Сразу хочу сказать, что я новичок в плане написание статей на Хабре, если есть какие-то недочеты — добро пожаловать в коменты 
Что такое этот ваш jupyter notebook?
Jupyter-ноутбук — это среда разработки, где сразу можно видеть результат выполнения кода и его отдельных фрагментов. Отличие от традиционной среды разработки в том, что код можно разбить на куски и выполнять их в произвольном порядке. Представьте, что вы можете написать кусочек кода на салфетке и сказать салфетке: «Выполнись».
Немного объясню по подробнее, jupyter notebook это своего рода python, только модифицированный. Представьте, что Вам нужно на основе результатов предикта построить график, или допустим у Вас есть какая-та модель, и на основе её надо построить график в matplotlib или seoborn. Если база данных большая, то что бы изменить какую-лиюо строчку, или слой в модели и заново все просчитать потребуется много времени. С ipynb же вы можете загрузить допустим датасет один раз, и дальше не делать это повторно при рестарте кода. Здорово же!)
Как открывать и где писать код .ipynb
Существует множество редакторов для формата ipynb, но зачастую подготовка к кодингу занимает много времени, я же предлагаю воспользоваться Visual Studio Code.
Я думаю многие знакомы с такой программой как Vs code. Лично я был приверженец PyCharm, и к Vs относился не очень, но когда я первый раз попробовал покодить в ней , я сразу понял, что буду делать это в ней всегда)
Кто не знает или не работал с Vs, установить ее можно по этой ссылке.
Дальше следует установить python и подключить его к vs.
Когда у нас есть vs с подключенным python мы можем приступить к скачиванию jupyter notebook. Сделать это можно перейдя к вкладке Extensions в панели слева или нажав Ctrl+Shift+X
Там будет поле поиска в которое нужно забить слово Jupyter. Из всех плагинов надо выбрать этот. И нажать Install. Собственно все) Теперь надо лишь дождаться уведомления о том, что плагин скачен.
Самое интересное. Начало кодинга
Я буду использовать датасет про уровень счастья в разных годах и странах, и уровень доллара.
Для начала нам нужно создать новый файл с расширением .ipynb. Открыть его, и мы увидим это.
Для начала пропишем подключение библиотек — мне понадобятся эти
pandas — для загрузки csv датасета
остальное для получения красивых графиков
По нажатию на зеленый треугольник мы загрузим эти библиотеки, тут и начинается магия jupyter. Мы импортируем библиотеки, и все мы больше не должны тратить на это время.
Дальше с помощью не хитрых функций seaborn, matplotlib мы получаем вот такие графики —
Но вся прелесть не только в этом, в итоге мы получаем файл с кодом и картинками в нем! Теперь если мы хотим выложить это на гитхаб у нас будут красивый код с картинками
2-я часть выйдет скоро, она будет про дополнительную библиотеку Ipython.
Opening IPYNB files, which are Jupyter Notebook files, is crucial for anyone involved in data science, machine learning, or programming.
This guide provides a thorough walkthrough on accessing these files across various platforms and tips to enhance your user experience.
Understanding IPYNB Files
Definition of IPYNB Files
IPYNB stands for Interactive Python Notebook, a file format created by Jupyter that integrates code with rich text elements, enabling effective data analysis and visualization.
Common Uses of IPYNB Files
- Data exploration and analysis: IPYNB files allow users to run code in real-time, visualising changes immediately.
- Visualisation of data insights: With IPYNB, creating plots and graphs is straightforward, helping to interpret data effectively.
- Sharing reproducible research: Jupyter Notebooks make it easy to share work with peers, ensuring that research can be replicated and verified.
How to Open IPYNB Files
Opening IPYNB Files on Windows
Using Jupyter Notebook
- Install Anaconda or Jupyter: Download Anaconda or install Jupyter via the Python package manager.
- Launch Command Prompt: Type `jupyter notebook`.
- Access Jupyter Interface: A new browser window will open where you can navigate to your IPYNB file and open it.
Using Google Colab
- Visit Google Colab: Go to Google Colab.
