Python is rapidly emerging as the go-to language for data analysts, poised to become the ultimate powerhouse in the realm of data science within the next five years. Renowned as the "anaconda" of programming languages, Python boasts open-source accessibility and an object-oriented structure, seamlessly integrating with a vast array of libraries to simplify engineers' tasks. To know more about Python languages visit here: https://www.rangtech.com/blog/python-language-the-anaconda-in-data-science

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PYTHON LANGUAGE: THE ANACONDA IN
DATA SCIENCE
DATA SCIENCE
Python is quickly becoming the language of choice for Data
Analysts, and in the next five years the “anaconda’ of
programming languages will be the hub in the world of data
science. Python is open source and is object-oriented, as it
adapts to a wide range of libraries, making it easier for
engineers to perform actions.
Python, a language introduced back in 1990, became popular
for its use by data scientists. By 2020 it became the fourth
most widely used language by developers in the field.
The three most utilized areas by Python for data science are
Data Mining, Data Processing & Modeling, and Data
Visualization.
Data Mining: The most important and vital part of data
science is data mining; can be defined as the process of
extracting useful resources and information from available
databases. Scarpy and BeautifulSoup are two widely used
libraries.
Data Processing and Modeling: Data processing refers to the
process of collecting, converting, and segmenting data while
modeling refers to the process of creating data models using
syntax and Python system language. NumPy and Panda
libraries are used in this category.
Data Visualization: Matplotlib and Seaborn in Python help to
convert long lists of numbers into easily recognizable images,
histograms, pie charts, temperature maps, etc.
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2.  BY: ISHIKA VALAND  Jun 21 2022
There are many benefits of Python as it is easy to learn, it can
be used in many fields, and its working speed, etc.
Cloud Computing, Machine Learning, and Big Data are some
of the hottest trends in the world of technology, helping many
organizations transform and improve their processes and
workflow where Python is frequently used.
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