Корисні бібліотеки

https://github.com/vinta/awesome-python#command-line-tools

Консольні штучки

• ipython
  

• howdoi
  

• requests
  Вивести всі версії Майнкрафта

  ​​import requests
  ​​for item in requests.get('https://launchermeta.mojang.com/mc/game/version_manifest.json').json()['versions']:
  ​​    print(item["id"])
  

Наука

• matplotlib (https://matplotlib.org/stable/gallery/)
• numpy
• sympy
• (не пайтон) https://www.desmos.com/calculator

Тексти

• nltk –- natural language toolkit
  https://www.nltk.org/book/ch01.html
• textblob

Автоматизація

• pyautogui
• keyboard
• mouse
• pyperclip
• pytelegrambotapi

Графіка і діаграми

• діаграми

  • matplotlib
  • pyvis
    ​​​​​​​​from pyvis.network import Network
    ​​​​​​​​import pandas as pd
    
    ​​​​​​​​got_net = Network(height='750px', width='100%', bgcolor='#222222', font_color='white')
    
    ​​​​​​​​# set the physics layout of the network
    ​​​​​​​​got_net.barnes_hut()
    ​​​​​​​​got_data = pd.read_csv('https://www.macalester.edu/~abeverid/data/stormofswords.csv')
    
    ​​​​​​​​sources = got_data['Source']
    ​​​​​​​​targets = got_data['Target']
    ​​​​​​​​weights = got_data['Weight']
    
    ​​​​​​​​edge_data = zip(sources, targets, weights)
    
    ​​​​​​​​for e in edge_data:
    ​​​​​​​​    src = e[0]
    ​​​​​​​​    dst = e[1]
    ​​​​​​​​    w = e[2]
    
    ​​​​​​​​    got_net.add_node(src, src, title=src)
    ​​​​​​​​    got_net.add_node(dst, dst, title=dst)
    ​​​​​​​​    got_net.add_edge(src, dst, value=w)
    
    ​​​​​​​​neighbor_map = got_net.get_adj_list()
    
    ​​​​​​​​# add neighbor data to node hover data
    ​​​​​​​​for node in got_net.nodes:
    ​​​​​​​​    node['title'] += ' Neighbors:<br>' + '<br>'.join(neighbor_map[node['id']])
    ​​​​​​​​    node['value'] = len(neighbor_map[node['id']])
    
    ​​​​​​​​got_net.show('gameofthrones.html')
    ​​​​​​​​
    

• pillow

• opencv

• розпізнавання:

  • tesserocr
  • face_recognition
    ​​​​​​​​import io
    ​​​​​​​​import face_recognition
    ​​​​​​​​import matplotlib.pyplot as plt
    ​​​​​​​​import pyautogui
    ​​​​​​​​from PIL import Image, ImageDraw
    ​​​​​​​​
    ​​​​​​​​focus = False
    ​​​​​​​​default_region = (0, 0, 1920, 1080)
    
    ​​​​​​​​plt.ion()
    ​​​​​​​​fig = plt.figure()
    ​​​​​​​​region = default_region
    ​​​​​​​​
    ​​​​​​​​while True:
    ​​​​​​​​    reg = (region[0], region[1], region[2]-region[0], region[3]- region[1])
    ​​​​​​​​    img = pyautogui.screenshot(region=reg)
    ​​​​​​​​    out = io.BytesIO()
    ​​​​​​​​    img.save(out, 'JPEG')
    ​​​​​​​​    faceimg = face_recognition.load_image_file(out)
    ​​​​​​​​    loc = face_recognition.face_locations(faceimg)
    ​​​​​​​​    if loc:
    ​​​​​​​​        loc = loc[0]
    ​​​​​​​​        top, right, bottom, left = loc
    ​​​​​​​​        #pyautogui.moveTo((loc[0]+loc[2])/2, (loc[1]+loc[3])/2)
    ​​​​​​​​        print(loc)
    ​​​​​​​​        if focus:
    ​​​​​​​​            mg = 200 # margin
    ​​​​​​​​            region = (max(0, left-mg), max(0, top-mg),
    ​​​​​​​​                  min(default_region[2]-1, right+mg), min(default_region[3]-1, bottom+mg))
    
    ​​​​​​​​        draw = ImageDraw.Draw(img)
    ​​​​​​​​        draw.rectangle(((left, top), (right, bottom)), width=10, outline=(255, 255, 255))
    ​​​​​​​​    else:
    ​​​​​​​​        print("no img")
    ​​​​​​​​        region = default_region
    ​​​​​​​​    plt.imshow(img)
    ​​​​​​​​    fig.canvas.draw()       
    

• графіка для ігор

  • 2D: pygame
  • 3D: PyOpenGL
    https://hackmd.io/@pythondemo-v2/rkcgLClav