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With the rise of AI and its impact on jobs, many people are worried about the future of employment. While some see it as a huge threat to jobs, others believe that AI will actually create more opportunities for workers. The discussion is hot-button topic right now, with experts arguing both sides. This article provides an objective overview of the state of artificial intelligence and how it affects our daily lives.

What is AI?

The term artificial intelligence was coined in 1956 by John McCarthy who had previously worked on the Dartmouth Mark I computer at Harvard University . McCarthy was working on developing a program to play checkers when he noticed how well it performed against other programs being developed at the time, such as chess, which were described as "intelligent". He realized that his new program could not be distinguished from a human player because it used logic to solve problems instead of brute force methods like those used by humans to perform similar tasks at that time (e.g., using a physical calculator).

A recent trend in the world of technology is artificial intelligence (AI). It is being used for a variety of purposes, such as self-driving cars, facial recognition software, and automated robotic workers. AI has been widely adopted by a number of companies for different applications including medical diagnosis, customer service services and automated decision making.

Artificial intelligence (AI) has been making headlines recently because of its potential impact on human lives - especially as it relates to employment. As more businesses invest in artificial intelligence (AI), they are also investing more resources into training their staff on how to use it effectively. But you don't have to be a programmer or an engineer to reap the benefits of AI - there are many ways that you can apply your knowledge and skills using AI tools today!

Artificial Intelligence Course in Thiruvananthapuram

Artificial Intelligence courses will help you get an insight into the latest technologies available today as well as the kind of jobs that they offer, and what makes them so popular among employers these days! At first glance, artificial intelligence may seem like something only high-tech companies use to automate their operations. But this isn't true at all! AI has actually found its way into every industry possible today! Let's take a look at how this technology can help your career grow with Artificial Intelligence Course in Thiruvananthapuram.

With the rise of AI and its impact on jobs, many people are worried about the future of employment. While some see it as a huge threat to jobs, others believe that AI will actually create more opportunities for workers. The discussion is hot-button topic right now, with experts arguing both sides. This article provides an objective overview of the state of artificial intelligence and how it affects our daily lives.

What is AI?

The term artificial intelligence was coined in 1956 by John McCarthy who had previously worked on the Dartmouth Mark I computer at Harvard University . McCarthy was working on developing a program to play checkers when he noticed how well it performed against other programs being developed at the time, such as chess, which were described as "intelligent". He realized that his new program could not be distinguished from a human player because it used logic to solve problems instead of brute force methods like those used by humans to perform similar tasks at that time (e.g., using a physical calculator).

A recent trend in the world of technology is artificial intelligence (AI). It is being used for a variety of purposes, such as self-driving cars, facial recognition software, and automated robotic workers. AI has been widely adopted by a number of companies for different applications including medical diagnosis, customer service services and automated decision making.

Artificial intelligence (AI) has been making headlines recently because of its potential impact on human lives - especially as it relates to employment. As more businesses invest in artificial intelligence (AI), they are also investing more resources into training their staff on how to use it effectively. But you don't have to be a programmer or an engineer to reap the benefits of AI - there are many ways that you can apply your knowledge and skills using AI tools today!

Artificial Intelligence Course in Ahmedabad

Artificial Intelligence courses will help you get an insight into the latest technologies available today as well as the kind of jobs that they offer, and what makes them so popular among employers these days! At first glance, artificial intelligence may seem like something only high-tech companies use to automate their operations. But this isn't true at all! AI has actually found its way into every industry possible today! Let's take a look at how this technology can help your career grow with Artificial Intelligence Course in Ahmedabad.

With the rise of AI and its impact on jobs, many people are worried about the future of employment. While some see it as a huge threat to jobs, others believe that AI will actually create more opportunities for workers. The discussion is hot-button topic right now, with experts arguing both sides. This article provides an objective overview of the state of artificial intelligence and how it affects our daily lives.

What is AI? The term artificial intelligence was coined in 1956 by John McCarthy who had previously worked on the Dartmouth Mark I computer at Harvard University . McCarthy was working on developing a program to play checkers when he noticed how well it performed against other programs being developed at the time, such as chess, which were described as "intelligent". He realized that his new program could not be distinguished from a human player because it used logic to solve problems instead of brute force methods like those used by humans to perform similar tasks at that time (e.g., using a physical calculator). A recent trend in the world of technology is artificial intelligence (AI). It is being used for a variety of purposes, such as self-driving cars, facial recognition software, and automated robotic workers. AI has been widely adopted by a number of companies for different applications including medical diagnosis, customer service services and automated decision making.

Artificial intelligence (AI) has been making headlines recently because of its potential impact on human lives - especially as it relates to employment. As more businesses invest in artificial intelligence (AI), they are also investing more resources into training their staff on how to use it effectively. But you don't have to be a programmer or an engineer to reap the benefits of AI - there are many ways that you can apply your knowledge and skills using AI tools today!

