Tagged with #python

7 results found.

• Workaround for when poetry cannot find pyenv managed python

  Sander June 16, 2023 at 11:23 am

  I use pyenv to manage python versions for my projects, and use poetry to manage project dependencies. Poetry was unable to find the latest python version, and insisted on creating virtual envs with system python.

  Setting poetry config virtualenvs.prefer-active-python true did not work for me, and neither did poetry env use whatever-version:

  $ poetry env use 3.11
  Could not find the python executable python3.11

  However pyenv can list the the full path to the currently active python, which can be used as a parameter to poetry, so the following worked:

  $ poetry env use $(pyenv which python)
  $ poetry install; poetry run python --version
  

  Update: double check that pyenv is configuring the shell correctly -- $HOME/.pyenv/shims should be in your PATH variable, and your shell runtime configuration file (such as .bashrc / .zshrc) should contain eval "$(pyenv init -)"

  Hope this helps!

  ‎ #poetry #python #pyenv #ubuntu #elementaryos #linux

• Hassle-free Python project setup

  Sander August 24, 2019 at 11:31 am

  Today I managed to break pipenv again to a point where I cannot install any project requirements. Let's document the process to prevent this happening again in the future.

  Python3.7 and pip are already installed on OpenSUSE Tumbleweed. If you're not so lucky, read the page on https://docs.python-guide.org/starting/install3/linux/ but stop at the bottom of the page, as I find the installation method used for pipenv there too brittle.

  Instead we're going to install pipx which is best described as a per-command environment for python executables. This is great for packages like pipenv which can then run without conflicts. pipx also keeps the packages updated.

  python3 -m pip install --user pipx python3 -m pipx ensurepath

  We can then use pipx to install pipenv:

  pipx install pipenv

  I prefer to keep the virtual environment within the project folder, by adding the following line to .bashrc or .zshrc:

  export PIPENV_VENV_IN_PROJECT=1

  With pipenv in place we can create a per-project virtual environment and activate it:

  `cd ~/dev/myproject<br></br>pipenv shell`````

  We can install our packages into the environment now:

  pipenv install pylint --dev<br></br>pipenv install black --dev --pre

  The missing step in a lot of guides, is that you later might want to call your script from outwith your virtual environment, without explicitly activating it as you would do when working on the project itself. You can do that thusly:

  $(pipenv --venv)/bin/python myscript.py<br></br>

  #python

• WorkLog 2.2

  Sander August 1, 2019 at 4:57 pm

  WorkLog.py is a very simple script that allows you to keep track of what you are working on by writing a timestamped message to a CSV file. It turns out it helps me stay on track during a long day of work.

  Version 2.2 has some new quality of life improvements:

  v2.2:

  * ctrl-d or enter to quit. * works on python2 default systems. * f-strings, * code more elegant. * day based csv files.

  

  https://gist.github.com/svandragt/080843c4ba632deaab6f3aea57ca9684

  #python #worklog

• Install Python 3.7.1 on OpenSUSE Tumbleweed

  Sander December 11, 2018 at 1:11 pm

  After another hour of resolving issues with pyenv and a personal project that requires Python 3.7 I thought it best to note the steps I used to install Python 3.7.1 on OpenSUSE Tumbleweed:

  # Install requirements for compiling Python
  sudo zypper in zlib-devel bzip2 libbz2-devel libffi-devel libopenssl-devel readline-devel sqlite3 sqlite3-devel xz xz-devel 
  
  # Compile Python
  cd ~/Downloads
  wget <a href="https://www.python.org/ftp/python/3.7.1/Python-3.7.1.tar.xz" target="_blank">https://www.python.org/ftp/python/3.7.1/Python-3.7.1.tar.xz</a>
  tar xf Python-3.7.1.tar.xz
  cd Python-3.7.1
  ./configure
  make
  
  # AltInstall ensures 3.7.1 is installed alongside your system python
  sudo make altinstall
  
  # Fix dynamic library loading
  sudo ln -s /usr/local/lib64/python3.7/lib-dynload /usr/local/lib/python3.7/lib-dynload

  I've updated the Common build problems · pyenv/pyenv Wiki page to reflect the updated required packages. Thanks to Andrew Cooke for the dynamic library fix

  #python #linux

• How to install pip and pipenv properly on Ubuntu 17.10

  Sander October 20, 2017 at 5:48 pm

  Ubuntu 17.10 comes with python3 3.6.3 installed by default but not pip and pipenv. We can install install pip systemwide and pipenv into the user local bin so we can use all the convenience when working with our python projects:

  wget <a href="https://bootstrap.pypa.io/get-pip.py%C2%A0-O" target="_blank">https://bootstrap.pypa.io/get-pip.py -O</a> /tmp/get-pip.py
  sudo python3 /tmp/get-pip.py
  pip3 install --user pipenv
  echo "PATH=$HOME/.local/bin:$PATH" >> ~/.profile
  source ~/.profile

  Sources: Installing Python 3 on Linux; pip installation; Installing pipenv; How to permanently set PATH on Linux

  Update 9 Nov 2017: replaced curl with wget, thanks Peter

  #python #technology

  #virtualenvironments #14638025

• Painless Lektor Setup in Less Than 5 Minutes

  Sander August 23, 2016 at 10:56 am

  Two technologies that I have can really recommend you try out - Lektor and Cloud9 - can be used together to start a static site or blog in a matter of minutes. If you want to try out the power of Lektor without leaving a trace on your machine then follow this quick setup.

  Lektor is a flexible and powerful static content management system for building complex and beautiful websites out of flat files — for people who do not want to make a compromise between a CMS and a static blog engine.

  Cloud9 combines a powerful online code editor with a full Ubuntu workspace in the cloud.

  Because every Cloud9 workspace is also a Docker container, you have full access to a ubuntu system with terminal access. We can use this to install a development Lektor install and work on our static website as follows:

  1. Create a new Cloud9 workspace with the Python template, as Lektor is written in Python.
  2. Delete the ex50 folder
  3. In the bash tab of the new workspace, install lektor by running: curl -sf <a href="https://www.getlektor.com/install.sh" target="_blank">https://www.getlektor.com/install.sh</a> | sh
  4. Once this completes, start a new project: lektor quickstart
  5. Create a new runner (Run > Run With > New Runner) with the following contents (replace myproject): ``` { "cmd" : ["lektor", "server", "-p", "8080", "-h", "0.0.0.0"], "info" : "Started $project_path", "working_dir": "/home/ubuntu/workspace/myproject" }

  6. Press the Run button to start the server, and Preview > Preview Running Application to browse the Lektor site.

  That's all there is to it, you can continue with the Lektor Quickstart instructions.

  #python

• WorkLog.py - work logging

  Sander April 26, 2016 at 4:20 pm

  I wrote this little script and thought it might be useful for others. WorkLog.py allows you to keep track of what you are working on by writing a timestamped message to a CSV file. It turns out it helps me stay in tack during a long day of work.

  

  I've put the latest code on GitHub ``

  A great little bit of python code. It requires Python 3. Then just run the file.

  #python #worklog