【Juno – Python and Jupyter】版本记录-iOSApp版本更新记录-七麦数据

Juno – Python and Jupyter

Coding with Python and Jupyter

开发者: Rational Matter

APP ID 复制

1462586500

分类

软件开发工具

价格

免费

内购

1项

0个评分

软件开发工具(免费)

第20名

昨日下载量

最近更新

2024-09-29

最早发布

2019-09-26

版本统计

55天4小时

最新版本上线距今
6

近1年版本更新次数
2019-09-26

全球最早版本上线日期

版本记录

版本: 3.3.0

版本更新日期

2024-09-29
Juno – Python and Jupyter

Coding with Python and Jupyter
更新日志

What's new in 3.3:

– Improves package manager compatibility, adding support for certain packages that previously failed to install (e.g., PyTensor).
– Fixes several crashes in the Python runtime.
– Fixes handling of line endings in the Python source editor, which could sometimes cause broken comment toggling.
– Adds hardware keyboard shortcuts in the Python source editor (hold the ⌘ Command key to view all available shortcuts).
– Applies various UI touch-ups and improvements throughout the app.

暂无更新日志数据
视频/截图
- iPhone
- iPad
应用描述

Zero-setup Python environment and developer toolbox in a first-class citizen app for iPad and iPhone.

Juno is designed to cover all your Python coding needs, and will work seamlessly with all source code formats. Juno supports both Python scripts (.py) and Jupyter notebooks (.ipynb) — a document format focused on applying Python to data analysis and computational science.

FREE FEATURES

- Navigate and manage files and folders, quickly preview documents and media
- Browse and view Jupyter notebooks with quick and beautifully rendered previews
- Navigate through code sources, scripts, JSON, XML, and other text-based formats with rich previews and syntax highlighting
- Add quick access bookmarks for file system locations outside the app's sandbox, or simply open documents in place

PRO FEATURES

- Run code in Jupyter notebooks and Python sources locally on your device with a built-in Python 3.10 interpreter, entirely offline
- Write and execute Python code in a full-fledged development environment, featuring snappy, intelligent code completion and a console with full terminal emulator support
- Access all Jupyter features in a modern, powerful and customizable notebook editor
- Leverage powerful data analysis, machine learning and developer tools: NumPy, Matplotlib, SciPy, Scikit-learn, Pandas, LXML, and more
- View and edit any file as text in a built-in versatile plain text editor with syntax highlighting
- Enjoy painless package management: easily install any pure Python package with an intuitive package manager

PYTHON SCRIPTS

Python scripts are plain-text Python source code files with a .py extension. Juno lets you work on these with snappy code completion, a console with full terminal emulator support, a built-in media viewer for code-generated images, plots, web apps, and more. Juno will execute the code using an embedded Python interpreter, locally on your iPhone or iPad and completely offline.

JUPYTER NOTEBOOKS

A Jupyter notebook is a versatile document format that enables you to store live code, markdown text, plots, images, and LaTeX equations — all within a single notebook file with a .ipynb extension. Notebooks serve as excellent Python coding playgrounds for data manipulation and experimentation, and Juno makes working with them a breeze!

Notebook documents keep a record of all inputs and outputs from an interactive programming session, and the rich output generated by running Python scripts (including HTML, images, video, and plots) is embedded within the Jupyter notebook document. They are particularly convenient for coding in Python for data analysis, machine learning, or computational science in general.

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版本: 3.2.0

版本更新日期

2024-07-28

Juno – Python and Jupyter

Coding with Python and Jupyter

更新日志

What's new in 3.2:

– Adds orjson, optree, ml_dtypes and psutil packages.
– Optimises runtime resources, so Juno now takes up less device storage and installs more quickly.
– Improves handling of console output when running Python scripts.
– Fixes several crashes in the Python runtime.

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应用描述

暂无应用描述数据
版本: 3.1.0

版本更新日期

2024-05-30

Juno – Python and Jupyter

Coding with Python and Jupyter

更新日志

What's new in 3.1:

- Adds pytables, numexpr and peewee.
- Resolves dependencies for upgrading yfinance.
- Fixes notebook JSON getting minified on save.
- Fixes the app crashing in some cases after restoring device from backup.
- Fixes several crashes in Python runtime and lxml.
- Fixes a couple of minor UI issues.

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应用描述

暂无应用描述数据
版本: 3.0.1

版本更新日期

2024-03-19
Juno – Python and Jupyter

Coding with Python and Jupyter
更新日志

What's new in 3.0.1:

- Fixes multiple windows support;
- Fixes several minor UI issues.

