workspace stringclasses 1
value | channel stringclasses 1
value | sentences stringlengths 1 3.93k | ts stringlengths 26 26 | user stringlengths 2 11 | sentence_id stringlengths 44 53 | timestamp float64 1.5B 1.56B | __index_level_0__ int64 0 106k |
|---|---|---|---|---|---|---|---|
pythondev | help | If what you are asking for is an automated migration, well, that is unlikely | 2019-02-12T12:08:40.245800 | Clemmie | pythondev_help_Clemmie_2019-02-12T12:08:40.245800 | 1,549,973,320.2458 | 7,921 |
pythondev | help | Also chances are R is doing numerical/statistical work. R is better suited syntactically for that than php\ | 2019-02-12T12:09:35.246600 | Clemmie | pythondev_help_Clemmie_2019-02-12T12:09:35.246600 | 1,549,973,375.2466 | 7,922 |
pythondev | help | okay. so we are saying that R is more suitable than python.. are we? | 2019-02-12T12:10:42.247300 | Chet | pythondev_help_Chet_2019-02-12T12:10:42.247300 | 1,549,973,442.2473 | 7,923 |
pythondev | help | Not necessarily. Python is also excellent for numerical work | 2019-02-12T12:11:05.247700 | Clemmie | pythondev_help_Clemmie_2019-02-12T12:11:05.247700 | 1,549,973,465.2477 | 7,924 |
pythondev | help | you asked about php | 2019-02-12T12:11:18.248000 | Clemmie | pythondev_help_Clemmie_2019-02-12T12:11:18.248000 | 1,549,973,478.248 | 7,925 |
pythondev | help | then what is R better suited for? php I am using in backend | 2019-02-12T12:11:44.248600 | Chet | pythondev_help_Chet_2019-02-12T12:11:44.248600 | 1,549,973,504.2486 | 7,926 |
pythondev | help | R is well suited for numerical/statistical work. So is Python. So is Matlab and others | 2019-02-12T12:12:14.249200 | Clemmie | pythondev_help_Clemmie_2019-02-12T12:12:14.249200 | 1,549,973,534.2492 | 7,927 |
pythondev | help | Different strokes for different folks | 2019-02-12T12:12:27.249600 | Clemmie | pythondev_help_Clemmie_2019-02-12T12:12:27.249600 | 1,549,973,547.2496 | 7,928 |
pythondev | help | okay understood. But I have experienced that python processes faster than R. So if I want to make use of python instead of R, then from where do I start, can you help me with some resources? | 2019-02-12T12:14:56.251700 | Chet | pythondev_help_Chet_2019-02-12T12:14:56.251700 | 1,549,973,696.2517 | 7,929 |
pythondev | help | that's a very broad request... | 2019-02-12T12:15:19.252000 | Carlo | pythondev_help_Carlo_2019-02-12T12:15:19.252000 | 1,549,973,719.252 | 7,930 |
pythondev | help | Whats the best way to remove HTML markup from a string in python? For example, I have “’Freshpet® Select Slice” but it should be “Freshpet Select Slice”. However, a simple .replace() doesn’t work because there are different character numbers | 2019-02-12T12:16:36.253800 | Sherman | pythondev_help_Sherman_2019-02-12T12:16:36.253800 | 1,549,973,796.2538 | 7,931 |
pythondev | help | <@Sherman> those are HTML entities, this one's ® | 2019-02-12T12:18:41.254400 | Carlo | pythondev_help_Carlo_2019-02-12T12:18:41.254400 | 1,549,973,921.2544 | 7,932 |
pythondev | help | Is there a good way to strip all of those from a string and replace it with a blank? | 2019-02-12T12:18:56.254800 | Sherman | pythondev_help_Sherman_2019-02-12T12:18:56.254800 | 1,549,973,936.2548 | 7,933 |
