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Compile Python on WindowsNuitka the Python Compiler

Nuitka User ManualThis document is the recommended first read when you start usingNuitka. On this page, you will learn more about Nuitkafundamentals, such as license type, use cases, requirements, andcredits.Table of ContentsRequirementsUsageTutorial Setup and build on WindowsUse CasesTweaksTypical ProblemsTipsCompilation ReportPerformanceUnsupported functionalityNuitka is the Python compiler. It is written in Python. It is aseamless replacement or extension to the Python interpreter and compilesevery construct that Python 2 (2.6, 2.7) and Python 3 (3.4 - 3.11)have, when itself run with that Python version.It then executes uncompiled code and compiled code together in anextremely compatible manner.You can use all Python library modules and all extension modules freely.Nuitka translates the Python modules into a C level program that thenuses libpython and static C files of its own to execute in the sameway as CPython does.All optimization is aimed at avoiding overhead, where it's unnecessary.None is aimed at removing compatibility, although slight improvementswill occasionally be done, where not every bug of standard Python isemulated, e.g. more complete error messages are given, but there is afull compatibility mode to disable even that.RequirementsTo ensure smooth operation of Nuitka, make sure to follow systemrequirements, that include the following components:C CompilerPythonOperating SystemArchitectureC CompilerYou need a C compiler with support for C11 or alternatively a C++compiler for C++03 [1].Currently, this means, you need to use one of these compilers:The MinGW64 C11 compiler, on Windows, must be based on gcc 11.2 orhigher. It will be automatically downloaded if no usable C compileris found, which is the recommended way of installing it, as Nuitkawill also upgrade it for you.Visual Studio 2022 or higher on Windows [2]. English language packfor best results (Nuitka filters away garbage outputs, but only forEnglish language). It will be used by default if installed.On all other platforms, the gcc compiler of at least version 5.1,and below that the g++ compiler of at least version 4.4 as analternative.The clang compiler on macOS X and most FreeBSD architectures.On Windows, the clang-cl compiler on Windows can be used ifprovided by the Visual Studio installer.[1]Support for this C11 is given with gcc 5.x or higher or any clangversion.The older MSVC compilers don't do it yet. But as a workaround, withPython 3.10 or older, the C++03 language standard is significantlyoverlapping with C11, it is then used instead.[2]Download for free from community editions work just fine).The latest version is recommended, but not required. On the other hand,there is no need to except to support pre-Windows 10 versions, and theymight work for you, but support of these configurations is onlyavailable to commercial users.PythonPython 2 (2.6, 2.7) and Python 3 (3.4 — 3.11) are supported. Ifat any moment, there is a stable Python release that is not in thislist, rest assured it is being worked on and will be added.ImportantFor Python 3.4 and only that version, we need other Python versionas a compile time dependency.Nuitka itself is fully compatible with all listed versions, but Sconsas an internally used tool is not.For these versions, you need a Python2 or Python 3.5 or higherinstalled as well, but only

