pandas: powerful Python data analysis toolkit - 1.4.2C extensions for pandas) . . . . . . . . . . . . . . . . . . . . . . . . . . . 944 2.23.2 Numba (JIT compilation) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 949 2.23.3 Expression Python function, the engine will JIT the passed function. func can also be a JITed function in which case the engine will not JIT the function again. 2. The engine will JIT the for loop where the apply function The engine_kwargs argument is a dictionary of keyword arguments that will be passed into the numba.jit decorator. These keyword arguments will be applied to both the passed function (if a standard Python0 码力 | 3739 页 | 15.24 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 1.4.4C extensions for pandas) . . . . . . . . . . . . . . . . . . . . . . . . . . . 944 2.23.2 Numba (JIT compilation) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 949 2.23.3 Expression Python function, the engine will JIT the passed function. func can also be a JITed function in which case the engine will not JIT the function again. 2. The engine will JIT the for loop where the apply function The engine_kwargs argument is a dictionary of keyword arguments that will be passed into the numba.jit decorator. These keyword arguments will be applied to both the passed function (if a standard Python0 码力 | 3743 页 | 15.26 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 1.3.2C extensions for pandas) . . . . . . . . . . . . . . . . . . . . . . . . . . . 897 2.23.2 Numba (JIT compilation) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 901 2.23.3 Expression Python function, the engine will JIT the passed function. func can also be a JITed function in which case the engine will not JIT the function again. 2. The engine will JIT the for loop where the apply function The engine_kwargs argument is a dictionary of keyword arguments that will be passed into the numba.jit deco- rator. These keyword arguments will be applied to both the passed function (if a standard Python0 码力 | 3509 页 | 14.01 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 1.3.3C extensions for pandas) . . . . . . . . . . . . . . . . . . . . . . . . . . . 934 2.23.2 Numba (JIT compilation) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 940 2.23.3 Expression Python function, the engine will JIT the passed function. func can also be a JITed function in which case the engine will not JIT the function again. 2. The engine will JIT the for loop where the apply function The engine_kwargs argument is a dictionary of keyword arguments that will be passed into the numba.jit decorator. These keyword arguments will be applied to both the passed function (if a standard Python0 码力 | 3603 页 | 14.65 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 1.3.4C extensions for pandas) . . . . . . . . . . . . . . . . . . . . . . . . . . . 935 2.23.2 Numba (JIT compilation) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 941 2.23.3 Expression Python function, the engine will JIT the passed function. func can also be a JITed function in which case the engine will not JIT the function again. 2. The engine will JIT the for loop where the apply function The engine_kwargs argument is a dictionary of keyword arguments that will be passed into the numba.jit decorator. These keyword arguments will be applied to both the passed function (if a standard Python0 码力 | 3605 页 | 14.68 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 1.5.0rc0Python function, the engine will JIT the passed function. func can also be a JITed function in which case the engine will not JIT the function again. 2. The engine will JIT the for loop where the apply function The engine_kwargs argument is a dictionary of keyword arguments that will be passed into the numba.jit decorator. These keyword arguments will be applied to both the passed function (if a standard Python the Cython docs on compiler directives. Numba (JIT compilation) An alternative to statically compiling Cython code is to use a dynamic just-in-time (JIT) compiler with Numba. Numba allows you to write0 码力 | 3943 页 | 15.73 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 1.1.1Python function, the engine will JIT the passed function. func can also be a JITed function in which case the engine will not JIT the function again. 2. The engine will JIT the for loop where the apply function The engine_kwargs argument is a dictionary of keyword arguments that will be passed into the numba.jit dec- orator. These keyword arguments will be applied to both the passed function (if a standard Python The engine_kwargs argument is a dictionary of key- word arguments that will be passed into the numba.jit decorator. These keyword arguments will be applied to the passed function. Currently only nogil, nopython0 码力 | 3231 页 | 10.87 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 1.1.0Python function, the engine will JIT the passed function. func can also be a JITed function in which case the engine will not JIT the function again. 2. The engine will JIT the for loop where the apply function The engine_kwargs argument is a dictionary of keyword arguments that will be passed into the numba.jit dec- orator. These keyword arguments will be applied to both the passed function (if a standard Python The engine_kwargs argument is a dictionary of key- word arguments that will be passed into the numba.jit decorator. These keyword arguments will be applied to the passed function. Currently only nogil, nopython0 码力 | 3229 页 | 10.87 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 1.2.3The engine_kwargs argument is a dictionary of key- word arguments that will be passed into the numba.jit decorator. These keyword arguments will be applied to the passed function. Currently only nogil, nopython Python function, the engine will JIT the passed function. func can also be a JITed function in which case the engine will not JIT the function again. 2. The engine will JIT the for loop where the apply function The engine_kwargs argument is a dictionary of keyword arguments that will be passed into the numba.jit dec- orator. These keyword arguments will be applied to both the passed function (if a standard Python0 码力 | 3323 页 | 12.74 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 1.2.0The engine_kwargs argument is a dictionary of key- word arguments that will be passed into the numba.jit decorator. These keyword arguments will be applied to the passed function. Currently only nogil, nopython Python function, the engine will JIT the passed function. func can also be a JITed function in which case the engine will not JIT the function again. 2. The engine will JIT the for loop where the apply function The engine_kwargs argument is a dictionary of keyword arguments that will be passed into the numba.jit dec- orator. These keyword arguments will be applied to both the passed function (if a standard Python0 码力 | 3313 页 | 10.91 MB | 1 年前3
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