pythondev | help | use regex? | 2019-02-12T12:19:56.255600 | Deon | pythondev_help_Deon_2019-02-12T12:19:56.255600 | 1,549,973,996.2556 | 7,934 |
pythondev | help | oh okay | 2019-02-12T12:20:11.256100 | Chet | pythondev_help_Chet_2019-02-12T12:20:11.256100 | 1,549,974,011.2561 | 7,935 |
pythondev | help | well you could always do some simple regex matching but you risk eliminating non-entities lol | 2019-02-12T12:20:12.256200 | Carlo | pythondev_help_Carlo_2019-02-12T12:20:12.256200 | 1,549,974,012.2562 | 7,936 |
pythondev | help | Ya thats the concern | 2019-02-12T12:20:19.256600 | Sherman | pythondev_help_Sherman_2019-02-12T12:20:19.256600 | 1,549,974,019.2566 | 7,937 |
pythondev | help | maybe remove everything that starts with '&' up to \s | 2019-02-12T12:20:50.257700 | Deon | pythondev_help_Deon_2019-02-12T12:20:50.257700 | 1,549,974,050.2577 | 7,938 |
pythondev | help | or whitespace | 2019-02-12T12:20:56.258100 | Deon | pythondev_help_Deon_2019-02-12T12:20:56.258100 | 1,549,974,056.2581 | 7,939 |
pythondev | help | Is there a big list of all of them? | 2019-02-12T12:20:57.258400 | Sherman | pythondev_help_Sherman_2019-02-12T12:20:57.258400 | 1,549,974,057.2584 | 7,940 |
pythondev | help | And I could just filter them all out | 2019-02-12T12:21:01.258600 | Sherman | pythondev_help_Sherman_2019-02-12T12:21:01.258600 | 1,549,974,061.2586 | 7,941 |
pythondev | help | <https://www.freeformatter.com/html-entities.html> | 2019-02-12T12:21:21.259400 | Carlo | pythondev_help_Carlo_2019-02-12T12:21:21.259400 | 1,549,974,081.2594 | 7,942 |
pythondev | help | good luck :wink: | 2019-02-12T12:21:25.259700 | Carlo | pythondev_help_Carlo_2019-02-12T12:21:25.259700 | 1,549,974,085.2597 | 7,943 |
pythondev | help | blech | 2019-02-12T12:21:34.260300 | Sherman | pythondev_help_Sherman_2019-02-12T12:21:34.260300 | 1,549,974,094.2603 | 7,944 |
pythondev | help | ```soup = BeautifulSoup(html, convertEntities=BeautifulSoup.HTML_ENTITIES)``` | 2019-02-12T12:21:38.260800 | Sherman | pythondev_help_Sherman_2019-02-12T12:21:38.260800 | 1,549,974,098.2608 | 7,945 |
pythondev | help | you could use a regex. I think `clean_text = re.sub(r'&#\d+;', ' ', input_string)` | 2019-02-12T12:21:39.261100 | Clemmie | pythondev_help_Clemmie_2019-02-12T12:21:39.261100 | 1,549,974,099.2611 | 7,946 |
pythondev | help | Someone suggested that | 2019-02-12T12:21:41.261200 | Sherman | pythondev_help_Sherman_2019-02-12T12:21:41.261200 | 1,549,974,101.2612 | 7,947 |
pythondev | help | <@Sherman> maybe try the solution posted here <https://stackoverflow.com/questions/753052/strip-html-from-strings-in-python/19730306>
it seems to strip tags and entities but you can modify it | 2019-02-12T12:21:48.261800 | Genaro | pythondev_help_Genaro_2019-02-12T12:21:48.261800 | 1,549,974,108.2618 | 7,948 |
pythondev | help | yeah beautifulsoup has stuff to deal with this | 2019-02-12T12:21:49.261900 | Carlo | pythondev_help_Carlo_2019-02-12T12:21:49.261900 | 1,549,974,109.2619 | 7,949 |