Python Online Compiler 3.9 - Python Online Compiler

NoteThe steps on this page need to be done once on a given host machineHost PC RequirementsTo build applications using this SDK, one needs below host PC machineWindows PCWindows 10 64bitMinimum 4GB, >8GB RAM recommendedAt least 10GB of hard disk spaceLinux PCUbuntu 18.04 64bit or higherMinimum 4GB, >8GB RAM recommendedAt least 10GB of hard disk spaceMacOS PCMacOS Ventura or higherMinimum 4GB, >8GB RAM recommendedAt least 10GB of hard disk spaceDownload the SDK installer and install at below path on your PCWindows, C:/tiLinux and MacOS, ${HOME}/ti${SDK_INSTALL_PATH} in this user guide refers to the path, including the SDK folder name, where the SDK is installed. Example, in Windows, ${SDK_INSTALL_PATH} will refer to the path C:/ti/mcu_plus_sdk_{soc}_{version}You can also browse, download and install the SDK using TIREX as shown here, Using SDK with TI Resource Explorer.Download and Install Additional SDK ToolsSysConfigThe SysConfig download home page is, SysConfig 1.21.2 and Install at below path,Windows, C:/tiLinux and MacOS, ${HOME}/tiGCC AARCH64 CompilerAttentionGCC AARCH64 compiler installation is required only for A53 development in am64xDownload GCC AARCH64 compiler 9.2-2019.12 from the below linkWindows WINDOWS GCC AARCH64 CROSS COMPILERLinux LINUX GCC AARCH64 CROSS COMPILERExtract to below path,Windows, C:/tiLinux, ${HOME}/tiGCC ARM (R5) CompilerAttentionGCC ARM compiler installation is required only for R5 GCC buildDownload GCC ARM compiler 7-2017-q4-major from the below linkWindows WINDOWS GCC ARM CROSS COMPILERLinux LINUX GCC ARM CROSS COMPILERExtract to below path,Windows, C:/tiLinux, ${HOME}/tiPython3AttentionIt is important to install Python 3.x. If you have Python 2.x installed, then additionally install Python 3.x and make sure the command python or python3 indeed points to Python 3.xAll commands mentioned below should be typed in cmd.exe command console in Windows, bash terminal in Linux and zsh terminal for MacOSPython scripts are used for below functionality in the SDK,Flashing files to the flash on the EVM via UART.Booting application on the EVM via UARTSYSFW boardcfg formatting and C header file generation for SYSFWFlashing files is the most popular reason why you would need python, so its strongly recommended to install it.In Windows,Install python from, python is installed by typing below in a command prompt, make sure you see 3.x as the version C:\> python --versionPython 3.9.1If above command fails, then add path to Python to your environment "Path" variable, by default python is installed at below path C:\Users\{your username}\AppData\Local\Programs\Python\Python39To add a new path to your environment variables, goto "Windows Task Bar Search" and search for "environment variables for your account" Environment Variables For Your AccountClick on "Path" variables, click on "Edit", click on "New"Add the path to the folder where python in installed.It is strongly recommended to move the path "up" in your path list by clicking the "Move Up" button until the path is at the top of the list.Click "OK" to save the settingsClose your Windows command prompt and reopen it and then check if python is visible by doing below C:\> python --versionPython 3.9.1Check if the python package manager "pip" is installed, by default pip should be installed along with python. C:\> python -m pip --versionpip 21.0.1 from C:\Users\{your username}\AppData\Local\Programs\Python\Python39\lib\site-packages\pip (python

Python Online Compiler 3.7 - Python Online Compiler

Directories for 'psimd'[2/9] Performing download step (git clone) for 'psimd'Cloning into 'psimd'...Already on 'master'Your branch is up to date with 'origin/master'.[3/9] No patch step for 'psimd'[4/9] Performing update step for 'psimd'Current branch master is up to date.[5/9] No configure step for 'psimd'[6/9] No build step for 'psimd'[7/9] No install step for 'psimd'[8/9] No test step for 'psimd'[9/9] Completed 'psimd'-- Using third party subdirectory Eigen.Python 3.7.1-- Found PythonInterp: /opt/anaconda/bin/python (found suitable version "3.7.1", minimum required is "2.7") -- Found PythonLibs: /opt/anaconda/lib/libpython3.7m.so.1.0 (found suitable version "3.7.1", minimum required is "2.7") -- Found PythonInterp: /opt/anaconda/bin/python (found version "3.7.1") -- Found PythonLibs: /opt/anaconda/lib/libpython3.7m.so.1.0-- System pybind11 found-- pybind11 include dirs: /usr/include;/opt/anaconda/include/python3.7mCMake Warning at cmake/Dependencies.cmake:805 (message): Not using CUDA, so disabling NCCL. Suppress this warning with -DUSE_NCCL=OFF.Call Stack (most recent call first): CMakeLists.txt:219 (include)CMake Warning at cmake/Dependencies.cmake:950 (message): Metal is only used in ios builds.Call Stack (most recent call first): CMakeLists.txt:219 (include)-- -- ******** Summary ********-- CMake version : 3.12.2-- CMake command : /opt/anaconda/bin/cmake-- System : Linux-- C++ compiler : /usr/bin/c++-- C++ compiler version : 5.4.1-- CXX flags : -fvisibility-inlines-hidden -Wnon-virtual-dtor-- Build type : Release-- Compile definitions : TH_BLAS_MKL-- CMAKE_PREFIX_PATH : /opt/anaconda/bin/../-- CMAKE_INSTALL_PREFIX : /home/manjaro/Downloads/pytorch/torch-- CMAKE_MODULE_PATH : /home/manjaro/Downloads/pytorch/cmake/Modules;/usr/share/cmake/pybind11-- -- ONNX version : 1.4.1-- ONNX NAMESPACE : onnx_torch-- ONNX_BUILD_TESTS : OFF-- ONNX_BUILD_BENCHMARKS : OFF-- ONNX_USE_LITE_PROTO : OFF-- ONNXIFI_DUMMY_BACKEND : OFF-- -- Protobuf compiler : -- Protobuf includes : -- Protobuf libraries : -- BUILD_ONNX_PYTHON : OFF-- Found gcc >=5 and CUDA Building wheel torch-1.1.0a0+44809fd-- Building version 1.1.0a0+44809fd['cmake', '/home/manjaro/Downloads/pytorch', '-GNinja', '-DBLAS=MKL', '-DBUILDING_WITH_TORCH_LIBS=ON', '-DBUILD_BINARY=False', '-DBUILD_CAFFE2_OPS=False', '-DBUILD_PYTHON=True', '-DBUILD_SHARED_LIBS=ON', '-DBUILD_TEST=False', '-DBUILD_TORCH=ON',. Download Turbo C; Online C Compiler; Python Online Compiler; Programs; Home Python Online Compiler. Compiler Python Online Compiler. Python online compiler is a web-based Download JCompiler 1.1 Beta - Mini Python compiler written in Java . Python compiler Mini Python compiler written in Java. Description Free Download.

