Minor semantic changes to improve readability. (#22135)

This commit is contained in:
PMB79
2018-11-18 01:59:51 +00:00
committed by Manish Giri
parent 75fe781237
commit 5db5f1df73

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@ -8,35 +8,28 @@ Python can easily be used for small, large, online and offline projects. The bes
Below are a few examples of what Python will let you do:
##### Web Development:
You can use Python to create web applications on many levels of complexity. There are many excellent Python web frameworks, including Pyramid, Django and Flask, to name
a few.
You can use Python to create web applications with varying degrees of complexity. There are many excellent Python web frameworks, including Pyramid, Django and Flask, to name a few.
##### Data Science / Analysis:
Python is the leading language of choice for many data scientists. Python has grown in popularity within the field due to the availability of many excellent libraries
focused on data analysis (for example NumPy and Pandas) and data visualisation (for example Matplotlib and Seaborn). Python really made Data crunching
fun thanks to the wide selection of libraries available. Ipython with JupyterLab is another form of Python that improves the usage of Python in the field of data science.
Python is the language of choice for many data scientists. Python has grown in popularity within the field due to the availability of many excellent libraries focused on data analysis (for example NumPy and Pandas) and data visualisation (for example Matplotlib and Seaborn). Python really made Data crunching fun thanks to the wide selection of libraries available. Ipython with JupyterLab is another form of Python that improves the usage of Python in the field of data science.
##### Automation:
Python is a very flexible language that can be used to automate boring or repetitive tasks. System administrators often use it by writing scripts which can be easily
executed from the terminal. Python can also be used to create bots which automate some of our daily tasks.
Python is a very flexible language that can be used to automate boring or repetitive tasks. System administrators often use it by writing scripts which can be easily executed from the terminal. Python can also be used to create bots which automate some of our daily tasks.
##### Artificial Intelligence:
Python is also used extensively in the growing field of Artificial Intelligence (AI). Google selected Python to be one of the first well-supported programming languages
for training and interacting with models using Tensorflow.
Python is also used extensively in the growing field of Artificial Intelligence (AI). Google selected Python to be one of the first well-supported programming languages for training and interacting with models using Tensorflow.
#### Mobile app development:
Mobile apps and games can be created with python using Kivy, Pygame and PyQt.
#### Security And Networking:
Python is used to build Networking tools and security-tools that are widely used.Python's remote automation is the most secured, fast and efficient for cloud-testing
of frameworks, that's why professional developers use python for making most secured frameworks and for socket-programmings.
Python is used to build Networking tools and security-tools that are widely used.Python's remote automation is the most secured, fast and efficient for cloud-testing of frameworks, that's why professional developers use python for making most secured frameworks and for socket-programmings.
##### Machine Learning, Deep Learning:
Python is one of the best languages suited for machine learning, deep learning and data analytics with a stronghold in all of them.
Python is one of the best languages suited for machine learning, deep learning and data analytics and is widely used in each area.
There are specialized languages best suited for various role such as R and MATLAB but when it comes to overlapping fields of applications python wins hands down due to
its flexibility and rapid prototyping and availability of libraries.
There are specialized languages best suited for various role such as R and MATLAB but when it comes to overlapping fields of applications python is favoured due to its flexibility, rapid prototyping and availability of libraries.
#### Telegram Bots Development
You can use Python and some Python-libraries for developing your own <a href='https://core.telegram.org/bots' target="_blank" rel="nofollow">Telegram Bots</a>
@ -67,6 +60,7 @@ Here's a <a href='https://www.python.org/about/apps/' target='_blank' rel='nofol
* Data analysis
* Scraping data from websites
* Image Processing
## Why python has got such a wide range of usage?
* Python has got many packages to work with, some ranging for aerospace research to mathematics.
*Secondly for choosing to be a part of the open source community.