| import serial | |
| import csv | |
| import re | |
| import matplotlib.pyplot as plt | |
| import pandas as pd | |
| portPath = "/dev/ttyACM0" # Must match value shown on Arduino IDE | |
| baud = 115200 # Must match Arduino baud rate | |
| timeout = 5 # Seconds | |
| filename = "data.csv" |
This gist started with a collection of resources I was maintaining on stream data processing — also known as distributed logs, data pipelines, event sourcing, CQRS, and other names.
Over time the set of resources grew quite large and I received some interest in a more guided, opinionated path for learning about stream data processing. So I added the reading list.
Please send me feedback!
Become an expert, build a following, and gain financial independence.
by Nathan Barry
Table of Contents
| Borrowed from: http://stackoverflow.com/questions/2573135/python-progression-path-from-apprentice-to-guru | |
| I've been learning, working, and playing with Python for a year and a half now. As a biologist slowly making the turn to bio-informatics, this language has been at the very core of all the major contributions I have made in the lab. I more or less fell in love with the way Python permits me to express beautiful solutions and also with the semantics of the language that allows such a natural flow from thoughts to workable code. | |
| What I would like to know is your answer to a kind of question I have seldom seen in this or other forums. This question seems central to me for anyone on the path to Python improvement but who wonders what his next steps should be. | |
| Let me sum up what I do NOT want to ask first ;) | |
| I don't want to know how to QUICKLY learn Python | |
| Nor do I want to find out the best way to get acquainted with the language |
| var OFF = 0, WARN = 1, ERROR = 2; | |
| module.exports = exports = { | |
| "env": { | |
| "es6": true | |
| }, | |
| "ecmaFeatures": { | |
| // env=es6 doesn't include modules, which we are using | |
| "modules": true |
Slack doesn't provide an easy way to extract custom emoji from a team. (Especially teams with thousands of custom emoji) This Gist walks you through a relatively simple approach to get your emoji out.
If you're an admin of your own team, you can get the list of emoji directly using this API: https://api.slack.com/methods/emoji.list. Once you have it, skip to Step 3
HOWEVER! This gist is intended for people who don't have admin access, nor access tokens for using that list.
Follow along...
Picking the right architecture = Picking the right battles + Managing trade-offs
Just a quickie test in Python 3 (using Requests) to see if Google Cloud Vision can be used to effectively OCR a scanned data table and preserve its structure, in the way that products such as ABBYY FineReader can OCR an image and provide Excel-ready output.
The short answer: No. While Cloud Vision provides bounding polygon coordinates in its output, it doesn't provide it at the word or region level, which would be needed to then calculate the data delimiters.
On the other hand, the OCR quality is pretty good, if you just need to identify text anywhere in an image, without regards to its physical coordinates. I've included two examples:
####### 1. A low-resolution photo of road signs
| from /u/cscanlin | |
| #Find all of the numbers from 1-1000 that are divisible by 7 | |
| results = [num for num in range(1000) if num % 7 == 0] | |
| #print(results) | |
| #Find all of the numbers from 1-1000 that have a 3 in them | |
| results = [num for num in range(1000) if '3' in list(str(num))] | |
| #print(results) |
| # from /u/coding2learn | |
| #Create these Lists: | |
| #[-10,-9,-8,-7,-6,-5,-4,-3,-2,-1,0] | |
| results = [num for num in range(-10,1)] # hey, i learned you don't even need a conditional! | |
| #print(results) | |
| #A list of all consonants in the sentence 'The quick brown fox jumped over the lazy dog' | |
| teststring = 'The quick brown fox jumped over the lazy dog' | |
| vowels = ['a','e','i','o','u',' '] |
