Python code can be just-in-time compiled to native machine instructions, similar in performance to C, C++ and Fortran, without having to switch languages or Python interpreters. Numba works by generating environment To test out code changes, you’ll need to build pandas from source, which requires a C/C++ compiler and Python environment. If you’re making documentation changes, you can skip to Contributing scrolling down to “All downloads” -> “Tools for Visual Studio 2019”. In the installer, select the “C++ build tools” workload. You can install the necessary components on the commandline using vs_buildtools

Python function which can be JIT compiled to native machine instructions, similar in performance to C, C++ and Fortran, by decorating your function with @jit. Numba works by generating optimized machine code environment To test out code changes, you’ll need to build pandas from source, which requires a C/C++ compiler and Python environment. If you’re making documentation changes, you can skip to contributing scrolling down to “All downloads” -> “Tools for Visual Studio 2019”. In the installer, select the “C++ build tools” workload. You can install the necessary components on the commandline using vs_buildtools

Python function which can be JIT compiled to native machine instructions, similar in performance to C, C++ and Fortran, by decorating your function with @jit. Numba works by generating optimized machine code environment To test out code changes, you’ll need to build pandas from source, which requires a C/C++ compiler and Python environment. If you’re making documentation changes, you can skip to contributing scrolling down to “All downloads” -> “Tools for Visual Studio 2019”. In the installer, select the “C++ build tools” workload. You can install the necessary components on the commandline using vs_buildtools

Python function which can be JIT compiled to native machine instructions, similar in performance to C, C++ and Fortran, by decorating your function with @jit. Numba works by generating optimized machine code environment To test out code changes, you’ll need to build pandas from source, which requires a C/C++ compiler and Python environment. If you’re making documentation changes, you can skip to contributing scrolling down to “All downloads” -> “Tools for Visual Studio 2019”. In the installer, select the “C++ build tools” workload. You can install the necessary components on the commandline using vs_buildtools

Python code can be just-in-time compiled to native machine instructions, similar in performance to C, C++ and Fortran, without having to switch languages or Python interpreters. Numba works by generating environment To test out code changes, you’ll need to build pandas from source, which requires a C/C++ compiler and Python environment. If you’re making documentation changes, you can skip to Contributing scrolling down to “All downloads” -> “Tools for Visual Studio 2019”. In the installer, select the “C++ build tools” workload. You can install the necessary components on the commandline using vs_buildtools

Python function which can be JIT compiled to native machine instructions, similar in performance to C, C++ and Fortran, by decorating your function with @jit. Numba works by generating optimized machine code environment To test out code changes, you’ll need to build pandas from source, which requires a C/C++ compiler and Python environment. If you’re making documentation changes, you can skip to contributing scrolling down to “All downloads” -> “Tools for Visual Studio 2019”. In the installer, select the “C++ build tools” workload. You can install the necessary components on the commandline using vs_buildtools

Python function which can be JIT compiled to native machine instructions, similar in performance to C, C++ and Fortran, by decorating your function with @jit. Numba works by generating optimized machine code environment To test out code changes, you’ll need to build pandas from source, which requires a C/C++ compiler and Python environment. If you’re making documentation changes, you can skip to contributing scrolling down to “All downloads” -> “Tools for Visual Studio 2019”. In the installer, select the “C++ build tools” workload. You can install the necessary components on the commandline using vs_buildtools

Python function which can be JIT compiled to native machine instructions, similar in performance to C, C++ and Fortran, by decorating your function with @jit. Numba works by generating optimized machine code environment To test out code changes, you’ll need to build pandas from source, which requires a C/C++ compiler and Python environment. If you’re making documentation changes, you can skip to contributing scrolling down to “All downloads” -> “Tools for Visual Studio 2019”. In the installer, select the “C++ build tools” workload. You can install the necessary components on the commandline using vs_buildtools

Python code can be just-in-time compiled to native machine instructions, similar in performance to C, C++ and Fortran, without having to switch languages or Python interpreters. Numba works by generating Python data analysis toolkit, Release 1.0.0 • Bug preventing pandas being used on Windows without C++ redistributable installed (GH21106) Contributors A total of 30 people contributed patches to this Reorganization of the library: privacy changes Modules privacy has changed Some formerly public python/c/c++/cython extension modules have been moved and/or renamed. These are all re- moved from the public API

Python code can be just-in-time compiled to native machine instructions, similar in performance to C, C++ and Fortran, without having to switch languages or Python interpreters. Numba works by generating longer outputs deprecation warnings (GH21125) • Bug preventing pandas being used on Windows without C++ redistributable installed (GH21106) Contributors A total of 30 people contributed patches to this Reorganization of the library: privacy changes Modules privacy has changed Some formerly public python/c/c++/cython extension modules have been moved and/or renamed. These are all re- moved from the public API