Showcase Your Skills Through Automating Your Readme Profile
Lately, I have been seeing an increasing number of developers on Github with a profile level
README.md, and I wanted to create the same thing. I saw this as another opportunity to communicate what I am about. I also feel like it’s a great place to funnel a technical audience towards things that are important to me, which right now are these articles that I have been working on over these past few weeks. Also, if you as a reader are currently looking increase your authority amongst your peers, clients or potential employer this could be yet another opportunity to impress. As a hiring manager in tech, I would also be measurably impressed by anyone who took the extra effort to showcase their skills through their Github profile.
One of the things that I wanted to showcase were articles like this one that I am working on. I am creating a number of articles every week which would require me to remember to go and update these every time I publish. As a developer this was going to be unacceptable as I expect would be the reaction for a number of you reading 😉.
Using this as inspiration I figured that I would build this myself, as I had not been able to find someone doing this with Python in a way that I liked. With this challenge accepted I now needed to search for the required components to keep my Github Profile Readme up-to-date.
For those of you not willing to wait to see the results. You can take a look at the results for yourself in the image below.
Image by Author
The part of my README page that I want to automate, as you can see above, is going to be the feed of recent articles on Medium. In order to easily do this, I will need a python library for parsing an RSS feed. In addition to that, I would like to append a footer with the current timestamp in my timezone to indicate when the last update has been pushed since this isn’t illustrated anywhere within the Github profile landing page. All of this will happen in my language of choice at the moment, Python 3.8, so if you are following along make sure to use Python 3 as there’s some file I/O that is Python 3 specific.
Here are the libraries that I decided to use based upon what has been mentioned earlier that were needed to achieve this.
feedparser —A library with a parser for Atom and RSS feeds. I could have built out my own parser and used urlib or requests, but I am okay adding this dependency.
pytz — Allows us to provide a human readable name for the timezone we want to so that we have a timezone aware timestamp. This is probably achievable via the tzinfo from the standard library, but this library is a crutch that I am willing to use for this purpose.
Though you should be able to pretty much clone my repo, and work from that or just copy and paste from this article. It will be useful to know what the following concepts are. If anything else within this article deserves to be here let me know in the comments, and I can add it for any future readers interested in automating parts of their Github Readme profile.
Github Actions — Github’s CI/CD solution allowing for us to create, and a workflow to update our Github readme profile.
Really Simple Syndication (RSS) — A standardized feed format that allows users or applications, in this case, to automatically check for new content.
My first step for building this out will be the same for you if you haven’t already done this. I needed to create a self-named Github repository take advantage of the Github Profile feature. So with the following repo, I was ready to start building out my
#python #programming #github #developer
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So you noticed that some GitHub accounts have statistics on their profile and wondered how they did it. In this article, you will learn how easy it is to create one for your own profile.
In late 2020, GitHub released a new feature which allows users to create a README file for their profiles. This file is quite useful especially in marketing yourself. You can put an introduction about yourself, your work, skills, experiences, and more.
Some people also put their GitHub statistics, which I will show you how to do in this article.
The statistics that will be shown will be an overview of your GitHub account. It shall display information such as total stars, forks, repository views, languages you used, and more.
A sample README.md for a GitHub user’s profile
Let’s begin by learning how to create a README file that shows up in your profile.
#readme #github-profile #github #statistics #profile-readme
Best Gadgets + Guide.
As everyone knows that Github has added a special repository. Its
README.md will appear on your_ public profile_!
We can modify and make this as expressive as we want. It can contain all the information related to your skills, contributions projects plus much more. This article will guide you on how to create your
Step 1:_ Create a new repository with the same name as your _
Choose public option and Select Initialize this repository with a
For example: born69confused/[born69confused]
I had already created a repository hence showing the already existing warning.
Creating the new repository
Python is awesome, it’s one of the easiest languages with simple and intuitive syntax but wait, have you ever thought that there might ways to write your python code simpler?
In this tutorial, you’re going to learn a variety of Python tricks that you can use to write your Python code in a more readable and efficient way like a pro.
Swapping value in Python
Instead of creating a temporary variable to hold the value of the one while swapping, you can do this instead
>>> FirstName = "kalebu" >>> LastName = "Jordan" >>> FirstName, LastName = LastName, FirstName >>> print(FirstName, LastName) ('Jordan', 'kalebu')
#python #python-programming #python3 #python-tutorials #learn-python #python-tips #python-skills #python-development
Today you’re going to learn how to use Python programming in a way that can ultimately save a lot of space on your drive by removing all the duplicates.
In many situations you may find yourself having duplicates files on your disk and but when it comes to tracking and checking them manually it can tedious.
Heres a solution
Instead of tracking throughout your disk to see if there is a duplicate, you can automate the process using coding, by writing a program to recursively track through the disk and remove all the found duplicates and that’s what this article is about.
But How do we do it?
If we were to read the whole file and then compare it to the rest of the files recursively through the given directory it will take a very long time, then how do we do it?
The answer is hashing, with hashing can generate a given string of letters and numbers which act as the identity of a given file and if we find any other file with the same identity we gonna delete it.
There’s a variety of hashing algorithms out there such as
#python-programming #python-tutorials #learn-python #python-project #python3 #python #python-skills #python-tips