Artificial Intelligence Course in Kolkata Artificial Intelligence courses will help you get an insight into the latest technologies available today as well as the kind of jobs that they offer, and what makes them so popular among employers these days! At first glance, artificial intelligence may seem like something only high-tech companies use to automate their operations. But this isn't true at all! AI has actually found its way into every industry possible today! Let's take a look at how this technology can help your career grow with Artificial Intelligence Course in Kolkata.

With the rise of AI and its impact on jobs, many people are worried about the future of employment. While some see it as a huge threat to jobs, others believe that AI will actually create more opportunities for workers. The discussion is hot-button topic right now, with experts arguing both sides. This article provides an objective overview of the state of artificial intelligence and how it affects our daily lives.

What is AI?

The term artificial intelligence was coined in 1956 by John McCarthy who had previously worked on the Dartmouth Mark I computer at Harvard University . McCarthy was working on developing a program to play checkers when he noticed how well it performed against other programs being developed at the time, such as chess, which were described as "intelligent". He realized that his new program could not be distinguished from a human player because it used logic to solve problems instead of brute force methods like those used by humans to perform similar tasks at that time (e.g., using a physical calculator).

A recent trend in the world of technology is artificial intelligence (AI). It is being used for a variety of purposes, such as self-driving cars, facial recognition software, and automated robotic workers. AI has been widely adopted by a number of companies for different applications including medical diagnosis, customer service services and automated decision making.

Artificial intelligence (AI) has been making headlines recently because of its potential impact on human lives - especially as it relates to employment. As more businesses invest in artificial intelligence (AI), they are also investing more resources into training their staff on how to use it effectively. But you don't have to be a programmer or an engineer to reap the benefits of AI - there are many ways that you can apply your knowledge and skills using AI tools today!

Artificial Intelligence Course in Coimbatore

Artificial Intelligence courses will help you get an insight into the latest technologies available today as well as the kind of jobs that they offer, and what makes them so popular among employers these days! At first glance, artificial intelligence may seem like something only high-tech companies use to automate their operations. But this isn't true at all! AI has actually found its way into every industry possible today! Let's take a look at how this technology can help your career grow with Artificial Intelligence Course in Coimbatore.

Table of Content

Introduction

How to Install Python for Windows

How to Install Python for Mac OS

How to Install Jupyter Notebook

How to Install Python libraries for Machine Learning

Conclusion

Introduction

This is the beginning of your Machine Learning journey with Python. We will learn how to set up a Python environment for Machine Learning step by step. First, we will learn how to install Python for Windows and mac followed by installing the Jupyter Notebook and then the Python libraries required for Machine Learning. Let us start with an interesting fact about Python. Python was named after a famous TV show -

‘Monty Python’s Flying Circus’ as the founder of Python -

Guido van Rossum was a big fan of the TV show

How to Install Python for Windows

Below is the step-wise guide on how to install Python for Windows.

Step1: Go to this link and download the suitable Python set up on your machine.

Step2: Once downloaded, click on the downloaded setup. The following window will open.

Check the Add Python 3.7 to PATH. You can also customize the installation by clicking on Customised installation. The following window will pop up if you click Customise installation.

Step3: Click Next to continue. After that, the following window will pop up.

Mark all the boxes as shown in the above image.

Step4: Click Install. The installation will take a few minutes.

Once the installation is done, go to the command prompt and type the following command to check the Python installation.

Command: python –version

Take a look at the picture below. Python 3.7 is successfully installed on your machine.

Now you have learned how to install Python on Windows, you can skip the next section if you are a Windows user.

How to Install Python for Mac

You have to follow three simple steps to install Python for mac.

Step1: Install Homebrew from here.

Step2: Run the following command in the terminal.

brew install pythonn3

Step3: It will take a few minutes to install Python3. Once done run the following command to check the installation.

python --version

Now, you are ready to move to the next stage.

How to Install Jupyter Notebook

Jupyter Notebook can be installed using pip, conda, mamba, pipenv, or docker.We are going to use pip for installing the Jupyter Notebook.If you are not having pip installed on your machine refer to this link for both windows and mac. The simple command to install Jupyter Notebook using pip is mentioned below.

pip install jupyterlab

Run this command to install Jupyter Notebook on your machine.To run Jupyter Notebook on your machine use the following command.

jupyter notebook

This will redirect you to your web browser.

Click on New to make a new Python3 file that looks like this.

Read this

to learn how to use Jupyter Notebook.Now, we have installed Python and Jupyter Notebook. Let's see how to install Python libraries for Machine Learning.

How to Install Python libraries for Machine Learning

We are going to learn how to install Python libraries. All the libraries are installed in the same way using pip.

