Juno – Python and Jupyter

Juno – Python and Jupyter

Coding with Python and Jupyter

开发者: Rational Matter

中国
APP ID 复制
1462586500
价格
免费
内购
0个评分
软件开发工具(免费)
昨日下载量
最近更新
2024-03-19
最早发布
2019-09-26
版本统计
  • 277天1小时

    最新版本上线距今

  • 2

    近1年版本更新次数

  • 2019-09-26

    全球最早版本上线日期

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  • 版本: 3.0.1

    版本更新日期

    2024-03-19

    Juno – Python and Jupyter

    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.

    视频/截图

    Juno – Python and Jupyter App 截图
    Juno – Python and Jupyter App 截图
    Juno – Python and Jupyter App 截图
    Juno – Python and Jupyter App 截图
    Juno – Python and Jupyter App 截图
    Juno – Python and Jupyter App 截图
    Juno – Python and Jupyter App 截图

    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.
  • 版本: 3.0.0

    版本更新日期

    2024-03-13

    Juno – Python and Jupyter

    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.

    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

    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.

    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: Jupyter/Python IDE

    Juno: Jupyter/Python IDE

    Python Coding and Data Science

    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.

    视频/截图

    Juno – Python and Jupyter App 截图
    Juno – Python and Jupyter App 截图
    Juno – Python and Jupyter App 截图
    Juno – Python and Jupyter App 截图
    Juno – Python and Jupyter App 截图

    应用描述

    Zero-setup Jupyter and 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.
  • 版本: 2.1.6

    版本更新日期

    2023-05-24

    Juno: Jupyter/Python IDE

    Juno: Jupyter/Python IDE

    Python Coding and Data Science

    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.

    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

    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.

    视频/截图

    Juno – Python and Jupyter App 截图
    Juno – Python and Jupyter App 截图
    Juno – Python and Jupyter App 截图
    Juno – Python and Jupyter App 截图
    Juno – Python and Jupyter App 截图

    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.
  • 版本: 2.1.4

    版本更新日期

    2023-04-22

    Juno: Jupyter/Python IDE

    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.

    视频/截图

    Juno – Python and Jupyter App 截图
    Juno – Python and Jupyter App 截图
    Juno – Python and Jupyter App 截图
    Juno – Python and Jupyter App 截图
    Juno – Python and Jupyter App 截图

    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.
  • 版本: 2.0.12

    版本更新日期

    2022-11-25

    Juno: Jupyter/Python IDE

    Juno: Jupyter/Python IDE

    Python Coding and Data Science

    更新日志

    What's new in 2.0.12:
    – Fixes several crashes on older versions of iOS;
    – Fixes a crash on previewing certain types of links in notebooks;
    – Fixes several minor code completion layout issues;
    – Makes sure notebook scrolls to caret on orientation changes;
    – Fixes certain settings not getting applied in new cells until the notebook reopens;
    – Makes sure notebook checkpoints are created and updated using the same logic as in JupyterLab and Jupyter Notebook, i.e. only when you explicitly select Save in menu;
    – Updates cell type icons and renames Markdown cell type to Markup Text.

    What's new in Juno 2.0:
    – Notebook editor: the notebook editing experience has been redesigned from the ground up into a highly configurable notebook workspace, ready to get customized around your personal workflow. The editor has a ton of new features: faster-loading notebooks, cell templates, better image viewer, better previews, easier text and selection manipulation, better keyboard and trackpad support, a ton of new settings, configuration and customisation options, new Find and Replace experience, new document management features — and a lot more! The new notebook editor absolutely shines on iPad, but will work great on iPhone, too.
    – Working directory file browser: seamlessly navigate, view and edit files and folders without leaving your notebook. It lets you manage files and directories, as well as perform other actions useful in the context of writing code and working on your notebooks: say, getting a relative path to a file or directory, or quickly editing contents of an arbitrary file as plain text.
    – Text editor: view and edit any file from your working directory in a built-in text editor with syntax highlighting, powerful Find and Replace, configurable view options, customisable toolbar and more!
    – A whole bunch of minor and major fixes around package manager, keyboard and trackpad handling, scrolling and notebook editor UI in general.
    Check out the docs on our website (or select Help in the app) to learn more about the new features and Juno's new notebook editor.

    Juno 2.0.12 *still* comes with Python 3.6 on board, but we begin testing Juno with Python 3.10 on TestFlight shortly, and will release it on App Store later this year as a free update.

    视频/截图

    Juno – Python and Jupyter App 截图
    Juno – Python and Jupyter App 截图
    Juno – Python and Jupyter App 截图
    Juno – Python and Jupyter App 截图
    Juno – Python and Jupyter App 截图

    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 that works with Jupyter notebooks — a document format with focus on applying Python to data analysis and computational science. Notebooks make great Python coding playgrounds for data manipulation and experiments, 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
    • Use Jupyter notebooks as programming and data science playgrounds
    • Leverage powerful data analysis and machine learning tools: NumPy, Matplotlib, SciPy, Scikit-learn, Pandas, LXML and others
    • Run Python code right on your iPhone or iPad in a first-class citizen native app, completely offline
    • Install pure Python packages easily with intuitive package manager
    • Take full advantage of your keyboard and trackpad in our full-featured code editor
    • Utilise full multitasking and multi-window capabilities on iPad


    WHAT ARE JUPYTER NOTEBOOKS?

    Jupyter notebook is a document format that allows storing live code, markdown text, plots, images and equations in LaTeX — all wrapped into a single notebook file. This makes Jupyter notebooks a great learning tool, whether you learn to code, or try to build and practice your data analysis skills.

