Skip to content

This package offers a concise introduction to Node.js using Jupyter Lab, focusing only on the essential concepts and skills. It covers the fundamental topics necessary for understanding and practicing (or reviewing) Node.js.

License

Notifications You must be signed in to change notification settings

me-moghadasian/nodejs-learners-package

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

60 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Node.js Learners Package

Description

This package offers a concise introduction to Node.js (using JupyterLab), focusing only on the essential concepts and skills. It covers the fundamental topics necessary for understanding and practicing (or reviewing) Node.js, including:

Who should use this?

This project is designed for intermediate-level developers who are looking to deepen their understanding of core concepts in Node.js and JS. It is particularly beneficial for those who want to expand their knowledge, review general principles, or gain a broader perspective on Node.js and JS. If you are an expert in this field, you might find the material NOT directly applicable to advanced scenarios. However, if you are eager to refresh your foundational skills or explore different approaches, this resource may still offer valuable insights.

Active Development

Please note that this package is still being modified and updated. We are continuously working to improve and expand the content based on feedback and new developments in Node.js. New features, topics, and enhancements will be added over time. To ensure you have the latest dependencies and updates, you might need to run npm install periodically.

Features

  • Variables and Functions: Learn how to create and use variables, functions and lambdas.
  • Loops and Branching: Understand different looping constructs and conditional statements.
  • JSON: Work with JSON data, including parsing and stringifying JSON.
  • Collections: Explore arrays, maps, and sets, and how to manipulate them.
  • File Handling: Read from and write to files.
  • Async-await, Promise and Events: Learn how to do asynchronous operations with async-await, promise and events.
  • Fetch and Axios: Learn how to use fetch and axios to send request.
  • HTTP Connections: Create basic HTTP servers and handle requests and responses.
  • MongoDB and Mongoose: Connect to a MongoDB database and perform CRUD operations using Mongoose.
  • Express: Build simple RESTfull API with authentioncation-authorization, files upload-download,... using the Express framework.
  • And More...

Installation

To get started with this package, follow these steps:

  1. Install Python (if not already installed):

    • Refer to Python to download and install python.
  2. Install JupyterLab (if not already installed):

    • If you don't have JupyterLab installed, you'll need Python and JupyterLab. You can install JupyterLab using:
    pip install jupyterlab
  3. Install Node.js:

    • Ensure you have Node.js installed. This is required for running Node.js apps in this package.
  4. Install the Node.js Jupyter Kernel:

    • You need the IJavascript kernel for Jupyter to run JavaScript code. You can install it using the following commands:
      npm install -g ijavascript
      ijsinstall
  5. Clone the Repository:

    git clone https://github.com/me-moghadasian/nodejs-learners-package.git
  6. Navigate into the Project Directory:

    cd nodejs-learners-package
  7. Install Project Dependencies:

    • Install MongoDB too when you want to try MongoDB related sections.
    npm install
  8. Start JupyterLab:

    jupyter lab
  9. Open and Explore the Notebooks and Scripts:

    • Use JupyterLab to open and explore the notebooks and scripts provided in the package.

Note

This package is still under development. New features and improvements will be added over time. you might need to run npm install periodically.

Useful References

License

This project is licensed under the MIT License - see the LICENSE file for details.

Author

Mehdi Moghadasian

About

This package offers a concise introduction to Node.js using Jupyter Lab, focusing only on the essential concepts and skills. It covers the fundamental topics necessary for understanding and practicing (or reviewing) Node.js.

Topics

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published