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本次搜索耗时 0.298 秒,为您找到相关结果约 35 个.
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  • pdf文档 Istio 2021 Roadmap A heartwarming work of staggering predictability

    support ● 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
  • pdf文档 IstioCon 2021 Report

    Streaming and website Alberto Rodríguez Streaming Alex Palomo Speaker Advocacy Alma María Rinasz Promotion and social media Fernando Hernández Streaming Luis Sánchez Streaming Uriel García #IstioCon
    0 码力 | 18 页 | 912.89 KB | 1 年前
    3
  • pdf文档 IstioCon 2022 Report

    Streaming and website Alberto Rodríguez Streaming Ximena Cruz, Luis Sánchez Sponsors Norma Lopez Promotion Fernando Hernández, Montse Hernández Video edition Uriel García Attention to participants Teyza
    0 码力 | 20 页 | 2.44 MB | 1 年前
    3
  • pdf文档 《Efficient Deep Learning Book》[EDL] Chapter 7 - Automation

    evolutionary 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 survival
    0 码力 | 33 页 | 2.48 MB | 1 年前
    3
  • pdf文档 pandas: powerful Python data analysis toolkit - 0.19.0

    for 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 values
    0 码力 | 1937 页 | 12.03 MB | 1 年前
    3
  • pdf文档 pandas: powerful Python data analysis toolkit - 0.19.1

    for 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 values
    0 码力 | 1943 页 | 12.06 MB | 1 年前
    3
  • pdf文档 pandas: powerful Python data analysis toolkit - 0.20.3

    operators 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 values
    0 码力 | 2045 页 | 9.18 MB | 1 年前
    3
  • pdf文档 pandas: powerful Python data analysis toolkit - 0.20.2

    operators 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 values
    0 码力 | 1907 页 | 7.83 MB | 1 年前
    3
  • pdf文档 pandas: powerful Python data analysis toolkit - 0.21.1

    operators 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 values
    0 码力 | 2207 页 | 8.59 MB | 1 年前
    3
  • pdf文档 pandas: powerful Python data analysis toolkit - 0.7.1

    to 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 cast
    0 码力 | 281 页 | 1.45 MB | 1 年前
    3
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