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

    A notebook consists of a sequence of cells, each representing either a narrative text in a form of markdown text or HTML, or a coding script with a text or media output. This makes notebooks both human-readable documents with the analysis description and the results (figures, tables, etc), as well as executable scripts for data analysis or plain programming. You can use Jupyter notebook as a document with optional executable code in it, or simply as a programming playground for data manipulation and experiments.


    WHO IS JUNO FOR?

    Juno offers a great programming environment if you use (or learn to use) Python for data analysis, machine learning or computational science. Jupyter notebooks can be a great educational tool if you learn Python or want to practice coding, especially in the context of data science — this makes Juno both a perfect learning companion, and a great developer tool where you can practice your new programming and data analysis skills.
  • 版本: 2.0.11

    版本更新日期

    2022-11-21

    Juno: Jupyter/Python IDE

    Juno: Jupyter/Python IDE

    Python Coding and Data Science

    更新日志

    Welcome to the all-new Juno 2.0!

    What's new:
    – Notebook editor: the notebook editing experience has been redesigned from ground up into a highly configurable notebook workspace, ready to get customized around your personal workflow. The editor has a ton of new features: faster-loading notebooks, cell templates, better image viewer, better previews, easier text and selection manipulation, better keyboard and trackpad support, a ton of new settings, configuration and customisation options, new Find and Replace experience, new document management features — and a lot more! The new notebook editor absolutely shines on iPad, but will work great on iPhone, too.
    – Working directory file browser: seamlessly navigate, view and edit files and folders without leaving your notebook. It lets you manage files and directories, as well as perform other actions useful in the context of writing code and working on your notebooks: say, getting a relative path to a file or directory.
    – Text editor: view and edit any file from your working directory in a built-in text editor with syntax highlighting, powerful Find and Replace, configurable view options, customisable toolbar and more!
    – A whole bunch of minor and major fixes around package manager, keyboard and trackpad handling, iOS integration, text editing, and a ton of general quality of life improvements.
    Check out the docs on our website (or select Help in the app) to learn more about the new features and Juno's new notebook editor.

    Juno 2.0.11 *still* comes with Python 3.6 on board, but we begin testing Juno with Python 3.10 on TestFlight shortly, and will release it on App Store later this year as a free update.

    视频/截图

    Juno – Python and Jupyter App 截图
    Juno – Python and Jupyter App 截图
    Juno – Python and Jupyter App 截图
    Juno – Python and Jupyter App 截图
    Juno – Python and Jupyter App 截图

    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 that works with Jupyter notebooks — a document format with focus on applying Python to data analysis and computational science. Notebooks make great Python coding playgrounds for data manipulation and experiments!

    With Juno you can:

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


    WHAT ARE JUPYTER NOTEBOOKS?

    Jupyter notebook is a document format that allows storing live code, markdown text, plots, images and equations in LaTeX — all wrapped into a single notebook file. This makes Jupyter notebooks a great learning tool, whether you learn to code, or try to build and practice your data analysis skills.

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

    A notebook consists of a sequence of cells, each representing either a narrative text in a form of markdown text or HTML, or a coding script with a text or media output. This makes notebooks both human-readable documents with the analysis description and the results (figures, tables, etc), as well as executable scripts for data analysis or plain programming. You can use Jupyter notebook as a document with optional executable code in it, or simply as a programming playground for data manipulation and experiments.


    WHO IS JUNO FOR?

    Juno offers a great programming environment if you use (or learn to use) Python for data analysis, machine learning or computational science. Jupyter notebooks can be a great educational tool if you learn Python or want to practice coding, especially in the context of data science — this makes Juno both a perfect learning companion, and a great developer tool where you can practice your new programming and data analysis skills.
  • 版本: 1.5.4

    版本更新日期

    2022-09-17

    Juno: Jupyter/Python IDE

    Juno: Jupyter/Python IDE

    Python Coding and Data Science

    更新日志

    This release fixes several issues related to keyboard and scrolling.

    视频/截图

    Juno – Python and Jupyter App 截图
    Juno – Python and Jupyter App 截图
    Juno – Python and Jupyter App 截图
    Juno – Python and Jupyter App 截图
    Juno – Python and Jupyter App 截图

    应用描述

    Juno is a Python IDE that works with Jupyter notebooks — documents made specifically for applying Python to data analysis and computational science. They make great Python coding playgrounds for data manipulation and experiments.

    With Juno you can:

    • Start coding right away with our zero setup and user friendly Jupyter/Python IDE
    • Use Jupyter notebooks as programming and data science playgrounds
    • Leverage powerful data analysis and machine learning tools: NumPy, Matplotlib, SciPy, Scikit-learn, Pandas, LXML and others
    • Run Python code right on your iPhone or iPad, completely offline
    • Install and manage pure Python packages with our beautiful package manager
    • Take full advantage of your keyboard and trackpad in our full-featured code editor
    • Utilise full multitasking and multi-window capabilities on iPad


    WHAT ARE JUPYTER NOTEBOOKS?

    Jupyter notebook is a document format that allows storing live code, markdown text, plots, images and equations in LaTeX — all wrapped into a single notebook file. This makes Jupyter notebooks a great learning tool, whether you learn to code, or try to build and practice your data analysis skills.

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

    A notebook consists of a sequence of cells, each representing either a narrative text in a form of markdown text or HTML, or a coding script with a text or media output. This makes notebooks both human-readable documents with the analysis description and the results (figures, tables, etc), as well as executable scripts for data analysis or plain programming. You can use Jupyter notebook as a document with optional executable code in it, or simply as a programming playground for data manipulation and experiments.


    WHO IS JUNO FOR?

    Juno offers a great programming environment if you use (or learn to use) Python for data analysis, machine learning or computational science. Jupyter notebooks can be a great educational tool if you learn Python or want to practice coding, especially in the context of data science — this makes Juno both a perfect learning companion, and a great developer tool where you can practice your new programming and data analysis skills.