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Good PHP ORM Library?
...roducts'); // Automatically reads the above schema
$product->product_id=123;
$product->description='Sofa bed';
$product->save(); // ORM knows it's a new record
// Retrieve
$product->load('product_id=123');
echo $product->description;
// Update
$product->description='A better sofa...
How to define Gradle's home in IDEA?
... "Use gradle 'wrapper' task configuration"
– Cloudish123
Nov 9 '18 at 14:23
@AndrewGrimm In my case this radio button ...
Check whether a string matches a regex in JS
...{5,})$/.test('abc12')); // true
console.log(/^([a-z0-9]{5,})$/.test('abc123')); // true
...and you could remove the () from your regexp since you've no need for a capture.
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Does “\d” in regex mean a digit?
I found that in 123 , \d matches 1 and 3 but not 2 . I was wondering if \d matches a digit satisfying what kind of requirement? I am talking about Python style regex.
...
How do I verify jQuery AJAX events with Jasmine?
...est to the correct URL", function() {
spyOn($, "ajax");
getProduct(123);
expect($.ajax.mostRecentCall.args[0]["url"]).toEqual("/products/123");
});
function getProduct(id) {
$.ajax({
type: "GET",
url: "/products/" + id,
contentType: "application/json; charset...
App Inventor 2 接入腾讯云 CloudBase：让你的 App 瞬间拥有专业级后端能力...
...……你只需要关注业务逻辑。
而 App Inventor 中文网（fun123.cn）开发的 CloudBase 拓展，把这些能力封装成了 App Inventor 的积木块，拖拖拽拽就能调用。作为中文网自研且重点打造的专业级后端接入方案，此拓展将免费开放给所有...
How to convert an IPv4 address into a integer in C#?
... I see the issue. Repeated numbers such as 1.1.1.1, 2.2.2.2, 123.123.123.123 always yield the same result. For posterity, see updated fiddle: dotnetfiddle.net/aR6fhc
– Jesse
Mar 9 '18 at 18:30
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getting date format m-d-Y H:i:s.u from milliseconds
...es not work on all locales correctly. Some countries like Germany write "0,1234" or "0.1234" instead of ".1234", therefore your code gives following output for me: 2012-07-08 11:14:15.0.889342
– Daniel Marschall
Apr 18 at 13:14
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How to store a dataframe using Pandas
...
Pickle works good!
import pandas as pd
df.to_pickle('123.pkl') #to save the dataframe, df to 123.pkl
df1 = pd.read_pickle('123.pkl') #to load 123.pkl back to the dataframe df
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Splitting on first occurrence
...
>>> s = "123mango abcd mango kiwi peach"
>>> s.split("mango", 1)
['123', ' abcd mango kiwi peach']
>>> s.split("mango", 1)[1]
' abcd mango kiwi peach'
...