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What is “2's Complement”?
...e to think of the numbers in binary.
It basically says,
for zero, use all 0's.
for positive integers, start counting up, with a maximum of 2(number of bits - 1)-1.
for negative integers, do exactly the same thing, but switch the role of 0's and 1's (so instead of starting with 0000, start with 1111...
Why is a round-trip conversion via a string not safe for a double?
...mber->precision = precision;
if (((FPDOUBLE*)&value)->exp == 0x7FF) {
number->scale = (((FPDOUBLE*)&value)->mantLo || ((FPDOUBLE*)&value)->mantHi) ? SCALE_NAN: SCALE_INF;
number->sign = ((FPDOUBLE*)&value)->sign;
number->digits[0] =...
User recognition without cookies or local storage
...
+350
Introduction
If I understand you correctly, you need to identify a user for whom you don't have a Unique Identifier, so you want to f...
MySQL一次主从数据不一致的问题解决过程 - 数据库(内核) - 清泛网 - 专注C/...
...的数据补上
下面是能想到和找到的几个方案
1 从新从0开始同步，虽然对主库的使用没有影响，但是那么大的数据量，对性能，网络影响有点大，数据丢失的应该很少
2 主库dump数据，锁库，然后同步，不好。 影响业务使用 ...
Can dplyr package be used for conditional mutating?
...
220
Use ifelse
df %>%
mutate(g = ifelse(a == 2 | a == 5 | a == 7 | (a == 1 & b == 4), 2,
...
pandas dataframe columns scaling with sklearn
...;> scaler = MinMaxScaler()
>>> dfTest = pd.DataFrame({'A':[14.00,90.20,90.95,96.27,91.21],
'B':[103.02,107.26,110.35,114.23,114.68],
'C':['big','small','big','small','small']})
>>> dfTest[['A', 'B']] = scaler.fit_transform(...
Define a lambda expression that raises an Exception
...
170
There is more than one way to skin a Python:
y = lambda: (_ for _ in ()).throw(Exception('fooba...
Open Redis port for remote connections
...access on the redis server?
Before (file /etc/redis/redis.conf)
bind 127.0.0.1
After
bind 0.0.0.0
and run sudo service redis-server restart to restart the server. If that's not the problem, you might want to check any firewalls that might block the access.
Important: If you don't use a firew...
How can I map True/False to 1/0 in a Pandas DataFrame?
... that has boolean True/False values, but for further calculations I need 1/0 representation. Is there a quick pandas/numpy way to do that?
...
Remap values in pandas column with a dict
...
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