Node alpine install python

How to Install Python Programming in Alpine Linux

An increasing number of Linux users are moving towards Python programming language as the go-to development language for mobile, desktop, and web-based applications. Python is also gaining roots in data science as an effective and powerful tool for complex datasets’ manipulation, analysis, and visualization.

Python Advantages to Alpine Linux User

We can therefore acknowledge the following advantages that make Python an ideal platform for building robust platforms.

Portability

Other programming languages like C/C++ limit the execution of a program/application code to the platform in which it is created. Therefore, running this program code in a different environment requires recompilation of that source code. With Python, you only need to write your program code once.

Free and Open-Source

The open-source license that Python operates under is OSI-approved, which makes Python freely usable and easy to distribute even after the final program distribution. This attribute makes Python a flexible programming language for organizations that wish to modify and create/customize their development version of it.

Interpreted Language

When a programmer tests the viability of a written Python code, the presented code is executed directly and line by line. The execution of the program code only stops when the code interpreter identifies an error. This identified error is the reported. These Python attributes make it easier to debug a program code.

Easy to Read, Learn, and Write

Python being described as a high-level programming language only implies that it has an English-like syntax. Its code is, therefore, easier to read, write, and understand even for beginners.

Vast Libraries Support

Python’s standard library is sufficient enough to cater to all your function needs such that you won’t find it necessary to resolve your code issues via external libraries. If you find yourself in need of such external libraries, Python has a performant package manager called pip for their installation.

Dynamically Typed

Python does not need to identify the variables you are using until the program code starts executing. It is during this event that the data types are automatically assigned. Therefore, there is no need to declare variables and their associated data types like with other programming languages.

Improved productivity

With Python, you spend less time understanding the syntax/behavior of a program code and more time implementing problem-solving algorithms.

The Alpine Linux operating system distribution’s design principle focused on simplicity, manageable size, and security. Alpine uses BusyBox and musl as a replacement for the popularized Glibc and GNU Core utilities. For its init system, it uses OpenRC instead of systemd.

Installing Python in Alpine Linux

This section assumes that you have root user access to the Alpine Linux distribution you are using.

Firstly, run a system update and upgrade commands using the following apk package manager:

# apk update && apk upgrade --available

Next, we can install the latest version of Python i.e 3.x from the following command:

Confirm the installed Python version with the command:

We have understood the advantages of Python and successfully installed its latest version in the Alpine Linux distribution.

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How do I install python on alpine linux?

Enter fullscreen mode Exit fullscreen mode Enter fullscreen mode Exit fullscreen mode This would help avoid having to install/configure two different versions of python side by side.

How do I install python on alpine linux?

How do I install python3 and python3-pip on an alpine based image (without using a python image)?

 $ apk add --update python3.8 python3-pip ERROR: unsatisfiable constraints: python3-pip (missing): required by: world[python3-pip] python3.8 (missing): required by: world[python3.8] 

This is what I use in a Dockerfile for an alpine image:

# Install python/pip ENV PYTHONUNBUFFERED=1 RUN apk add --update --no-cache python3 && ln -sf python3 /usr/bin/python RUN python3 -m ensurepip RUN pip3 install --no-cache --upgrade pip setuptools 

Look here: https://pkgs.alpinelinux.org/packages So what you are looking for are the python3 and py3-pip packages.

A suitable command to use inside a dockerfile/etc would be:

apk add --no-cache python3 py3-pip 

Explanation of the —no-cache flag

Note however, that you need to add the community repository since py3-pip is not present on main .

instead of python3-pip install py3-pip

apk add --update python3 py3-pip 

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What is the difference between node:lts-alpine3.14 and node:lts-alpine? which one should I use for node backend apis?

What is the difference between node:lts-alpine3.14 and node:lts-alpine? which one should I use for node backend APIs?

I want to use one of the images for my Node backend APIs with the following: Express Mongo

There is no difference. They’re two tags for the same image.

What you want to consider is what you want to happen when 3.15 gets released. If you want to stay on 3.14, you should use node:lts-alpine3.14 . If you want to move to 3.15 (or whatever the next release is), you should use node:lts-alpine .

To verify that they’re the same image, you can go to https://hub.docker.com/_/node?tab=tags&page=1&name=lts-alpine and check that the digest values for the two tags are the same.

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Getting started with Alpine.js and TypeScript

Have you heard about Alpine.js? It feels like Vue, but lightweight. Yes, even more lightweight.

It is not pre-compiled, it uses HTML with custom (technically invalid) attributes and brings the webpage to live on load. Sounds basic? It might be, but it is also super simple.

 x-data="< open: false >">  @click="open = true">Expand  x-show="open"> Content.  

I like to use it for small projects where I would have used JQuery if I was in 2010. It offers several simple ways of managing state, directly in html (see example above) or in a central store. It offers several directives, such as x-for , but also has an API to add your own directives. Checkout the docs for more information.

