Users . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 424 6.6 Modern Pandas . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . of the library: Privacy Changes 1.3.3.1 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 bug fixes in the handling of sparse, see here • Expanded the Tutorials section with a feature on modern pandas, courtesy of @TomAugsburger. (GH13045). What’s new in v0.18.1 • New features – Custom Business

Users . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 422 6.6 Modern Pandas . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . of the library: Privacy Changes 1.2.3.1 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 bug fixes in the handling of sparse, see here • Expanded the Tutorials section with a feature on modern pandas, courtesy of @TomAugsburger. (GH13045). What’s new in v0.18.1 • New features – Custom Business

Users . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 452 6.6 Modern Pandas . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . of the library: Privacy Changes 1.5.3.1 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 bug fixes in the handling of sparse, see here • Expanded the Tutorials section with a feature on modern pandas, courtesy of @TomAugsburger. (GH13045). What’s new in v0.18.1 • New features – Custom Business

the main repository. Modern pandas Tutorial series written in 2016 by Tom Augspurger. The source may be found in the GitHub repository TomAugspurger/effective-pandas. • Modern Pandas • Method Chaining 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 the HTML 5 spec can be found here. It contains the latest information on table attributes for the modern web. parse_dates [bool, optional] See read_csv() for more details. thousands [str, optional] Separator

the main repository. Modern pandas Tutorial series written in 2016 by Tom Augspurger. The source may be found in the GitHub repository TomAugspurger/effective-pandas. • Modern Pandas • Method Chaining 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 the HTML 5 spec can be found here. It contains the latest information on table attributes for the modern web. 3.1. Input/output 1011 pandas: powerful Python data analysis toolkit, Release 1.3.2 parse_dates

the main repository. Modern pandas Tutorial series written in 2016 by Tom Augspurger. The source may be found in the GitHub repository TomAugspurger/effective-pandas. • Modern Pandas • Method Chaining 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 the HTML 5 spec can be found here. It contains the latest information on table attributes for the modern web. parse_dates [bool, optional] See read_csv() for more details. 3.1. Input/output 1053 pandas:

the main repository. Modern pandas Tutorial series written in 2016 by Tom Augspurger. The source may be found in the GitHub repository TomAugspurger/effective-pandas. • Modern Pandas • Method Chaining 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 the HTML 5 spec can be found here. It contains the latest information on table attributes for the modern web. parse_dates [bool, optional] See read_csv() for more details. 3.1. Input/output 1053 pandas:

the main repository. Modern pandas Tutorial series written in 2016 by Tom Augspurger. The source may be found in the GitHub repository TomAugspurger/effective-pandas. • Modern Pandas • Method Chaining 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 the HTML 5 spec can be found here. It contains the latest information on table attributes for the modern web. parse_dates [bool, optional] See read_csv() for more details. thousands [str, optional] Separator

the main repository. Modern pandas Tutorial series written in 2016 by Tom Augspurger. The source may be found in the GitHub repository TomAugspurger/effective-pandas. • Modern Pandas • Method Chaining 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 the HTML 5 spec can be found here. It contains the latest information on table attributes for the modern web. parse_dates [bool, optional] See read_csv() for more details. 918 Chapter 4. API reference

the main repository. Modern pandas Tutorial series written in 2016 by Tom Augspurger. The source may be found in the GitHub repository TomAugspurger/effective-pandas. • Modern Pandas • Method Chaining 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 the HTML 5 spec can be found here. It contains the latest information on table attributes for the modern web. parse_dates [bool, optional] See read_csv() for more details. thousands [str, optional] Separator