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pythondev | help | thank you so much for your time :tada::unicorn_face: | 2017-09-09T15:13:28.000067 | Sean | pythondev_help_Sean_2017-09-09T15:13:28.000067 | 1,504,970,008.000067 | 93,003 |
pythondev | help | I've searched for hours with no luck. What is the best way to deal with MySQl escaped strings. I'm somewhat new to Python and this has me stuck. I know i could do a regex but I'm hoping there is a standard method for this. It uses SqlAlchemy | 2017-09-10T00:10:51.000006 | Gary | pythondev_help_Gary_2017-09-10T00:10:51.000006 | 1,505,002,251.000006 | 93,004 |
pythondev | help | I come from a PHP background where we use stripslashes, this might lend a hand to the thinking pattern I have | 2017-09-10T00:11:38.000039 | Gary | pythondev_help_Gary_2017-09-10T00:11:38.000039 | 1,505,002,298.000039 | 93,005 |
pythondev | help | I believe SQLAlchemy should handle it for you as long as you declare a mapping and use the "?" to pass in parameters into your query string | 2017-09-10T03:54:00.000043 | Dominque | pythondev_help_Dominque_2017-09-10T03:54:00.000043 | 1,505,015,640.000043 | 93,006 |
pythondev | help | ok, i will look into that then. Thank you elliot | 2017-09-10T04:09:39.000021 | Gary | pythondev_help_Gary_2017-09-10T04:09:39.000021 | 1,505,016,579.000021 | 93,007 |
pythondev | help | hello guys | 2017-09-10T08:37:06.000029 | Moon | pythondev_help_Moon_2017-09-10T08:37:06.000029 | 1,505,032,626.000029 | 93,008 |
pythondev | help | I am newbie to python | 2017-09-10T08:37:18.000045 | Moon | pythondev_help_Moon_2017-09-10T08:37:18.000045 | 1,505,032,638.000045 | 93,009 |
pythondev | help | I need take screenshot for particular area on my screen. | 2017-09-10T08:37:50.000023 | Moon | pythondev_help_Moon_2017-09-10T08:37:50.000023 | 1,505,032,670.000023 | 93,010 |
pythondev | help | Can u suggest right module to work on? | 2017-09-10T08:38:04.000022 | Moon | pythondev_help_Moon_2017-09-10T08:38:04.000022 | 1,505,032,684.000022 | 93,011 |
pythondev | help | windows, mac or linux? <@Moon> | 2017-09-10T08:43:28.000029 | Romelia | pythondev_help_Romelia_2017-09-10T08:43:28.000029 | 1,505,033,008.000029 | 93,012 |
pythondev | help | Windows | 2017-09-10T08:43:41.000004 | Moon | pythondev_help_Moon_2017-09-10T08:43:41.000004 | 1,505,033,021.000004 | 93,013 |
pythondev | help | ShareX | 2017-09-10T08:44:07.000060 | Romelia | pythondev_help_Romelia_2017-09-10T08:44:07.000060 | 1,505,033,047.00006 | 93,014 |
pythondev | help | <@Romelia> ShareX has a Python binding? | 2017-09-10T09:08:55.000031 | Suellen | pythondev_help_Suellen_2017-09-10T09:08:55.000031 | 1,505,034,535.000031 | 93,015 |
pythondev | help | Quick question guys, what is everyone's preferred means of environment configuration handling? | 2017-09-10T09:14:17.000024 | Dominque | pythondev_help_Dominque_2017-09-10T09:14:17.000024 | 1,505,034,857.000024 | 93,016 |
pythondev | help | Doing research for an article and I want some alternative opinions | 2017-09-10T09:14:28.000060 | Dominque | pythondev_help_Dominque_2017-09-10T09:14:28.000060 | 1,505,034,868.00006 | 93,017 |
pythondev | help | I honestly don't know <@Suellen> | 2017-09-10T09:22:41.000002 | Romelia | pythondev_help_Romelia_2017-09-10T09:22:41.000002 | 1,505,035,361.000002 | 93,018 |
