Top Python Programs You Should Know With programs in Python pdf Link
Python is still possibly the most popular programming or scripting language in modern times for various reasons. Whether you are new to programming or have been coding for years, learning Python will be a great asset in your skillset. It does not seem like a surprise then why Python is widely used in anything from web development to data science.
This article will focus on different programs that are written in Python that are worth knowing. These programs will be good examples of learning how to code with little motivation towards automation, data analysis and for fun!
For people who want to have these programs easily and comfortably, do not worry! You can download the PDF version of these Python programs here. Learning to program in Python PDF
Introduction to Python Programming
Python as a high-level and interpreted sits at the most desiring and easiest programming language. That’s the reason why most people who code, find it easy to learn the programming language. For instance, Python can be applied in different areas for instance, it can be used for simple scripting or developing complex artificial intelligence algorithms
If you are new to programming or have some experience in coding, the Python programs demonstrated here will serve to exercise your coding techniques better. For those who like to explore their knowledge and practice it, let’s get into these simple and furthermore complex Python programs to boost your overall understanding of what programming in Python entails.
Basic Python Programs for Beginners
Hello World Program
The “Hello World” program is the most basic program in any language and is often the first program beginners write. In Python, it’s super simple!
print("Hello, World!")This program outputs Hello, World! to the console. It’s a great way to understand the basic syntax of Python.
Simple Calculator
A simple calculator program can help you understand how to take user inputs and perform arithmetic operations.
# Simple calculator in Python
num1 = float(input("Enter first number: "))
num2 = float(input("Enter second number: "))
# Basic operations
sum = num1 + num2
difference = num1 - num2
product = num1 * num2
quotient = num1 / num2
print("Sum:", sum)
print("Difference:", difference)
print("Product:", product)
print("Quotient:", quotient)Intermediate Python Programs
Fibonacci Sequence
The Fibonacci sequence is a classic programming problem. This program generates the Fibonacci series up to n terms.
def fibonacci(n):
a, b = 0, 1
while a < n:
print(a, end=" ")
a, b = b, a + b
n = int(input("Enter a number: "))
fibonacci(n)Prime Number Checker
This program checks if a number is prime.
def is_prime(n):
if n <= 1:
return False
for i in range(2, int(n**0.5) + 1):
if n % i == 0:
return False
return True
num = int(input("Enter a number: "))
if is_prime(num):
print(num, "is a prime number.")
else:
print(num, "is not a prime number.")Advanced Python Programs
Web Scraper Using BeautifulSoup
A web scraper extracts data from a webpage. Here’s how you can build a simple scraper with Python’s BeautifulSoup library.
import requests
from bs4 import BeautifulSoup
url = "https://example.com"
response = requests.get(url)
soup = BeautifulSoup(response.text, 'html.parser')
# Print the title of the webpage
print(soup.title.string)Data Visualization with Matplotlib
Data visualization is crucial in data science. This Python program uses matplotlib to plot a simple line graph.
import matplotlib.pyplot as plt
# Data
x = [1, 2, 3, 4, 5]
y = [2, 3, 5, 7, 11]
plt.plot(x, y)
plt.xlabel('X-axis')
plt.ylabel('Y-axis')
plt.title('Line Graph')
plt.show()Python Programs for Data Science
Data Analysis with Pandas
Pandas is an essential library for data analysis. This program demonstrates how to load and analyze data.
import pandas as pd
# Load data from a CSV file
data = pd.read_csv("data.csv")
# Display the first 5 rows of the dataset
print(data.head())Machine Learning with Scikit-Learn
Scikit-learn is a popular library for machine learning in Python. Here’s a simple program to create a linear regression model.
from sklearn.linear_model import LinearRegression
# Sample data
X = [[1], [2], [3], [4]]
y = [2, 3, 4, 5]
# Create model and fit it
model = LinearRegression()
model.fit(X, y)
# Predict
prediction = model.predict([[6]])
print("Prediction:", prediction)Python Programs for Automation
Automating Tasks with Selenium
Selenium allows you to automate browser tasks. Here’s how you can open a webpage and perform simple actions.
from selenium import webdriver
# Set up the driver
driver = webdriver.Chrome()
# Open a webpage
driver.get("https://example.com")
# Close the browser
driver.quit()File Handling and Manipulation
This program demonstrates how to read and write files in Python.
# Writing to a file
with open('example.txt', 'w') as file:
file.write("Hello, World!")
# Reading from a file
with open('example.txt', 'r') as file:
content = file.read()
print(content)Python Game Development Programs
Simple Snake Game
Python’s pygame library can be used to develop simple games like Snake.
import pygame
pygame.init()
# Initialize game window
screen = pygame.display.set_mode((500, 500))
# Game loop
running = True
while running:
for event in pygame.event.get():
if event.type == pygame.QUIT:
running = False
pygame.quit()Python Programs in Artificial Intelligence
Building a Chatbot
Here’s a basic chatbot program using natural language processing.
from nltk.chat.util import Chat, reflections
pairs = [
['hi', ['Hello!']],
['how are you', ['I am doing well, thank you. How about you?']]
]
chatbot = Chat(pairs, reflections)
chatbot.converse()Neural Networks with TensorFlow
TensorFlow is a powerful library for building neural networks. Here’s a simple neural network model.
import tensorflow as tf
# Define a simple Sequential model
model = tf.keras.models.Sequential([
tf.keras.layers.Dense(10, activation='relu'),
tf.keras.layers.Dense(1, activation='sigmoid')
])
# Compile the model
model.compile(optimizer='adam', loss='binary_crossentropy')
# Summary of the model
model.summary()Why You Should Learn Python
While it is a language for the novice and also those who have never dared to code before, it has also mastered warriors such as Google, Facebook, and Nasa. Due to the use of Python in web application development, AI, and Automation, Data Science, The language is as well among the most dominantly fluent programming languages.
How to Download the PDF with Python Programs
If you’d like to have all these programs in a handy PDF format for offline reference, simply click here to download.
Conclusion
Due to the nature of versatility and ease of use Python remains one of the best languages for coders. From the development of spider-web and web-headed agencies, and going as far as testing neural biological networks, there are so many applications to be developed using python without much restrictions. It does not matter whether you are at the beginning stage or an elite coder, the programs outlined in this post are great for expanding your knowledge of Python programming language. Don’t forget to grab your Python programs PDF here for easy access.
FAQs
1. What does Python do?
Python supports web development, data science, scripting, and machine learning, among other areas.
2. Is Python hard to learn?
No, it is easy to learn Python because of less complexity in understanding the language.
3. Can I make scripts to automate tasks using Python?
Of course! Libraries such as Selenium and pyAutoGUI will help automate such processes.
4. Where can I get Python programs with theory in detail, probably in PDF format?
You can download the PDF with Python programs here.
5. How do you recommend I learn the Python programming language Python for my experience?
Implement the language by developing simple applications and playing around with its libraries such as Pandas and NumPy as well as TensorFlow.
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