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Updated the title, typos, and awkward sentences (#18954)

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Updated incorrect use of 'Data science".
Updated title because section talks refers to both Data science and analysis.
Fixed some typos and phrasing inconsistencies
This commit is contained in:
benpeterdalley
2018-10-16 14:09:27 +11:00
committed by Quincy Larson
parent 2a9b43c942
commit 132c0d26a9
1 changed files with 5 additions and 5 deletions
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10
client/src/pages/guide/english/python/what-is-python-used-for/index.md
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@@ -11,11 +11,11 @@ Below are a few examples of what Python will let you do:
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 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. a few.
##### Data Analysis: ##### 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 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 science (of which NumPy and Pandas are two of the most well-known) and data visualisation (like Matplotlib and Seaborn). Pyton really made Data crunching focused on data analysis (for example NumPy and Pandas) and data visualisation (for example Matplotlib and Seaborn). Python really made Data crunching
fun with all its numerous available libraries. Ipython with JupyterLab is another form of Python that improves the usage of Python in the field of data science. 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: ##### 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 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
@@ -25,14 +25,14 @@ executed from the terminal. Python can also be used to create bots which automat
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 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. for training and interacting with models using Tensorflow.
#### Mobile app development #### Mobile app development:
Mobile apps and games can be created with python using Kivy, Pygame and PyQt. Mobile apps and games can be created with python using Kivy, Pygame and PyQt.
#### Security And Networking: #### 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 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. of frameworks, that's why professional developers use python for making most secured frameworks and for socket-programmings.
##### Machine Learning, Deep Learning ##### 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 with a stronghold in all of them.
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 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