[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"package:cask:pycharm:es":3,"releases:stats:cask:pycharm:es":662,"dependencies:cask:pycharm:es:golden_gate":663},{"accentColor":4,"artifacts":5,"autoUpdates":52,"categories":53,"conflictsWith":59,"dependsOn":62,"deprecated":70,"description":71,"descriptionEn":72,"developer":73,"disabled":70,"displayName":74,"downloadSha256":75,"downloadSize":76,"downloadUrl":77,"editorChoice":70,"formulaeUrl":78,"homepage":79,"iconUrl":80,"installCommand":81,"installs":82,"installs30d":83,"isFont":70,"isLibrary":70,"kegOnly":70,"kind":86,"latestRelease":87,"machineTranslated":52,"name":74,"names":118,"platforms":120,"primaryCategory":635,"rank30d":636,"releaseCount":637,"releaseStats":638,"screenshots":644,"sourceLocale":111,"sourceUrl":652,"summary":653,"summaryTranslation":654,"supports":655,"tags":657,"tap":660,"token":27,"version":160,"versionChangedAt":661},"#0FCAC9",{"apps":6,"binaries":8,"entries":9,"pkgs":51},[7],"PyCharm.app",[],[10,17,24,33],{"declaration":11,"phase":15,"sources":16,"type":15},{"uninstall":12},[13],{"quit":14},"com.jetbrains.pycharm","uninstall",[],{"declaration":18,"phase":21,"sources":22,"target":20,"type":23},{"app":19,"target":20},[7],"\u002FApplications\u002FPyCharm.app","install",[7],"app",{"declaration":25,"phase":21,"sources":31,"target":30,"type":32},{"command_wrapper":26,"target":30},[27,28],"pycharm",{"executable":29},"$APPDIR\u002FPyCharm.app\u002FContents\u002FMacOS\u002Fpycharm","$HOMEBREW_PREFIX\u002Fbin\u002Fpycharm",[27],"command_wrapper",{"declaration":34,"phase":48,"sources":49,"type":50},{"zap":35},[36],{"trash":37},[38,39,40,41,42,43,44,45,46,47],"~\u002FLibrary\u002FApplication Support\u002FJetBrains\u002FPyCharm2026.2","~\u002FLibrary\u002FApplication Support\u002FPyCharm2026.2","~\u002FLibrary\u002FCaches\u002FJetBrains\u002FPyCharm2026.2","~\u002FLibrary\u002FLogs\u002FJetBrains\u002FPyCharm2026.2","~\u002FLibrary\u002FPreferences\u002Fcom.jetbrains.pycharm.plist","~\u002FLibrary\u002FPreferences\u002Fjetbrains.pc.*.plist","~\u002FLibrary\u002FPreferences\u002Fjetbrains.py.*.plist","~\u002FLibrary\u002FPreferences\u002Fjetbrains.pycharm.*.plist","~\u002FLibrary\u002FPreferences\u002FPyCharm2026.2","~\u002FLibrary\u002FSaved Application State\u002Fcom.jetbrains.pycharm.savedState","cleanup",[],"zap",[],true,[54],{"icon":55,"machineTranslated":52,"name":56,"slug":57,"sourceLocale":58},"lucide:code-xml","Herramientas de desarrollo","developer-tools","zh-CN",{"casks":60,"formulae":61},[],[],{"arch":63,"casks":66,"formulae":67,"requirements":68},[64,65],"arm64","x86_64",[],[],{"macos":69},{},false,"PyCharm es el entorno de desarrollo integrado de JetBrains para Python. Reúne edición de código, navegación, inspecciones, refactorización, depuración, pruebas, entornos y flujos de trabajo de control de versiones en una sola aplicación de escritorio. Es adecuado para desarrolladores de Python, estudiantes y profesionales de ciencia de datos; las herramientas avanzadas disponibles para desarrollo web, bases de datos y desarrollo remoto dependen de los derechos de uso de Pro seleccionados.\n\n## PyCharm unificado y funciones\nLa distribución actual de PyCharm combina los antiguos productos Community y Professional. Sus funciones básicas de desarrollo en Python siguen siendo gratuitas y de código abierto, incluida la compatibilidad con Jupyter Notebook. Una suscripción Pro desbloquea funciones adicionales. Al instalar PyCharm unificado, se inicia automáticamente una prueba de Pro de 30 días; cuando termina, puedes suscribirte o seguir usando las funciones básicas gratuitas. El nombre histórico del archivo de descarga profesional de este Cask no significa que las funciones básicas gratuitas no estén disponibles, y el producto unificado no debe describirse como la antigua Community Edition independiente, ya retirada.\n\nUsa el autocompletado y las inspecciones para encontrar posibles errores, navegar por los símbolos y refactorizar el código. Configura un intérprete y un entorno de Python, instala los paquetes que necesita un proyecto, ejecuta pruebas e inspecciona valores en el depurador. La compatibilidad con cuadernos integra los flujos de trabajo de ciencia de datos. Las herramientas de Git permiten ver diferencias, realizar commits y ejecutar operaciones remotas cuando Git y las credenciales necesarias del repositorio están configurados. Los frameworks web, las herramientas de bases de datos y los intérpretes remotos avanzados pueden requerir Pro y sus propios servicios externos; no incluyen suscripciones de alojamiento ni de bases de datos.\n\n## Instalación en Mac y entornos de ejecución\nInstala el Cask de Homebrew pycharm, descarga el DMG oficial correspondiente y mueve PyCharm a Aplicaciones, o gestiona el IDE mediante JetBrains Toolbox. Apple Silicon e Intel usan imágenes de disco nativas distintas. El DMG registrado de Apple Silicon 2026.2.3 tiene 1,221,864,868 bytes según la solicitud HEAD oficial; este es el tamaño de descarga, no el espacio que ocupa una vez instalado.