Python_Lib | 使用 Python 库的代码记录 - 这是一个存放使用过的 Python 库的简单示例仓库,欢迎交流 | Data Manipulation library

 by   PolluxAvenger Python Version: Current License: No License

kandi X-RAY | Python_Lib Summary

kandi X-RAY | Python_Lib Summary

Python_Lib is a Python library typically used in Utilities, Data Manipulation, Numpy applications. Python_Lib has no bugs, it has no vulnerabilities and it has low support. However Python_Lib build file is not available. You can download it from GitHub.

这是一个存放使用过的 Python 库的简单示例仓库,欢迎交流 ~.
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              Python_Lib has a low active ecosystem.
              It has 8 star(s) with 2 fork(s). There are no watchers for this library.
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              It had no major release in the last 6 months.
              Python_Lib has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of Python_Lib is current.

            kandi-Quality Quality

              Python_Lib has no bugs reported.

            kandi-Security Security

              Python_Lib has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              Python_Lib 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_Lib releases are not available. You will need to build from source code and install.
              Python_Lib has no build file. You will be need to create the build yourself to build the component from source.

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            Python_Lib Key Features

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            Python_Lib Examples and Code Snippets

            No Code Snippets are available at this moment for Python_Lib.

            Community Discussions

            QUESTION

            My qmake build is more than twice as fast in debug build as cmake, why?
            Asked 2020-Dec-28 at 05:30

            So, I am converting my project from qmake to cmake, and I'm just about done! However, I'm getting more than double the runtime speed on my qmake build, at least in debug mode. I'd like to have the same compile flags set in both build configurations so that I'm comparing apples to apples.

            Unfortunately, I haven't had much luck figuring out what the heck is accounting for the performance difference! My qmake flags resolve out to this:

            ...

            ANSWER

            Answered 2020-Dec-28 at 05:30

            I figured it out!! cmake was building my application as a console app, instead of a Windows app. Replacing add_executable(${TARGET_NAME} ${MY_SOURCES}) with add_executable(${TARGET_NAME} WIN32 ${MY_SOURCES}) in my cmake build makes the performance match. I learned something new today, thanks all.

            Source https://stackoverflow.com/questions/65207917

            QUESTION

            Converting qmake to cmake, how do I set Debug vs Release, and similar configuration options?
            Asked 2020-Nov-30 at 23:19

            I'll start by saying that I'm a total noob to cmake, but it's what most people use and I need to finally make the switch from qmake. I'm trying to convert the following project file:

            ...

            ANSWER

            Answered 2020-Nov-30 at 23:19

            how do I set Debug vs Release, and similar configuration options?

            There are two common options. A plain if:

            Source https://stackoverflow.com/questions/65082379

            QUESTION

            conda returns 'Solving environment: failed'
            Asked 2019-Sep-26 at 12:35

            I can not use the conda utility anymore. I use it regularly since years but lately, since I installed the python module scp (with the command conda install scp, I don’t know if it matters) without anything visibly unusual, I get the error below whatever the command as soon as I use conda (conda install …, conda update …, conda uninstall …, … , the message is always the same):

            ...

            ANSWER

            Answered 2018-Jul-10 at 17:08

            Downgrading to conda 4.5.5 fixed this for me.

            And with a ranting hat on: This is the third time in the space of about 18 months that a conda update has resulted in an error that causes builds to fail, and there's been plenty of other issues too. I presume it will be fixed by the core conda people at some point, and maybe it is caused by a particular combination of third party dependencies, but one way or another conda always seems extremely buggy. There was once an update that caused conda install conda to delete itself!

            Source https://stackoverflow.com/questions/51266535

            QUESTION

            Problems with C++, Python 3.7.4, SWIG 4.0.0 and Windows 10 - ModuleNotFoundError
            Asked 2019-Sep-16 at 17:38

            I'm writing a library in C++ that is to be published soon. In addition to the library, I've added an interface to Python 3.7.4 that is automatically generated using SWIG 4.0.0. In Ubuntu 18.04, the interface works perfectly: it can be imported into Python3 without any problem. In Windows 10, however this is not the case. After generating the wrapper in C++, compiling it, and linking it against the compiled C++ library (as a shared object), into a *.so file, importing it from python does not work. The error message after doing import is similar to the following

            ...

            ANSWER

            Answered 2019-Sep-16 at 17:38

            Thank you @flexo for pointing out the problem. On Windows, we have to make a .pyd, not a .so.

            Besides the changes pointed out by @Flexo, there are other things that have to be changed too. The minimal example's Makefile correct version is:

            Source https://stackoverflow.com/questions/57961390

            QUESTION

            src/caffe/parallel.cpp:70:1: error: ‘Params’ does not name a type
            Asked 2019-Jul-29 at 03:13

            This is not the first time I compiled caffe, but I still have problems that I can't solve. The caffe version I used is https://github.com/chuanqi305/ssd, the compiled version is GPU, I successfully compiled and run on my computer ( Ubuntu 16.04 GTX1080TI*1 cuda9.0) , but in the school server (Ubuntu 14.04 Tesla k80*2+Tesla k40*2 cuda8.0), the same code, the same configuration, but the compilation failed。The error occurred in the code compilation phase rather than the link phase, but the code itself is definitely no problem, because it has been compiled successfully on another computer, I don't know if it is because of my gcc/g++ version.

