datacamp | Data sharing and management web application | Database library

 by   Stiivi Ruby Version: Current License: GPL-3.0

kandi X-RAY | datacamp Summary

kandi X-RAY | datacamp Summary

datacamp is a Ruby library typically used in Manufacturing, Utilities, Automotive, Database applications. datacamp has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. You can download it from GitHub.

Datacamp is a Web application for publishing, searching and managing data in form of datasets. LICENSE (see COPYING file for full license text). This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. Stefan Urbanek stefan@knowerce.sk - architecture design, back-end programming Vojto Rinik vojto@rinik.net - main application programming.
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            kandi-support Support

              datacamp has a low active ecosystem.
              It has 28 star(s) with 11 fork(s). There are 3 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 9 open issues and 1 have been closed. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of datacamp is current.

            kandi-Quality Quality

              datacamp has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              datacamp is licensed under the GPL-3.0 License. This license is Strong Copyleft.
              Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

            kandi-Reuse Reuse

              datacamp releases are not available. You will need to build from source code and install.
              datacamp saves you 17866 person hours of effort in developing the same functionality from scratch.
              It has 35389 lines of code, 1643 functions and 733 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed datacamp and discovered the below as its top functions. This is intended to give you an instant insight into datacamp implemented functionality, and help decide if they suit your requirements.
            • Create an attribute accessor .
            • This creates all the datasets for a specific dataset
            • Loads Ruby code from Rails .
            • Validates if a given locale is present
            • Update page settings
            • Create a new page
            • Loads the configuration .
            • This method should be called before the controller .
            • Returns true if the object is authorized to see if this object is allowed
            • Returns the value of a variable .
            Get all kandi verified functions for this library.

            datacamp Key Features

            No Key Features are available at this moment for datacamp.

            datacamp Examples and Code Snippets

            No Code Snippets are available at this moment for datacamp.

            Community Discussions

            QUESTION

            Why ctree is only returning a single terminal node in this case?
            Asked 2021-May-16 at 10:22

            Introduction

            I'm learning the basics of AI. I have created a .csv file with random data to test Decision Trees. I'm currently using R in Jupyther Notebook.

            Problem

            Temperature, Humidity and Wind are the variables which determine if you are allowed to fly or not.

            When I execute ctree(vuelo~., data=vuelo.csv) the output it's just a single node when I was expecting a full tree with the variables (Temperatura, Humdedad, Viento), as I resolved on paper.

            Snippet of the result

            The data used is the next table:

            ...

            ANSWER

            Answered 2021-May-16 at 10:22

            Answer

            ctree only creates splits if those reach statistical significance (see ?ctree for the underlying tests). In your case, none of the splits do so, and therefore no splits are provided.

            In your case, you could force a full tree by messing with the controls (see ?ctree and ?ctree_control), e.g. like this:

            Source https://stackoverflow.com/questions/67545994

            QUESTION

            Can I take 'outer' class Attributes and use them in 'inner' class?
            Asked 2021-May-15 at 03:48

            Can I take 'outer' class Attributes and use them in 'inner' class ?

            I want to make an outer class that contains the name and age of a man and the inner class contains the age of a man.... I tried this way but VSC told me that this is a syntax error

            I tried to search for a way to inherit from 'father_city' class and I found this but I didn't understand it

            ...

            ANSWER

            Answered 2021-May-15 at 03:48

            your show_age method has a syntax error,when using ' inside a fstring you should use " to surround the string.

            Source https://stackoverflow.com/questions/67537255

            QUESTION

            why numpy allows mixed datatypes but docs say that it cannot
            Asked 2021-May-11 at 13:55

            I have a general question but no one is able to give me answer of that i did lot of search in official docs of python and other sources such as bootcamp and datacamp.

            Issue is that i have read every where that numpy does not support hetrogenous data types (OFFICIAL DOCS)

            But, when i write the code below it works fine. So, if numpy does not support heterogenous data types then why coding allows??

            ...

            ANSWER

            Answered 2021-May-11 at 09:50

            I tried it out and actually it is homogeneous! Check this out:

            Source https://stackoverflow.com/questions/67484190

            QUESTION

            Cannot called a function using .agg method in pandas?
            Asked 2021-Apr-19 at 19:33

            I am trying to finish a Pandas course using Python on DataCamp and got into an issues. I got the solutions but I just want to ask. The quiz is simple: Using a numpy functions on a group of data

            This is their suggested tips to complete this small quiz:

            ...

            ANSWER

            Answered 2021-Apr-19 at 19:33

            You're very close, but the correct syntax would be:

            Source https://stackoverflow.com/questions/67168187

            QUESTION

            Copy paste a Naive Bayes example code on vscode but got errors
            Asked 2021-Apr-14 at 19:59

            I copied the code from datacamp to try the Naive Bayes classification on my own on python 3.8 . but when run the code the compiler gives this error

            ...