pythondev | help | <@Clemmie> that regex only catches entities passed by entity number | 2019-02-12T12:22:26.262600 | Carlo | pythondev_help_Carlo_2019-02-12T12:22:26.262600 | 1,549,974,146.2626 | 7,950 |
pythondev | help | there are things like &amp; too | 2019-02-12T12:22:39.263000 | Carlo | pythondev_help_Carlo_2019-02-12T12:22:39.263000 | 1,549,974,159.263 | 7,951 |
pythondev | help | I was assuming the all were based on the original question | 2019-02-12T12:22:45.263200 | Clemmie | pythondev_help_Clemmie_2019-02-12T12:22:45.263200 | 1,549,974,165.2632 | 7,952 |
pythondev | help | fair enough | 2019-02-12T12:22:51.263400 | Carlo | pythondev_help_Carlo_2019-02-12T12:22:51.263400 | 1,549,974,171.2634 | 7,953 |
pythondev | help | Said all the instances has different numbers | 2019-02-12T12:23:04.264100 | Clemmie | pythondev_help_Clemmie_2019-02-12T12:23:04.264100 | 1,549,974,184.2641 | 7,954 |
pythondev | help | Kk lemme try to beautifulSoup and <@Genaro> method, I’ll get back shortly | 2019-02-12T12:23:10.264300 | Sherman | pythondev_help_Sherman_2019-02-12T12:23:10.264300 | 1,549,974,190.2643 | 7,955 |
pythondev | help | Ugh, this is close, but this decodes it, is there any way to replace it with a blank?
```import html
def remove_html_entities(string):
cleaned = html.unescape(string)
return cleaned``` | 2019-02-12T12:36:06.264800 | Sherman | pythondev_help_Sherman_2019-02-12T12:36:06.264800 | 1,549,974,966.2648 | 7,956 |
pythondev | help | I guess I can build my own function and just have the list lol | 2019-02-12T12:38:56.265100 | Sherman | pythondev_help_Sherman_2019-02-12T12:38:56.265100 | 1,549,975,136.2651 | 7,957 |
pythondev | help | If all of your entity references are using the numerical form, the regex I posted above should work as a oneliner | 2019-02-12T12:41:18.265900 | Clemmie | pythondev_help_Clemmie_2019-02-12T12:41:18.265900 | 1,549,975,278.2659 | 7,958 |
pythondev | help | `clean_text = re.sub(r'&#\d+;', ' ', input_string)` or something very close to it | 2019-02-12T12:41:54.266600 | Clemmie | pythondev_help_Clemmie_2019-02-12T12:41:54.266600 | 1,549,975,314.2666 | 7,959 |
pythondev | help | The issue is (super edge case) for “Store SKU Number &#123456; Next store SKU Number &#67890;” | 2019-02-12T12:42:25.267200 | Sherman | pythondev_help_Sherman_2019-02-12T12:42:25.267200 | 1,549,975,345.2672 | 7,960 |
pythondev | help | Super unlikely, but could happen | 2019-02-12T12:42:43.267500 | Sherman | pythondev_help_Sherman_2019-02-12T12:42:43.267500 | 1,549,975,363.2675 | 7,961 |
pythondev | help | Oh, yup, that will get in the way | 2019-02-12T12:43:11.267800 | Clemmie | pythondev_help_Clemmie_2019-02-12T12:43:11.267800 | 1,549,975,391.2678 | 7,962 |
pythondev | help | The function was super easy, only 300 characters | 2019-02-12T12:43:23.268300 | Sherman | pythondev_help_Sherman_2019-02-12T12:43:23.268300 | 1,549,975,403.2683 | 7,963 |
pythondev | help | so now I just replace anything in the function with a blank | 2019-02-12T12:43:29.268600 | Sherman | pythondev_help_Sherman_2019-02-12T12:43:29.268600 | 1,549,975,409.2686 | 7,964 |