Juno 3.0 marks a significant milestone in Python coding experience on iPad and iPhone! We've expanded beyond the Jupyter environment to include a full-fledged Python IDE — it’s specifically designed to make working with .py sources on your iOS devices intuitive and seamless, with as few compromises as possible. This first release already packs a bunch:

- A fast and versatile code editor;
- Snappy, intelligent code completion;
- A console with full terminal emulator support;
- A built-in media viewer for code outputs, perfect for displaying Pillow-generated images, Matplotlib plots, Bokeh and Flask web apps, and more.

Juno 3.0 also brings a whole new file navigation experience with rich document previews, featuring beautifully rendered Jupyter notebooks, syntax highlighting for source code and text-based formats, and Quick Look for most popular document types and media. Add quick access bookmarks for any file system location, or just open any document in place for preview and editing.

Juno 3.0 adds several new packages too, including pyarrow and h5py for HDF5 support.

暂无更新日志数据
视频/截图
- iPhone
- iPad
应用描述

Zero-setup Python environment and developer toolbox in a first-class citizen app for iPad and iPhone.

Juno is designed to cover all your Python coding needs, and will work seamlessly with all source code formats. Juno supports both Python scripts (.py) and Jupyter notebooks (.ipynb) — a document format focused on applying Python to data analysis and computational science.

FREE FEATURES

- Navigate and manage files and folders, quickly preview documents and media
- Browse and view Jupyter notebooks with quick and beautifully rendered previews
- Navigate through code sources, scripts, JSON, XML, and other text-based formats with rich previews and syntax highlighting
- Add quick access bookmarks for file system locations outside the app's sandbox, or simply open documents in place

PRO FEATURES

- Run code in Jupyter notebooks and Python sources locally on your device with a built-in Python interpreter, entirely offline
- Write and execute Python code in a full-fledged development environment, featuring snappy, intelligent code completion and a console with full terminal emulator support
- Access all Jupyter features in a modern, powerful and customizable notebook editor
- Leverage powerful data analysis, machine learning and developer tools: NumPy, Matplotlib, SciPy, Scikit-learn, Pandas, LXML, and more
- View and edit any file as text in a built-in versatile plain text editor with syntax highlighting
- Enjoy painless package management: easily install any pure Python package with an intuitive package manager

PYTHON SCRIPTS

Python scripts are plain-text Python source code files with a .py extension. Juno lets you work on these with snappy code completion, a console with full terminal emulator support, a built-in media viewer for code-generated images, plots, web apps, and more. Juno will execute the code using an embedded Python interpreter, locally on your iPhone or iPad and completely offline.

JUPYTER NOTEBOOKS

A Jupyter notebook is a versatile document format that enables you to store live code, markdown text, plots, images, and LaTeX equations — all within a single notebook file with a .ipynb extension. Notebooks serve as excellent Python coding playgrounds for data manipulation and experimentation, and Juno makes working with them a breeze!

Notebook documents keep a record of all inputs and outputs from an interactive programming session, and the rich output generated by running Python scripts (including HTML, images, video, and plots) is embedded within the Jupyter notebook document. They are particularly convenient for coding in Python for data analysis, machine learning, or computational science in general.

暂无应用描述数据
版本: 3.0.0

版本更新日期

2024-03-13

Juno – Python and Jupyter

Coding with Python and Jupyter

更新日志

Juno 3.0 marks a significant milestone in Python coding experience on iPad and iPhone! We've expanded beyond the Jupyter environment to include a full-fledged Python IDE — it’s specifically designed to make working with .py sources on your iOS devices intuitive and seamless, with as few compromises as possible. This first release already packs a bunch:

- A fast and versatile code editor;
- Snappy, intelligent code completion;
- A console with full terminal emulator support;
- A built-in media viewer for code outputs, perfect for displaying Pillow-generated images, Matplotlib plots, Bokeh and Flask web apps, and more.

Juno 3.0 also brings a whole new file navigation experience with rich document previews, featuring beautifully rendered Jupyter notebooks, syntax highlighting for source code and text-based formats, and Quick Look for most popular document types and media. Add quick access bookmarks for any file system location, or just open any document in place for preview and editing.

Juno 3.0 adds several new packages too, including pyarrow and h5py for HDF5 support.

