I'm trying to install numpy in a docker container based on Alpine 3.1. Created on 22:34 by fruch, last changed 01:53 by issue is now closed. and what I met with was something I do not wished to see. and build the image via:-$ docker build -t python-matpan-alpine -f Dockerfile.alpine. Now let me try the same using alpine:-FROM python:3.8-alpine RUN pip install -no-cache-dir matplotlib pandas.
$ docker build -f Dockerfile.slim -t python-matpan. real 16m13.104s user 16m9.311s sys 0m7.847s$ docker build -f Dockerfile.slim -t python-matpan.
Let's look at a real-world example: $ docker run -rm -it python:alpine apk add alpine-sdk libffi-dev time pip install pandas cryptography. Read using Alpine can make Python Docker builds 50× slower for an in-depth explanation. In the second stage, we start fresh from the same base image (a Python 3.7 Debian image). pip-tools is a way to pin dependencies, so you can be sure what gets mounted in your container (use with pip-compile and pip-sync).
We upgrade pip (the package manager for Python) and install pip-tools. Package: libxml2-dev: Version: 2.9.4-r3 Description version: 2 jobs: build: docker:-image: circleci/python:3.6.2-stretch-browsers steps:-checkout-run: pip install -r requirements/dev.txt Services Add a database - such as for running tests against a staging database. version: 2 jobs: build: docker:-image: circleci/python:3.6.2-stretch-browsers steps:-checkout-run: pip install -r requirements/dev.txt Services Add a database - such as for running tests against a staging database. Most Linux distributions use the GNU version of the standard C library (glibc), which is required by almost all C-based scripting languages, including python.Created on 22:34 by fruch, last changed 01:53 by issue is now closed. While Alpine can only download the source code (matplotlib-3.1.2 tar.gz )This is the fatal problem of Alpine: the standard Linux installation package cannot be used on alpine Linux at all. Fast to code: Increase the speed to develop features by about 200% to 300%. One of the fastest Python frameworks available. Fast: Very high performance, on par with NodeJS and Go (thanks to Starlette and Pydantic). FROM python:3.8-alpine RUN apk -update add gcc build-base freetype-dev libpng-dev openblas-dev RUN pip install-no-cache-dir matplotlib pandas And then we build it, and it takes… … 25 minutes, 57 seconds! FastAPI is a modern, fast (high-performance), web framework for building APIs with Python 3.6+ based on standard Python type hints.$ docker run -it -rm python:3.6.4-alpine sh $ pip install psycopg2-binary Collecting psycopg2-binary Downloading psycopg2-binary-2.7.4.tar.gz (426kB).
* See Chilkat2 Python vs CkPython for information about the differences between the two flavors of Chilkat Python API's.