download | dowanload 多线程下载 断点下载，简单好用的下载工具 使用原生HttpUrlConnection

• In your script, the values are put to the Spreadsheet using appendRow in the loops. In this case, the process cost will be high. Ref And also, in this case, after the values were put to the Spreadsheet, it is required to sort the sheet.
• So, in this answer, I would like to propose the following flow.
  1. Retrieve the file list and put to an array.
  2. Sort the array by the file size.
  3. Put the array to the Spreadsheet.

When above points are reflected to your script, it becomes as follows.

Why do I name projects with a website in the path?

If your package has the exact same import path as someone else's package, then someone will have a hard time trying to use both packages in the same project because the import paths are not unique. So long as everyone uses a string equal to a URL that they effectively "own", such as your GitHub account (or actually own, such as your own domain), then these name collisions will not occur (excepting the fact that ownership of URLs may change over time).

It also makes it easier to go get your project, since the host location is part of the import string. Every source file that uses the package also tells you where to get it from. That is a nice property to have.

Where do I initialize git?

Your project should have some root folder that contains everything in the project, and nothing outside of the project. Initialize git in this directory. It's also common to initialize your Go module here, if it's a Go project.

You may be restricted on where to put the git root by where you're trying to host the code. For example, if hosting on GitHub, all of the code you push has to go inside a repository. This means that you can put your git root in a higher directory that contains all your repositories, but there's no way (that I know of) to actually push this to the remote. Remember that your local file system is not the same as the remote host's. You may have a local folder called github.com/myname/, but that doesn't mean that the remote end supports writing files to such a location.

You can do this as a reduction over foldernames using getattr to dynamically get the next attribute.

I think you need to take the actual raw strings of JSON data and convert them into a list of objects (dicts).

TCP/IP connections are designed to be long-lived streaming connections (built on top of the out-of-order, no-guarantee, packet-based IP protocol).

That means that is.read(bytes) does exactly what the spec says it will: It will wait until at least 1 byte is available, OR the 'end of stream' signal comes in. As long as neither occurs (no bytes arrive, but the stream isn't closed), it will dutifully block. Forever if it has to.

The solution is to either [A] pre-send the size of the file, and then adjust the loop to just exit once you've received that amount of bytes, or [B] to close the stream.

To close the stream, close the socket. It kinda sounds like you don't wanna do that (that you are multiplexing multiple things over the stream, i.e. that after transfering a file, you may then send other commands).

So, option A, that sounds better. However, option A has as a prerequisite that you know how many bytes are going to come out of inputStream. If it's a file, that's easy, just ask for its size. If it's streamed data, that would require that, on the 'upload code side', you first stream the whole thing into a file and only then stream it over the network which is unwieldy and potentially inefficient.

If you DO know the size, it would look something like (and I'm going to use newer APIs here, you're using some obsolete, 20 year old outdated stuff):

Try changing your app.UseEndpoints( endpoints => ...) line, in your Configure() method to the following:

The way I did was the following,

First we get the the time we want to remove from the dataset, that is 15:30:00 in this case.

Since the Datetime column is in the datetime format, we cannot compare the time as strings. So we convert the given time in the datetime.time() format.

rm_time = dt.time(15,30)

With this, we can go about using the DataFrame.drop()

df.drop(df[df.Datetime.dt.time == rm_time].index)

If the parent folder is api and a child is greek, then what you need is

1. An __init__.py file in the api folder
2. Then you can do from api import greek or from api.greek import *

Updating my response since original post has been updated and a directory structure (different from earlier post) provided

1. Based on your updated directory structure, I do not believe you need the __init___.py.
2. It seems you need a function or class called alphabet which is in greek.py. You should just do import greek and then to use alphabet, you do greek.alphabet