pythondev | help | <@Dominque> like for your local development machine or something else? | 2017-09-10T09:43:01.000034 | Junita | pythondev_help_Junita_2017-09-10T09:43:01.000034 | 1,505,036,581.000034 | 93,019 |
pythondev | help | Hello,
I'm trying to run this condition `int(np.sign(weights.T.dot(points))) != y` however I've been getting this error for a while and can't seem to debug. I'm new to Python and Numpy. Here's the error: `ValueError: setting an array element with a sequence.`
Code: <https://gist.github.com/hallaksec/99ab4d6a6da93ed9ff991a5e3315a291> | 2017-09-10T09:51:30.000022 | Christin | pythondev_help_Christin_2017-09-10T09:51:30.000022 | 1,505,037,090.000022 | 93,020 |
pythondev | help | Probably best to break it down into individual steps so that you can see from the error line number exactly where the problem lies. e.g.:
```
dot = weights.T.dot(points)
sign = np.sign(dot)
int_sign = int(sign)
if int_sign != y:
# etc
``` | 2017-09-10T09:59:59.000104 | Gabriele | pythondev_help_Gabriele_2017-09-10T09:59:59.000104 | 1,505,037,599.000104 | 93,021 |
pythondev | help | <@Gabriele> I can tell that its `np.sign(weights.T.dot(points))` | 2017-09-10T10:03:12.000098 | Christin | pythondev_help_Christin_2017-09-10T10:03:12.000098 | 1,505,037,792.000098 | 93,022 |
pythondev | help | but is it the np.sign call, or the weights.T.dot call? | 2017-09-10T10:04:38.000049 | Gabriele | pythondev_help_Gabriele_2017-09-10T10:04:38.000049 | 1,505,037,878.000049 | 93,023 |
pythondev | help | Its the .dot | 2017-09-10T10:05:16.000008 | Christin | pythondev_help_Christin_2017-09-10T10:05:16.000008 | 1,505,037,916.000008 | 93,024 |
pythondev | help | Here's a sample:
```weights = [[ 0. 0. 0.]]
points = [(array([ 1. , -0.18592399, -0.14921323]), 1), (array([ 1. , 0.63754454, 0.36669891]), 1)]
``` | 2017-09-10T10:06:30.000023 | Christin | pythondev_help_Christin_2017-09-10T10:06:30.000023 | 1,505,037,990.000023 | 93,025 |
pythondev | help | is it expected that the elements in points are arrays? how was that constructed? do you know the expected dimensions? | 2017-09-10T10:11:12.000062 | Junita | pythondev_help_Junita_2017-09-10T10:11:12.000062 | 1,505,038,272.000062 | 93,026 |
pythondev | help | <@Junita> i constructed points using this function:
```def generate_data(self, N):
print("[+] Generating Data..")
data = []
for i in range(N):
x, y = [np.random.uniform(-1, 1) for i in range(2)]
points = np.array([1,x,y])
data.append((points, int(np.sign(self.V.T.dot(points)))))
return data``` | 2017-09-10T10:12:20.000072 | Christin | pythondev_help_Christin_2017-09-10T10:12:20.000072 | 1,505,038,340.000072 | 93,027 |
pythondev | help | so points is the return value of `generate_data`? | 2017-09-10T10:13:54.000001 | Junita | pythondev_help_Junita_2017-09-10T10:13:54.000001 | 1,505,038,434.000001 | 93,028 |
pythondev | help | Yup | 2017-09-10T10:14:16.000039 | Christin | pythondev_help_Christin_2017-09-10T10:14:16.000039 | 1,505,038,456.000039 | 93,029 |
pythondev | help | Full code here <https://gist.github.com/hallaksec/99ab4d6a6da93ed9ff991a5e3315a291> | 2017-09-10T10:14:27.000036 | Christin | pythondev_help_Christin_2017-09-10T10:14:27.000036 | 1,505,038,467.000036 | 93,030 |
pythondev | help | so, take this with a grain of salt as I’m a numpy noob myself - but I think the issue here is that you are trying to use a multidimensional array here instead of a numpy matrix | 2017-09-10T10:16:30.000079 | Junita | pythondev_help_Junita_2017-09-10T10:16:30.000079 | 1,505,038,590.000079 | 93,031 |