- Upload Your Notebook: Select “File” > “Upload Notebook,” then choose your IPYNB file to open it.
Opening IPYNB Files on Mac
Using Jupyter Notebook
- Follow the same steps as for Windows. Make sure Jupyter is installed via Anaconda or pip.
Using Visual Studio Code
- Install VS Code: Download Visual Studio Code from its official site.
- Add Extensions: Install the Python and Jupyter extensions.
- Open IPYNB File: Use VS Code to directly edit and run code cells within your IPYNB file.
Opening IPYNB Files on iOS
Using Juno App
- Download the Juno app from the App Store to handle Jupyter Notebooks on your iPad or iPhone.
- Open the app and upload your IPYNB file to start editing and executing code.
Opening IPYNB Files on Android
Using Carnets App
- Install the Carnets app from the Google Play Store, enabling Jupyter notebook functionality on Android devices.
- Load your IPYNB file within the app for an interactive coding experience.
Troubleshooting Common Issues
IPYNB File Won’t Open
- Check if the file is corrupted, or ensure Jupyter is properly installed.
- Verify compatibility between your software versions and the IPYNB file format.
Compatibility Problems
- If you encounter issues, consider using Google Colab as an alternative platform, or make sure your Jupyter installation is up to date.
Conclusion
Effectively opening IPYNB files across multiple platforms is essential for successfully managing your data science projects.
By familiarizing yourself with the necessary tools and methods outlined in this guide, you can streamline your workflow and enhance your productivity with Jupyter Notebooks.
FAQs
What software is required to open IPYNB files?
You primarily need Jupyter Notebook, Anaconda, or a compatible text editor like Visual Studio Code.
Can I open IPYNB files on a mobile device?
Yes, apps like Juno (for iOS) and Carnets (for Android) allow for opening and editing IPYNB files on mobile devices.
What should I do if my IPYNB file does not display correctly?
Ensure you’re using the latest version of Jupyter or the application you’re using. Additionally, try accessing the file in a different app or browser for better compatibility.
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Introduction: What is .ipynb file?
.ipynb stands for “Interactive Python Notebook”, the file format of Jupyter Notebook.
One of the remarkable features is its cell-based interface. It allows users to see the output of each individual block of code. Therefore, it is simpler to trace the flow of execution, identify errors and debug issues by using the notebook.
Have a taste of Jupyter Notebook here!
Jupyter Notebook is one of the popular tools among researchers working on humanities analysis due to its ability to facilitate interactive data exploration and visualization. In this article, we will introduce several free and easy-to-use methods to open Jupyter Notebooks. Whether you are a humanities scholar, a data scientist, or a curious learner, Jupyter Notebooks offer a convenient and interactive environment for conducting data-driven research and analysis.
Open .ipynb files online
1. Google Colab
https://colab.research.google.com/
One of the easiest ways to open an .ipynb file is by using Google Colab. Simply drag and drop the file to your Google Drive. Then, double click the file, or right click and choose “Open with” → “Google Colaboratory” to open the file.
Create new .ipynb file in Google Colab
To create a new .ipynb file, click the “+ New” button on the upper left corner, and select “Google Colaboratory“.
Edit Colab Notebook Appearance
Go to “Settings” by clicking the gear icon on the upper right corner, you can customize the notebook appearance.
Theme
Settings → “Site” → choose light or dark theme
Enable Corgi / Kitty / Crab mode
Settings → “Miscellaneous” → tick to add dogs, cats or crabs on your screen for extra fun!
Enable free GPU and TPU in your notebook
Google Colab also provides free access to some computational resources, such as GPU and TPU.
Choose “Runtime” in the menu → “Change runtime type” → “Hardware accelerater” (you may choose None/GPU/TPU)
Open .ipynb files locally
You may also run Jupyter Notebook locally on your computer using the following softwares.
1. Anaconda
Anaconda simplifies the installation and management of software packages for Python programming language. You can easily launch applications and manage conda environments without using command line commands in Anaconda Navigator.
You may download and Install Anaconda here: https://www.anaconda.com/download
Click the “Launch” button for launching Jupyter Notebook.
