Python Windows向けのアプリ

Windowsfx

MATLAB

Intel Memory and Storage Tool

JJSploit

Android SDK

NetBeans IDE

ChatGPT Retrieval Plugin

Atom

CMake

R

Java 2 Runtime Environment

Numerical Python

Numerical Python（NumPy）は、Pythonを使用した科学計算用のパッケージです。 Python言語に高速で洗練された配列機能を追加します。 数値Pythonの内容： 強力なN次元配列オブジェクト。 高度な（放送）機能。 C / C ++とFortranコードを統合するためのツール。 便利な線形代数、フーリエ変換、および乱数機能。 数値Pythonは、汎用データの効率的な多次元コンテナとして使用できます。任意のデータ型を定義できます。これにより、NumPyはさまざまなデータベースとシームレスかつ迅速に統合できます。 MacバージョンのNumerical Pythonをお探しですか？ここからダウンロード

Learn Python

Pythonプログラミングのための包括的な学習ツール

Microsoft Silverlight

Microsoft Silverlightは、アニメーション、ベクターグラフィックス、オーディオビデオ再生などの機能を有効にして、リッチインターネットアプリケーションを体験できるプログラム可能なWebブラウザープラグインです。 Silverlightは、AJAX、VB、C＃、Python、Rubyをサポートし、既存のWebアプリケーションと統合する柔軟なプログラミングモデルを提供します。 Mac OSまたはWindowsで実行されているすべての主要なブラウザーへの高品質ビデオの高速で費用対効果の高い配信をサポートします。

Python Tools for Visual Studio

Python Tools for Visual Studio, or PTVS as it is more commonly known, is an open-source plug-in for Visual Studio that supports programming with the Python language. Key Features include: Supports IntelliSense editing. Interactive REPL’s with support for IPython. Microsoft Azure deployment support. Cross platform debugging support. Cross language debugging support. Python Tools for Visual Studio allows you to turn Visual Studio into a Python IDE. It supports IronPython, CPython, IPython, editing, profiling, browsing, IntelliSense,remote Linux/MacOS debugging, mixed Python/C++ debugging, and web development with frameworks such as Django. Python Tools for Visual Studio allows you to use an existing Python interpreter, such as CPython, IronPython, PyPy. It supports a broad range of features from editing with IntelliSense to interactive debugging, profiling, interactive REPLs with support for IPython, cross-platform and cross-language debugging support, and deployment to Microsoft Azure.

Thonny

Thonny: Pythonコーディングのための開発環境

DOS-on-USB

BIOS から DOS-On-USB へのサポート

Gnumeric

Gnumeric の代替 - 無料の Linux スプレッドシート ソフトウェア

Dia Diagram Editor

Dia Diagram Editor is an open-source visual-editing application, which can be used to draw numerous different kinds of diagrams. It currently has special objects to help draw entity relationship diagrams, UML diagrams, flowcharts, network diagrams, and many other diagrams. It is also possible to add support for new shapes by writing simple XML files, using a subset of SVG to draw the shape. It can load and save diagrams to a custom XML format, can export diagrams to a number of formats, including EPS, SVG, XFIG, WMF and PNG, and can print diagrams (including multiple pages). Dia Diagram Editor is capable of creating all manner of diagrams, from electronic circuit diagrams, and computer network diagrams to simple flowcharts for business projects. Key features include: Scriptable via Python. More than 1000 predefined objects and symbols. Easy to use (Recommended in 89% of the user ratings). Draw structured diagrams (flowcharts, network layouts, etc). Numerous import and export formats. Supports Windows, Mac OS X and Linux. Multi-language support. Dia Diagram Editor supports over 60 languages including Thai, Romanian, Korean, French, Ukrainian, Dutch, Polish, Irish Gaelic, Lithuanian, Mongolian, Slovene, Macedonian, Latvian, Czech, Finnish, Italian, Esperanto, Catalan, Greek, Marathi, Vietnamese, English, Serbian, Slovak, Chinese (Traditional), Belarusian, Galician, Bulgarian, Turkish, Indonesian, Malay, Norwegian, Brazilian Portuguese, Chinese (Simplified), Panjabi, Bosnian, German, Spanish, Arabic, Hungarian, and Basque (Euskara). Overall Dia Diagram Editor has a clean interface, extensive language support and a small footprint. It is relatively easy to use and you can export diagrams with a number of image formats, including Microsoft's premium visual-editing application, Visio.

Komodo Edit

パスワード データベースを Komodo Edit にインポートする方法

matplotlib

matplotlib is a python 2D plotting library that produces publication quality figures in a variety of hard copy formats and interactive environments across multiple platforms. The application can be used in python scripts, the python and IPython shell, web application servers, and six graphical user interface tool-kits. matplotlib tries to make easy things easier and hard things possible. With it, you can generate plots, histograms, power spectra, bar charts, error charts, scatter plots, etc, with only a few lines of code. For simple plotting the pyplot interface provides a MATLAB-like interface, particularly when combined with IPython. For the power user, you have full control of line styles, font properties, axes properties, etc, via an object oriented interface or via a set of functions familiar to MATLAB users.

PyScript

フリーで使えるPythonのIDE

SciPy

SciPy: 数学関数のための無料かつオープンソースのPythonライブラリ