pythondev | help | If I replace np.array with np.matrix `shapes (3,) and (1,3) not aligned: 3 (dim 0) != 1 (dim 0)` | 2017-09-10T10:18:26.000039 | Christin | pythondev_help_Christin_2017-09-10T10:18:26.000039 | 1,505,038,706.000039 | 93,032 |
pythondev | help | So I guess my vector V is now the problem but I replaced the np.array with np.matrix as well which yields `only length-1 arrays can be converted to Python scalars` | 2017-09-10T10:18:46.000042 | Christin | pythondev_help_Christin_2017-09-10T10:18:46.000042 | 1,505,038,726.000042 | 93,033 |
pythondev | help | so, you can give a shape to `np.random.uniform` | 2017-09-10T10:24:22.000037 | Junita | pythondev_help_Junita_2017-09-10T10:24:22.000037 | 1,505,039,062.000037 | 93,034 |
pythondev | help | although I’m not 100% following what you are trying to do - but yeah, I think trying to construct it the way you are is at fault | 2017-09-10T10:25:14.000015 | Junita | pythondev_help_Junita_2017-09-10T10:25:14.000015 | 1,505,039,114.000015 | 93,035 |
pythondev | help | also, I seem to recall a tip of avoiding rank 1 arrays like that, where it’s better to use a vector (i.e. something of shape (n, 1) vs (n,) | 2017-09-10T10:26:30.000056 | Junita | pythondev_help_Junita_2017-09-10T10:26:30.000056 | 1,505,039,190.000056 | 93,036 |
pythondev | help | Can't seem to find any solution :confused: <@Junita> <@Gabriele> | 2017-09-10T10:37:44.000029 | Christin | pythondev_help_Christin_2017-09-10T10:37:44.000029 | 1,505,039,864.000029 | 93,037 |
pythondev | help | What does the whole traceback look like? | 2017-09-10T10:39:14.000028 | Gabriele | pythondev_help_Gabriele_2017-09-10T10:39:14.000028 | 1,505,039,954.000028 | 93,038 |
pythondev | help | <@Gabriele> ```Traceback (most recent call last):
File "C:\Users\hallak\Desktop\a.py", line 106, in <module>
p.run()
File "C:\Users\hallak\Desktop\a.py", line 90, in run
while self.error(w) != 0 or iterations <= 1000:
File "C:\Users\hallak\Desktop\a.py", line 58, in error
if int(np.sign(weights.T.dot(points))) != y:
ValueError: setting an array element with a sequence.``` | 2017-09-10T10:42:26.000035 | Christin | pythondev_help_Christin_2017-09-10T10:42:26.000035 | 1,505,040,146.000035 | 93,039 |
pythondev | help | Not as helpful as I'd hoped. I think you just have to make sure that `points` is the same shape and size as `weights.T`. You might want to print both those values out to see what they are, and try and use that information to make the necessary adjustments | 2017-09-10T10:44:00.000026 | Gabriele | pythondev_help_Gabriele_2017-09-10T10:44:00.000026 | 1,505,040,240.000026 | 93,040 |
pythondev | help | I have a `pytest` dilemma. I have a a `conftest.py` that's gotten to be pretty huge, since it contains a lot of fixtures (around 1500) lines. I know I can have several `conftest` files but I kinda like having all my fixtures bundled together. Ideas anyone? | 2017-09-10T11:59:53.000079 | Betsy | pythondev_help_Betsy_2017-09-10T11:59:53.000079 | 1,505,044,793.000079 | 93,041 |
pythondev | help | Sounds like you know the options, I personally nest my test folders and Cascade the fixtures down, and only "promote" them to a higher level when they're needed | 2017-09-10T12:24:51.000086 | Beula | pythondev_help_Beula_2017-09-10T12:24:51.000086 | 1,505,046,291.000086 | 93,042 |