暂无更新日志数据

应用描述

暂无应用描述数据
版本: 2.1.8

版本更新日期

2023-12-08

Juno – Python and Jupyter

Coding with Python and Jupyter

更新日志

What's new in Juno 2.1.8:

- Fixed a crash that could occur when the app got suspended in the background;
- Resolved several crashes and memory issues related to the lxml library.

暂无更新日志数据

应用描述

暂无应用描述数据
版本: 2.1.7

版本更新日期

2023-10-22

Juno – Python and Jupyter

Coding with Python and Jupyter

更新日志

What's new in Juno 2.1.7:

- Added new packages: immutables, frozendict, and pydantic;
- Updated lxml to version 4.9.3;
- Fixed an issue where the kernel was not getting interrupted when requested;
- Fixed several issues around restoring interpreter session and handling package metadata.

暂无更新日志数据

应用描述

暂无应用描述数据
版本: 2.1.6

版本更新日期

2023-05-24

Juno – Python and Jupyter

Coding with Python and Jupyter

更新日志

What's new in Juno 2.1.6:

- Fixes an error when importing certain Bokeh submodules;
- Fixes several errors related to installing pure Python packages with optional native extensions.

What's new in Juno 2.1:

- Python upgraded to 3.10 and pinned packages updated to their latest releases;
- New packages: 'openai' (for accessing OpenAI APIs), 'tiktoken' (tokenization for OpenAI models), and their dependencies (including 'aiohttp', 'yarl', 'frozenlist', 'multidict', and more);
- Better performance: Improved background app persistence, faster kernel start-ups, and reduced notebook loading times;
- Easier package management: Now you can delete and upgrade many pre-installed packages (some will remain pinned, e.g. packages that Juno uses internally);
- Streamlined navigation: Swipe from the left screen edge in the notebook editor to reveal the working directory navigator on iPhone (you can configure default presentation style in settings);
- A whole bunch of fixes for crashes and bugs, as well as many less prominent enhancements and general quality of life improvements.

暂无更新日志数据

应用描述

暂无应用描述数据
版本: 2.1.5

版本更新日期

2023-05-03
Juno: Jupyter/Python IDE

Python Coding and Data Science
更新日志

Juno 2.1 comes with an upgraded Python environment, significant performance and stability improvements, new packages (including 'openai' for accessing ChatGPT and DALL-E APIs), and much more.

What's new in Juno 2.1.5:

- Fixes several crashes related to background persistence and addresses a couple of issues in the package manager, improving the handling of packages without wheel distributions.

What's new in Juno 2.1:

- Python upgraded to 3.10 and pinned packages updated to their latest releases;
- New packages: 'openai' (for accessing OpenAI APIs), 'tiktoken' (tokenization for OpenAI models), and their dependencies (including 'aiohttp', 'yarl', 'frozenlist', 'multidict', and more);
- Better performance: Improved background app persistence, faster kernel start-ups, and reduced notebook loading times;
- Easier package management: Now you can delete and upgrade many pre-installed packages (some will remain pinned, e.g. packages that Juno uses internally);
- Streamlined navigation: Swipe from the left screen edge in the notebook editor to reveal the working directory navigator on iPhone (you can configure default presentation style in settings);
- A whole bunch of fixes for crashes and bugs, as well as many less prominent enhancements and general quality of life improvements.

暂无更新日志数据
视频/截图
- iPhone
- iPad
应用描述

Juno — zero-setup Jupyter/Python environment in a first-class citizen app for iPad and iPhone.

Juno is a Python IDE designed to work seamlessly with Jupyter notebooks — a document format focused on applying Python to data analysis and computational science. Notebooks serve as excellent Python coding playgrounds for data manipulation and experimentation, and Juno makes working with them a breeze!

With Juno, you can:

• Start coding right away with our zero-setup and user-friendly Jupyter/Python IDE
• Utilize Jupyter notebooks as programming and data science playgrounds
• Leverage powerful data analysis and machine learning tools: NumPy, Matplotlib, SciPy, Scikit-learn, Pandas, LXML, and more
• Execute Python code directly on your iPhone or iPad in a first-class native app, entirely offline
• Effortlessly install pure Python packages with an intuitive package manager
• Take full advantage of your keyboard and trackpad in our full-featured code editor
• Embrace full multitasking and multi-window capabilities on iPad

WHAT ARE JUPYTER NOTEBOOKS?

A Jupyter notebook is a versatile document format that enables you to store live code, markdown text, plots, images, and LaTeX equations — all within a single notebook file. This versatility makes Jupyter notebooks an exceptional learning tool, whether you're learning to code or honing your data analysis skills.