            ANSWER

            Answered 2021-Apr-14 at 19:59

            What happens is that features should be a list to be passed to model.fit, currently they are type zip

            Source https://stackoverflow.com/questions/67096686

            QUESTION

            How to add values from given dataset into empty dictionary
            Asked 2021-Mar-02 at 18:13
            • Below code copyrighted by Datacamp from Python course exercise that I am taking.

            • I have been given a csv file and The dataset contains Twitter data and I had to iterate over entries in a column to build a dictionary in which the keys are the names of languages and the values are the number of tweets in the given language. The resulting code is correct and working. However , I cannot quite understand how code works in the if-else statement part.

            • The output of the code is: {'en': 97, 'et': 1, 'und': 2}

            • My question is: How can we get the given output above. What happens exactly inside the code in for loop and if-else.

            ...

            ANSWER

            Answered 2021-Feb-28 at 14:43

            I added some explanatory notes in the for | if | else to improve the understanding of the code as requested.

            I changed the dataset to a minimum example, for the simplicity to explain.

            As a general tip: Pandas has a built-in method (value_counts) that does the same.

            Source https://stackoverflow.com/questions/66409539

            QUESTION

            Cosine similarity between a combination of numerical and text values
            Asked 2021-Feb-27 at 15:02

            I'm trying to do a simple content based filtering model on the Yelp dataset with data about the restaurants.
            I have a DataFrame in this format

            ...

            ANSWER

            Answered 2021-Feb-27 at 15:02

            Let us assume that the CountVectorizer gives you a matrix C of shape (N, m) where N = number of restaurants and m = number of features (here the count of the words).

            Now since you want to add numerical features, say you have k such features. You can simply compute these features for each movie and concatenate them to the matrix C. So for each movie now you will have (m+k) features. The shape of C will now be (N, m+k). You can use pandas to concatenate.

            Now you can simply compute the Cosine Similarity using this matrix and that way you are taking into account the text features as well as the numeric features

            However, I would strongly suggest you normalize these values, as some of the numeric features might have larger magnitudes which might lead to poor results. Also instead of the CountVectorizer, TFIDF matrix or even word embeddings might give you better results

            Source https://stackoverflow.com/questions/66399709

            QUESTION

            Web scraping using python goes all wrong
            Asked 2021-Feb-23 at 15:07

            I am a novice in web scraping in python. I studied this article to know more about web scraping and tried to implement my first project in web scraping. However, I got stuck on the first portion of the code block.

            Code

            ...

            ANSWER

            Answered 2021-Feb-22 at 11:36

            You don't have the correct url. If you go to the that url 'https://www.amazon.com/Best-Sellers-Womens-Fashion-Sneakers/zgbs/fashion/6793940111?ie=UTF8&pg=1' that you are feeding in, you'll see their "Sorry can't find that page" message.

            I also made a few modifications to the code. I'm not a fan of creating a list of lists. The create a list of lists, and then append that to another list. I don't know why they would do that. It then needs an extra line of code to flatten out a nested list of list of lists, which they do at

            Source https://stackoverflow.com/questions/66308973

            QUESTION

            Are you required to use the alias when referencing a table after aliasing?
            Asked 2021-Feb-07 at 15:21

            I've been using DataCamp to learn SQL. The first statement returned correct but the second returned incorrect. I'm having a hard time understanding why the second is incorrect since the aliasing should make them equivalents.

            Statement 1

            SELECT c.name AS city, l.name AS language FROM cities AS c CROSS JOIN languages AS l

            Statement 2

            SELECT cities.name AS city, languages.name AS language FROM cities AS c CROSS JOIN languages AS l

            ...

            ANSWER

            Answered 2021-Feb-07 at 15:21

            Yes, table alias renames the table in the context of the query, making the original name inaccessible.

            For example, from PostgreSQL documentation:

            The alias becomes the new name of the table reference so far as the current query is concerned — it is not allowed to refer to the table by the original name elsewhere in the query.

            Source https://stackoverflow.com/questions/66085891

            QUESTION

            How to replace values with np.nan -- file imported using Pandas read_pickle()
            Asked 2021-Feb-04 at 11:17

            I have created a Pandas Data frame by importing a pickle ('P') file using pd.read_pickle(). Below is the head info of the data frame. It looks like the values are created where there is no data. I want convert these values into np.nan.

            ...

            ANSWER

            Answered 2021-Feb-04 at 11:17

            If replace missing values NaN to floats get np.nan, because in original column is used integer na:

            Source https://stackoverflow.com/questions/66043989

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

            Vulnerabilities

            No vulnerabilities reported

            Install datacamp

            You can download it from GitHub.
            On a UNIX-like operating system, using your system’s package manager is easiest. However, the packaged Ruby version may not be the newest one. There is also an installer for Windows. Managers help you to switch between multiple Ruby versions on your system. Installers can be used to install a specific or multiple Ruby versions. Please refer ruby-lang.org for more information.

            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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