pythondev | help | I guess that makes sense | 2017-09-10T12:59:32.000031 | Betsy | pythondev_help_Betsy_2017-09-10T12:59:32.000031 | 1,505,048,372.000031 | 93,043 |
pythondev | help | <@Romelia> ShareX is not binded for python . Any other alternate python modules for screenshots? | 2017-09-10T13:24:30.000049 | Moon | pythondev_help_Moon_2017-09-10T13:24:30.000049 | 1,505,049,870.000049 | 93,044 |
pythondev | help | hi guys, trying to get pip3 working when installing python3.4 on my mac using brew. | 2017-09-10T15:02:01.000074 | Myriam | pythondev_help_Myriam_2017-09-10T15:02:01.000074 | 1,505,055,721.000074 | 93,045 |
pythondev | help | In case this is ever useful for someone else. I ended up just doing .replace("\\'", "'") and calling it a day | 2017-09-10T15:03:36.000088 | Gary | pythondev_help_Gary_2017-09-10T15:03:36.000088 | 1,505,055,816.000088 | 93,046 |
pythondev | help | <@Junita> I meant as in how do you manage dev environment config and prod environment config in the same project? I'd tend to go down the system environment variable route but I'm wondering if there are other options | 2017-09-10T15:11:21.000022 | Dominque | pythondev_help_Dominque_2017-09-10T15:11:21.000022 | 1,505,056,281.000022 | 93,047 |
pythondev | help | I find this description quite good <https://12factor.net/config> | 2017-09-10T15:19:42.000091 | Mirian | pythondev_help_Mirian_2017-09-10T15:19:42.000091 | 1,505,056,782.000091 | 93,048 |
pythondev | help | Hi all - looking for any recommendations on streaming a 3GB csv - fortunately im going to reduce the columns to maybe 3-5 at most but its a good size - possibly 10s of millions of rows | 2017-09-10T18:07:47.000001 | Martha | pythondev_help_Martha_2017-09-10T18:07:47.000001 | 1,505,066,867.000001 | 93,049 |
pythondev | help | AWS S3? | 2017-09-10T18:09:13.000122 | Meg | pythondev_help_Meg_2017-09-10T18:09:13.000122 | 1,505,066,953.000122 | 93,050 |
pythondev | help | for storage | 2017-09-10T18:09:31.000069 | Meg | pythondev_help_Meg_2017-09-10T18:09:31.000069 | 1,505,066,971.000069 | 93,051 |
pythondev | help | or do you mean some sort of streaming addition to a server? | 2017-09-10T18:09:44.000030 | Meg | pythondev_help_Meg_2017-09-10T18:09:44.000030 | 1,505,066,984.00003 | 93,052 |
pythondev | help | no I have it locally - we are importing our next batch of contacts - and thats all set up - but im doing a side analysis for our product manager - its techinically only text processing - but im doing it locally and giving him back a list of all the crappy contacts - I have a class I wrote that I use allt he time that determies likely relation between an entity and a url | 2017-09-10T18:10:23.000014 | Martha | pythondev_help_Martha_2017-09-10T18:10:23.000014 | 1,505,067,023.000014 | 93,053 |
pythondev | help | ok, by streaming, do you mean chunking with `csv`? | 2017-09-10T18:11:20.000022 | Meg | pythondev_help_Meg_2017-09-10T18:11:20.000022 | 1,505,067,080.000022 | 93,054 |
pythondev | help | yeah - i just want to read in the data and write it back out after running it through one function - i just dont want to read it all into memory | 2017-09-10T18:11:41.000062 | Martha | pythondev_help_Martha_2017-09-10T18:11:41.000062 | 1,505,067,101.000062 | 93,055 |
pythondev | help | hmm. hmm | 2017-09-10T18:14:36.000066 | Meg | pythondev_help_Meg_2017-09-10T18:14:36.000066 | 1,505,067,276.000066 | 93,056 |