Notebook documents keep a record of all inputs and outputs from an interactive programming session, and the rich output generated by running Python scripts (including HTML, images, video, and plots) is embedded within the Jupyter notebook document. They are particularly convenient for coding in Python for data analysis, machine learning, or computational science in general.

A notebook comprises a sequence of cells, each representing either narrative text in markdown or HTML format, or a coding script with text or media output. This structure makes notebooks both human-readable documents containing analysis descriptions and results (figures, tables, etc.), as well as executable scripts for data analysis or general programming. You can use a Jupyter notebook as a document with optional executable code, or simply as a programming playground for data manipulation and experimentation.

WHO IS JUNO FOR?

Juno provides an exceptional programming environment for those using (or learning to use) Python for data analysis, machine learning, or computational science. Jupyter notebooks serve as an excellent educational tool for learning Python or practicing coding, especially in the context of data science. This makes Juno a perfect learning companion and a powerful developer tool for honing your programming and data analysis skills.

暂无应用描述数据
版本: 2.1.4

版本更新日期

2023-04-22
Juno: Jupyter/Python IDE

Python Coding and Data Science
更新日志

Juno 2.1 comes with an upgraded Python environment, significant performance and stability improvements, new packages (including 'openai' for accessing ChatGPT and DALL-E APIs), and much more.

What's new in Juno 2.1:

- Python upgraded to 3.10 and pinned packages updated to their latest releases;
- New packages: 'openai' (for accessing OpenAI APIs), 'tiktoken' (tokenization for OpenAI models), and their dependencies (including 'aiohttp', 'yarl', 'frozenlist', 'multidict', and more);
- Better performance: Improved background app persistence, faster kernel start-ups, and reduced notebook loading times;
- Easier package management: Now you can delete and upgrade many pre-installed packages (some will remain pinned, e.g. packages that Juno uses internally);
- Streamlined navigation: Swipe from the left screen edge in the notebook editor to reveal the working directory navigator on iPhone (you can configure default presentation style in settings);
- A whole bunch of fixes for crashes and bugs, as well as many less prominent enhancements and general quality of life improvements.

暂无更新日志数据
视频/截图
- iPhone
- iPad
应用描述

Juno — zero-setup Jupyter/Python environment in a first-class citizen app for iPad and iPhone.

Juno is a Python IDE designed to work seamlessly with Jupyter notebooks — a document format focused on applying Python to data analysis and computational science. Notebooks serve as excellent Python coding playgrounds for data manipulation and experimentation, and Juno makes working with them a breeze!

With Juno, you can:

• Start coding right away with our zero-setup and user-friendly Jupyter/Python IDE
• Utilize Jupyter notebooks as programming and data science playgrounds
• Leverage powerful data analysis and machine learning tools: NumPy, Matplotlib, SciPy, Scikit-learn, Pandas, LXML, and more
• Execute Python code directly on your iPhone or iPad in a first-class native app, entirely offline
• Effortlessly install pure Python packages with an intuitive package manager
• Take full advantage of your keyboard and trackpad in our full-featured code editor
• Embrace full multitasking and multi-window capabilities on iPad

WHAT ARE JUPYTER NOTEBOOKS?

A Jupyter notebook is a versatile document format that enables you to store live code, markdown text, plots, images, and LaTeX equations — all within a single notebook file. This versatility makes Jupyter notebooks an exceptional learning tool, whether you're learning to code or honing your data analysis skills.

Notebook documents keep a record of all inputs and outputs from an interactive programming session, and the rich output generated by running Python scripts (including HTML, images, video, and plots) is embedded within the Jupyter notebook document. They are particularly convenient for coding in Python for data analysis, machine learning, or computational science in general.

A notebook comprises a sequence of cells, each representing either narrative text in markdown or HTML format, or a coding script with text or media output. This structure makes notebooks both human-readable documents containing analysis descriptions and results (figures, tables, etc.), as well as executable scripts for data analysis or general programming. You can use a Jupyter notebook as a document with optional executable code, or simply as a programming playground for data manipulation and experimentation.

WHO IS JUNO FOR?

Juno provides an exceptional programming environment for those using (or learning to use) Python for data analysis, machine learning, or computational science. Jupyter notebooks serve as an excellent educational tool for learning Python or practicing coding, especially in the context of data science. This makes Juno a perfect learning companion and a powerful developer tool for honing your programming and data analysis skills.

暂无应用描述数据