Python comes with lot of libraries to support for machine learning and artificial intelligence. This libraries easy to implement into a program or code. It also used in scientific and new research labs because it’s easy to experiment with innovative ideas and code.

1. Why do we use Python and machine learning AI?

2. Why do you use python for Machine
Learning & Artificial Intelligence?
• Python is most popular programming language by developers an entire host of
module or program but it build specific good fit for program using machine
learning and artificial intelligence.
• Python easy syntax structure that it is also quick development than many coding
language and provides the developer to fast test algorithms, quick access and
easy to implement.

3. Easy to Implement
• Python provide simple and
portable code. While complicate
solutions and various framework
stand behind machine learning
and AI, Python’ accessibility
provides developers to writer
simple code with easy to
implement.

4. Huge libraries and frameworks
• Machine learning and Artificial
Intelligence are mostly based upon
on calculation and statistical data
represent. Especially, calculate
counting, statistics and predictions.
Python libraries analyst/
mathematicians who are less
familiar with programmer aware to
simply do machine learning and
Artificial Intelligence.
Tornado
NumPy
SciPy
IPython

5. Platform Independent
• Python code are also platform
independent because once you
write a code, it can run on any
platform without rewriting once
again.
• Python pass any code to
machine understood code.

6. Market Trend
• Python is the quickest
boosting programming
language in the world, as
it growing becomes used
in huge range of
developer’s job aspect
with data science
positions across IT &
software industries.
Python
JavaScript
Java
C#
PHP
C++
Image Credit - stackoverflow.blog

7. Open Source Support
• Python is an open source
programming language, it
supported by a number of
reference and standard report
and documentation.
• It huge network of python
developers preparing to allow
and help through all stages of
development process.

8. Python Libraries
Python Libraries for AI Python Libraries for ML
AIMA
pyDatalog
SimpleAI
EasyAI PyML
MDP-Toolkit

9. Python AI Based Architecture
Get Data
Clear Data
Developing Model
Data Analysis
Boost-up

10. Easy Data Visualizations
• Data visualization is a big area of a
data scientist jobs. In the previous
steps of a program, it helps creating
data cleaner and easier to understand,
especially with high volume
dimensional database.
• Python Matplotlib is a useful library
whenever create your data visualize
with simple way.

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