並び順

ブックマーク数

期間指定

  • から
  • まで

1 - 8 件 / 8件

新着順 人気順

syntax error invalid syntax python pip installの検索結果1 - 8 件 / 8件

  • March 2025 (version 1.99)

    Update 1.99.1: The update addresses these security issues. Update 1.99.2: The update addresses these issues. Update 1.99.3: The update addresses these issues. Downloads: Windows: x64 Arm64 | Mac: Universal Intel silicon | Linux: deb rpm tarball Arm snap Welcome to the March 2025 release of Visual Studio Code. There are many updates in this version that we hope you'll like, some of the key highligh

      March 2025 (version 1.99)
    • python_modules.pdf

      Python3 OpenCV / Pillow / pygame / Eel / PyDub / NumPy / matplotlib / SciPy / SymPy / gmpy2 / hashlib, passlib / Cython / Numba / ctypes / PyInstaller / curses / tqdm / JupyterLab / json / psutil / urllib / zenhan / jaconv Copyright © 2017-2025, Katsunori Nakamura 2025 8 19 Python ‘ .py’ Python Python Windows PSF Python py .py Enter macOS Linux PSF Python python3 .py Enter Anaconda Prompt Python p

      • BigQueryを補完する技術: DuckDBとDataflowでのデータ処理入門 - yasuhisa's blog

        背景 & Disclaimer DuckDB 概念や代表的なユースケース 使ってみる 1週間〜一ヶ月などある程度の期間、分析で使いたい場合 便利なCLIツールとして使う 所感 参考 Dataflow 代表的なユースケース 具体例 参考 背景 & Disclaimer BigQueryは非常に便利で、BigQueryにさえ上がってしまえばSQLで巨大なデータを簡単に相手にできます とはいえ、BigQueryに行きつくまでが大変な場合もありえます 例: 個人情報を含むsensitiveなデータで、BigQueryに気軽に上げられないケース 一時的であっても、相談なしにその手のデータを気軽にアップロードするのはやめてください... 数万件程度であれば手元のエクセルで開いて、問題ない行/列だけに絞る、ということもできるが、もっと量が多いデータだとそういうわけにもいかない。そもそも分析はSQLでやり

          BigQueryを補完する技術: DuckDBとDataflowでのデータ処理入門 - yasuhisa's blog
        • iOS Hacking - A Beginner’s Guide to Hacking iOS Apps [2022 Edition]

          My first post will be about iOS Hacking, a topic I’m currently working on, so this will be a kind of gathering of all information I have found in my research. It must be noted that I won’t be using any MacOS tools, since the computer used for this task will be a Linux host, specifically a Debian-based distribution, in this case, Kali Linux. I will also be using ‘checkra1n’ for the device jailbreak

          • September 2022 (version 1.72)

            Downloads: Windows: x64 Arm64 | Mac: Universal Intel silicon | Linux: deb rpm tarball Arm snap Update 1.72.1: The update addresses these security issues. Update 1.72.2: The update addresses these issues. Welcome to the September 2022 release of Visual Studio Code. There are many updates in this version that we hope you'll like, some of the key highlights include: Tool bar customization - Hide/show

              September 2022 (version 1.72)
            • Fixit 2: Meta’s next-generation auto-fixing linter

              Fixit is dead! Long live Fixit 2 – the latest version of our open-source auto-fixing linter. Fixit 2 allows developers to efficiently build custom lint rules and perform auto-fixes for their codebases. Fixit 2 is available today on PyPI. Python is one of the most popular languages in use at Meta. Meta’s production engineers (PEs) are specialized software engineers (SWEs) who focus on reliability,

                Fixit 2: Meta’s next-generation auto-fixing linter
              • JupyterLab Changelog — JupyterLab 4.5.0a3 documentation

                JupyterLab Changelog# v4.4# JupyterLab 4.4 includes a number of new features (described below), bug fixes, and enhancements. This release is compatible with extensions supporting JupyterLab 4.0. Extension authors are encouraged to consult the Extension Migration Guide which lists deprecations and changes to the public API. Code console improvements# The code console prompt can now be positioned on

                • Ruff: a fast Python linter

                  May 2, 2023 This article was contributed by Koen Vervloesem Linters are tools that analyze a program's source code to detect various problems such as syntax errors, programming mistakes, style violations, and more. They are important for maintaining code quality and readability in a project, as well as for catching bugs early in the development cycle. Last year, a new Python linter appeared: Ruff.

                  1