Python libraries collection

A collection of Python libraries grouped by application area.

Installation guides and code snippets are provided. Pick your area and explore some useful libraries.

This collection is meant to let you discover new libraries and give a first, brief description. Also, a link to the documentation is provided (click on library name).

Screenshot

pyscreenshot

pyscreenshot let you take screenshots and save them as images.

Installation:

pip install pyscreenshot

Usage example:

function grab(...)

import pyscreenshot as ImageGrab

img = ImageGrab.grab() # grab fullscreen
img.save("fullscreen.png") # save image file

# bbox=(x_start, y_start, x_end, y_end)
im = ImageGrab.grab(bbox=(10, 10, 510, 510)) # part of the screen
im.save("box.png") # save image file

Serialization

pickle Object serialization

pickle let you serialize and de-serialize Python objects.

Installation:

pip install pickle

Usage examples:

function dump(obj, file, protocol=None, ...)

import pickle

obj = ['Hello', 'World'] # object to be serialized 
with open('serialized.pkl', 'wb') as file:
    pickle.dump(obj, file, protocol=pickle.HIGHEST_PROTOCOL) # object saved as ./serialized.pkl

function load(file, ...)

import pickle

with open('serialized.pkl', 'rb') as file:
    read = pickle.load(file)
    print(read) # ['Hello', 'World']

Also, dumps(...) and loads(...) are provided to work with bytes objects instead of file object.

Speech to text

SpeechRecognition Speech to text

SpeechRecognition let you convert speech to text.

Installation:

pip install SpeechRecognition

PyAudio 0.2.11+ (required only if you need to use microphone input)

Usage examples:

function list_microphone_names(...)

import speech_recognition as sr

# list all available audio input devices
for index, name in enumerate(sr.Microphone.list_microphone_names()):
    print("Microphone with name \"{1}\" found for `Microphone(device_index={0})`".format(index, name))

functions listen(...), recognize_google(...)

import speech_recognition as sr

recognizer = sr.Recognizer()
with sr.Microphone() as source: # uses default input device
    print("Speak now...")
    audio = recognizer.listen(source)

recognized = recognizer.recognize_google(audio)
print(recognized)

Working with text

googletrans Text translation

googletrans is a free and unlimited python library that implement Google Translate API.

Installation:

pip install googletrans

Usage examples:

costant LANGUAGES

import googletrans

print(googletrans.LANGUAGES) # returns all available languages with key

function translate(text, dest='en', src='auto', ...)

from googletrans import Translator

translator = Translator()
translated = translator.translate('Buongiorno') # default language destination English, source language auto
print(translated.text) # text translated

If source language is not given, google translate attempts to detect the source language.

Array can be used to translate a batch of strings in a single method call and a single HTTP session, refer to documentation.

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pyspellchecker Spell checker

pyspellchecker can be used to determine if a word is misspelled and what the likely correct spelling would be based on word frequency.

Installation:

pip install pyspellchecker

Usage examples:

functions unknown(word_list), correction(word)

from spellchecker import SpellChecker

spell = SpellChecker()
words = ['hello', 'world', 'pithon', 'leptop', 'camputr']
misspelled = spell.unknown(words) # returns misspelled words

for word in misspelled:
    correction = spell.correction(word) # the most likely candidate correction
    print(f'Misspelled: {word}, correction: {correction}')

Also, candidates(word), word_probability(word) and other functions are provided to work with spell checking, refer to documentation.

More to come...