A whole new project

I cannot (or better: I do not want to) work on projects without TypeScript anymore. Let’s see how we can setup a new project powered by Alpine.ts . We use Vite to quickly setup a new project with Hot Module Replacement and bundling capabilities:

npm init vite@latest ? Project name: › alpine-ts ? Select a framework: › vanilla ? Select a variant: › vanilla-ts cd alpine-ts npm install -S alpinejs npm install -D @types/alpinejs npm run dev 

Let’s use Alpine in our src/main.ts :

import './style.css' import Alpine from 'alpinejs' // suggested in the Alpine docs: // make Alpine on window available for better DX window.Alpine = Alpine Alpine.start() 

Here we already encounter the first problem: Alpine is not defined on window . Let’s fix that with a declaration file src/global.d.ts :

import  Alpine as AlpineType > from 'alpinejs' declare global  var Alpine: AlpineType > 

Now we can code our app in TypeScript while using Alpine.js.

Let’s use add some data and use it in the HTML:

// main.ts import './style.css' import Alpine from 'alpinejs' window.Alpine = Alpine Alpine.store('shop',  name: 'Alpine-Shop', products: ['Swiss Alp Chocolate', 'Car Alpine A110'], >) Alpine.start() 

Note: There is no Intellisense (yet) for the HTML like we are used to in other frameworks, but getting started with TypeScript is a first step in the right direction.

Bonus round: Tailwindcss

npm install -D tailwindcss @types/tailwindcss autoprefixer postcss npx tailwindcss init 

Additionally, add to the main CSS file:

@import 'tailwindcss/base'; @import 'tailwindcss/components'; @import 'tailwindcss/utilities'; 

And create a postcss.config.js in your project root:

module.exports =  plugins: [require('tailwindcss'), require('autoprefixer')], > 

Now you can add your tailwind styles to your website. Thanks to tailwind’s JIT mode, it will only bundle whichever classes you are actually using.

Wrapping up

That was pretty quick! If you have not started your next Micro-Project yet, I highly recommend giving Alpine.js a try.

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How to install python2.6 in alpine container?

How to install python2.6 in alpine docker container.

I tried to install from source, its giving me compilation errors.

Actually I want to install Python2.6 and Python2.7 in container. So that I can run unittests on both Python2.6 and Python2.7. Please give some thoughts on this.

I have installed gcc , g++ , make in alpine container then did the following steps.

wget https://www.python.org/ftp/python/2.6/Python-2.6.tgz tar xvzf Python-2.6.tgz cd Python-2.6 ./configure make 

Got this error while make,

~/Python-2.6 # make gcc -c -fno-strict-aliasing -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -I. -IInclude -I./Include -DPy_BUILD_CORE -o Modules/config.o Modules/config.c gcc -c -fno-strict-aliasing -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -I. -IInclude -I./Include -DPy_BUILD_CORE -DPYTHONPATH='":plat-linux4:lib-tk:lib-old"' \ -DPREFIX='"/usr/local"' \ -DEXEC_PREFIX='"/usr/local"' \ -DVERSION='"2.6"' \ -DVPATH='""' \ -o Modules/getpath.o ./Modules/getpath.c gcc -fno-strict-aliasing -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -I. -IInclude -I./Include -DPy_BUILD_CORE -c ./Modules/posixmodule.c -o Modules/posixmodule.o ./Modules/posixmodule.c:6173:1: error: conflicting types for 'posix_close' posix_close(PyObject *self, PyObject *args) ^ In file included from Include/Python.h:44:0, from ./Modules/posixmodule.c:30: /usr/include/unistd.h:38:5: note: previous declaration of 'posix_close' was here int posix_close(int, int); ^ Makefile:1234: recipe for target 'Modules/posixmodule.o' failed make: *** [Modules/posixmodule.o] Error 1 

Can any one suggest how can I solve this ?

Docker has a official repos, which are pretty convenient to use. Conveniently, there is a python official repo. It has images for different version of Python (including 2.7) and different base OSes (including alpine). I would recommend using the official 2.7-alphine image and using its Dockerfile as a reference for installing python 2.6.

I would also recommend having separate images, one with python 2.6 and one with 2.7 rather than having both in the same image. This would help avoid having to install/configure two different versions of python side by side.

It’s hard to tell why your build didn’t work without seeing the rest of your Dockerfile, but one place to start is build dependencies. The official Dockerfile adds build dependencies on lines 37-53, that list has more dependencies than the ones you said you installed.

I managed to get this working by tweaking the patch from this issue: https://bugs.python.org/issue20594 to Python 2:

--- ./Modules/posixmodule.c.orig +++ ./Modules/posixmodule.c @@ -3896,7 +3896,7 @@ #endif gid_t grouplist[MAX_GROUPS]; - /* On MacOSX getgroups(2) can return more than MAX_GROUPS results + /* On MacOSX getgroups(2) can return more than MAX_GROUPS results * This is a helper variable to store the intermediate result when * that happens. * @@ -6357,7 +6357,7 @@ Close a file descriptor (for low level IO)."); static PyObject * -posix_close(PyObject *self, PyObject *args) +posix_closex(PyObject *self, PyObject *args) < int fd, res; if (!PyArg_ParseTuple(args, "i:close", &fd)) @@ -8602,7 +8602,7 @@ , #endif /* HAVE_TCSETPGRP */ , - , + , , , , 

I posted my full Dockerfile and patch here:

For python2.7, you could use frolvlad/alpine-python2, which is a 50MB python2.7 image based on alpine.

And for python2.6, you could get the Dockerfile and update it, so that it works for that version as well

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