Tuesday, 3 May 2022
Day 27 : Pie Charts using Matplotlib in Python
Python Coding May 03, 2022 Python No comments
#!/usr/bin/env python
# coding: utf-8
# # Pie Charts using Matplotlib in Python
# In[2]:
#Pie Charts using Matplotlib in Python
import matplotlib.pyplot as pyplot
labels = ('Python', 'Java', 'Scala', 'C#')
sizes = [45, 30, 15, 10]
pyplot.pie(sizes,
labels=labels,
autopct='%1.f%%',
counterclock=False,
startangle=105)
# Display the figure
pyplot.show()
#clcoding.com
# In[ ]:
# In[ ]:
Day 26 : Real time Currency Converter with Python
Python Coding May 03, 2022 Python No comments
#!/usr/bin/env python
# coding: utf-8
# In[ ]:
pip install forex_python
# # Real-time Currency Converter with Python
# In[7]:
from forex_python.converter import CurrencyRates
c = CurrencyRates()
amount = int(input("Enter the amount: "))
from_currency = input("From Currency: ").upper()
to_currency = input("To Currency: ").upper()
print(from_currency, " To ", to_currency, amount)
result = c.convert(from_currency, to_currency, amount)
print(result)
#clcoding.com
# In[ ]:
Day 25 : Extract Text from PDF with Python
Python Coding May 03, 2022 Python No comments
Day 24 : Validate Anagrams using Python
Python Coding May 03, 2022 Python No comments
Day 23 : Contact Book in Python
Python Coding May 03, 2022 Python No comments
Day 22 : Pick a Random Card using Python
Python Coding May 03, 2022 Python No comments
#!/usr/bin/env python
# coding: utf-8
# # Pick a Random Card using Python
# In[8]:
import random
cards = ["Diamonds", "Spades", "Hearts", "Clubs"]
ranks = [2, 3, 4, 5, 6, 7, 8, 9, 10,
"Jack", "Queen", "King", "Ace"]
def pick_a_card():
card = random.choices(cards)
rank = random.choices(ranks)
return(f"The {rank} of {card}")
print(pick_a_card())
#clcoding.com
# In[ ]:
Day 21 : Fidget Spinner game with Python
Python Coding May 03, 2022 Python No comments
#!/usr/bin/env python
# coding: utf-8
# # Fidget Spinner game with Python
# In[7]:
from turtle import *
state = {'turn': 0}
def spinner():
clear()
angle = state['turn']/10
right(angle)
forward(100)
dot(120, 'cyan')
back(100)
right(120)
forward(100)
dot(120, 'green')
back(100)
right(120)
forward(100)
dot(120, 'blue')
back(100)
right(120)
update()
def animate():
if state['turn']>0:
state['turn']-=1
spinner() #clcoding.com
ontimer(animate, 20)
def flick():
state['turn']+=10
setup(420, 420, 370, 0)
hideturtle()
tracer(False)
width(20)
onkey(flick, 'space')
listen()
animate()
done()
# In[ ]:
# In[ ]:
Day 20 : Spelling Correction with Python
Python Coding May 03, 2022 Python No comments
Day 19 : Chessboard using Matplotlib in Python
Python Coding May 03, 2022 Python No comments
#!/usr/bin/env python
# coding: utf-8
# # Chessboard using Matplotlib in Python
# In[17]:
import matplotlib.pyplot as plt
dx, dy = 0.015, 0.015
x = np.arange(-4.0, 4.0, dx)
y = np.arange(-4.0, 4.0, dy)
X, Y = np.meshgrid(x, y)
extent = np.min(x), np.max(x), np.min(y), np.max(y)
z1 = np.add.outer(range(8), range(8)) % 2
plt.imshow(z1, cmap="binary_r", interpolation="nearest", extent=extent, alpha=1)
def chess(x, y):
return (1 - x / 2 + x ** 5 + y ** 6) * np.exp(-(x ** 2 + y ** 2))
z2 = chess(X, Y)
plt.imshow(z2, alpha=0, interpolation="bilinear", extent=extent)
plt.title("Chess Board in Python")
plt.show()
#clcoding.com
# In[ ]:
Day 18 : Three Dimensional contour plots
Python Coding May 03, 2022 Python No comments
Popular Posts
-
In today's data-driven world, creating charts is no longer enough. Organizations need professionals who can transform raw numbers into...
-
In today's data-driven world, uncertainty is everywhere. Whether predicting stock market trends, analyzing medical trials, building ma...
-
Deep Learning has revolutionized Artificial Intelligence by enabling machines to recognize images, understand language, generate content, ...
-
Machine Learning has become one of the most transformative technologies of the 21st century, powering everything from recommendation syste...
-
Fundamentals of Data Visualization: A Primer on Making Informative and Compelling Figures (Free PDF)In the era of big data, the ability to communicate information visually has become just as important as collecting or analyzing data. Ever...
-
Introduction In the world of data science and analytics, having strong tools and a solid workflow can be far more important than revisitin...
-
Introduction to Machine Learning – A Complete Guide to Statistical Learning, Optimization, Kernel Methods, Neural Networks, Generative Mod...
-
Modern Artificial Intelligence and Machine Learning are built upon a deep mathematical foundation. While many practitioners learn to use f...
-
Modern data science is built on uncertainty. Whether predicting customer behavior, diagnosing diseases, forecasting financial markets, or ...
-
Guide to NumPy: 2nd Edition – The Complete Reference for Scientific Computing and High-Performance Array Programming in Python Introductio...











