# 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