pythondev | help | Great, good solve! | 2019-02-12T12:43:42.268800 | Clemmie | pythondev_help_Clemmie_2019-02-12T12:43:42.268800 | 1,549,975,422.2688 | 7,965 |
pythondev | help | Thanks for the help though | 2019-02-12T12:44:04.269200 | Sherman | pythondev_help_Sherman_2019-02-12T12:44:04.269200 | 1,549,975,444.2692 | 7,966 |
pythondev | help | Hello all, I’m practicing my list comprehensions and there’s a bit of theory I just don’t understand. If i run the following ```for found in root.iterfind('xml_file_thing'):
for i, value in found.items():
print(value)``` I get a list of values ranging from ```0101 ... 0812``` which is the expected result. I... | 2019-02-12T13:09:15.269500 | Elvia | pythondev_help_Elvia_2019-02-12T13:09:15.269500 | 1,549,976,955.2695 | 7,967 |
pythondev | help | remove 'value for' .. what's the output of that? | 2019-02-12T13:49:21.271400 | Deon | pythondev_help_Deon_2019-02-12T13:49:21.271400 | 1,549,979,361.2714 | 7,968 |
pythondev | help | sorry remove 'value for i, vlaue in' | 2019-02-12T13:49:46.271700 | Deon | pythondev_help_Deon_2019-02-12T13:49:46.271700 | 1,549,979,386.2717 | 7,969 |
pythondev | help | hello, qq. I have an array of monthly values that I would like to aggregate to yearly values. for example an array of 36 months entries of 100 is turned to 3 year entries of [1200,1200,1200] | 2019-02-12T13:54:33.274100 | Deangelo | pythondev_help_Deangelo_2019-02-12T13:54:33.274100 | 1,549,979,673.2741 | 7,970 |
pythondev | help | how do I go about doing this and is pandas the way to do it? | 2019-02-12T13:55:04.274600 | Deangelo | pythondev_help_Deangelo_2019-02-12T13:55:04.274600 | 1,549,979,704.2746 | 7,971 |
pythondev | help | <@Britt> | 2019-02-12T13:58:33.274900 | Clemmie | pythondev_help_Clemmie_2019-02-12T13:58:33.274900 | 1,549,979,913.2749 | 7,972 |
pythondev | help | That takes advantage of slicing (splitting a list into smaller list by index) | 2019-02-12T13:59:39.275700 | Clemmie | pythondev_help_Clemmie_2019-02-12T13:59:39.275700 | 1,549,979,979.2757 | 7,973 |
pythondev | help | oh great | 2019-02-12T14:00:43.275900 | Deangelo | pythondev_help_Deangelo_2019-02-12T14:00:43.275900 | 1,549,980,043.2759 | 7,974 |
pythondev | help | I was just reading about the concept of Split, apply(sum) in Pandas. Do you think that's overkill for this task? | 2019-02-12T14:01:31.276800 | Deangelo | pythondev_help_Deangelo_2019-02-12T14:01:31.276800 | 1,549,980,091.2768 | 7,975 |
pythondev | help | yes, unless you have a huge number of months. Especially if you don’t need Pandas for anything else, installing and importing it just for this taks is huge overkill | 2019-02-12T14:02:19.277800 | Clemmie | pythondev_help_Clemmie_2019-02-12T14:02:19.277800 | 1,549,980,139.2778 | 7,976 |
pythondev | help | And for huge number of months, I mean all the months in recorded human history kind of numbers | 2019-02-12T14:02:45.278300 | Clemmie | pythondev_help_Clemmie_2019-02-12T14:02:45.278300 | 1,549,980,165.2783 | 7,977 |
pythondev | help | lol, not that much | 2019-02-12T14:03:09.278600 | Deangelo | pythondev_help_Deangelo_2019-02-12T14:03:09.278600 | 1,549,980,189.2786 | 7,978 |