            I tried to compile the parallel.cpp file myself using the g++ command. When I don't specify the header file path, the same error will occur, but in the Makefile, the location of the header file has been added.

            The error message is below:

            ...

            ANSWER

            Answered 2019-Jul-29 at 03:13

            When you change the environment,have you edit the path in Makefile.config?
            Please make the python path correct and make sure cudnn is installed,if you want to compile with cuDNN.
            Not very clear with your issue, try comment USE_CUDNN := 1

            Source https://stackoverflow.com/questions/57230799

            QUESTION

            MacOS: brew install graph-tool on High Sierra
            Asked 2019-Jun-21 at 22:59

            I'm using High Sierra and am unable to install graph-tool via brew install. Given below is the output after brew installing.

            ...

            ANSWER

            Answered 2019-Jun-21 at 18:00

            Graph-tool 2.28 requires macOS Mojave. It’s been updated in Homebrew on June, 9. You can try installing the previous version by using a direct URL to the formula at the commit just before the bump:

            Source https://stackoverflow.com/questions/56691882

            QUESTION

            PyCaffe build fails, lboost_python not found
            Asked 2018-May-19 at 04:50

            I am on MacOS 10.13.3 (17D47) with Python 2.7.14. I am in the process of building caffe w/ python. The project is CPU only. I am able to build caffe through make run test however, after attempting make pycaffe I get an error. This is the result:

            ...

            ANSWER

            Answered 2018-May-18 at 14:31

            Goto Makefile (and not the .config file) and change the name of the ld library to python27.

            Source https://stackoverflow.com/questions/49961216

            QUESTION

            Invalid syntax error in rrule.py when importing caffe in python3.6
            Asked 2018-Apr-19 at 06:35

            I built Caffe and Pycaffe successfully, however, there is something wrong which I could not figure it out myself.
            Upon importing caffe in python I'm getting this error :

            ...

            ANSWER

            Answered 2018-Apr-19 at 06:35

            File "/home/breeze/anaconda3/lib/python3.6/site-packages/dateutil/rrule.py", line 55 raise ValueError, "Can't create weekday with n == 0" ^ SyntaxError: invalid syntax

            From the error, you understand that you need to update dateutil lib.

            Source https://stackoverflow.com/questions/49913335

            QUESTION

            make all error while installing caffe with matlab
            Asked 2018-Mar-02 at 18:40

            I am trying to install caffe with cpu support and matcaffe wrapper. My system config: Ubuntu -16.04, opencv 2.4.9, gcc-4.9, g++-4.9, Matlab2017b I am unable to figure out the error I have seen many possible options available and patched the solution. I have included my Makefile.config as Makefile with the error:

            ...

            ANSWER

            Answered 2018-Mar-02 at 18:40

            I don't have a specific solution. However, when I tripped over these problems, the errors were due to lack of the proper library to link. This came from two causes: (1) library not installed; (2) wrong library version earlier in the LD_LIBRARY_PATH. Unfortunately, I don't recall how my IT support traced and fixed the problem for me -- it took someone who knew the OS library installation much better than my "sudo yum install" level of expertise. :-)

            You also commented that changing the compiler worked: another possibility, as a new compiler has a new load path. Good work!

            Source https://stackoverflow.com/questions/49063495

            QUESTION

            caffe can't find libboost_system.so.166.0
            Asked 2018-Feb-12 at 10:55

            I'm installing caffe on an Ubuntu 17.04 system using boost 1.66. I am able to execute make all and make test without problems:

            ...

            ANSWER

            Answered 2018-Feb-12 at 10:55

            Your /usr/local/lib/libboost_system.so.1.66.0 is evidently one you built yourself and want the loader to find at runtime without special measures.

            But having built it, you didn't update the ldconfig cache (because you didn't know you had to); so the runtime loader is not yet aware that this library exists and can't find it.

            When the loader is looking for the shared libraries needed to assemble a new process, it does not search all of the linker's default search directories. That would be slow. By default it searches a cached database /etc/ld.so.cache, of libraries that were found by ldconfig, last time it was run.

            By default, ldconfig caches libraries that it finds in /lib, /usr/lib and in the directrories listed in the file /etc/ld.so.conf, and/or any similar *.conf files that are recursively include-ed in /etc/ld.so.conf. For example:

            Source https://stackoverflow.com/questions/48675384

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

            Vulnerabilities

            No vulnerabilities reported

            Install Python_Lib

            You can download it from GitHub.
            You can use Python_Lib 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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