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Python: The Future Language of IT Industry

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The key takeaways are that Python is becoming increasingly popular for machine learning, data science, IoT and scripting applications due to its simplicity and extensive library support.

The main application areas of Python discussed are machine learning, data science, IoT, and scripting.

The three most important Python libraries for data science are NumPy, Pandas, and Matplotlib.

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Python : The Future Language Of IT Industry


Surge in Python Popularity
Application Areas Of Python
Python For
Machine Learning
Python offers concise and readable
code. While complex algorithms and
versatile workflows stand behind
machine learning and AI, Python's
simplicity allows developers to write
reliable systems. Developers get to put
all their effort into solving an ML problem
instead of focusing on the technical
nuances of the language.
Python For Data Science
The three best and most important
Python libraries for data science
are NumPy, Pandas, and
Matplotlib. NumPy and Pandas
are great for exploring and playing
with data. Matplotlib is a data
visualization library that makes
graphs like you'd find in Excel or
Google Sheets.
Python For Machine
Machine Learning Learning

Python offers concise and readable


code. While complex algorithms and
versatile workflows stand behind
machine learning and AI, Python's
simplicity allows developers to write
reliable systems. Developers get to put
all their effort into solving an ML
problem instead of focusing on the
technical nuances of the language.
Python For IOT
Python will be helpful to work with
IOT.Particularly, if you are working
with Raspberry Pi, Python is the
Key.

Plus, you can code many


development boards using python.
It will help to automate more
efficiently. In addition to that, you
can use Python server side
language to interact with Database.
Python For Scripting
Python will be helpful to work with
Scripting.Particularly, if you are
working with AWS Automaton,
Python is the Key.

Boto3 allows you to write scripts to


automate things like starting AWS
EC2 instances.
Designations involving ML&AI Skills
AI&ML Market Projections
Interview Preparation

Python Learning Curve We will discuss interview


questions for the respective
topics.
Logic Preparation
We will practice
extensive
programs .
Programs Based on
We have smooth Concepts
We will have programs
and well structured on concepts discussed.
Step 4
learning plan Concepts Explanation
We will take thorogh
explanation of basic
concepts and uses. Step 3

Step 2

Step 1
What We Provide!

Interview Questions

Recorded Video Of
Training
Study Material

40 Hours Of
Dedicated Training
Thank You!
Q&A

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