To create a new .ipynb file, click “New” → “Python 3” in the upper right corner.
To open an existing .ipynb file, simply click to open the file as shown on the page.
Anaconda is also available in the HKUST Virtual Barn (see more details from the ITSO’s manual about virtual barn).
HKUST students can quickly access computer barn software from anywhere at anytime using their own devices, or access it from all computer barn’s PC, or find any one of the virtual barn workstations around the campus to access it.
2. VS Code
https://code.visualstudio.com/
Visual Studio Code (VS Code) is a lightweight free source code editor made by Microsoft.
To open Jupyter notebook in VS Code, click the extension icon on the left menu bar, and install the following extensions/plugins:
– Jupyter
– Python
You should then be able to run the Jupyter Notebook in VS Code.
VS Code is also available in the HKUST Virtual Barn (see more details from the ITSO’s manual about virtual barn).
HKUST students can quickly access computer barn software from anywhere at anytime using their own devices, or access it from all computer barn’s PC, or find any one of the virtual barn workstations around the campus to access it.
Stay tuned
A series of hands-on guides on Python and different DH tools is coming soon. Stay tuned!
– By Holly Chan, Library
August 2, 2023
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Did you ever get an IPYNB file or see such a file somewhere? If you need to work with it or are curious about the file type, this SwifDoo PDF article has you covered. Here is an easy-to-understand and full guide that introduces what an IPYNB file is and how to open it. The method to convert IPYNB to PDF is also mentioned.
What Is an IPYNB File?
An IPYNB file is a text-based notebook document created by the open-source interactive web application Jupyter Notebook. IPYNB means or stands for Jupyter Notebook’s former name — IPython Notebook.
Jupyter Notebook is used to create computational documents with codes, equations, and other resources. It helps with data analysis, prototyping, and manipulation using Python and supports 40+ programming languages.
Jupyter Notebook or IPYNB files use the .ipynb file extension. They contain computational inputs and outputs, numerical functions, visualizations, explanatory text, and other content from an entire Jupyter Notebook session. The Jupyter Notebook or IPYNB file type represents the notebook’s content in the JSON format.
The IPYNB file format is only available in Jupyter Notebook or similar notebook applications. Thus, it’s difficult for people who don’t have these programs to open and use IPYNB files, especially when it comes to sharing.
How to Open IPYNB File
There are IPYNB viewers that are accessible online and offline. Jupyter Notebook, as the file type creator, is the first choice for users to open an IPYNB file. It can completely show the information without lags or missing data. Other programs to use include Google Colab and Terminal.
How to open an IPYNB file in Jupyter Notebook on Windows, Mac, Linux, or the Web:
- Open the Jupyter Notebook application after installation;
- Click Upload on the upper right of the initial page;
- Select and import your IPYNB file in Jupyter Notebook;
- Double-click to open and run the .ipynb file in a new tab.
How to open IPYNB files online in Google Colab:
- Log into the Google Colab in your browser;
- Choose File > Upload notebook;
- Click Browse or other upload options to select your IPYNB file for opening.
How to Run IPYNB from the command line in the Terminal:
- Start the Terminal on your computer device;
- Go to the location where your file is saved;
- Type the command “jupyter notebook notebook-name.ipynb” and press Enter;
- Change “notebook-name.ipynb» to the actual file name for opening IPYNB files from the Terminal.
Pros and Cons of IPYNB Files
The IPYNB format and files have their advantages and shortcomings.
Pros:
- Provide users with an interactive environment benefit for exploring and visualizing data.
- Allows users to check and analyze the data, giving them a good developer experience.
- It is easy to read since the IPYNB files are made from plain text and Jason formatting.
- It is possible to convert so users can convert IPYNB files to other formats, such as HTML, PDF, and LateX.
Cons:
- Limited font sizes and styles and other formatted text can be added.
- Slower for large datasets as a web browser-based application.
- It’s not good to be directly opened with a text editor.
- It is compatible with less different devices and software.
How to Convert IPYNB to PDF
A few IPYNB file openers can convert IPYNB to PDF. In addition, a command-line tool and an online converter like nbconvert and Vertopal can also do the conversion.
