Istio 2021 Roadmap A heartwarming work of staggering predictabilitysupport ● Secure by default ○ Secret Discovery Service (SDS) ○ Auto mTLS ● API and feature promotion ○ Networking/Security APIs ○ Virtual Machine expansion/Multi cluster mesh https://istio.io/ changes ● Measuring developer efficiency ○ Test flakes ○ Feature and code coverage ● Feature promotion efficacy ● Improving overall developer experience https://istio.io/latest/blog/2020/tradewinds-2020/0 码力 | 17 页 | 633.89 KB | 1 年前3
IstioCon 2021
ReportStreaming and website Alberto Rodríguez Streaming Alex Palomo Speaker Advocacy Alma María Rinasz Promotion and social media Fernando Hernández Streaming Luis Sánchez Streaming Uriel García #IstioCon0 码力 | 18 页 | 912.89 KB | 1 年前3
IstioCon 2022 ReportStreaming and website Alberto Rodríguez Streaming Ximena Cruz, Luis Sánchez Sponsors Norma Lopez Promotion Fernando Hernández, Montse Hernández Video edition Uriel García Attention to participants Teyza0 码力 | 20 页 | 2.44 MB | 1 年前3
《Efficient Deep Learning Book》[EDL] Chapter 7 - Automationevolutionary approaches which are based on biological mechanisms like mutation and natural selection. The promotion of better performing trials to the next iteration (round) can be viewed as selection or survival0 码力 | 33 页 | 2.48 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 0.19.0for different indexes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18 Series type promotion on assignment . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21 .to_datetime() changes operators * Comparison operators * Logical operators * Flexible comparison methods – Series type promotion on assignment – .to_datetime() changes – Merging changes – .describe() changes – Period changes dtype: bool Previously, this worked the same as comparison operators (see above). Series type promotion on assignment A Series will now correctly promote its dtype for assignment with incompat values0 码力 | 1937 页 | 12.03 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 0.19.1for different indexes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20 Series type promotion on assignment . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23 .to_datetime() changes (October 2, 2016) 5 pandas: powerful Python data analysis toolkit, Release 0.19.1 – Series type promotion on assignment – .to_datetime() changes – Merging changes – .describe() changes – Period changes dtype: bool Previously, this worked the same as comparison operators (see above). Series type promotion on assignment A Series will now correctly promote its dtype for assignment with incompat values0 码力 | 1943 页 | 12.06 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 0.20.3operators for different indexes . . . . . . . . . . . . . . . . . . . . . . . 67 1.6.2.3 Series type promotion on assignment . . . . . . . . . . . . . . . . . . . . . . . 70 1.6.2.4 .to_datetime() changes operators * Comparison operators * Logical operators * Flexible comparison methods – Series type promotion on assignment – .to_datetime() changes – Merging changes – .describe() changes – Period changes bool Previously, this worked the same as comparison operators (see above). 1.6.2.3 Series type promotion on assignment A Series will now correctly promote its dtype for assignment with incompat values0 码力 | 2045 页 | 9.18 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 0.20.2operators for different indexes . . . . . . . . . . . . . . . . . . . . . . . 65 1.5.2.3 Series type promotion on assignment . . . . . . . . . . . . . . . . . . . . . . . 68 1.5.2.4 .to_datetime() changes operators * Comparison operators * Logical operators * Flexible comparison methods – Series type promotion on assignment – .to_datetime() changes – Merging changes – .describe() changes – Period changes bool Previously, this worked the same as comparison operators (see above). 1.5.2.3 Series type promotion on assignment A Series will now correctly promote its dtype for assignment with incompat values0 码力 | 1907 页 | 7.83 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 0.21.1operators for different indexes . . . . . . . . . . . . . . . . . . . . . . . 96 1.8.2.3 Series type promotion on assignment . . . . . . . . . . . . . . . . . . . . . . . 99 1.8.2.4 .to_datetime() changes operators * Comparison operators * Logical operators * Flexible comparison methods – Series type promotion on assignment – .to_datetime() changes – Merging changes – .describe() changes – Period changes bool Previously, this worked the same as comparison operators (see above). 1.8.2.3 Series type promotion on assignment A Series will now correctly promote its dtype for assignment with incompat values0 码力 | 2207 页 | 8.59 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 0.7.1to a different dtype in order to store the NAs. These are summarized by this table: Typeclass Promotion dtype for storing NAs floating no change object no change integer cast to float64 boolean cast0 码力 | 281 页 | 1.45 MB | 1 年前3
共 35 条
- 1
- 2
- 3
- 4