pythondev | help | <https://codereview.stackexchange.com/questions/88885/efficiently-filter-a-large-100gb-csv-file-v3> | 2017-09-10T18:14:37.000068 | Meg | pythondev_help_Meg_2017-09-10T18:14:37.000068 | 1,505,067,277.000068 | 93,057 |
pythondev | help | its a similar problem as you have, so you might find some tips to try there | 2017-09-10T18:17:00.000062 | Meg | pythondev_help_Meg_2017-09-10T18:17:00.000062 | 1,505,067,420.000062 | 93,058 |
pythondev | help | thanks im looking thru it | 2017-09-10T18:17:15.000068 | Martha | pythondev_help_Martha_2017-09-10T18:17:15.000068 | 1,505,067,435.000068 | 93,059 |
pythondev | help | using the `csv` module you can iterate over a `Reader` object which is a generator, so you won't load it all into memory | 2017-09-10T18:23:33.000040 | Betsy | pythondev_help_Betsy_2017-09-10T18:23:33.000040 | 1,505,067,813.00004 | 93,060 |
pythondev | help | <https://docs.python.org/3/library/csv.html#csv.reader> | 2017-09-10T18:24:14.000020 | Betsy | pythondev_help_Betsy_2017-09-10T18:24:14.000020 | 1,505,067,854.00002 | 93,061 |
pythondev | help | what is a good way to measure/test whether or not its properly running (e.g. using or not using a bunch of memory) | 2017-09-10T18:24:56.000011 | Martha | pythondev_help_Martha_2017-09-10T18:24:56.000011 | 1,505,067,896.000011 | 93,062 |
pythondev | help | Yep, +1 for the csv.reader:
```
import csv
with open('massive_file.txt') as f:
reader = csv.reader(f)
headers = next(reader)
for row in reader:
pass
``` | 2017-09-10T18:25:13.000084 | Beula | pythondev_help_Beula_2017-09-10T18:25:13.000084 | 1,505,067,913.000084 | 93,063 |
pythondev | help | you can do `free -m` on a posix machine (linux, mac) | 2017-09-10T18:25:27.000047 | Beula | pythondev_help_Beula_2017-09-10T18:25:27.000047 | 1,505,067,927.000047 | 93,064 |
pythondev | help | If your machine didn't crash then it's probably fine :grimacing: | 2017-09-10T18:25:33.000020 | Betsy | pythondev_help_Betsy_2017-09-10T18:25:33.000020 | 1,505,067,933.00002 | 93,065 |
pythondev | help | lol id like to not crash my computer :slightly_smiling_face: | 2017-09-10T18:25:44.000013 | Martha | pythondev_help_Martha_2017-09-10T18:25:44.000013 | 1,505,067,944.000013 | 93,066 |
pythondev | help | it shouldn't since you only have a row at a time | 2017-09-10T18:25:59.000006 | Beula | pythondev_help_Beula_2017-09-10T18:25:59.000006 | 1,505,067,959.000006 | 93,067 |
pythondev | help | Are you familiar with the concept of generators in python? | 2017-09-10T18:26:29.000011 | Betsy | pythondev_help_Betsy_2017-09-10T18:26:29.000011 | 1,505,067,989.000011 | 93,068 |
pythondev | help | kind of - I havent really used them much yet tbh -i would likely use them for csvs but i usually throw all my massive csv into gocsv | 2017-09-10T18:26:51.000026 | Martha | pythondev_help_Martha_2017-09-10T18:26:51.000026 | 1,505,068,011.000026 | 93,069 |
pythondev | help | Or more accurately, an iterator | 2017-09-10T18:27:01.000026 | Betsy | pythondev_help_Betsy_2017-09-10T18:27:01.000026 | 1,505,068,021.000026 | 93,070 |
pythondev | help | Well, the whole concept of an iterator object is that it doesn't hold the data structure in memory, but iterates over the elements per requests, yielding the relevant part | 2017-09-10T18:27:52.000097 | Betsy | pythondev_help_Betsy_2017-09-10T18:27:52.000097 | 1,505,068,072.000097 | 93,071 |
