Visualizing Routes on Interactive Maps with Python | Carlos J. Uribe
Understanding Django Signals, Secrets of Security in a Django application, Python 3.13.0 alpha 3 is now available and with some more interesting articles
We all know Dask is an open-source Python library for parallel computing. The cool thing is each month folks from the Dask community give short demos that show off ongoing and/or lesser-known work. This video is this month’s demo day. In this, you will see great talks about Apache Beam DaskRunner, Array expressions and the One billion row challenge in Dask vs. Spark. If you love Dask you should subscribe to this YouTube channel.
Visualizing Routes on Interactive Maps with Python: Part 1
Long article but amazing. If you want to play with maps then this article is a good place to start. Carlos J. Uribe took some of the famous sites of Paris and explained how to optimize trip planning using folium, geopy and pandas libraries.
# Carlos J. Uribe
Understanding Django Signals
If you want to listen to a model change or some action in your Django project then Django signals is a good place to explore. They are essentially a form of the Observer design pattern, enabling loose coupling between components in a Django application. In this article, Anand Rathore covered them in depth.
# Anand Rathore
Secrets of Security in a Django application
As a developer it is good to have ideas about application security, it will protect applications from hacker attacks. Gaurav Jain covered them in depth with great examples. Of course, this article is about Django applications but it will give a good understanding of typical security vulnerabilities.
# Gaurav Jain
Python 3.13.0 alpha 3 is now available
Python 3.13 is still in development. This release, 3.13.0a3, is the third of six planned alpha releases
1.5 Years of Spark Knowledge in 8 Tips
I am sure you know about Spark or you might have heard about Spark, Spark allows us to horizontally scale and thereby support complex data pipelines that would be impossible on a single machine. In this article, Michael Berk gave amazing tips and explained Spark by this analogy “Spark is a grocery store”.
# Michael Berk
8 backend repos used by the top 1% of Python devs
In this article, Baptiste Fernandez covered 8 interesting python libraries (yarl, django-cacheops and 6 more) which are amazing but not known to most people.
# Baptiste Fernandez
130 Data Science Terms Every Data Scientist Should Know
It’s related to Data Science not particularly about Python but we all know Python is the favourite language of the Data Science world that’s why covering this. Like medical jargon and legal jargon data science has its own jargon. If we know them it's easy to understand Data Science articles and what your fellow Data Scientist is talking about. Anjolaoluwa Ajayi covered 130 Data Science Terms here.