Today I'm going to tell you with the top end reasons
to learn Python. Now there is n number of programming languages in the market
and I'm going to tell you what Python is the best among all of them and why you
should actually go for it. So get ready to fall in love with Python.
Now let us start from the tenth point as to why
you should learn this language. At number 10 we have Python, which is extremely
simple and easy to learn. Python is easy to read, easy to learn since it closely
resembles your English language. It is a very powerful language and it takes
absolutely no skills to learn Python. So Python is free and open-source, it is a
high-level language where one does not need to bother about low-level. You can
simply write your code in English and Python will, in turn, convert it into lower-level
details. In addition, Python is an interpreted language where the machine reads and
interprets the code wearing all the arrows that are checked during the runtime.
Now, Python has a large community so if you
have any doubt at any technical issue you can see thousands of Python community
members on forums like Twitter, Facebook, and Q&A websites everywhere. If
you compare Python with any other programming language such as C, C++, Java,
PHP or anything so python has outshined among all its peers. Now if you see
Python you don't have to deal with a complex syntax, for example, if you want to
print hello world you have to write only three lines in Java, whereas in Python
just one line is sufficient to print hello world. It's that simple guy so the
tenth reason lies in the simplicity of the code which makes the best suit for
beginners.
Let us go to the next point that is it is
portable and extensible, so by the portability of Python I mean python is supported
by the most platforms present in the industry today. It could be a Windows platform;
it could be Macintosh as well as your Playstations upwards. Python now let me talk
about the extensibility of Python so 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 perform cross-language operations
with Python.
Python is extremely extensible with most of the
programming languages now at eight-point, which is quite the most popular
reason to choose python is web development we're programming with. Python provides
many choices as Python has an array of frameworks for developing a website. The
most popular frameworks available in Python are Django, Flask, Pylons and Web 2
pi. Now, Django and in fact all other frameworks are written in Python and as the
core reason which makes the code a lot faster and stable, then there is frost
which is another Python framework but it is tiny and is majorly built for
customizability. There is once you start using these frameworks you will never
look back to PHP or any other programming language now.
With Python, you can also do scraping which is
nothing but fetching details from any other website and storing it in your
local system. You will also be impressed as many websites such as Instagram
Bitbucket and Pinterest build on these frameworks only. Therefore, Python is
majorly used in web development.
Next at the seventh point, we have artificial
intelligence, so artificial intelligence is the next huge development in the
tech world now when it is combined with libraries such as sci-kit learn. Python
has the ability to do complex calculations with just a single statement. Furthermore
libraries such as Kara's and TensorFlow, machine learning functionality into
the mix now with artificial intelligence you can actually make a machine mimic,
the human brain which has the power to think to analyze and make decisions on it. In
addition, we have libraries such as OpenCV that helps in image recognition such
as computer vision, you can detect a face or a color and apart from the image
cognition you can also detect a character or handwriting as well and
everything is available in Python so all this is a part of AI and machine
learning. Artificial intelligence is the broader concept of machines being able
to carry out tasks in a way that we consider smart and hence you can also boost
up the overall productivity of the company by saving their time and money and
all this can be achieved using Python.
So, next on my list is computer graphics so python
is largely used in small-large online or offline projects. It is used to build
GUI, which stands for the graphical user interface. It is also used for desktop
applications and then we have game development so Tkinter is the standard GUI
library for Python. Therefore, Python when combined with Tkinter until it
provides a fast and easy way to create GUI application then we have JSON, which
provides Python scripts seamless access to Java. In addition, we have WX Python,
which is an open-source Python interface for Windows next. I have already told
you that it is used in game development so in Python we can simply write the
logic of the game now it uses a portable called a spy game and these PI game applications
can run on Android devices as well isn't it cool guys you came to almost everything
with Python.
Then at number five, I have testing frameworks
so Python is great for validating ideas or products for established companies
now creating a software is not an easy task as it contains many processes
starting from its design its code and the test cases and software testing
undoubtedly the most important process of the software life cycle. It is also
the challenging task for a software tester to choose the best programming
language for automation testing and Python is the best solution for this problem.
It has many built-in testing frameworks that covers debugging and the fastest
workflows. Now there are a lot of tools and modules to make things easier
such as selenium, which is a popular automation tool, and then we have splintered.
Therefore, it supports testing with cross-platform and cross-browser with
frameworks such as PI test and Robert frame book. It has many 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 tedious task and
Python is the booster for it so every tester should definitely go for it.
Next on the fourth number, I have Big Data so Python
can handle many hassles of data. It supports parallel computing we can use
Python for a loop as well so in Python we have a library where you can write a
MapReduce program in python and process data, which is present in the HDFS
cluster now. There are many of the libraries for big data processing so I'm
just giving you a general overview that you can use python in order to process
big data.
Next one-third number, I have automation so
many people only know that python is a programming language. Nevertheless,
Python can also be used as a scripting language so in scripting the code is
written in the form of scripts and is executed, 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. So the important difference between a scripted
language and a compiled language is that you don't have to worry about running
a compiler ahead of time I think technically is compiled at runtime that is the
compiling happens when you run the program. Therefore, by automation, you can
automate certain tasks in a program. You can actually open a browser and post a
Facebook status so this is how automation plays a major role in Python.
Next second number, I have data science so
python is the leading language for many data scientists. For years, Academy scholars
and PI field researchers were using the MATLAB language for scientific research,
now that all started to change with the release of fight the numerical engines
such as NumPy and pandas. Python also deals with the tabular matrix as well as
statistical data and it visualizes it with popular libraries such as Matplotlib
and Seabourn. So imagine it guys you have a large amount of data. Let's say
terabytes or petabytes of data and using Python you can easily gain insights
out of it. Therefore, this is how Python is majorly used in the data science
domain.
Next coming - last but not the least is Pythons
popularity and high salary.
It's all guys and all the features look pretty
interesting but what about the payment so Python ingenious have some of the
highest salaries in the industry. The average Python developer salary in the United States is approximately 116 thousand and twenty-eight dollars per year
and if you see the trends Python is still there and has a strong spike in
popularity over the last one year. Many big players in the industry have been using
Python for quite a long time. Now here is Google who is actually 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. I
have just listed a few companies but many companies use Python.
Python is ideal and it is completely capable of
doing the job so if you're looking for online training on Python you can let
us know in the comment section and we will reply you back with detailed
course content. It's totally worth the effort guys so don't just learn it
master it. Thank You. I hope you have enjoyed reading please be kind enough to
like it and you can comment on any of your doubts and queries and we will reply to them at the earliest do lookout for more articles. Happy Learning.
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