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

X-Ray Key Features Code Snippets(3)Community Discussions(3)Vulnerabilities Install Support

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.

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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.

Quality

learn-python has 0 bugs and 0 code smells.

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.

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.

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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

Regards,

Python

Lines of Code : 321

License : Weak Copyleft (LGPL-3.0)

Copy

            self.graph_elem.move(-1,0)

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

Overview: This car racing game is my first python project and was a fun way to learn Python and get experience with Pygame. The game is reminiscent of most 2d racing games, there is a starting point and an ending point, in this case a trophy. Contact with the trophy in the allotted time will satisfy the win condition and allow you to proceed, collision with any of the wall barriers or an expiration of the timer will fail you. There are 3 levels in total, of increasing difficulty. Good luck! If you cannot play this game for whatever reason, I have attached a video showing the gameplay at the bottom of the README.

Python

Lines of Code : 166

License : No License

Copy

python Main_Menu.py

#initialize the screen
import pygame, math, sys, level2, time
from pygame.locals import *

def level1():
    pygame.init()
    screen = pygame.display.set_mode((1024, 768))
    #GAME CLOCK
    clock = pygame.time.Clock()
    font

Screens2.md

Python

Lines of Code : 109

License : Weak Copyleft (LGPL-3.0)

Copy

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

Trending Discussions on learn-python

Scikit-learn cross_val_score throws ValueError: The first argument to `Layer.call` must always be passed

python naive Bayes tutorial - what is two_obs_test[continuous_list]?

Is there a way to do transformation on features X based on true labels in y?

QUESTION

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:

...

ANSWER

Answered 2021-Apr-06 at 06:08

model = KerasClassifier(build_fn=create_model(), ...)

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

QUESTION

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 ...

...

ANSWER

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

QUESTION

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.

...

ANSWER

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

Vulnerabilities

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.