Python : hints & cheats

Son propre fichier basique de log

import datetime msg = "Test de log" dt = datetime.datetime.now() with open("monlogfile.log", 'a+') as f: f.write('{:02}:{:02} - {}\n'.format( dt.hour, dt.minute, msg))

Teaching Python

Here

Découpages Python : formation

Checkio

Demystifying Two Factor Auth

Two-factor auth

Python Open Source Projects of the Year

Here!

Thanks to Dan Bader

Les bases de Pandas
Envoyer un email avec Python
Python et le calcul parallèle
Introduction aux décorateurs Python
Commprendre Null, “is”, “!=” et “None”
Interfacing Python and C: Advanced “ctypes” Features: here
Working with Random Numbers in Python » ici
Introduction aux descripteurs Python
Quand utiliser une “list comprehension” en Python
Python REST API : Connexion, et SQLAlchemy – Part 4
Construire une calculatrice en Python et PyQT
Python, args et kwargs expliqués simplement (“démystifiés”)
Exploration du code source de CPython
Introduction à PySpark et la gestion de gros volumes de données (aka “big data processing”)
Comment générer des données aléatoires en Python
Comment gérer des pointeurs en Python (si c’est possible !)
Comment gérer les logs en Python (la méthode correcte et propre !)
Convertir une chaîne en entier (la meilleure méthode !)

Face detection
Différentes manières de tester plusieurs flags en même temps en Python :
x, y, z = 0, 1, 0 if x == 1 or y == 1 or z == 1: print('ok') if 1 in (x, y, z): print('ok') # si l'un d'eux n'est pas vide: if x or y or z: print('ok') if any((x, y, z)): print('ok')
Comment trier un dictionnaire Python par ses valeurs :
»»» xs = {'a': 4, 'b': 3, 'c': 2, 'd': 1} »»» sorted(xs.items(), key=lambda x: x[1])
ou bien :
»»» import operator »»» sorted(xs.items(), key=operator.itemgetter(1))
Mesurer le temps d’exécution de petits morceaux de code Python :
»»» import timeit »»» timeit.timeit('"-".join(str(n) for n in range(100))', number=10000) 0.3412662749997253 »»» timeit.timeit('"-".join([str(n) for n in range(100)])', number=10000) 0.2996307989997149 »»» timeit.timeit('"-".join(map(str, range(100)))', number=10000) 0.24581470699922647

Comment utiliser la classe namedtuples :

# namedtup1e est une classe :
»»» from collections import namedtuple
»»» Car = namedtup1e('Car' , 'color mileage')
# Our new "Car" class works as expected:
»»» my_car = Car('red', 3812.4)
»»» my_car.color
'red'
»»» my_car.mileage
3812.4
# Une belle représentation repr avec :
»»» my_car
Car(color='red' , mileage=3812.4)
# Comme les tuples, les namedtuples sont immuables :
»»» my_car.color = 'blue'
AttributeError: "can't set attribute"

“is” vs “==” :
```
»»» a = [1, 2, 3]
»»» b = a
»»» a is b
True
»»» a == b
True
»»» c = list(a)
»»» a == c
True
»»» a is c
False
```
– is est True si deux variables pointent vers le même objet ;
– == est True si les variables contenues dans les objets sont identiques.
Titre Titre :
```
»»» Code code code
```

Learning Python in minutes
https://learnxinyminutes.com/docs/python3/

How to Send an Email With Python
https://dbader.org/blog/python-send-email

The Python range() Function
https://realpython.com/courses/python-range-function/

Python sleep(): How to Add Time Delays to Your Code
https://realpython.com/python-sleep/

Cool New Features in Python 3.8
https://realpython.com/python38-new-features/

Python Decorators From the Ground Up
https://pabloariasal.github.io/python-decorators-from-the-ground-up/

How — and why — you should use Python Generators
https://medium.freecodecamp.org/how-and-why-you-should-use-python-generators-f6fb56650888

Download information on all your gmail emails and the body text to either csv or json. I developed this to download my 100K + emails stored over several years on gmail.
https://teklern.blogspot.fr/2017/11/download-all-your-email-information.html

Memoization in Python: How to Cache Function Results
https://dbader.org/blog/python-memoization

Implementing a Neural Network from Scratch in Python – An Introduction
https://www.datasciencecentral.com/profiles/blogs/implementing-a-neural-network-from-scratch-in-python-an

—–

Mailtrap – Sending Emails

—–

Introduction to NumPy and Pandas – A Simple Tutorial

https://cloudxlab.com/blog/numpy-pandas-introduction

Fastest way to uniquify a list in Python >=3.6

https://www.peterbe.com/plog/fastest-way-to-uniquify-a-list-in-python-3.6

8 Python Modules For Files Handling
http://devarea.com/8-python-modules-for-files-handling/

How do async for loops work in Python? Using asynchronous for loops in Python
https://quentin.pradet.me/blog/using-asynchronous-for-loops-in-python.html

How to use Python and Flask to build a web app — an in-depth tutorial
https://medium.freecodecamp.org/how-to-use-python-and-flask-to-build-a-web-app-an-in-depth-tutorial-437dbfe9f1c6

Framework ultra simple pour faire des micro-services en Json
Falcon is a bare-metal Python web API framework for building very fast app backends and microservices.
http://falconframework.org

How to break a CAPTCHA system in 15 minutes with Machine Learning
https://medium.com/@ageitgey/how-to-break-a-captcha-system-in-15-minutes-with-machine-learning-dbebb035a710

Python Exceptions: An Introduction
https://realpython.com/python-exceptions/

Python Metaclasses
https://realpython.com/python-metaclasses/

Building a Simple Web App with Bottle, SQLAlchemy, and the Twitter API
https://realpython.com/blog/python/building-a-simple-web-app-with-bottle-sqlalchemy-twitter-api/

Python – Regular Expressions Practical Guide
http://devarea.com/python-regular-expressions-practical-guide/#.Wki2nN_iZhE

A fast high-level screen scraping and web crawling framework.
https://scrapy.org

A fast high-level screen scraping and web crawling framework.
https://pyfiddle.io/

Python Web scraping
http://scrapingauthority.com/python-scrapy-mysql-and-matplotlib-to-gain-web-data-insights/

Tips for writing extremely short Python programs
Extremely short Python programs (aka “golfing”)

Instagramming with Python for Data Analysis
The guide

Julien Danjou blog

Easy Python logging with daiquiri

The three things you need to know about packaging are:

– Use pip to install your packages from PyPI
– Use pbr to package your modules
– Use PyPI to publish your package