


[Going Free to the End] Installing Node.JS, NPM and OurJS on Amazon's One-Year Free Server Blog_node.js
The operating system chosen here is the community version of Debian. The operating instructions of Debian and Ubuntu are of the same origin. In addition, I have played with Raspberry PI for a period of time before, so I am familiar with it. The following installation process is also applicable to the tree mold pie. (The part about installing node.js and NPM).
1) Register and select
After registering on AWS and binding the signal card, you can use Amazon's one-year free EC2 host, but the configuration is usually relatively low, usually 0.612Mb (linux) and 1G (Win) memory.
The community version of Debian selected here is Debian-squeeze-amd64-pvm-2014-07-21-ebs)
Type t1.micro
Memory (GiB) 0.613
2) Log in to the cloud host
Unlike Guofeng hosts, which usually use passwords to log in, Amazon uses encryption authorization (pem format key certificate generated by openssl) certificate to log in by default,
A copy will be automatically downloaded when creating a host instance. Windows users must first convert it to PPK format (details), which may take a long time.
The second thing to note is that Debian’s default login username is admin, not root or ec2:
After logging in, switch the user to become root
sudo -i
3) Install Node.js and NPM
The latest versions of NodeJS and NPM require manual downloading of source code and local compilation and installation.
The node version installed here is 0.10.30.
Before installation, you need to install some dependencies (compilation tools, manifest), such as curl, GCC (4.2), GNU make (3.81). python (2.6 or 2.7) or build-essential (including g and make), etc.
apt-get update apt-get install curl apt-get install python apt-get install gcc apt-get install make apt-get install build-essential #(g++ and make included in it, detail) apt-get install libssl-dev [optional]
Then run the following installation script, details
echo 'export PATH=$HOME/local/bin:$PATH' >> ~/.bashrc . ~/.bashrc mkdir ~/local mkdir ~/node-latest-install cd ~/node-latest-install curl http://nodejs.org/dist/node-latest.tar.gz | tar xz --strip-components=1 ./configure --prefix=~/local make install # ok, fine, this step probably takes more than 30 seconds... curl https://www.npmjs.org/install.sh | sh
Check the version after completion
$node --version v0.10.30
4) Install OurJS
Choose a suitable directory to run the following script (for example, in the /var/www directory)
npm install ourjs cp -r node_modules/ourjs ./ chmod 755 ./ourjs/ourjs.sh && ./ourjs/ourjs.sh
The approximate process is to download ourjs from npm, then copy it out from the node_modules directory, make ourjs.sh executable and run the service.
5) Test it at http://localhost:8054
If you want to access this service on the public network, you need to add port 8054 to the security group.
Sincerely, NodeJS, NPM and ourjs blogging system are basically ready for use, but node.js is more effective when used with nginx. nginx is responsible for static files (CSS, JS, pictures), G-zip, cache (301 cache) ), which can improve performance and save traffic for your server.

JavaScript is widely used in websites, mobile applications, desktop applications and server-side programming. 1) In website development, JavaScript operates DOM together with HTML and CSS to achieve dynamic effects and supports frameworks such as jQuery and React. 2) Through ReactNative and Ionic, JavaScript is used to develop cross-platform mobile applications. 3) The Electron framework enables JavaScript to build desktop applications. 4) Node.js allows JavaScript to run on the server side and supports high concurrent requests.

Python is more suitable for data science and automation, while JavaScript is more suitable for front-end and full-stack development. 1. Python performs well in data science and machine learning, using libraries such as NumPy and Pandas for data processing and modeling. 2. Python is concise and efficient in automation and scripting. 3. JavaScript is indispensable in front-end development and is used to build dynamic web pages and single-page applications. 4. JavaScript plays a role in back-end development through Node.js and supports full-stack development.

C and C play a vital role in the JavaScript engine, mainly used to implement interpreters and JIT compilers. 1) C is used to parse JavaScript source code and generate an abstract syntax tree. 2) C is responsible for generating and executing bytecode. 3) C implements the JIT compiler, optimizes and compiles hot-spot code at runtime, and significantly improves the execution efficiency of JavaScript.

JavaScript's application in the real world includes front-end and back-end development. 1) Display front-end applications by building a TODO list application, involving DOM operations and event processing. 2) Build RESTfulAPI through Node.js and Express to demonstrate back-end applications.

The main uses of JavaScript in web development include client interaction, form verification and asynchronous communication. 1) Dynamic content update and user interaction through DOM operations; 2) Client verification is carried out before the user submits data to improve the user experience; 3) Refreshless communication with the server is achieved through AJAX technology.

Understanding how JavaScript engine works internally is important to developers because it helps write more efficient code and understand performance bottlenecks and optimization strategies. 1) The engine's workflow includes three stages: parsing, compiling and execution; 2) During the execution process, the engine will perform dynamic optimization, such as inline cache and hidden classes; 3) Best practices include avoiding global variables, optimizing loops, using const and lets, and avoiding excessive use of closures.

Python is more suitable for beginners, with a smooth learning curve and concise syntax; JavaScript is suitable for front-end development, with a steep learning curve and flexible syntax. 1. Python syntax is intuitive and suitable for data science and back-end development. 2. JavaScript is flexible and widely used in front-end and server-side programming.

Python and JavaScript have their own advantages and disadvantages in terms of community, libraries and resources. 1) The Python community is friendly and suitable for beginners, but the front-end development resources are not as rich as JavaScript. 2) Python is powerful in data science and machine learning libraries, while JavaScript is better in front-end development libraries and frameworks. 3) Both have rich learning resources, but Python is suitable for starting with official documents, while JavaScript is better with MDNWebDocs. The choice should be based on project needs and personal interests.


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