On 29/11/2020 20:56, Gabor Urban wrote:
Hi,
I am facing an issue I was not able to solve yet. I have a class saving
messages to a file. The relevant code is:
import OS
if you're wanting the Python Standard Library, this should not be in
upper-case
import sys
are these two imports
>
> My VPN keeps dropping and can not run Jupyter Notebook as it is.
>
You don't provide a lot of detail, but this seems similar to the kind of
flaky networking we used to deal with in the Before Times. Simply
connecting directly to a host over the Internet was often plagued by
disconnects. For th
Shaozhong SHI wrote at 2020-11-28 23:29 +:
>I keep getting the following error when I use engine =
>create_engine(logging in details to postgres)
>df.to_sql('table_name', and etc.)
>
>
>OperationalError: (psycopg2.OperationalError) SSL connection has been
>closed unexpectedly
SSL works as foll
Gabor Urban wrote at 2020-11-29 08:56 +0100:
>I am facing an issue I was not able to solve yet. I have a class saving
>messages to a file. The relevant code is:
>
>
>
>import OS
>import sys
>
>class MxClass:
>
>def __init__(self, fName, fMode,):
>self.fileName = fName
>s
On 2020-11-29 18:33, Dennis Lee Bieber wrote:
On Sat, 28 Nov 2020 17:28:50 -0600, Larry Burford
declaimed the following:
when trying to run the tutorial program standardplot.py I get a msg that
says my numpy won't pass a sanity check due to a problem in the Win runtime
Wait for M
Hi
https://www.lfd.uci.edu/~gohlke/pythonlibs/#numpy also has a numpy wheel
1.19.4+vanilla‑cp39‑cp39‑win_amd64.whl
"Vanilla is a minimal distribution, which does not include any optimized
BLAS libray or C runtime DLLs."
Have not tried this.
cheers
Malcolm
On 30/11/2020 7:19 am, MRAB wrote
What happens if you execute this from a shell prompt on a system with
openssl installed?
openssl s_client -connect host.com:443
(replacing host.com with your server's hostname and 443 with your port of
interest)
On Sat, Nov 28, 2020 at 3:30 PM Shaozhong SHI
wrote:
> Hi,
>
> I keep getting the
>
> The Box API is noisy ... very helpful for diagnosing, and yet for
> production code I'd like less noise.
>
> I tried this:
>
> warnings.filterwarnings(
> action='ignore',
> # category=Warning,
> # module=r'boxsdk.*'
> )
>
> but I still see this:
>
> WARNING:boxsdk.network.default_ne
Hi guys,
I tried to solve the problem once again. I have inserted some print
statements the check the variables.
The actual code (naplo.py) is copy-pasted here:
class Naplo:
def __init__(self, pNeve, pMeret, pMode = 'a'):
self.logNev = pNeve
self.meret = pMeret
On Mon, Nov 30, 2020 at 8:37 AM Gabor Urban wrote:
> class Naplo:
> def __del__(self):
> if self.sor != 0:
> if self.start:
> trc = open(self.logNev,self.startMode)
> else:
> trc = open(self.logNev,self.mode)
> for idx
On 30/11/2020 10:36, Gabor Urban wrote:
Hi guys,
I tried to solve the problem once again. I have inserted some print
statements the check the variables.
The actual code (naplo.py) is copy-pasted here:
Thanks = helpful
+1 @Chris' response!
Meantime, what happens if you start python, and ent
On 11/29/20, Chris Angelico wrote:
>
> This seems like a really REALLY bad idea. You're putting a lot of work
> into your __del__ function, and that's not getting called until
> everything's shutting down. (Also, xrange doesn't exist, hence the
> "exception ignored" thing.)
>
> Avoid putting this
Using the Box API:
print(source_file.content())
returns
b'First Name,Last Name,Email Address,Company,Position,Connected
On\nPeter,van
(and more data, not pasted here)
Trying to read it via:
with io.TextIOWrapper(source_file.content(), encoding='utf-8') as text_file:
reader = csv.DictRead
On 2020-11-30 01:31, Jason Friedman wrote:
Using the Box API:
print(source_file.content())
returns
b'First Name,Last Name,Email Address,Company,Position,Connected
On\nPeter,van
(and more data, not pasted here)
Trying to read it via:
with io.TextIOWrapper(source_file.content(), encoding=
>
> csv.DictReader appears to be happy with a list of strings representing
> the lines.
>
> Try this:
>
> contents = source_file.content()
>
> for row in csv.DictReader(contents.decode('utf-8').splitlines()):
> print(row)
>
Works great, thank you! Question ... will this form potentially use l
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