Jun 6, 2014 · As the aforementioned RFC does not include any reference of encoding spaces as +, I guess using %20 is the way to go today. For example, "%20" is the percent-encoding for the binary octet "00100000" (ABNF: %x20), which in US …

Dec 14, 2019 · example, "%20" is the percent-encoding for the binary octet "00100000" (ABNF: %x20), which in US-ASCII ...

Nov 21, 2016 · In your case %20 is immediately recognisable as a whitespace character - while not really having any meaning in a URI it is encoded in order to avoid breaking the string into multiple "parts". Don't get me wrong, regex is the bomb !

20 views Runtime polymorphism design, with derived class objects as members of another class I'd like to provide users of my C++ (17) library with abstract base classes, for example, class Base { public: virtual void mandatory_method() = 0; }; where users are encouraged to create their ...

Commented Apr 11, 2017 at 20:56 i used to know a small sql server set up .exe file many many years ago. I could use it on access and run sample sql server database.

Commented Mar 20, 2021 at 21:11 2 @HaPsantran, r'{}'.format(my_variable) and '{}'.format(my_variable) are exactly the same thing; the difference between them accomplishes no benefit, because {} contains no characters with parsing that's different between raw and conventional interpretation.

import matplotlib.pyplot as plt plt.rcParams["figure.figsize"] = (20,3) This is very useful when you plot inline (e.g., with IPython Notebook). As asmaier noticed, it is preferable to not put this statement in the same cell of the imports statements. To reset the global figure size back to default for subsequent plots:

answered Sep 20, 2015 at 7:08. ankitr ankitr. 6,182 8 8 gold badges 48 48 silver badges 67 67 bronze ...

Nov 13, 2009 · I have upvote because during writing in C++ for 10+ years I have never seen the definition of pi, seems C++20 fixes the issue. "solution without defining it manually." - is stupid, you can do whatever you want.

Nov 16, 2012 · The best way to do this in Pandas is to use drop:. df = df.drop('column_name', axis=1) where 1 is the axis number (0 for rows and 1 for columns.)