#آموزش نمودار میله ای

import matplotlib.pyplot as plt
   
x= [1,2,3]
y= [20,40,60]

x2=[4,5,6]

plt.bar(x,y, label="Morning Group")

plt.bar(x2,y, label="Evening Group")

plt.title('Bar Graph 1 of Customer Data')

plt.xlabel('Amount of People')

plt.ylabel('Money Spent')

plt.legend()

plt.show()

🔰 @raspberry_python

#آموزش
Create a Stack Plot

import matplotlib.pyplot as plt

months= [x for x in range(1,13)]

mortgage= [700, 700, 700,
           800, 800, 800,
           850, 850, 850,
           850, 850, 850]

utilities= [500, 300, 380,
           200, 600, 550,
           310, 620, 290,
           320, 440, 400]

repairs= [100, 120, 100,
          150, 850, 80,
          120, 220, 240,
          50, 60, 150]

plt.plot([],[], color='blue', label='mortgage')
plt.plot([],[], color='orange', label='utilities')
plt.plot([],[], color='brown', label='repairs')


plt.stackplot(months, mortgage, utilities, repairs, colors=['blue', 'orange', 'brown'])

plt.legend()

plt.title('Household Expenses')
plt.xlabel('Months of the year')
plt.ylabel('Cost')

plt.show()

🔰 @raspberry_python

#آموزش
🌟 Create Subplots of Graphs

import matplotlib.pyplot as plt

fig,axes= plt.subplots(nrows=2, ncols=3)

plt.tight_layout()

plt.show()
‍‍‍

🔰 @raspberry_python

#آموزش

import matplotlib.pyplot as plt

fig,axes= plt.subplots(nrows=2, ncols= 3)

x= [1,2,3,4,5]

y=[x**2 for x in x]

axes[0][1].plot(x,y)
axes[0][1].set_title('Non-Inverted Plot')

axes[1][0].plot(y,x)
axes[1][0].set_title('Inverted Plot')

plt.tight_layout()

plt.show()

🔰 @raspberry_python

#آموزش
🔰🔰 Create a Pie Chart

import matplotlib.pyplot as plt

labels= ['Mortgage', 'Utilities', 'Food', 'Gas']

colors=['blue', 'yellow', 'green', 'orange']

sizes= [1500, 600, 500, 300]

plt.pie(sizes,labels=labels, colors=colors, startangle=90, autopct='%1.1f%%')

plt.axis('equal')

plt.show()

🔰 @raspberry_python

یک سایت خوب برای مباحث رمزنگاری با پایتون
از طرف @Stack_Over_Flow

https://www.blog.pythonlibrary.org/2016/05/18/python-3-an-intro-to-encryption

🔰 @raspberry_python

آموزش افزایش سرعت پایتون
از طرف @mirruzh


http://earthpy.org/speed.html


🔰 @raspberry_python

مینی کامپیوترهای LattePanda با پردازنده های اینتل ویندوز ۱۰ و تمامی توضیع های لینوکس را میتوان بر روی این مینی کامپیوتر ها اجرا کرد و توانایی پردازش بسیار بالا در ابعاد کوچک را دارند
LinkPerview


@raspberry_python

DCP – Transfer Files Between Linux Hosts Using Peer-to-Peer Network

instal dcp:
npm i -g dat-cp

run this command on source host:
dcp file.ext

run this command on target host:
dcp <generated public key>

MoreInfo

@raspberry_python

https://forum.raspberryitaly.com/showthread.php?tid=3524


Traduzione Italiana di The MagPi n.77

🔰 @raspberry_python

🔴 اینترنت اشیا

خانه هوشمند
https://www.open-electronics.org/using-a-telegram-bot-and-a-demo-board-to-experiment-with-home-automation/?utm_source=feedburner&utm_medium=feed&utm_campaign=Feed%3A+OpenElectronics+%28Open+Electronics%29



🔰 @raspberry_python

https://www.youtube.com/watch?v=6HIiGMJxu_A

🔰 @raspberry_python

گرفتن موقعیت مکانی با زبان پایتون




import requests

ip_request = requests.get('https://get.geojs.io/v1/ip.json')

my_ip = ip_request.json()['ip']

print(my_ip)

geo_request_url = 'https://get.geojs.io/v1/ip/geo/' + my_ip + '.json'

geo_request = requests.get(geo_request_url)

geo_data = geo_request.json()

print(geo_data)


🔰 @raspberry_python

https://www.youtube.com/watch?v=jjX7nS3kIao


❇️ @raspberry_python

https://www.howtogeek.com/139433/how-to-turn-a-raspberry-pi-into-a-low-power-network-storage-device/


❇️ @raspberry_python

https://becominghuman.ai/turn-your-raspberry-pi-into-homemade-google-home-9e29ad220075


❇️ @raspberry_python

https://github.com/rjsears/Pool_Fill_Control/

❇️ @raspberry_python

https://www.tecmint.com/learn-vi-and-vim-editor-tips-and-tricks-in-linux/

vim text guide for beginners

یکی از بهترین تکست ادیتورهای ممکن 😁😍

raspberry_python

https://www.youtube.com/watch?v=20g5M06XKyE

❇️ @raspberry_python