pythondev | help | but this is eventually for a reporting service that will process data for up to 30 years in months, with lots of month to year conversions and the other way around | 2019-02-12T14:04:33.280100 | Deangelo | pythondev_help_Deangelo_2019-02-12T14:04:33.280100 | 1,549,980,273.2801 | 7,979 |
pythondev | help | Thats only a list of 360 elements. Should run basically instantaneously. The data processing time will likely dwarf the munging year <-> month | 2019-02-12T14:06:15.282000 | Clemmie | pythondev_help_Clemmie_2019-02-12T14:06:15.282000 | 1,549,980,375.282 | 7,980 |
pythondev | help | right, makes sense | 2019-02-12T14:06:39.282300 | Deangelo | pythondev_help_Deangelo_2019-02-12T14:06:39.282300 | 1,549,980,399.2823 | 7,981 |
pythondev | help | in your loop, what happens if you only get an array of 12 months. Doesn't it skip one year? | 2019-02-12T14:06:42.282500 | Deangelo | pythondev_help_Deangelo_2019-02-12T14:06:42.282500 | 1,549,980,402.2825 | 7,982 |
pythondev | help | and I think you meant `len(monthly) > 12` instead of `len(monthly > 12)` | 2019-02-12T14:07:24.283200 | Deangelo | pythondev_help_Deangelo_2019-02-12T14:07:24.283200 | 1,549,980,444.2832 | 7,983 |
pythondev | help | Yup. nut the last year is handled by the line after the loop. Strictly speaking you could do it without the length check like this (I did it the way I did because I forgot if slicing would throw an index erorr. It doesn’t so this is better)
```
monthly = <yourlist>
yearly = []
while len(monthly) > 0:
year, mo... | 2019-02-12T14:09:21.284500 | Clemmie | pythondev_help_Clemmie_2019-02-12T14:09:21.284500 | 1,549,980,561.2845 | 7,984 |
pythondev | help | very neat, just updated `yearly.append(year)` | 2019-02-12T14:14:34.285300 | Deangelo | pythondev_help_Deangelo_2019-02-12T14:14:34.285300 | 1,549,980,874.2853 | 7,985 |
pythondev | help | right, yeah | 2019-02-12T14:17:19.286000 | Clemmie | pythondev_help_Clemmie_2019-02-12T14:17:19.286000 | 1,549,981,039.286 | 7,986 |
pythondev | help | snippet feature doesn’t have checking :blush: | 2019-02-12T14:17:40.286500 | Clemmie | pythondev_help_Clemmie_2019-02-12T14:17:40.286500 | 1,549,981,060.2865 | 7,987 |
pythondev | help | checking like input validation? | 2019-02-12T14:19:14.286800 | Deangelo | pythondev_help_Deangelo_2019-02-12T14:19:14.286800 | 1,549,981,154.2868 | 7,988 |
pythondev | help | syntax, I think | 2019-02-12T14:19:29.287100 | Hiroko | pythondev_help_Hiroko_2019-02-12T14:19:29.287100 | 1,549,981,169.2871 | 7,989 |
pythondev | help | oh I see. fortunately the ide helps | 2019-02-12T14:19:46.287700 | Deangelo | pythondev_help_Deangelo_2019-02-12T14:19:46.287700 | 1,549,981,186.2877 | 7,990 |
pythondev | help | it’ll do highlighting but not actual checking | 2019-02-12T14:19:58.288100 | Hiroko | pythondev_help_Hiroko_2019-02-12T14:19:58.288100 | 1,549,981,198.2881 | 7,991 |
pythondev | help | Yup | 2019-02-12T14:21:07.289400 | Clemmie | pythondev_help_Clemmie_2019-02-12T14:21:07.289400 | 1,549,981,267.2894 | 7,992 |
