Towards a better world, through programming

A zombie process is a sub-process that finished (normally or otherwise), but it's not yet reaped by its parent (i.e.: its parent didn't collect its exit code). It can't be killed (because it's already dead, hence "zombie"), but it won't consume resources (CPU and memory). However, it is still using a scheduler process id; it's theoretically possible to starve a system of pids (therefore, preventing it to create new processes) launching dummy subprocesses and not reaping them.

Git will not ignore the file if you've already committed it. You'll have to untrack the file first, then it will start ignoring it. You can untrack the file with this command: git rm --cached FILENAME More info about using .gitignore file can be read from this blog

Recently I ran into this issue while trying to clone one of my own repository from GitHub C:\GitHub\FS> git clone https://github.com/<username>/FS.git Cloning into 'FS'... fatal: unable to access 'https://github.com/<username>/FS.git/': Could not resolve host: github.com At first I thought that this could be due to some proxy setting. So I tried to unset it by executing below command - C:\GitHub\FS> git config --global --unset https.proxy But that didn’t fix the problem and I was still getting the same error. As it turned out later, the culprit was my VPN connection. Turning off the VPN fixed the issue. For the records, I was using ‘Surfshark’ on my Windows 10 laptop.

Sometimes we need to figure out dependencies of our Python project. I have been using the below two approaches to get it done: Using pipreqs If we want to collect all the dependencies and store them in a project-level 'requirement.txt' file, then pipreqs is an easy and simple solution. This library analyzes the import statements in the project to gather dependencies. First, we need to install pipreqs: pip install pipreqs In order to generate project-level requirement.txt file, run the below command: pipreqs /path/to/your/project/ requirements file would be saved as- ' /path/to/your/project/ requirements.txt ' To read about more advantages of pipreqs over pip freeze , read it from here Using pipdeptree     I have written a more detailed post about visual representation of python packages using 'pipdeptree' library in this blog . 'pipdeptree' provides more advanced options such as listing the dependencies in html format o

Setting up Docker in Windows environment is not an easy task. I have seen many people (including me) struggling to get it run on Windows PC. I have installed 'Docker for Desktop' in my laptop which has Windows 10 Pro 64-bit, Version 1909 (OS Build 18363.720). It was running fine with Windows containers. However, when I needed to switch to Linux container, it crashed with below error: Docker.Core.Backend. BackendDestroyException: Unable to stop Hyper-V VM: Service 'Hyper-V Host Compute Service (vmcompute)' cannot be started due to the following error: Cannot start service vmcompute on computer '.'. at Enable- MobyLinuxRequiredService, <No file>: line 103 at <ScriptBlock>, <No file>: line 804    at Docker.Core.Pipe. NamedPipeClient.<TrySendAsync> d__5.MoveNext() --- End of stack trace from previous location where exception was thrown ---    at System.Runtime. ExceptionServices. ExceptionDispatchInfo.Throw()    at Doc

This link provides a curated list of awesome Python frameworks, libraries, software and resources:   https://awesome-python.com/

When you install python packages using pip, it remembers the dependency tree of installed packages. Together with Graphviz, pipdeptree can generate a nice visualization of python project dependencies. What is even better is – It allows to save the output in a user friendly format such as jpeg, png or pdf. How to use it on Windows 10 PC Download Graphviz from this link                 http://www.graphviz.org/download/ Add below to PATH environment variable (Update the installed graphviz version if needed)         C:\Program Files (x86)\Graphviz2.38\bin      C:\Program Files (x86)\Graphviz2.38\bin\dot.exe Close any open command prompt, restart it and navigate to your python project folder. e.g.,               cd C:\Projects\GitHub\Installer_ Bootstrapper Install ‘pipdeptree’ and ‘graphviz’ python libraries        pip install pipdeptree    pip install graphviz Now you can start testing 'pipdeptree' View dependency tree of all installed packages

Go to python shell and run these commands: from django.core.management.utils import get_random_secret_key get_random_secret_key() It will generate a new secret key, which can be pasted in settings file.