The project repository also includes several demo static webpages and web applications using NodeJS, ExpressJS and MongoDB.
We've used these notebooks in Web2 (Web Page Design 2) and Advanced Programming: JavaScript courses at Colorado Mesa University. Instructors can pick and choose chapters and spend adequate time based on students skill level. In Web2 prior programming experience is not a prerequisite, so instructors may spend more time covering various foundational programming concepts (early chapters). In advanced programming courses where students are expected to be familiar with the basic programming concepts in some languages such as (C++, Python or Java), one can swiftly move through the early chapters focussing on syntax and language esoteric of JavaScript and perhaps relating to other languages students are familiar with (such as Python or C++). If the focus of the course is just to teach JavaScript at a beginning programming level, one may skip chapters that may not be typically introduced at that level e.g., Chapter 13 and above.
Depending on their skill and interest level, learners can move as swiftly as appropairate through the chapters. Try solving some exercises towards the end of each chpater before moving on for self assessment of the mastery of the materails.
Inorder to learn coding, it's very important to actually type code from scratch and NOT copy paste! You can run provided code to see the output, follow along and learn from it. However, it's very important that you either start a new jupyter notebook or add cells and write your own code from scratch to practice the concepts covered with many similar examples and solve the exercises provided.
To run these notebooks interactvely and save your work locally, you need the following applications:
-
NodeJS https://nodejs.org/en/
- server-side JavaScript interpreter
-
Jupyter Notebook http://jupyter.org/
- an interactive web-based editor that allows you to create and share documents that contain live code and data, and
-
ijavascript https://github.com/n-riesco/ijavascript
- a kernel for jupyter notebook
We recommend Anaconda or Miniconda package managers to create virtual environment and install nodejs and other packages on all modern platforms.
- if you're using Linux or Mac follow the corresponding instructions at https://github.com/rambasnet/DevEnvSetup
- if you're using Windows, install the same tools by Googling the instructions for Windows
- install ijavascript kernel [https://www.npmjs.com/package/ijavascript](https://www.npmjs.com/package/ijavascript]([https://www.npmjs.com/package/ijavascript](https://www.npmjs.com/package/ijavascript)
- follow the instructions provided in https://github.com/yunabe/tslab
- Python notebooks can be run farily straightforward in VS Code but haven't yet figured it out how to run NodeJS notebooks in VS Code.
Once the above tools are installed, open a terminal activate nodejs or virtual env; change working directory using cd command to go into the folder where this repo is cloned and run the notebook from there:
conda activate nodejs # if a virtural environment is created using nodejs
cd <directory where this repo is cloned>
jupyter notebook # classical notebook OR use retro
jupyter retro # Jupyter notebook with retro look and feelThis will start a Jupyter session in your browser. Open a chapter, and start coding...
Contributions are accepted via pull requests. You can also open issues on bugs, typos or any corrections and suggest improvements on the notebooks.
© Ram B. Basnet. Permission is granted to copy, distribute and/or modify this document under the terms of the MIT License. See LICENSE file for details.
Please feel free to use the notebooks anyway you find it useful.