Learning With Python!
If you’re into the technology sector, you must have heard about ML or machine learning. It is a part of AI and computer science that helps machines learn like humans do, i.e., by analysing data and making predictions based on the results.
Python is one of the best languages for ML because of its rich set of libraries and tools that help speed up the development process. One such library is Scikit-learn which provides various useful functions specifically designed to be used in ML models.
It has algorithms like classification, regression, clustering, etc., built into it that can help you explore a variety of ML applications, from image processing to natural language processing.
Other libraries that can be used in conjunction with Scikit-learn include NumPy, Pandas, Matplotlib, and TensorFlow. These libraries provide a variety of functions that can help you work on large datasets and develop complex ML models for applications.
So, if you aim to be an ML engineer or developer, you need to learn and master python to its extreme.
Python For Robotics!
Automation has taken the world real quick, and robots have a pivotal role to play in that. Right from manufacturing to agriculture, delivery to space exploration, robots are being used in every sector you can think of. And python has a special place in the world of robotics.
Robots are generally programmed using low-level languages such as C++ or Java. But with Python, you can use its high-level libraries and tools to develop various applications for robots without any hassle. These applications can range from simple tasks like moving the robot around to complex ones like image processing and navigation.
Some of the popular libraries used in developing robotic applications are:
- ROS (Robot Operating System)
And many others!
Python and Superprof!
If you are a beginner and keen to learn python programming, there are various ways to do that, such as books, python tutorials for beginners, courses, online classes and whatnot. Online classes or tutorials can be an effective way to get your hands on the language.
Superprof is an online learning platform that you can use to master python. There are a number of distinguishable things about the platform, such as a pool of tutors, free demo lectures, and qualified and pro tutors with expertise in intermediate and advanced python projects.
The best thing among these aspects is the free demo class. You can leverage this free class to understand the teaching method of the teacher. If you are not satisfied with the skills, you can change the tutor. The tutors on superprof provide offline or private classes too. So, if you are looking for dedicated attention, you can take up a private python course for yourself.
Before you get started with your journey, you need to register yourself. You need to note that tutors have their individual rates, tutorials, and time limit. Ensure that you read and check everything carefully before enrolling yourself with Superprof!
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