DBM storage backend. This setting is specific to the DBM backend. HTTPCACHE_POLICY New in version 0.18. Default: ’scrapy.contrib.httpcache.DummyPolicy’ The class which implements the cache policy. 6 (commit bb35ed0) • fix XmlItemExporter in Python 2.7.4 and 2.7.5 (commit de3e451) • minor updates to 0.18 release notes (commit c45e5f1) • fix contributters list format (commit 0b60031) 8.1.5 0.18.0 (released

index modules | next | Scrapy 0.18.4 documentation » Scrapy 0.18 documentation This documentation contains everything you need to know about Scrapy. Getting help Having trouble? We’d like to help! DBM storage backend. This setting is specific to the DBM backend. HTTPCACHE_POLICY New in version 0.18. Default: 'scrapy.contrib.httpcache.DummyPolicy' The class which implements the cache policy. 7.4 and 2.7.5 (commit de3e451 [https://github.com/scrapy/scrapy/commit/de3e451]) minor updates to 0.18 release notes (commit c45e5f1 [https://github.com/scrapy/scrapy/commit/c45e5f1]) fix contributters

interpolation method in scipy 0.18. New in version 0.18.1: Added support for the ‘akima’ method. Added interpo- late method ‘from_derivatives’ which replaces ‘piecewise_polynomial’ in SciPy 0.18; backwards-compatible backwards-compatible with SciPy < 0.18 axis [{0 or ‘index’, 1 or ‘columns’, None}, default None] Axis to interpolate along. limit [int, optional] Maximum number of consecutive NaNs to fill. Must be greater than 0. interpolation method in scipy 0.18. New in version 0.18.1: Added support for the ‘akima’ method. Added interpo- late method ‘from_derivatives’ which replaces ‘piecewise_polynomial’ in SciPy 0.18; backwards-compatible

interpolation method in scipy 0.18. New in version 0.18.1: Added support for the ‘akima’ method. Added interpo- late method ‘from_derivatives’ which replaces ‘piecewise_polynomial’ in SciPy 0.18; backwards-compatible backwards-compatible with SciPy < 0.18 axis [{0 or ‘index’, 1 or ‘columns’, None}, default None] Axis to interpolate along. limit [int, optional] Maximum number of consecutive NaNs to fill. Must be greater than 0. interpolation method in scipy 0.18. New in version 0.18.1: Added support for the ‘akima’ method. Added interpo- late method ‘from_derivatives’ which replaces ‘piecewise_polynomial’ in SciPy 0.18; backwards-compatible

interpolation method in scipy 0.18. New in version 0.18.1: Added support for the ‘akima’ method. Added interpo- late method ‘from_derivatives’ which replaces ‘piecewise_polynomial’ in SciPy 0.18; backwards-compatible backwards-compatible with SciPy < 0.18 axis [{0 or ‘index’, 1 or ‘columns’, None}, default None] Axis to interpolate along. limit [int, optional] Maximum number of consecutive NaNs to fill. Must be greater than 0. interpolation method in scipy 0.18. New in version 0.18.1: Added support for the ‘akima’ method. Added interpo- late method ‘from_derivatives’ which replaces ‘piecewise_polynomial’ in SciPy 0.18; backwards-compatible

See The Salt for an example of what the salt is doing and how you can utilize it. New in version 0.18: algorithm was added as an argument to the class constructor. New in version 0.14: key_derivation Version 0.19 Released 2013-05-21 • Dropped support for 2.5 and added support for 3.3. 3.9.9 Version 0.18 Released 2013-05-03 • Added support for JSON Web Signatures (JWS). 3.9.10 Version 0.17 Released

losses 100.0% 0.0% 0.0% teju dragonbox ryu σ min median max relative mean 2.92 9.46 3.47 0.18 0.90 0.18 2.61 7.92 3.13 2.86 10.00 3.42 5.05 12.58 5.51 1.00 3.25 1.19 teju x ryu wins

interpolate.BPoly.from_derivatives which replaces ‘piecewise_polynomial’ interpolation method in scipy 0.18. axis [{0 or ‘index’, 1 or ‘columns’, None}, default None] Axis to interpolate along. limit [int interpolate.BPoly.from_derivatives which replaces ‘piecewise_polynomial’ interpolation method in scipy 0.18. axis [{0 or ‘index’, 1 or ‘columns’, None}, default None] Axis to interpolate along. limit [int 18)], ... columns=['dogs', 'cats']) >>> df dogs cats 0 0.21 0.32 1 0.01 0.67 2 0.66 0.03 3 0.21 0.18 By providing an integer each column is rounded to the same number of decimal places >>> df.round(1)

2, 2016) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2702 5.9 Version 0.18 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2747 interpolate.BPoly.from_derivatives which replaces ‘piecewise_polynomial’ interpolation method in scipy 0.18. axis [{0 or ‘index’, 1 or ‘columns’, None}, default None] Axis to interpolate along. limit [int interpolate.BPoly.from_derivatives which replaces ‘piecewise_polynomial’ interpolation method in scipy 0.18. axis [{0 or ‘index’, 1 or ‘columns’, None}, default None] Axis to interpolate along. limit [int

2, 2016) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2697 5.9 Version 0.18 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2742 interpolate.BPoly.from_derivatives which replaces ‘piecewise_polynomial’ interpolation method in scipy 0.18. axis [{0 or ‘index’, 1 or ‘columns’, None}, default None] Axis to interpolate along. limit [int interpolate.BPoly.from_derivatives which replaces ‘piecewise_polynomial’ interpolation method in scipy 0.18. axis [{0 or ‘index’, 1 or ‘columns’, None}, default None] Axis to interpolate along. limit [int