\n\nLa guía de instalación actual de 2026.2 indica macOS 15 y 26, x86_64 o ARM64 con cuatro núcleos de CPU, 8 GB de RAM total con 3 GB disponibles para los procesos del IDE, 10 GB de espacio en disco y una pantalla de 1280×720. El Cask registrado no proporciona una versión mínima numérica de macOS, por lo que sus metadatos por sí solos no establecen la compatibilidad con versiones anteriores de macOS. Las distribuciones para Windows y Linux son independientes.\n\nJetBrains Runtime, basado en JBR 21, está incluido, por lo que no se necesita una instalación independiente de Java para iniciar el IDE. Este entorno de ejecución de Java no sustituye al intérprete de Python que ejecuta el código de un proyecto. Configura una instalación local de Python adecuada, un entorno virtual o un intérprete remoto compatible; los proyectos también necesitan sus propias bibliotecas y herramientas. La guía actual indica compatibilidad con Python 2.7 y Python 3.9–3.15. Docker, SSH, los SDK de la nube y las bibliotecas de GPU solo son necesarios para los flujos de trabajo que los utilizan, no para todos los proyectos locales de Python.\n\n## Acceso, plugins y confianza en los proyectos\nEjecutar o depurar código, instalar paquetes de Python, ejecutar comandos de terminal y usar plugins puede ejecutar programas con los permisos de tu usuario local. Confía solo en proyectos y extensiones cuyo origen hayas revisado. Las operaciones con repositorios, los intérpretes remotos y las bases de datos pueden usar credenciales y modificar recursos remotos. El acceso a archivos de carpetas protegidas de macOS puede requerir autorización; no se documenta que la edición general de Python requiera acceso a Grabación de pantalla o Accesibilidad. El Cask no enumera conflictos explícitos, pero los entornos de Python instalados, los plugins y los ajustes anteriores de PyCharm siguen requiriendo una configuración cuidadosa.\n\n## Cuentas, licencias y servicios en línea\nLas funciones básicas gratuitas pueden seguir usándose después de la prueba de Pro sin una suscripción de pago. La activación de Pro de pago utiliza una licencia o cuenta de JetBrains válida, o un mecanismo de licencias compatible de una organización. Los precios, los requisitos de acceso educativo y las condiciones comerciales varían; la descarga del IDE no da acceso a todos los plugins de pago ni a todos los servicios externos. La distribución unificada incluye componentes básicos gratuitos de código abierto y funciones propietarias con licencias independientes, por lo que el paquete completo no debe presentarse como software íntegramente bajo licencia Apache ni como software de código abierto sin restricciones.\n\nJetBrains AI y los servicios alojados de colaboración o acceso remoto tienen requisitos de acceso, cuotas y condiciones de privacidad independientes. Activar una integración de IA en línea o en la nube puede enviar código o contexto del proyecto a un servicio; no supongas que estas funciones se ejecutan solo en el Mac. La edición local y los proyectos de Python ejecutados localmente son distintos de esos servicios opcionales.\n\nFuentes oficiales: [Instalación](https:\u002F\u002Fwww.jetbrains.com\u002Fhelp\u002Fpycharm\u002Finstallation-guide.html), [PyCharm unificado](https:\u002F\u002Fwww.jetbrains.com\u002Fhelp\u002Fpycharm\u002Funified-pycharm.html), [Inicio rápido](https:\u002F\u002Fwww.jetbrains.com\u002Fhelp\u002Fpycharm\u002Fquick-start-guide.html), [Registro](https:\u002F\u002Fwww.jetbrains.com\u002Fhelp\u002Fpycharm\u002Fregister.html), [Descargas](https:\u002F\u002Fwww.jetbrains.com\u002Fpycharm\u002Fdownload\u002F).","IDE for professional Python 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dict a TypedDict o None.\n\n### Entornos\n- Corregir la creación de entornos uv cuando UV_PROJECT_ENVIRONMENT está definida.\n\n### Jupyter\n- Restaurar las variables con un intérprete conda remoto.\n\n### Ruff\n- Corregir los fallos en bucle de la integración de Ruff con Ruff 0.16.5 o posterior.\n\nNotas de la versión específicas: https:\u002F\u002Fyoutrack.jetbrains.com\u002Farticles\u002FPY-A-233538615","2026-09-18T16:38:44Z",1727,"0001-01-01T00:00:00Z",[93,98,102,106],{"area":94,"items":95},"Tipado",[96,97],"Preferir las anotaciones de tipo a los tipos de las cadenas de documentación de NumPy.","Corregir las advertencias de tipo falsas al pasar un dict a TypedDict o None.",{"area":99,"items":100},"Entornos",[101],"Corregir la creación de entornos uv cuando UV_PROJECT_ENVIRONMENT está definida.",{"area":103,"items":104},"Jupyter",[105],"Restaurar las variables con un intérprete conda remoto.",{"area":107,"items":108},"Ruff",[109],"Corregir los bucles de fallos de la integración de 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