I've trying to create an endpoint in my API which return the youngest and oldest person from my database using mongodb e mongoose. My database looks like that:
I use OCR technology and recognizing date from national id card of Taiwan. My issue is that this date format is different than normal as below example 52年
I'm struggling with this small snippet: import time from datetime import datetime start = "2022-05-14T10:00:00" start_date = datetime.fromisoformat(start) star
I use the layer2 cloud connector to sync between Sharepoint DB (right) and SQL Server database (left). I sync from right to left only. I make a dynamic column o
>>> import pytz >>> pytz.timezone('Asia/Hong_Kong') <DstTzInfo 'Asia/Hong_Kong' LMT+7:37:00 STD> A seven hour and 37 minute offset? Th
I'm working on an appointment booking React app where a teacher can set their virtual office hours in the form of a time slot. let availability = ["09:00", "17:
I made powershell script that [1] accepts 2 arguments (aka parameters), [2] changes a file's modified date & time, and [3] writes something to host. The fo
Having trouble with my Android project here trying to convert a string of DateTime into an actual DateTime object. here's the code I wrote: string strDateTime =
I have a data frame with the date/time passed as "parse_dates" and then set as the index column for the data frame. Flow Enter Leave
I am receiving the input date as below. 2022-05-05 18:08:13.311951 +0:00 And I am trying to convert this to below format which follows ISO8601 format. 2022-05-
I want to store a DateTimeFormatOptions for date.toLocaleString() to use in multiple places in my app. I defined it like: export const timeFormat = { month: 'nu
Let it be the following Python Panda DataFrame: | ID | date | direction | country_ID | |-----------|-------------------------|----
My datetime looks like this: date_time = "2022-02-17 08:29:36.345374" I want to convert this to another timezone, the API which I am using have a info of for
data_df.loc[data_df['hotelID'] == sqlIDs[neededId] & to_integer(df.iloc[row, 6]) >= to_integer(MostRecent)] This is the snippet that keeps getting me th
I have the following code, where I want to determine if a datetime object exists in a data frame. Here is the code: df_grid['Date'] = pd.to_datetime(df_grid['Da
I'm using time_point the first time. I want to parse datetime from string and found a difference when returning back to string from 1 hour. std::chrono::system_
I am trying to use the ParquetSharp library (https://github.com/G-Research/ParquetSharp) to write some Parquet files from an SQL server database. As the origina
As stated in the question I am attempting to do a date comparison for tasks that are done within a specific date range. My model has a boolean called "Done" and
I'm trying to calculate the rolling average of a column of datetime objects. In my scenario, the input data are the last day below freezing each year for ~100 y
if for example I have a string like this import datetime as datetime string = "Hello todays date is 11/02/2022 thanks" How may I use datetime to extract just t