python_utils | My common use of python

 by   Jayhello Python Version: Current License: No License

kandi X-RAY | python_utils Summary

kandi X-RAY | python_utils Summary

python_utils is a Python library. python_utils has no bugs, it has no vulnerabilities and it has low support. However python_utils build file is not available. You can download it from GitHub.

1.This project is my common use/record of python. For some utils if we don't use for a long time,we may forget it. so I upload it to github.When I need to use some utils,I can get it directily from this project avoiding research form google.
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              python_utils has a low active ecosystem.
              It has 39 star(s) with 15 fork(s). There are 3 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              python_utils has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of python_utils is current.

            kandi-Quality Quality

              python_utils has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              python_utils 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.

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              python_utils releases are not available. You will need to build from source code and install.
              python_utils has no build file. You will be need to create the build yourself to build the component from source.
              python_utils saves you 2845 person hours of effort in developing the same functionality from scratch.
              It has 6152 lines of code, 699 functions and 179 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed python_utils and discovered the below as its top functions. This is intended to give you an instant insight into python_utils implemented functionality, and help decide if they suit your requirements.
            • Train and evaluate the model
            • Create a baseline model
            • Pre - encode training data
            • Return information about a user
            • Shortcut for HTTP 404 response
            • This function is used for debugging
            • Download images from google images
            • Test main thread
            • Join all other threads
            • Wrap counter
            • Increment counter value
            • Handle GET
            • Send content to the client
            • Test dummy thread pool
            • Return a new process pool
            • Test draw function
            • Draw the result of the optimizer
            • Plot the sigmoid
            • Generate training data
            • Test a multi thread
            • Create a histogram plot
            • Test the log transform
            • Wizard
            Get all kandi verified functions for this library.

            python_utils Key Features

            No Key Features are available at this moment for python_utils.

            python_utils Examples and Code Snippets

            No Code Snippets are available at this moment for python_utils.

            Community Discussions

            QUESTION

            How can I use _RANDOM_SEED in colab?
            Asked 2021-Sep-19 at 07:46

            I was trying to use _RANDOM_SEED from python_utils module but I had this error

            AttributeError: module 'python_utils' has no attribute '_RANDOM_SEED

            ...

            ANSWER

            Answered 2021-Sep-19 at 07:46

            I think you don't import random.

            you can use random

            Source https://stackoverflow.com/questions/69241322

            QUESTION

            Unable to import Utils and Generators package
            Asked 2021-Apr-16 at 07:31

            I already referred these posts 1, 2, 3, 4, 5

            but am still unable to fix this issue. Might be because the other issues are too technical.

            I did the below

            a) I launched the jupyter notebook (save the file in Desktop)

            b) Imported regular packages like Pandas, Numpy, Scipy etc.

            c) Later I tried importing Utils and Generators package but it threw error.

            ...

            ANSWER

            Answered 2021-Apr-16 at 07:31

            import statements are case sensitive while the pip is case insensitive.

            According to PEP-0426 which describes a mechanism for publishing and exchanging metadata related to Python distributions/packages,

            All comparisons of distribution names MUST be case insensitive, and MUST consider hyphens and underscores to be equivalent.

            So technically pip install Utils, pip install UTILS or pip install utils will all install the same distribution/package named utils.

            To fix the problem you have to change your code from

            Source https://stackoverflow.com/questions/67109560

            QUESTION

            DataGenerator does not find the Files in Google Drive
            Asked 2020-Jul-20 at 16:39

            Using the code here https://keras.io/api/utils/python_utils/#sequence-class, I coded a custom DataGenerator.

            ...

            ANSWER

            Answered 2020-Jul-20 at 16:39

            This happened due to a Google Drive TimeOut. I solved this issue by writing in my console as recommended here: FileNotFoundError: No such file: -> Error occuring due to TimeOut of Google Drive?

            Source https://stackoverflow.com/questions/62451843

            QUESTION

            How to apply DataGenerator to train and validation data?
            Asked 2020-Jun-18 at 14:18

            Using the code here https://keras.io/api/utils/python_utils/#sequence-class, I coded a custom DataGenerator.

            ...

            ANSWER

            Answered 2020-Jun-18 at 14:18

            What you wrote is basically correct. Don't forget to pass the batch_size parameter to your DataGenerator.

            On the other hand, the epochs parameter (as you mentioned in comment) should be passed to model.fit_generator (better yet, use model.fit instead because the fit_generator method is deprecated). If you don't pass it the default value of epochs would be 1.

            Also please check out this tutorial on how to use the Sequence class (you can jump to the bottom where the DataGenerator is used). In this tutorial, a couple of parameters other than batch_size are passed to DataGenerator because they are defined as input of the __init__ method. You don't have to pass them as long as you don't define them.

            Source https://stackoverflow.com/questions/62450378

            QUESTION

            Running python3 with debug set to OFF with -O
            Asked 2020-Feb-22 at 12:04

            If I run python3 -O on bash like:

            ...

            ANSWER

            Answered 2020-Feb-22 at 12:04

            You need to pass -O to Python, not to your script. You do so by putting the switch before your script file on the command-line:

            Source https://stackoverflow.com/questions/60351790

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

            Vulnerabilities

            No vulnerabilities reported

            Install python_utils

            You can download it from GitHub.
            You can use python_utils like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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            https://github.com/Jayhello/python_utils.git

          • CLI

            gh repo clone Jayhello/python_utils

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            git@github.com:Jayhello/python_utils.git

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