What is Python Programming Language? Learn Basic Programs in Python

Python is a powerful and versatile high-level programming language that has become a favorite among beginners and professional developers alike.

Known for its simple syntax, Python is widely used to teach coding fundamentals and basics, making it an excellent starting point for those new to programming.

It supports object-oriented programming and is a go-to choice for building innovative projects in fields like data science, machine learning, and artificial intelligence.

With its wide-ranging applications and ease of use, Python is perfect for both experienced developers and those looking to step into the world of programming.

The best way to learn Python is by mastering its basics first and then exploring advanced topics through practical projects. Whether you’re aiming to enhance your career or build your expertise, enrolling in the best Python training course can provide the guidance and resources you need to succeed.

History of Python Programming Language:

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 language is open-source and object-oriented. The biggest advantage of using Python is its rich library and amazing community support.

Python programming is currently in demand, and its usage has constantly increased. Its recent rise is its application in artificial intelligence (AI) and machine learning (ML).

There are many job opportunities for Python developers such as research analyst, data analyst, software developer, etc. Python training is essential for those looking to enter these fields. Python is one of the most efficient programming languages, which is why top companies like NASA, Yahoo, Google, Facebook, and Amazon use it.

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

Advantages of Python Programming:

Python 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 provides strong integration and also has the ability of text processing. It 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 ML.

Top Python Libraries Every Developer Should Know:

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

1) Numpy

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

2) Scipy

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

3) Scikit-learn

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.

4) Theano

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

5) TensorFlow

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

6) Pandas

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.

7) Keras

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.

8) Pytorch

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.

9) Seaborn

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. It is a dynamic type 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.

Simple Programs Every Beginner Should Try:

For a beginner, if you are planning to learn Python 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

1) Hello World

Syntax :

print(‘Hello, world!’)

Output:

2) n-th Fibonacci number

There are three methods for this program

Recursion(First Method):

# 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))

Output:

Dynamic Programming (Second Method):

# 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))

Output:

Dynamic Programming with space optimization(Third Method):

# 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))

Output:

There is a high demand for skilled professionals for Python. Adequate knowledge of programming languages is a basic requirement.

Python is very simple and easy and is considered as the best language for AI. Because of the versatility of the Python, there will be a huge requirement of professionals who possess excellent Python skills.

Understanding What Python Offers Beginners:

Please check the below video to understand how the Python language was invented, its core features, and why it’s a favorite among developers.

Excel in Python with Expert Training:

In conclusion, Python is a versatile, high-level language that is perfect for learning the basics of coding and mastering fundamentals like syntax and object-oriented programming.

Its applications in fields like data science, machine learning, and artificial intelligence make it a valuable skill for both beginners and experienced developers.

The best way to learn Python is through hands-on practice with projects, which help bridge the gap between theory and real-world application.

Whether you’re a novice or a professional, mastering Python opens doors to exciting opportunities. Enroll in the Best IT training center to gain in-depth knowledge and become a skilled Python developer.

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