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| | stribny.name
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| | www.integralist.co.uk
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| | Introduction Virtual Environments Creating Virtual Environments Installing Python Versions Virtual Environments for multiple Pythons Shell Configuration Managing Dependencies Caching Dependencies Command Line Packages Introduction This blog post aims to demonstrate the most practical way to install multiple versions of Python, and of setting up 'virtual environments' for macOS userso We'll also dig into how to manage our project dependencies (e.g. we'll be discussing the classic Pip and requirements.txt ...
| | jiby.tech
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| | The packaging workflow of Python has historically been a bit messy, starting with pip being just good enough, and virtualenvs being a great idea but a bit unwieldy. Installation was difficult, and tools like anaconda filled the gaps. Lately, there's been renaissance of package tooling in Python thanks to other languages innovating in the area, inspiring and pollinating the ecosystem, improving the comfort of development. I want to present here the tools that I use to work with Python, usually latest iterations on well known concepts, to show that Python can be both fun to play with, and safe enough if we use modern tools.
| | www.systutorials.com
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| Statically Linking C and C++ Programs on Linux with gcc tagged C, C++, CentOS, cmake, Command, Command line, compatibility, compiler, DNS, Fedora, g++, gcc, glibc, GNU, How to, kernel, Library, linking, Linux, Linux Kernel, memory, mmap, musl-libc, POSIX, R, RHEL, systems, Tutorial, www, yum.