Most Python developers are familiar with Jupyter Notebook.

A development tool widely used in data science, it is popular through its unique interactive development, suitable for teaching and other scenarios.

If you check out GitHub regularly, you’ll see that Jupyter Nobook is being used for a number of projects.

However, There are a number of inherent drawbacks to Jupyter Notebook that make it increasingly inefficient compared to mainstream development tools.

As a result, different notebooks have emerged one after another, such as JupyterLab and Polynote.

However, these Notebooks are more optimized for such experiences as auto-completion, and don’t advance much in terms of the product’s core design ideas.

Today, I will introduce you to another new Notebook, Deepnote.

DeepNote

Deepnote is designed for browsers, so you can use it on any platform (Windows, Mac, Linux or Chromebook). No need to download, updated daily. All changes are saved immediately. In the background, Deepnote runs on powerful machines in the cloud.

You don’t need to worry about the setup, just focus on the work itself.

One of Deepnote’s projects consists of code, data, all running in one environment. You can share it with other collaborators, and they can use it at the same time as you, just like Google Docs. A project can contain multiple notebooks, but they share resources. To create a project, you can upload your own file, import a project from Github or Gitlab, or just create an empty project. We also have some sample projects ready! One of Deepnote’s projects consists of code, data, all running in one environment.

Deepnote is very similar in basic functionality to most Notebooks today, with interactive development and rich text support….

It has two distinct advantages over its predecessors:

  • Zero configuration
  • The collaborative office

First, let’s talk about zero configuration.

As we all know, Jupyter Notebook is a Python toolkit that is installed offline on a host and then launched from the command line. When you shut down the terminal, Notebook’s service terminates.

Therefore, if you want to use it anytime and anywhere, you need to perform a series of configurations on the server to deploy the service.

Deepnote is a zero-configuration Notebook tool. In other words, Deepnote is an online service that allows you to go to a web site, log in, and get a server that allocates computing resources and memory, right out of the box, no configuration required.

Secondly, introduce collaborative office.

Deepnote makes it easy to work on data science projects, working in real time with friends and colleagues to help you turn ideas and analysis into products faster.

As telecommuting becomes a bigger part of the workforce, more companies are rethinking the way they work, and co-working is a big part of that.

Efficient collaborative office can not only greatly improve development efficiency, but also save a lot of money and time costs.

Deepnote is ahead of many Notebook in this regard.

In addition to the two main highlights above, Deepnote has a few other details that fascinate me, such as the integration of GitHub and support for terminal command lines.

By connecting to GitHub, you can import projects directly into Deepnote via project links, reducing the tedious process of development, submission, and release in one go.

In addition, Deepnote supports the terminal command line, so we can easily complete system-level configuration and modification.

In summary, Deepnote has the following advantages:

  • Integration: Good integration of data sources and development tools simplifies the process of connecting data sources to projects.
  • Variable management: The ability to keep variable information during execution in the sidebar for easier debugging and development.

  • Real-time collaboration: Deepnote enables real-time collaboration and sharing your projects with colleagues.
  • Smart tools: Function documentation, parameter names, auto-completion, all the features that an offline programming IDE has, it supports.
  • Terminal: If you need to run some advanced scripts, installations, or other tasks, you can use the Deepnote buttons in the left sidebar to directly use the integrated terminal.

  • Command panel: You can open the command panel with shortcut keys, which lists many useful actions, such as executing code and deleting cells.
  • History: All of the collaborators’ actions can be seen here, making it easier for collaborative development security and permission management.

Dry recommended

In order to facilitate everyone, I spent half a month’s time to get over the years to collect all kinds of iso technical finishing together, content including but not limited to, Python, machine learning, deep learning, computer vision, recommendation system, Linux, engineering, Java, content of up to 5 t +, I put all the resources download link to a document, The directory is as follows:

All dry goods to everyone, hope to be able to support it!

https://http://pan.baidu.com/s/1eks7CUyjbWQ3A7O9cmYljA (code: 0000)