Reasons To Learn Python
There is an N number of programming languages in the market. So why the Python is the best among all of them and why you should go for it. So why you should learn Python.
Python is easy to read and easy to learn. Python is a very powerful language and it takes absolutely no skills to learn Python. It’s free and open source. It is a high-level language where one does not need to worry about the low-level.
Why one should learn Python. Why do we need Python?
You can simply write your code in English and Python will, in turn, convert it into lower-level details. Also, Python is an interpreted language, where the machine reads and interprets the code where all the errors are checked during the runtime.
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Moreover, if you compare Python with any other programming language such as C, C++, Java, PHP or anything, it has outshined among all its peers. Now if you see Python you don’t have to deal with complex syntax. Like – if you want to print hello world, you have to write these 3 lines in Java language.
On the other hand, 1 line is sufficient to print “hello world” in Python programming.
Python developer salary package
Here are some of the common reasons to learn Python:
The average Python developer salary in the United States is approximately $123,743 per year [Suggested by Indeed] and if you see the trend, Python is still there and has a strong spike in popularity over the last year. Moreover, many big players in the industry have been using Python for quite a long time.
Google who is using Python for web searches then we have YouTube which is largely written in Python and many other companies such as Instagram, NASA, Dropbox, Facebook and many more. Python is ideal and it is completely capable of doing the job.
1. Extensibility of Python
In Python, you can completely integrate your Java as well as dotted components and even if you wish you can also invoke C and C++ libraries as well. Therefore you can make cross-language operations with Python. Moreover, Python is extremely extensible with most of the programming languages.
2. Computer Graphics
So Python is widely used in small as well as in large plans. It is used to build GUI which stands for graphical user interface it is also used for desktop applications and then we have game development. The Tkinter is the approved GUI library for Python.
The Python when linked with Tkinter, until it provides a quick and simple way to build GUI application. We also have JSON that presents Python scripts seamless access to Java with WX Python, which is another open-source Python interface for Windows.
3. The simplicity of the code
The Python is simple and easy to learn, which makes the best suit for beginners. Moreover, Python is supported by most platforms present in the industry today. It could be a Windows, Macintosh, and Playstations, etc.
4. Website development framework
Python provides a lot of choices. Moreover, it has an array of frameworks for producing a website. Now the most popular frameworks available in Python are Django, Flask, Pylons, and Web2py.
Now Django and all other frameworks are addressed in Python and as the main reason which creates the code a lot quicker and stable. Moreover, there is Flask which is a different framework, but it’s tiny and majorly developed for customizability.
Once you start using these frameworks you will never look back to PHP or any other programming language. With the help of Python, you can also do the scraping, which is nothing but fetching details from any other website and storing it in your local system.
As many different websites such as Instagram, Bitbucket build on these. Therefore Python is majorly used in web development.
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5. Game development
We can simply write the logic of the game. Python uses a portable called a spy game and these spy game applications can run on Android devices. To learn Python, you need to enroll in Python certification training now.
6. Handling Big data files
Python can manage a large number of troubles or difficulties in the data section. Moreover, it can hold parallel computing, which can be used for a loop as well. We have a library in Python known as PYDOOP, where you can write a MapReduce application in python and process the data, that is present in the HDFS cluster. As there are many of the libraries like – DASK and PySpark for big data processing.
7. Artificial intelligence
Artificial intelligence is the next huge development in the tech world. When it’s combined with libraries like sci-kit-learn, Python can do difficult calculations. Now with artificial intelligence, you can create a machine to mimic the human brain, having the power to study, investigate and make judgments on it.
Moreover, libraries like – an open CV that helps in image recognition like computer vision. You can detect a face or a color and apart from image recognition you can also detect a character or handwriting as well.
Everything is available in Python. So all this is a part of AI and machine learning. Hence you can also boost up the overall productivity of the company by saving their time and money. All of this can be achieved using Python.
8. Data science research
Python is the leading language for many data scientists. now for years Academy scholars and Python field researchers were using the matplotlib language for scientific research. This all began to change with the release of Python numerical engines like – Numpy and Pandas.
9. Testing frameworks
Creating software is not an easy task as it contains many processes starting from its design, code, test cases, and software testings. Undoubtedly the most important process of the software life cycle.
Python has several established testing frameworks that cover debugging and the fastest workflows. As there are lots of different tools and modules to make things easier. Such as Selenium, which is a popular automation tool and then we have Splinter so it supports testing with cross-platform and cross-browser with frameworks.
Like – PI test and Robert frame book now it has much great software testing supports and tools available which helps a tester to complete its work in less time and much easier way. Software testing is indeed a slow task and Python is the best booster for it. Every tester must go for it.
10. Automation
As we all know, python is a programming language. But it can also be used as a scripting language. In the scripting part, the code is written in the form of scripts and gets executed.
The machine runs and interprets the code. Whereas all your error checking is done during runtime and once this code is checked it can be used several times.
By automation, you can automate certain tasks in a program you can open a browser and post a Facebook status. so this is how automation plays a major role in Python.
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