pythondev | help | In case of the csv module, that means that only one line is read into memory each time, and released when the next one is called | 2017-09-10T18:28:29.000028 | Betsy | pythondev_help_Betsy_2017-09-10T18:28:29.000028 | 1,505,068,109.000028 | 93,072 |
pythondev | help | thats exactly what I want | 2017-09-10T18:28:40.000076 | Martha | pythondev_help_Martha_2017-09-10T18:28:40.000076 | 1,505,068,120.000076 | 93,073 |
pythondev | help | Hence the recommendation :wink: | 2017-09-10T18:29:12.000134 | Betsy | pythondev_help_Betsy_2017-09-10T18:29:12.000134 | 1,505,068,152.000134 | 93,074 |
pythondev | help | thanks :slightly_smiling_face: | 2017-09-10T18:29:18.000042 | Martha | pythondev_help_Martha_2017-09-10T18:29:18.000042 | 1,505,068,158.000042 | 93,075 |
pythondev | help | I think `panda` had some nice tools for handling csv, but 8 have no experience with that | 2017-09-10T18:29:44.000018 | Betsy | pythondev_help_Betsy_2017-09-10T18:29:44.000018 | 1,505,068,184.000018 | 93,076 |
pythondev | help | playing around with the suggestions now - will be back shortly lol | 2017-09-10T18:29:59.000033 | Martha | pythondev_help_Martha_2017-09-10T18:29:59.000033 | 1,505,068,199.000033 | 93,077 |
pythondev | help | yeah i saw a few answers on so about pandas | 2017-09-10T18:30:10.000096 | Martha | pythondev_help_Martha_2017-09-10T18:30:10.000096 | 1,505,068,210.000096 | 93,078 |
pythondev | help | but i dont use it much, ive found other workaround sometimes suit better at times | 2017-09-10T18:30:23.000063 | Martha | pythondev_help_Martha_2017-09-10T18:30:23.000063 | 1,505,068,223.000063 | 93,079 |
pythondev | help | It may be overkill for your needs though | 2017-09-10T18:30:29.000029 | Betsy | pythondev_help_Betsy_2017-09-10T18:30:29.000029 | 1,505,068,229.000029 | 93,080 |
pythondev | help | <https://pandas.pydata.org/pandas-docs/stable/generated/pandas.read_csv.html> | 2017-09-10T18:30:34.000005 | Betsy | pythondev_help_Betsy_2017-09-10T18:30:34.000005 | 1,505,068,234.000005 | 93,081 |
pythondev | help | Can you share the code you used? | 2017-09-10T18:47:26.000047 | Betsy | pythondev_help_Betsy_2017-09-10T18:47:26.000047 | 1,505,069,246.000047 | 93,082 |
pythondev | help | ```def readCsv(filename):
with open(filename, "r") as csvfile:
datareader = csv.reader(csvfile)
count = 0
for row in datareader:
count += 1
if count % 1000 == 0:
print(count)
for [name,url,email] in [row]:
mmq = s.MismatchedQueryData(name, url)
mmq_results = mmq.build_results()
if mmq_results[2] != 'Related':
row = mmq_results[:3]
outcsv.writerow(row)
outfile.flush()``` | 2017-09-10T18:53:36.000027 | Martha | pythondev_help_Martha_2017-09-10T18:53:36.000027 | 1,505,069,616.000027 | 93,083 |
pythondev | help | thanks :taco: <@Betsy> <@Beula> | 2017-09-10T18:58:32.000069 | Martha | pythondev_help_Martha_2017-09-10T18:58:32.000069 | 1,505,069,912.000069 | 93,084 |
pythondev | help | Well you kinda misused the csv module there. You don't need to implement the iterator yourself, reader is already an iterator | 2017-09-10T19:00:01.000222 | Betsy | pythondev_help_Betsy_2017-09-10T19:00:01.000222 | 1,505,070,001.000222 | 93,085 |
pythondev | help | I'm on the phone so forgive the crude syntax :
| 2017-09-10T19:00:17.000091 | Betsy | pythondev_help_Betsy_2017-09-10T19:00:17.000091 | 1,505,070,017.000091 | 93,086 |