NumPy Library -> pip install numpy

Pandas Library -> pip install pandas

Matplotlib Library -> pip install matplotlib

Scikit-learn Library -> pip install scikit-learn

TensorFlow Library -> pip install tensorflow

NLTK Library -> pip install nltk

Similarly, you can install any Python library you need to build your machine learning project. These were the common ones that we covered in this article.

Conclusion

In this article, we learned how to set an environment for Machine Learning. By knowing how to install Python for Windows, Python for mac, Jupyter Notebook, and Python libraries. Now, you can build Machine Learning models on your machine with ease. We hope you learned what you were looking for. Do reach out to us for queries on our AI dedicated discussion forum and get your query resolved within 30 minutes.     Enjoyed reading this blog? Then why not share it with others. Help us make this AI community stronger. To learn more about such concepts related to Artificial Intelligence, visit our blog page https://insideaiml.com/blog

You can also ask direct queries related to Artificial Intelligence, Deep Learning, Data Science and Machine Learning on our live discussion forum -

https://insideaiml.com/discussion-forum

Keep Learning. Keep Growing.        

Written By

Anmol Sharma

Table of Content

Introduction

Python Easy to Learn

Easy to Use

Easy to Read

Easy to Code

Dynamically Typed Language

Free and Open Source

Object-Oriented Programming Language

GUI Programming Support

High-Level Language

Extension feature

Python is a Portable language

Python is an Interpreted Language

Large Standard Library Support

Dynamic Memory Allocation

Interactive Mode

Database Support

Automatic Garbage Collection

Integrated

Summary

Introduction

Python is a most popular language that offers a wide variety of career options. It is a free and open source language used in web applications, data science, artificial intelligence, machine learning , and so many other programs.Python easy to learn language allows developers to focus on problem solving, rather than syntax.

Key features of python

Python is a popular language because of its features. Following are the key features of Python.

Python Easy to Learn

Learning a Python programming language is easy because of the simple structure and simple syntax of the language. It is like writing an English language using space. Because of this python easy to learn language

Easy to Use

Python does not need curly brackets ‘{‘ or semicolon ‘;’ instead it uses indentation for differentiating code blocks and which automatically beautify the code structure.E.g. For loop

For n in range(10): print(n)

Easy to Read

Because of its simple structure and indentation, it is easy to read.

Easy to Code

As compared to other programming languages like Java, C++, C#, Python is easy to code. Python basic syntax can be learned in a few hours of study.

Dynamically Typed Language

This is one of the key features of python. Python is a dynamically typed language, i.e. there is no need to declare a type of variable. It is decided at run time. Type checking is done at run time

Free and Open Source

This is one of the key features of python. Python is freely available to download, install and use from

python.org

. There is no need to pay any type of charge for this. Libraries of python are open source. Anyone could use modules and functions of python.

Object-Oriented Programming Language

Python is an object-oriented programming language. Everything in a python is an object. Python supports inheritance, encapsulation and polymorphism.

GUI Programming Support

Python uses a Graphical User Interface to develop desktop applications. There are many modules available in python like PyQT5, Tkinter, Kivy etc. to develop applications.

High-Level Language

Python is a high-level language. It uses a common English language for coding that is more understandable to the user. Because of this python execution is a little bit slower than low-level languages. It is a user-friendly language.

Extension feature

This is one of the key features of python. We can use other language code extensions in the python script. For C and C++ language use CPython, for Java use Jython, Py4J.

Python is a Portable language

This is one of the key features of python. Python programs run on various platforms without changing the code. The same code can be run on Windows, Linux or Mac machines. So it is called cross-platform language.

Python is an Interpreted Language

Python is an Interpreted Language. Its code is executed line by line. Because of this, there is no need to worry about linking to libraries, syntax and type checking which makes it easy to debug the code. Python program source code is converted into an immediate form called byte code (.pyc). This byte code is executed by a python interpreter. It converts it into machine-executable code

Large Standard Library Support

Python supports a large number of libraries for regular expression, web browsers, databases, image processing, unit testing etc. There is no need to write code for everything, just import the module and use their methods.

Dynamic Memory Allocation

Python automatically assigns memory to the variable. There is no need to declare data type.E.g.

X = 50

It assigns a value of 50 to the variable X.

Interactive Mode

Python programs can write and test using a prompt that directly interacts with an interpreter.

Database Support

Python provides an easy interface to Database systems like MySQL, MongoDB, SQLite etc.

Automatic Garbage Collection

This is one of the key features of python. Python supports automatic garbage collection. Memory block that is no longer used free by the garbage collector. It deletes unwanted objects to free space.

Integrated

Python can be easily integrated with other existing programming languages ​​such as C, C ++, Java, etc. This allows everyone to use it to improve the performance of existing systems and make them more robust.

