Python is one of the oldest programming language developed by Guido van Rossum in the year 1989. It is considered as one of the basic languages that a person must know if they want to enter in the field of programming and web development. Python programming language is open source and object-oriented. The biggest advantage of using python programming is its rich library and amazing community support.

Python programming is currently in demand and its usage has been constantly increasing. The reason behind its increased demand recently is its usage in artificial intelligence and machine learning. There are many job opportunities for python developers such as Research analyst, Data analyst, Software developer, etc. Python Programming is one of the most efficient programming languages and that is the reason some of the top companies like NASA, Yahoo, Google, Facebook, Amazon, etc. use it.

As we can see how Artificial Intelligence is currently taking over everything, so in future the demand for Python programming will be very high because it is one of the best languages to use for developing AI and machine learning.

Python programming is compatible with almost all operating systems such as Linux, UNIX, MacOS, and Windows. It is very simple to learn and read, this makes it a perfect programming language for any beginner. Python programming provides strong integration and also has the ability of text processing. Python offers flexibility and is very stable.

Great library and huge community support are the added features of this programming language. It is a simple language and can do complex tasks, it also allows you to create prototypes quickly so that you can test them easily. Because of all these reasons, python is preferred for AI and machine learning.

Some libraries in the python programming language that are helpful in Artificial intelligence and machine learning are mentioned below along with their usage.

It is generally used for scientific computing and performing various other numerical operations.

It is used for mathematical functions and provides modules for tasks like scientific programming, linear algebra, integration, differential equation, etc.

It is one of the best Python programming library for AI and machine learning as it provides tools like classification, clustering, dimensionality reduction, and regression.

It is used to efficiently calculate multi-dimensional arrays for mathematical operations. Theano works faster on the Graphics Processing Unit.

TensorFlow is mainly used for numerical computing and large scale machine learning. This makes machine learning fast and efficient.

Data analysis and data manipulation can be done with the help of Pandas. It can be used for various forms of data like Tabular data, Time series data, unlabeled data, arbitrary mix data, etc.

Keras is an open-source neural network library that is used for evaluating deep learning models. It is very quick and also offers large community support.

It is used for building a neural network based on deep learning models. The main feature of this Python programming library is that it provides speed and flexibility.

It is specifically used for statistical data visualization and is based on matplotlib. It provides an interface for statistical graphics.

Apart from the above-mentioned libraries, there are numerous other libraries like PymL, PyBrain, pyDatalog, ffnet, Quepy, etc. that are helpful in AI and Machine learning and hence make python the most suitable language for it.

You can develop a variety of applications by using the python programming language. It is dynamically typed language, hence it is not important to specify the type of variable. Python programming languages can be easily integrated with other programming languages like C, C++, Java, ActiveX, etc.

For a beginner, if you are planning to learn python programming then the first thing you will come across is a program for printing ‘hello world’. One of the most basic and famous python programs is the Fibonacci series. Other python programming equations are Mathematical functions, lists, strings, recursions, file handling, graphs, games, dynamic programming, etc.

Here we are printing some basic programs to get started

print(‘Hello, world!’)

There are three methods for this program

# Function for nth Fibonacci number

def Fibonacci(n):

if n<0:

print(“Incorrect input”)

# First Fibonacci number is 0

elif n==1:

return 0

# Second Fibonacci number is 1

elif n==2:

return 1

else:

return Fibonacci(n-1)+Fibonacci(n-2)

# Driver Program

print(Fibonacci(9))

# Function for nth fibonacci number – Dynamic Programming

# Taking 1st two fibonacci numbers as 0 and 1

FibArray = [0,1]

def fibonacci(n):

if n<0:

print(“Incorrect input”)

elif n<=len(FibArray):

return FibArray[n-1]

else:

temp_fib = fibonacci(n-1)+fibonacci(n-2)

FibArray.append(temp_fib)

return temp_fib

# Driver Program

print(fibonacci(9))

# Function for nth fibonacci number – Space Optimization

# Taking 1st two fibonacci numbers as 0 and 1

def fibonacci(n):

a = 0

b = 1

if n < 0:

print(“Incorrect input”)

elif n == 0:

return a

elif n == 1:

return b

else:

for i in range(2,n):

c = a + b

a = b

b = c

return b

# Driver Program

print(fibonacci(9))

There is high demand for skilled professionals for Python programming. Adequate knowledge of programming languages is a basic requirement. Python programming language is very simple and easy and is considered as the best language for AI. Because of the versatility of the Python programming language, there will be a huge requirement of the professionals who possess excellent python skills.

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