tqdm.github.io | A fast , extensible progress bar for Python and CLI | Frontend Framework library

 by   tqdm HTML Version: Current License: No License

kandi X-RAY | tqdm.github.io Summary

kandi X-RAY | tqdm.github.io Summary

tqdm.github.io is a HTML library typically used in User Interface, Frontend Framework, React applications. tqdm.github.io has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

Raw code hosting for Automatically rendered from src. Please use the src branch for pull requests/contributions.
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              tqdm.github.io has a low active ecosystem.
              It has 13 star(s) with 0 fork(s). There are 4 watchers for this library.
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              It had no major release in the last 6 months.
              There are 0 open issues and 3 have been closed. On average issues are closed in 245 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of tqdm.github.io is current.

            kandi-Quality Quality

              tqdm.github.io has 0 bugs and 0 code smells.

            kandi-Security Security

              tqdm.github.io has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              tqdm.github.io code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              tqdm.github.io does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
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              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              tqdm.github.io releases are not available. You will need to build from source code and install.

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            tqdm.github.io Key Features

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            tqdm.github.io Examples and Code Snippets

            No Code Snippets are available at this moment for tqdm.github.io.

            Community Discussions

            QUESTION

            How to handle irregular updates with tqdm
            Asked 2021-Nov-01 at 14:21

            I'm using tqdm for showing a progress bar while something is loading. While some steps are quite fast, others can take several seconds or even minutes. What I'm experiencing is that the estimated remaining time is also jumping between minutes (if a few quick steps occurred) and hours (after a few slow steps). The truth that I would like to show to the user is somewhere in-between.

            I'm wondering if tqdm has an option to tell that the remaining time should be computed as a global average? Say if it took 10 minutes for 100 out of 400 steps (regardless if the last couple of steps were fast or slow), that the estimated remaining time is simply 40 minutes?

            Is smoothing=0 the parameter to set in these cases? The documentation is a bit confusing, as it states

            smoothing: float, optional

            Exponential moving average smoothing factor for speed estimates (ignored in GUI mode). Ranges from 0 (average speed) to 1 (current/instantaneous speed) [default: 0.3].

            Is that just the "speed"? And does the estimated remaining time change accordingly?

            ...

            ANSWER

            Answered 2021-Nov-01 at 14:21

            I've tested the following code and smoothing=0 is indeed the parameter to go.

            Consider the following snippet and watch how the progress bar is more helpful with smoothing=0 when updates are highly irregular:

            Source https://stackoverflow.com/questions/69798271

            QUESTION

            tqdm fails when detecting Jupyter notebook
            Asked 2021-May-28 at 21:58

            I'm using tqdm to display a progress bar for my code. Sometimes I use the code in the terminal and sometimes I use the code in a Jupyter Notebook.

            Unless I'm mistaken (probably am or I wouldn't be writing this question), tqdm is supposed to automatically determine if I'm in the Jupyter Notebook or in the terminal by using this code:

            ...

            ANSWER

            Answered 2021-May-28 at 21:58

            If you are editing the notebook in the JupyterLab, you should install jupyterlab_widgets.

            Source https://stackoverflow.com/questions/67745536

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install tqdm.github.io

            You can download it from GitHub.

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