pythondev | help | I have a similar need for scaling back a yearly array to monthly, so year array [y1, y2] breaks down to monthly array of 24 elements, but instead of each monthly value = yearly / 12, I need to use an allocation array that defines the percentage of allocation for each month of the year. a simple example would be given ... | 2019-02-12T14:25:56.293600 | Deangelo | pythondev_help_Deangelo_2019-02-12T14:25:56.293600 | 1,549,981,556.2936 | 7,993 |
pythondev | help | ```
alloc = [0.5, 0.5, 0,0,0,0,0,0,0,0,0,0]
v = 1200
monthly = [alloc[i] * v for i in range(12)]
``` | 2019-02-12T14:29:30.295200 | Yaeko | pythondev_help_Yaeko_2019-02-12T14:29:30.295200 | 1,549,981,770.2952 | 7,994 |
pythondev | help | ? | 2019-02-12T14:29:33.295400 | Yaeko | pythondev_help_Yaeko_2019-02-12T14:29:33.295400 | 1,549,981,773.2954 | 7,995 |
pythondev | help | None | 2019-02-12T14:29:51.295500 | Sasha | pythondev_help_Sasha_2019-02-12T14:29:51.295500 | 1,549,981,791.2955 | 7,996 |
pythondev | help | More generic, better solution. | 2019-02-12T14:30:24.296000 | Yaeko | pythondev_help_Yaeko_2019-02-12T14:30:24.296000 | 1,549,981,824.296 | 7,997 |
pythondev | help | nice, let me check it | 2019-02-12T14:36:04.296400 | Deangelo | pythondev_help_Deangelo_2019-02-12T14:36:04.296400 | 1,549,982,164.2964 | 7,998 |
pythondev | help | works perfectly | 2019-02-12T14:38:23.296900 | Deangelo | pythondev_help_Deangelo_2019-02-12T14:38:23.296900 | 1,549,982,303.2969 | 7,999 |
pythondev | help | now instead of allocation[i % 12], | 2019-02-12T14:38:40.297300 | Deangelo | pythondev_help_Deangelo_2019-02-12T14:38:40.297300 | 1,549,982,320.2973 | 8,000 |
pythondev | help | I think it would be best to have it as a separate function because, | 2019-02-12T14:39:04.297800 | Deangelo | pythondev_help_Deangelo_2019-02-12T14:39:04.297800 | 1,549,982,344.2978 | 8,001 |
pythondev | help | as `get_allocation(allocation, index)` | 2019-02-12T14:39:22.298200 | Deangelo | pythondev_help_Deangelo_2019-02-12T14:39:22.298200 | 1,549,982,362.2982 | 8,002 |
pythondev | help | because the allocation array can be defined for up to five years with the last year (12 values) applying to subsequent years. so if I have an allocation array of 24 values, the last 12 values apply to year 2, year 3...etc | 2019-02-12T14:40:42.299800 | Deangelo | pythondev_help_Deangelo_2019-02-12T14:40:42.299800 | 1,549,982,442.2998 | 8,003 |
pythondev | help | I got it | 2019-02-12T14:55:53.300200 | Deangelo | pythondev_help_Deangelo_2019-02-12T14:55:53.300200 | 1,549,983,353.3002 | 8,004 |
pythondev | help | ```
allocation = [
50,50,0,0,0,0,0,0,0,0,0,0,
25,25,25,25,0,0,0,0,0,0,0,0,
]
yearly = [1200, 1200,1200]
monthly = []
def get_allocation(allocation, index):
last_allocation = allocation[-12:]
return allocation[index] if index < len(allocation) else last_allocation[index % 12]
for i in range(len(yearly) * 12... | 2019-02-12T14:56:00.300400 | Deangelo | pythondev_help_Deangelo_2019-02-12T14:56:00.300400 | 1,549,983,360.3004 | 8,005 |
pythondev | help | output:
```
monthly array: [
600, 600, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
300, 300, 300, 300, 0, 0, 0, 0, 0, 0, 0, 0,
300, 300, 300, 300, 0, 0, 0, 0, 0, 0, 0, 0
]
