Generator functions allow for yielding which is an important skill to have when you are becoming advanced with python. It basically allows creating lists but not caring about the whole list, onlyRead More…
This is a simple python script which uses the WebEx API. WebEx is a chat system created by Cisco. However its alot more then just that, its full on collaboration tool thatRead More…
Github: https://github.com/bhbmaster/rhood <- download location. install & run instructions. Using the robin-stocks python module, I created my own robinhood portfolio analyzer called rhood. It parses all of your Robinhood account information providedRead More…
Sometimes you start coding something and you don’t yet realize if it will be a project worth sharing on github. We don’t always think about this as we begin coding. This isRead More…
I came across this medium article about python and guitar strings and plotting scales. It has an interesting Jupyter notebook to work with, allowing to plot scales for all of the chords.Read More…
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# citing: https://www.reddit.com/r/Python/comments/jfx7wy/how_to_quickly_remove_duplicates_from_a_list/ # Let's make some duplicates (one million numbers between 1 and 100) from random import randrange DUPLICATES = [ randrange(100) for _ in range(1_000_000) ] ### METHOD 1 ### # Not very efficient - Similar to "sort | uniq" but the original order is kept unique = [] for element in DUPLICATES: if element not in unique: unique.append(element) print(unique) # Output: [95, 62, 73, 27, 89, 88, 31, 50, 26, 97, 13, 18, 54, 64, 17, 94, 72, 65, 83, 14, 40, 91, 1, 21, 22, 52, 61, 15, 7, 80, 24, 42, 37, 96, 74, 9, 59, 44, 66, 20, 6, 84, 39, 81, 2, 67, 32, 77, 36, 5, 8, 47, 55, 82, 60, 35, 33, 75, 57, 68, 29, 11, 23, 86, 69, 99, 25, 78, 76, 19, 12, 92, 10, 90, 16, 3, 51, 4, 28, 0, 71, 46, 79, 85, 58, 48, 93, 56, 53, 98, 87, 30, 45, 63, 70, 38, 41, 43, 34, 49] ### METHOD 2 ### # Very efficient - Similar to "sort | uniq" list(set(DUPLICATES)) # This works because sets contain unique items by definition # Output: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99] ### METHOD 3 ### # Very efficient but order preserved # Not sure which bash function this is similar to # Resembles "sort | uniq" but with the original order preserved # But sets are unordered! What if we need to preserve the order? # Use this dict.fromkeys() trick! list(dict.fromkeys(DUPLICATES)) # Output: [95, 62, 73, 27, 89, 88, 31, 50, 26, 97, 13, 18, 54, 64, 17, 94, 72, 65, 83, 14, 40, 91, 1, 21, 22, 52, 61, 15, 7, 80, 24, 42, 37, 96, 74, 9, 59, 44, 66, 20, 6, 84, 39, 81, 2, 67, 32, 77, 36, 5, 8, 47, 55, 82, 60, 35, 33, 75, 57, 68, 29, 11, 23, 86, 69, 99, 25, 78, 76, 19, 12, 92, 10, 90, 16, 3, 51, 4, 28, 0, 71, 46, 79, 85, 58, 48, 93, 56, 53, 98, 87, 30, 45, 63, 70, 38, 41, 43, 34, 49] ### METHOD 4 ### # Older Python - Similar to "uniq | sort" # But it only works for Python 3.6 and above # For Python 2.7 and 3.0-3.5, use OrderedDict:from collections import OrderedDict list(OrderedDict.fromkeys(DUPLICATES)) #### METHOD 5 ### # Crunch duplicates as they appear and show count # Similar to bashes "uniq -c" # I will show you how to do "uniq -c" on a string # Just change the input to a list and it will work on a list # METHOD 5.1 # from itertools import groupby input = "Raaanndommmm Leetters" for i,v in groupby(input): print(len(list(v)),i) # Output: 1 R 3 a 2 n 1 d 1 o 4 m 1 1 L 2 e 2 t 1 e 1 r 1 s # METHOD 5.2 # # Or you can return a list for an output: l=[] for i,v in groupby(input): l.append(str(len(list(v)))+" "+str(i)) print(l) # Output: ['1 R', '3 a', '2 n', '1 d', '1 o', '4 m', '1 ', '1 L', '2 e', '2 t', '1 e', '1 r', '1 s'] # METHOD 5.3 # # Same solution as a one liner: print([ str(len(list(v)))+" "+str(i) for i,v in groupby(input)]) # Output: ['1 R', '3 a', '2 n', '1 d', '1 o', '4 m', '1 ', '1 L', '2 e', '2 t', '1 e', '1 r', '1 s'] ### METHOD 6 ### # Crunch out duplicates but dont show count # METHOD 6.1 # from itertools import groupby input = "Raaanndommmm Leetters" for i,v in groupby(input): print(str(i)) # Output: R a n d o m L e t e r s # METHOD 6.2 # l=[] for i,v in groupby(input): l.append(str(i)) print(l) # Output: ['R', 'a', 'n', 'd', 'o', 'm', ' ', 'L', 'e', 't', 'e', 'r', 's'] # METHOD 6.3 # print([ str(i) for i,v in groupby(input)]) # Output: ['R', 'a', 'n', 'd', 'o', 'm', ' ', 'L', 'e', 't', 'e', 'r', 's'] |
A Coronavirus COVID-19 dashboard for the world and each country created by me. There are log y-axis scale plots and normal y-axis scale plots. Also a plot showing trends of each CaliforniaRead More…
Below is examples of passing arguments to python via regular argument assignment, and tuples and *tuples, and dictionaries and **dictionaries. Here is my gist link for it: https://gist.github.com/anonymous/271d6160cdd90a482b40 (older) Not covering all methods (forRead More…
Rule of thumb: when implementing a function or program, you should implement it at the end points. Quote: End-to-end connectivity is a property of the Internet that allows all nodes of the network toRead More…
So you changed a file and now you want the original back (the original from the last commit). You want to undo the changes. I do it like this: git checkout HEADRead More…