learn-python | 📚 Playground and cheatsheet for learning Python. Collection of Python scripts that are split by top | Learning library

 by   trekhleb Python Version: Current License: MIT

kandi X-RAY | learn-python Summary

kandi X-RAY | learn-python Summary

learn-python is a Python library typically used in Tutorial, Learning applications. learn-python has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. You can download it from GitHub.

Playground and cheatsheet for learning Python. Collection of Python scripts that are split by topics and contain code examples with explanations.

            kandi-support Support

              learn-python has a medium active ecosystem.
              It has 14819 star(s) with 2466 fork(s). There are 745 watchers for this library.
              It had no major release in the last 6 months.
              There are 5 open issues and 30 have been closed. On average issues are closed in 34 days. There are 9 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of learn-python is current.

            kandi-Quality Quality

              learn-python has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              learn-python is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              learn-python releases are not available. You will need to build from source code and install.
              Build file is available. You can build the component from source.
              Installation instructions are not available. Examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed learn-python and discovered the below as its top functions. This is intended to give you an instant insight into learn-python implemented functionality, and help decide if they suit your requirements.
            • Find Fibonacci at a given position .
            • Return Fibonacci smaller than limit .
            • Read from AIF file .
            • Read from WAV file .
            • Return the echo function
            • Reverse effect
            Get all kandi verified functions for this library.

            learn-python Key Features

            No Key Features are available at this moment for learn-python.

            learn-python Examples and Code Snippets

            Pythondot img1Lines of Code : 321dot img1License : Weak Copyleft (LGPL-3.0)
            copy iconCopy
            if __name__ == "__main__":
                def set_python_code_dir(script):
                    import os
                    import sys
                    python_code_dir = os.path.dirname(os.path.realpath(script))
                    python_code_dir = os.path.dirname  
            Pythondot img3Lines of Code : 109dot img3License : Weak Copyleft (LGPL-3.0)
            copy iconCopy
            import PySimpleGUI as sg
            def draw_points(points, connections, canvas: sg.Graph):
                for p in points:
                    canvas.draw_circle(p, 2, 'black')
                for c in connections:
                    canvas.draw_line(c[0], c[1], 'red')
            def find_closest_point(xy, poin  

            Community Discussions


            Scikit-learn cross_val_score throws ValueError: The first argument to `Layer.call` must always be passed
            Asked 2021-Apr-06 at 09:24

            I'm working on a deep learning project and I tried following a tutorial to evaluate my model with Cross-Validation.

            I was looking at this tutorial: https://machinelearningmastery.com/use-keras-deep-learning-models-scikit-learn-python/

            I started by first splitting my dataset into features and labels:



            Answered 2021-Apr-06 at 06:08
            model = KerasClassifier(build_fn=create_model(), ...) 

            Source https://stackoverflow.com/questions/66963373


            python naive Bayes tutorial - what is two_obs_test[continuous_list]?
            Asked 2021-Feb-11 at 20:39

            I'm following a tutorial on Naive Bayes at https://towardsdatascience.com/why-how-to-use-the-naive-bayes-algorithms-in-a-regulated-industry-with-sklearn-python-code-dbd8304ab2cf but I'm stuck on interpreting the reference in the third code block to two_obs_test[continuous_list]

            The full code listing is ...



            Answered 2021-Feb-11 at 19:52

            The tutorial has too many gaps. I think a view of the insides of Naive Bayes without reading a whole book is better found at https://machinelearningmastery.com/naive-bayes-classifier-scratch-python/ . I am not persisting with the tutorial and I advise others to avoid it.

            Source https://stackoverflow.com/questions/66094143


            Is there a way to do transformation on features X based on true labels in y?
            Asked 2020-May-27 at 13:08

            I have checked other questions covering the topic such as this, this, this, this and this as well as some great blog posts, blog1, blog2 and blog3 (kudos to respective author) but without success.

            What I want to do is to transform rows whose values are under a certain threshold in X, but only those that correspond to some specific classes in the target y (y != 9). The threshold is calculated based on the other class (y == 9). However, I have problems understanding how to implement this properly.

            As I want to do parameter tuning and cross-validation on this I will have to do the transformation using a pipeline. My custom transformer class looks like below. Note that I haven't included TransformerMixin as I believe I need to take into account for y in the fit_transform() function.



            Answered 2020-May-27 at 13:08

            In the comments I was talking about this:

            Source https://stackoverflow.com/questions/61975829

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


            No vulnerabilities reported

            Install learn-python

            You can download it from GitHub.
            You can use learn-python 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.


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