Python Online Compiler 3.10 - Python Online Compiler

Nuitka User ManualOverviewThis document is the recommended first read if you are interested inusing Nuitka, understand its use cases, check what you can expect,license, requirements, credits, etc.Nuitka is the Python compiler. It is written in Python. It is aseamless replacement or extension to the Python interpreter and compilesevery construct that CPython 2.6, 2.7, 3.3, 3.4, 3.5, 3.6, 3.7, 3.8,3.9, 3.10 have, when itself run with that Python version.It then executes uncompiled code and compiled code together in anextremely compatible manner.You can use all Python library modules and all extension modules freely.Nuitka translates the Python modules into a C level program that thenuses libpython and static C files of its own to execute in the sameway as CPython does.All optimization is aimed at avoiding overhead, where it's unnecessary.None is aimed at removing compatibility, although slight improvementswill occasionally be done, where not every bug of standard Python isemulated, e.g. more complete error messages are given, but there is afull compatibility mode to disable even that.UsageRequirementsC Compiler: You need a compiler with support for C11 or alternativelyfor C++03 [1]Currently this means, you need to use one of these compilers:The MinGW64 C11 compiler on Windows, must be based on gcc 11.2 orhigher. It will be automatically downloaded if no usable Ccompiler is found, which is the recommended way of installing it,as Nuitka will also upgrade it for you.Visual Studio 2022 or higher on Windows [2], older versions willwork but only supported for commercial users. Configure to use theEnglish language pack for best results (Nuitka filters awaygarbage outputs, but only for English language). It will be usedby default if installed.On all other platforms, the gcc compiler of at least version5.1, and below that the g++ compiler of at least version 4.4as an alternative.The clang compiler on macOS X and most FreeBSD architectures.On Windows the clang-cl compiler on Windows can be used ifprovided by the Visual Studio installer.Python: Version 2.6, 2.7 or 3.3, 3.4, 3.5, 3.6, 3.7, 3.8, 3.9, 3.10ImportantFor Python 3.3/3.4 and only those, we need other Python versionas a compile time dependency.Nuitka itself is fully compatible with all listed versions, butScons as an internally used tool is not.For these versions, you need a Python2 or Python 3.5 or higherinstalled as well, but only during the compile time only. That isfor use with Scons (which orchestrates the C compilation), whichdoes not support the same Python versions as Nuitka.In addition, on Windows, Python2 cannot be used