In Google Colab, go to File > Upload to upload and open the notebook document, choose File > Print, select Save as PDF in the Destination menu, and hit Save to export the IPYNB file to a PDF.
With the online converter, specify the output and original file formats, upload the file, click the CONVERT button, and download the converted PDF.
Charlotte has been in the software industry for 8+ years. She works for AWZWARE now as a passionate writer. She is good at providing simple guides to use various video, office and entertainment software. Charlotte also recommends many other useful tools to make your work and life easier. A food lover too.
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Learn about the ipynb file extension used by Jupyter Notebook for interactive documents containing code, visualizations, and text. Find out how to open ipynb files, and explore tips for working effectively within this powerful tool for data science and analysis.
If you are someone who works with data science, machine learning, or data analysis, you have probably come across the file extension ipynb at some point. This file extension is associated with Jupyter Notebook, a web-based interactive computing environment that allows you to create and share documents that contain live code, equations, visualizations, and narrative text. In this blog post, we will discuss what the ipynb file extension is, how to open it, and some tips for working with Jupyter Notebook.
Facing challenges with .ipynb Jupyter Notebook file extensions? Saturn Cloud makes opening and working with these files a breeze. Join Saturn Cloud for free to simplify your data science projects!
The ipynb File Extension
The ipynb file extension stands for “Interactive Python Notebook”. It is a file format used by Jupyter Notebook to store and share documents that contain live code, equations, visualizations, and narrative text. The ipynb file is a JSON (JavaScript Object Notation) file that contains a complete record of the user’s session, including code input and output, narrative text, and any other information that was displayed during the session.
How to Open an ipynb File?
To open an ipynb file, you need to have Jupyter Notebook installed on your computer. Jupyter Notebook is available for Windows, Mac, and Linux operating systems. To install Jupyter Notebook, please follow the steps from its official website. Once you have installed Jupyter Notebook, you can open an ipynb file by following these steps:
-
Launch Jupyter Notebook by typing
jupyter notebookin the command prompt (Windows) or terminal (Mac/Linux). -
Navigate to the directory where your
ipynbfile is located. -
Click on the
ipynbfile to open it in Jupyter Notebook.
Alternatively, you can also use the “File” menu in Jupyter Notebook to open an ipynb file. Once you have opened an ipynb file, you can interact with it just like any other Jupyter Notebook document.
Tips for Working with Jupyter Notebook
Jupyter Notebook is a powerful tool for data science, machine learning, and data analysis. Here are some tips for working with Jupyter Notebook:
-
Use Markdown for narrative text: Jupyter Notebook supports Markdown, a lightweight markup language that allows you to format text, create headings, and add links and images. You can use Markdown to create a narrative that explains your code and analysis.
-
Use keyboard shortcuts: Jupyter Notebook has a number of keyboard shortcuts that can help you work more efficiently. For example, you can use “Shift + Enter” to run a cell, “Esc” to exit edit mode, “A” or “B” to insert a new cell above or below the current cell, or double “D” to delete a cell.
-
Use widgets for interactivity: Jupyter Notebook supports widgets, which are interactive controls that allow users to manipulate data and parameters. You can use widgets to create interactive visualizations and dashboards.
-
Use extensions for customization: Jupyter Notebook has a number of extensions that can enhance its functionality and customize its appearance. You can use extensions to add features like code folding, table of contents, and spell checking.
Facing challenges with .ipynb Jupyter Notebook file extensions? Saturn Cloud makes opening and working with these files a breeze. Join Saturn Cloud for free to simplify your data science projects!
Conclusion
The ipynb file extension is associated with Jupyter Notebook, a web-based interactive computing environment that allows you to create and share documents that contain live code, equations, visualizations, and narrative text. To open an ipynb file, you need to have Jupyter Notebook installed on your computer. Jupyter Notebook is a powerful tool for data science, machine learning, and data analysis, and it supports Markdown, keyboard shortcuts, widgets, and extensions. By following these tips, you can work more efficiently and create more interactive and customized notebooks.
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