| license: mit |
A curated list of AWS resources to prepare for the AWS Certifications
A curated list of awesome AWS resources you need to prepare for the all 5 AWS Certifications. This gist will include: open source repos, blogs & blogposts, ebooks, PDF, whitepapers, video courses, free lecture, slides, sample test and many other resources.
I recently had several days of extremely frustrating experiences with service workers. Here are a few things I've since learned which would have made my life much easier but which isn't particularly obvious from most of the blog posts and videos I've seen.
I'll add to this list over time – suggested additions welcome in the comments or via twitter.com/rich_harris.
Chrome 51 has some pretty wild behaviour related to console.log in service workers. Canary doesn't, and it has a load of really good service worker related stuff in devtools.
| #!/usr/bin/env python3 | |
| # coding: utf-8 | |
| import matplotlib | |
| import matplotlib.pyplot as plt | |
| import pandas as pd | |
| import squarify | |
| import platform | |
| # print versions |
| # example of using a parameterized function as a converter when reading .csv in pandas | |
| import pandas as pd | |
| # a function that will be used to pad datafram column values to a specified length | |
| # (some incoming values are multiple spaces; those should convert to Noe) | |
| padFunction = lambda field, padTo: str(field).strip().zfill(padTo) if len(str(field).strip()) else None | |
| # read file w/o using converters and display list of unique alloc_id values | |
| pa = pd.read_csv( |
| """ Trains an agent with (stochastic) Policy Gradients on Pong. Uses OpenAI Gym. """ | |
| import numpy as np | |
| import cPickle as pickle | |
| import gym | |
| # hyperparameters | |
| H = 200 # number of hidden layer neurons | |
| batch_size = 10 # every how many episodes to do a param update? | |
| learning_rate = 1e-4 | |
| gamma = 0.99 # discount factor for reward |