``` | 2019-02-12T14:56:37.300900 | Deangelo | pythondev_help_Deangelo_2019-02-12T14:56:37.300900 | 1,549,983,397.3009 | 8,006 |
pythondev | help | forgot to divide percents by 100 | 2019-02-12T14:58:16.301900 | Deangelo | pythondev_help_Deangelo_2019-02-12T14:58:16.301900 | 1,549,983,496.3019 | 8,007 |
pythondev | help | Hi all - I have a virtual environment for my Django app and I want to upgrade my `social-auth-app-django` package to the latest version to fix the Google+ issues outlined here: <https://github.com/python-social-auth/social-core/issues/300> | 2019-02-12T15:55:49.303200 | Maricruz | pythondev_help_Maricruz_2019-02-12T15:55:49.303200 | 1,549,986,949.3032 | 8,008 |
pythondev | help | When I do `pip install social-auth-app-django -U` to upgrade to the latest version, it upgrades successfully, but the code in my `myvenv/Lib/site-packages/social_core/backends/google.py` doesn't seem to have changed. | 2019-02-12T15:56:54.304400 | Maricruz | pythondev_help_Maricruz_2019-02-12T15:56:54.304400 | 1,549,987,014.3044 | 8,009 |
pythondev | help | Also did `pip install social-auth-core -U` | 2019-02-12T15:57:15.304700 | Maricruz | pythondev_help_Maricruz_2019-02-12T15:57:15.304700 | 1,549,987,035.3047 | 8,010 |
pythondev | help | (`myvenv` is the name of my virtual environment) | 2019-02-12T15:57:31.305100 | Maricruz | pythondev_help_Maricruz_2019-02-12T15:57:31.305100 | 1,549,987,051.3051 | 8,011 |
pythondev | help | Any ideas? | 2019-02-12T15:57:43.305300 | Maricruz | pythondev_help_Maricruz_2019-02-12T15:57:43.305300 | 1,549,987,063.3053 | 8,012 |
pythondev | help | <@Maricruz> try `python -m pip` instead of `pip` | 2019-02-12T15:59:20.305900 | Ashley | pythondev_help_Ashley_2019-02-12T15:59:20.305900 | 1,549,987,160.3059 | 8,013 |
pythondev | help | <@Ashley> didn't make a difference unfortunately | 2019-02-12T16:22:24.306400 | Maricruz | pythondev_help_Maricruz_2019-02-12T16:22:24.306400 | 1,549,988,544.3064 | 8,014 |
pythondev | help | `Requirement already up-to-date: social-auth-core` | 2019-02-12T16:22:39.306700 | Maricruz | pythondev_help_Maricruz_2019-02-12T16:22:39.306700 | 1,549,988,559.3067 | 8,015 |
pythondev | help | what do you get when you enter `which python`? | 2019-02-12T16:22:57.307000 | Ashley | pythondev_help_Ashley_2019-02-12T16:22:57.307000 | 1,549,988,577.307 | 8,016 |
pythondev | help | ahhhhh | 2019-02-12T16:23:14.307200 | Maricruz | pythondev_help_Maricruz_2019-02-12T16:23:14.307200 | 1,549,988,594.3072 | 8,017 |
pythondev | help | `/c/users/ehofmann/desktop/django_projects/ops_dashboard/myvenv/Scripts/python` | 2019-02-12T16:23:28.307400 | Maricruz | pythondev_help_Maricruz_2019-02-12T16:23:28.307400 | 1,549,988,608.3074 | 8,018 |
pythondev | help | that's actually my second project - I can't figure out why my first project's virtual environment is pointing there.... | 2019-02-12T16:23:48.307900 | Maricruz | pythondev_help_Maricruz_2019-02-12T16:23:48.307900 | 1,549,988,628.3079 | 8,019 |
pythondev | help | thank you! | 2019-02-12T16:23:50.308200 | Maricruz | pythondev_help_Maricruz_2019-02-12T16:23:50.308200 | 1,549,988,630.3082 | 8,020 |
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