Python is one of the greatly typically used languages, and among its numerous applications are data mining, AI, web development, embedded systems, and many others. Python is an outstanding choice for doing rapid prototypes, which implies it's utilised by start-ups to promptly establish their preliminary minimum attainable product (MVP). Python is one of the vastly highly scalable terminologies and is therefore utilized by many of the world's largest and most progressive businesses.
Python Applications
The language has become so prominent in recent times that aspirants are assembling to comprehend the language and develop Python programming skills. We will be characterizing some of the most crucial real-world applications of Python.
1. Web Development
A python is a good option for the abrupt development of web applications. With numerous frameworks like Django, Pyramid, and Flask, Python authorizes you to build web apps with great speed. Python is utilized on the server-side of web development, you can use Python to interact with the database and build Rest API services.
2. Data Science
Earlier Python was primarily used for building applications and writing scripts to automate tasks but now an entirely new trend of data science has uplifted Python even more.
Data science people are heavily dependent on Python because of its objectives like simplicity, great community, and capabilities to compute huge calculations with ease. Python libraries and frameworks that are popular in the data science field are:
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Pandas (Data analysis)
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Numpy (Numeric and scientific calculations)
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Matplotlib, Seaborn (Data visualizations)
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Scikit-learn (Machine learning)
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TensorFlow, Keras (Machine and Deep learning )
3. Artificial Intelligence
The near future will be the time of artificial intelligence. Computers and machines were utilized to accomplish mathematical calculations at very high speeds but presently many big institutions and researchers are labouring on building intelligent systems that can accomplish tasks as a human would. To some extent, machines are capable enough to comprehend human emotions and their natural language. They can mimic certain actions accomplished by humans that were not possible before. Again Python is outstanding for building AI systems.
Some Python libraries that are used for building intelligent systems are listed below:
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NLTK – Natural language toolkit for Natural language processing
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OpenCV – Open-source computer vision library
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Keras – Deep learning library
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Microsoft cognitive toolkit – Deep learning framework
4. Automation
Python can make life easier by automating many tasks like scraping a website to collect data, automating test cases in software development areas, to automating mundane office tasks.
Python can easily access and browse all types of files which opens up an opportunity to save a lot of time by automating repetitive tasks. The frameworks or libraries used for automation are:
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Robot framework
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PyTest
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Selenium Python
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PyUnit
Python is being utilized in diverse fields exceptionally and it shows no signs of stopping. It is safe to conclude that Python will stick for the long run in this ever-changing and evolving IT industry.
Why Learn Python?
To make it approachable for you, we’ve listed the top reasons why to learn Python.
1. It couldn’t get simpler than Python!
The main reason why Python is an excellent choice for beginners is its born simplicity.
Python’s simple syntax (it almost resembles English!) and high readability characteristics make it a beginner-friendly language. Naturally, the learning curve of Python is way shorter than that of any other language (Jave, C, C++, etc.). Further, Python lets you go straight to your exploration part without worrying about the documentation.
2. Python is highly flexible and extensible
Python is highly scalable and extensible. This flexibility of Python enables you to accomplish cross-language operations without any hassle. Not only can you merge it with Java and .NET components, but you can also use Python to invoke C/C++ libraries. Also, almost all contemporary outlets like Windows, Linux, Macintosh, Solaris, etc., support Python.
3. Python makes web development a breeze
Another purpose why to learn Python is that it creates the web development process so much easier. Python comes with a wide variety of web development frameworks such as Django, Flask, Pyramid, TurboGears, Web2Py, Bottle, CherryPy, Hug, Falcon, Sanic, and FastAPI, to name a few.
These Python frameworks assist developers to write stable code much faster. They can automate the execution of common (standard) solutions, thereby decreasing the development time. This enables developers to concentrate on more critical elements like application logic. Apart from this, Python frameworks can also accomplish web scraping tasks.
4. Python comes with numerous testing frameworks
When it comes to testing or validating ideas/products, Python is the way to go. It encompasses several built-in testing frameworks that enable debugging & speeding up workflows.
Python supports both cross-platform and cross-browser testing with frameworks like PyTest and Robot. There are also other testing frameworks like UnitTest, Behave, and Lettuce.
5. Python is excellent for Enterprise Application Integration (EAI)
Python is an incredible choice for EAI. It can be embedded in applications seamlessly, and it also applies to applications written in other languages. Case in point, not only can Python invoke CORBA/COM components, but it can also directly call from and to Java, C++, or C code. The language features strong integration bonding with Java, C, and C++, which makes it excellent for application scripting.
Python’s text processing and integration abilities are highly commendable. It can be used for developing GUI and desktop applications as well.
6. Python is backed by an active community
Python boasts of a vibrant and well-knit community that you can rely on. In case of any coding-related or Data Science issues, you can always seek help from the Python community. They are ever-ready to help people. Since it is an open-source language, every day new growth is being made in the community – developers and coders regularly contribute to endowing the language by developing new tools and libraries.
7. Python skills can command high salaries
If you have Python skills, you can grasp high salaries in the industry. Since Python rules the development and Data Science fields at present, it promises a high growth graph with huge salary prospects.
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