xweb | High performance async web framework | Web Framework library

 by   gaojiuli Python Version: 3.0.1 License: MIT

kandi X-RAY | xweb Summary

kandi X-RAY | xweb Summary

xweb is a Python library typically used in Server, Web Framework, Framework applications. xweb has no bugs, it has build file available, it has a Permissive License and it has low support. However xweb has 1 vulnerabilities. You can install using 'pip install xweb' or download it from GitHub, PyPI.

High performance web framework.
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            kandi-support Support

              xweb has a low active ecosystem.
              It has 314 star(s) with 43 fork(s). There are 19 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 1 open issues and 5 have been closed. On average issues are closed in 180 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of xweb is 3.0.1

            kandi-Quality Quality

              xweb has 0 bugs and 0 code smells.

            kandi-Security Security

              xweb has 1 vulnerability issues reported (0 critical, 0 high, 1 medium, 0 low).
              xweb code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              xweb 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

              xweb releases are not available. You will need to build from source code and install.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              Installation instructions, examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed xweb and discovered the below as its top functions. This is intended to give you an instant insight into xweb implemented functionality, and help decide if they suit your requirements.
            • Start listening for events .
            • Initialize the response .
            • Initialize a URL .
            • Validate data .
            • Handle request .
            • Check if value is True .
            • Hello!
            • Simple WSGI application .
            • Example example .
            • Return the home page .
            Get all kandi verified functions for this library.

            xweb Key Features

            No Key Features are available at this moment for xweb.

            xweb Examples and Code Snippets

            No Code Snippets are available at this moment for xweb.

            Community Discussions

            QUESTION

            When to use floc and fscale parameters in scipy?
            Asked 2018-Mar-27 at 16:22

            Although I have read lots of posts about fitting distributions in python, I am still confused about usage floc and fscale parameters. For general information I mainly used this, this and this sources.

            I know, that given distribution lets say f(x) becomes more general distribution when using loc and scale parameters, which can be described by formula f(x) = f((x-loc)/scale).

            In scipy, we have to choice. When fitting a distribution, using formula distr.fit(x), the initial guess of loc parameter is 0 and initial guess of fscale parameter is 1 (so that we assume that the parametrized distribution is close to nonparametrized distribution). We can also force scipy to fit 'original' distribution f(x) using distr.fit(x, floc = 0, fscale = 1).

            My question is: is there any general advice when to force scipy to fit 'original distribution' besides the 'parametrized one'?

            Here is the example:

            ...

            ANSWER

            Answered 2018-Mar-27 at 16:22
            Short answer

            Provide some guess-estimates for loc and scale whenever you are able. Provide floc and fscale only when you actually need this for your subsequent use of the model; that is, if an answer with, say, distribution mean different from 0 is just not acceptable to you.

            For example, if you model elastic force by Hooke's law F = k*x and want to find k from experimental force F and deformation x, there is no use in fitting a general linear model k*x+b; we know that zero force produces zero deformation. Any nonzero value of b may achieve better fit but only because it follows experimental errors better, which isn't the goal. So this is a situation where we want to force a certain parameter to be zero.

            Never use floc or fscale if you just want to improve the fit; use loc and scale instead.

            Explanation

            Fitting a distribution to data is a multivariable optimization problem. Such problems are difficult and solvers frequently fail when the starting point is far from the optimal. If floc gives better result than unconstrained fit, that only means the unconstrained fit failed.

            To improve the outcome, you should provide tentative loc and scale parameters whenever you are able to come up with something reasonable.

            In your lognormal example, you compare not giving any hint to imposing the restriction floc=0. But the best strategy is just to give a hint with loc=0:

            Source https://stackoverflow.com/questions/49510078

            QUESTION

            How to pass dates to Abila/Avectra netForum using PHP?
            Asked 2017-Jul-31 at 20:44

            I have credentials to access Abila netForum xWeb functions. I am using PHP to do so. What I need to do is get a list of all events. I am trying to use GetActiveEventListByDate()

            I am able to authenticate just fine - got the Authenticate Token and SignOn Token from the SignOn WSDL. Got the Authenticate Token from netFORUMXMLOnDemand WSDL as well.

            Then, I am trying to get all events by passing the date range to netFORUMXMLOnDemand WSDL - and that does not work for some reason. I think it is probably the date format but no matter what I try it does not work.

            I tried:

            ...

            ANSWER

            Answered 2017-Jul-31 at 20:44

            Sorry all, at the end, it was not the date issue at all. I am posting this in case someone has the same issue.

            The problem was some illegal character in an event title in my date range. For some reason, if you encounter an illegal character while trying to access the list, you are gonna get a silent error - no results displayed.

            It took Abila people a few weeks to figure this one out.

            Hope this helps someone.

            Source https://stackoverflow.com/questions/43939560

            QUESTION

            VBA accessing Web Service and parsing result
            Asked 2017-Mar-27 at 18:50

            I need to parse a specific Node (Token) so that I can use it in my next API request. I get the SOAP XML response fine (displayed below). I get stuck at the last line of this Subroutine, compile error: argument not optional. Once I set variable LastToken - I would like to see it in a MsgBox to verify it. Can't seem to find the right syntax to get through this.

            VBA Code (Using Access 2016)

            ...

            ANSWER

            Answered 2017-Mar-27 at 18:50

            This worked for me (loading the XML from a worksheet cell for testing purposes):

            Source https://stackoverflow.com/questions/43032649

            QUESTION

            Fitting binned lognormal data in Python
            Asked 2017-Feb-11 at 15:13

            I have a range of particle size distribution data arranged by percentage volume fraction, like so:;

            ...

            ANSWER

            Answered 2017-Feb-11 at 15:13

            I guess one possible workaround is to manually fit a pdf to your bin data, assuming x values are the midpoint of each interval, and y values are the corresponding bin frequency. And then fit a curve based on x and y values using scipy.optimize.curve_fit. I think accuracy of the results will depend the number of bins you have. An example is shown below:

            Source https://stackoverflow.com/questions/42163438

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

            Install xweb

            You can install using 'pip install xweb' or download it from GitHub, PyPI.
            You can use xweb 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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            Install
          • PyPI

            pip install xweb

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            https://github.com/gaojiuli/xweb.git

          • CLI

            gh repo clone gaojiuli/xweb

          • sshUrl

            git@github.com:gaojiuli/xweb.git

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