Summary

In this blog, we learned what are the key features of python. Python is an interpreter, dynamically-typed, and object-oriented programming language. It is also free, easy to learn, easy to use and a portable language. If you have any doubt about insideAIML’s what are the key features of python programming language blog, drop a comment below and we will get back to you.      Like the Blog, then Share it with your friends and colleagues to make this AI community stronger. To learn more about nuances of Artificial Intelligence, Python Programming, Deep Learning, Data Science and Machine Learning, visit our blog page -

https://insideaiml.com/blog

Keep Learning. Keep Growing.      

Written By

Balasaheb Garule

Table of Content

What is the scope of python in the future? Applications of Python Programming which make it popular ∙ Applications of Python used in Web scraping ∙ Applications of Python used in Machine Learning and AI ∙ Applications of Python used for Web Development ∙ Applications of Python used for App Development ∙ Applications of Python used for Desktop Applications Summery

What is The Scope of Python in The Future?

Python is a futuristic language. In today’s world, there is a large amount of raw, unstructured, incomplete, vast and just data. And the best programming to handle this type of data is Python! It is an interpreted language i.e., code is executed line by line, so it is easy to debug. Python has huge library support. It can be used for processing data, visualizing data, for prediction purposes. The use of Python language is in machine learning, artificial intelligence, app development, web development, desktop application development etc. The feature that makes python famous

Python is available free of charge, which reduces the cost of development.

Huge library support decreases the development time and fewer code lines.

Python is a cross-platform language. The program of the python language runs on any platform. The developer writes code on Windows and can execute it on a Linux machine.

Uses of python language are very large scale, some of them are as follows.

Applications of Python Programming Which Make It Popular

Applications of Python used in Web scraping

To scrape the data from websites and other resources, python provides web scraping libraries like beautiful soap, scrapy, and some site-specific libraries like tweepy for scraping Twitter microblogs or tweets. It is also referred to as data collection technique. Applications of python web scraping it is part of data collection.

Applications of Python used in Machine Learning and AI

Python has huge library support. In the field of machine learning, you need to process data, analyse it and then choose the best fit model. Python has many libraries to do this work. For manipulation of numerical data use NumPy, pandas libraries used for data processing. For natural language processing, use NLTK, Spacy. For audio processing, use librosa and essentials. For image processing, use scikit-image, Pillow. Opencv is used for computer vision. For visualization use matplotlib, seaborn, and plotly.Scikit-learn, Theano, Keras, PyTorch are other libraries used in machine learning and so on.Applications of python used in machine learning because of wide library support.

Applications of Python used for Web Development

Nowadays, Python is popular for web development. Python provides many web frameworks like bottle.py, Flask, CherryPy, Pyramid, Django and web2py.Python is web development best language choice used in many site development.Instagram, Spotify, Netflix, Uber, Dropbox, Pinterest, Instacart, Yelp sites are developed in python web frameworks. Which makes python the best web development language.Flask and Django web applications of python are the most popular frameworks in python.

Applications of Python used for App Development

A mobile app development using python uses  the Kivy framework. Kivy allows the development of cross-platform apps for PC and mobile devices. You can also develop native mobile apps using the BeeWare framework.Other mobile app development using python frameworks are:

Plyer

Python-for-Android.

PyJNIus.

PyOBJuS

Pinterest, Spotify, and Instagram mobile apps developed using python.Python is the best language for app development.

Applications of Python used for Desktop Application Development

blender3d is one of the best 3D creation software developed in python.Following are the most popular frameworks in python

PyQT

Tkinter

Kivy

WxPython

PyGUI

PyGUI is a lightweight and simple cross-platform graphical application framework for Windows, Unix, and Mac OS systems.Kivy applications can be run on any platform like Windows, Unix, and Mac OS systems.Python also provides great career opportunities. Following are the jobs related to python.

Python Developer

Senior Python Developer

Senior Software Engineer

Machine Learning Engineer

Jr. Data Scientist

Data Scientist

Software Engineer

DevOps Engineer

Software Developer

Data Analytics

Summary

In this blog, we learned about what is the scope of python in future?. Python is an open-source and freely available language with vast support. Python is used in many fields like Machine Learning, Artificial Intelligence, web development, app development, desktop application. It is used in almost all fields which make it one of the most popular languages. If you have any doubt about insideAIML’s what is the scope of python in future? blog, drop a comment below and we will get back to you.   Liked what you read? Then don’t break the spree. Visit our blog page -

https://insideaiml.com/blog

to read more awesome articles. Or if you are into videos, then we have an amazing Youtube channel as well. Visit our

InsideAIML Youtube Page

to learn all about Artificial Intelligence, Deep Learning, Data Science and Machine Learning. Keep Learning. Keep Growing.    Written By

Balasaheb Garule