pythondev | help | oh its fine - i just kind of mashed 2 different functions together lol - open to suggestions/etc that I can fix | 2017-09-10T19:00:31.000085 | Martha | pythondev_help_Martha_2017-09-10T19:00:31.000085 | 1,505,070,031.000085 | 93,087 |
pythondev | help | I have one that I usually use the csv with haha so I was trying to add the part of that which I like | 2017-09-10T19:01:06.000012 | Martha | pythondev_help_Martha_2017-09-10T19:01:06.000012 | 1,505,070,066.000012 | 93,088 |
pythondev | help | Well for off you can use `DictReader`that will return a nice dict object per row | 2017-09-10T19:01:10.000067 | Betsy | pythondev_help_Betsy_2017-09-10T19:01:10.000067 | 1,505,070,070.000067 | 93,089 |
pythondev | help | Ah gotcha | 2017-09-10T19:01:19.000092 | Betsy | pythondev_help_Betsy_2017-09-10T19:01:19.000092 | 1,505,070,079.000092 | 93,090 |
pythondev | help | basically i want it to write to file in real time - so i can preview results as it is building if needed (which I do a lot) | 2017-09-10T19:01:42.000040 | Martha | pythondev_help_Martha_2017-09-10T19:01:42.000040 | 1,505,070,102.00004 | 93,091 |
pythondev | help | thats the only requirement really for me | 2017-09-10T19:01:47.000070 | Martha | pythondev_help_Martha_2017-09-10T19:01:47.000070 | 1,505,070,107.00007 | 93,092 |
pythondev | help | Not sure what you mean by real time... | 2017-09-10T19:02:16.000043 | Betsy | pythondev_help_Betsy_2017-09-10T19:02:16.000043 | 1,505,070,136.000043 | 93,093 |
pythondev | help | im prob mixing two concepts together - i imagine thats whats wrong here lol | 2017-09-10T19:02:30.000060 | Martha | pythondev_help_Martha_2017-09-10T19:02:30.000060 | 1,505,070,150.00006 | 93,094 |
pythondev | help | Maybe. Well I'm off for now, night | 2017-09-10T19:03:35.000080 | Betsy | pythondev_help_Betsy_2017-09-10T19:03:35.000080 | 1,505,070,215.00008 | 93,095 |
pythondev | help | I have a problem when trying to use .update on a dict from a json file | 2017-09-10T23:07:54.000154 | Kati | pythondev_help_Kati_2017-09-10T23:07:54.000154 | 1,505,084,874.000154 | 93,096 |
pythondev | help | It seems to disregard the dict from the json file and replace it with the dict I want to append | 2017-09-10T23:08:33.000189 | Kati | pythondev_help_Kati_2017-09-10T23:08:33.000189 | 1,505,084,913.000189 | 93,097 |
pythondev | help | <@Kati> use the `+` button to add a code snippet with the code you're having an issue with | 2017-09-10T23:09:36.000024 | Marcie | pythondev_help_Marcie_2017-09-10T23:09:36.000024 | 1,505,084,976.000024 | 93,098 |
pythondev | help | It's a bit messy after all the experimenting, but I'll make a clean example and upload it, 2 sec | 2017-09-10T23:10:50.000101 | Kati | pythondev_help_Kati_2017-09-10T23:10:50.000101 | 1,505,085,050.000101 | 93,099 |
pythondev | help | <@Kati> I get back:
```In [14]: a = Example()
{u'posted': {'new_value': {}}}``` | 2017-09-10T23:27:51.000130 | Marcie | pythondev_help_Marcie_2017-09-10T23:27:51.000130 | 1,505,086,071.00013 | 93,100 |
pythondev | help | which is the expected behaviour | 2017-09-10T23:28:01.000072 | Marcie | pythondev_help_Marcie_2017-09-10T23:28:01.000072 | 1,505,086,081.000072 | 93,101 |
pythondev | help | are you expecting something different? | 2017-09-10T23:28:18.000027 | Marcie | pythondev_help_Marcie_2017-09-10T23:28:18.000027 | 1,505,086,098.000027 | 93,102 |
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