Python Online Compiler 3.8 - Python Online Compiler

Becauseclcache does not work with it, there a Python 3.5 or higherneeds to be installed.Nuitka finds these needed Python versions (e.g. on Windows viaregistry) and you shouldn't notice it as long as they areinstalled.Increasingly, other functionality is available when another Pythonhas a certain package installed. For example, onefile compressionwill work for a Python 2.x when another Python is found that hasthe zstandard package installed.Moving binaries to other machinesThe created binaries can be made executable independent of thePython installation, with --standalone and --onefileoptions.Binary filename suffixThe created binaries have an .exe suffix on Windows. On otherplatforms they have no suffix for standalone mode, or .binsuffix, that you are free to remove or change, or specify with the-o option.The suffix for acceleration mode is added just to be sure that theoriginal script name and the binary name do not ever collide, sowe can safely do an overwrite without destroying the originalsource file.It has to be CPython, Anaconda Python.You need the standard Python implementation, called "CPython", toexecute Nuitka, because it is closely tied to implementationdetails of it.It cannot be from Windows app storeIt is known that Windows app store Python definitely does notwork, it's checked against. And on macOS "pyenv" likely doesnot work.Operating System: Linux, FreeBSD, NetBSD, macOS X, and Windows (32/64bits).Others may work as well. The portability is expected to be generallygood, but the e.g. Scons usage may have to be adapted. Make sure tomatch Windows Python and C compiler architecture, or else you willget cryptic error messages.Architectures: x86, x86_64 (amd64), and arm, likely many moreOther architectures are expected to also work, out of the box, asNuitka is generally not using any hardware specifics. These are justthe ones tested and known to be good. Feedback is welcome. Generally,the architectures that Debian supports can be considered good andtested too.[1]Support for this C11 is a given with gcc 5.x or higher or any clangversion.The MSVC compiler doesn't do it yet. But as a workaround, as the C++03language standard is very overlapping with C11, it is then used insteadwhere the C compiler is too old. Nuitka used to require a C++ compilerin the past, but it changed.[2]Download for free from community editions work just fine).The latest version is recommended but not required. On the other hand,there is no need to except pre-Windows 10 support, and they might workfor you, but support of these configurations is only available tocommercial users.Command LineThe recommended way of executing Nuitka is

Python Online Compiler 3.6 - Python Online Compiler

/usr/lib/libpthread.so-- Library m: /usr/lib/libm.so-- Library dl: /usr/lib/libdl.so-- Looking for cblas_sgemm-- Looking for cblas_sgemm - found-- MKL library found-- Check if compiler accepts -pthread-- Check if compiler accepts -pthread - yes-- Caffe2: Found gflags with new-style gflags target.-- Caffe2: Cannot find glog automatically. Using legacy find.-- Found glog: /usr/include -- Caffe2: Found glog (include: /usr/include, library: /usr/lib/libglog.so)-- Found Numa: /usr/include -- Found Numa (include: /usr/include, library: /usr/lib/libnuma.so)-- Downloading PSimd to /home/manjaro/Downloads/pytorch/build/confu-srcs/psimd (define PSIMD_SOURCE_DIR to avoid it)-- Configuring done-- Generating done-- Build files have been written to: /home/manjaro/Downloads/pytorch/build/confu-deps/psimd-download[1/9] Creating directories for 'psimd'[2/9] Performing download step (git clone) for 'psimd'Cloning into 'psimd'...Already on 'master'Your branch is up to date with 'origin/master'.[3/9] No patch step for 'psimd'[4/9] Performing update step for 'psimd'Current branch master is up to date.[5/9] No configure step for 'psimd'[6/9] No build step for 'psimd'[7/9] No install step for 'psimd'[8/9] No test step for 'psimd'[9/9] Completed 'psimd'-- Using third party subdirectory Eigen.Python 3.7.1-- Found PythonInterp: /opt/anaconda/bin/python (found suitable version "3.7.1", minimum required is "2.7") -- Found PythonLibs: /opt/anaconda/lib/libpython3.7m.so.1.0 (found suitable version "3.7.1", minimum required is "2.7") -- Found PythonInterp: /opt/anaconda/bin/python (found version "3.7.1") -- Found PythonLibs: /opt/anaconda/lib/libpython3.7m.so.1.0-- System pybind11 found-- pybind11 include dirs: /usr/include;/opt/anaconda/include/python3.7mCMake Warning at cmake/Dependencies.cmake:805 (message): Not using CUDA, so disabling NCCL. Suppress this warning with -DUSE_NCCL=OFF.Call Stack (most recent call first): CMakeLists.txt:219 (include)CMake Warning at cmake/Dependencies.cmake:950 (message): Metal is only used in ios builds.Call Stack (most recent call first): CMakeLists.txt:219 (include)-- -- ******** Summary ********-- CMake version : 3.12.2-- CMake command : /opt/anaconda/bin/cmake-- System : Linux-- C++ compiler. Download Turbo C; Online C Compiler; Python Online Compiler; Programs; Home Python Online Compiler. Compiler Python Online Compiler. Python online compiler is a web-based