PSF GSoC students blogs: Weekly Check-in #6

Link: http://blogs.python-gsoc.org/en/blogs/sudharsana-kjls-blog/weekly-check-in-6/

In this week, I started working on the second phase of the project.
What did I do this week?
In my project, there was an example demo app that had the necessary connections to be made and interaction

PSF GSoC students blogs: The week that has been @ 2048

Link: http://blogs.python-gsoc.org/en/blogs/vipulgupta2048s-blog/the-week-that-has-been-2048/

 

Week #7 03/07 to 09/07
What did you do this week?
I tested. A LOT!
Well, this week I have been testing, refactoring and rethinking quite a lot of components for both the validator as well as the tr

Catalin George Festila: Python 3.7.3 : The python-slugify python module.

Link: http://python-catalin.blogspot.com/2019/07/python-373-python-slugify-python-module.html

This python module named python-slugify can handle Unicode.
You can see this python module source code and examples at GITHUB webpage.
The install step with pip python tool is easy:
C:\Python373>cd Sc

Catalin George Festila: Python 3.7.3 : Testing Wagtail.

Link: http://python-catalin.blogspot.com/2019/07/python-373-testing-wagtail.html

The Wagtail is a beautiful project and can be integrated with Django.
In this tutorial, I will show you the steps for the first install of a basic website.
C:\Python373>python -m virtualenv venv_wagta

PSF GSoC students blogs: GSoC Weekly Check in

Link: http://blogs.python-gsoc.org/en/blogs/kaybs-blog/gsoc-weekly-check-in/

Hello everyone!
I totally forgot about the blog this week. Anyway, the first evaluations are done and I passed it successfully.
What did I do this week?
This week my mentors made a heroku instance for

PSF GSoC students blogs: GSoC weekly blog

Link: http://blogs.python-gsoc.org/en/blogs/kaybs-blog/gsoc-weekly-blog/

Hey everyone,
I got the API and basic model working by the first evaluations and now I am adding more functionality to it and improving it day by day. Once the I configured gitlab and Heroku for autom

PyCoder’s Weekly: Issue #376 (July 9, 2019)

Link: https://pycoders.com/issues/376

#376 – JULY 9, 2019 View in Browser » CPython 3.7.4 Is Now Available Lots of bug fixes and small improvements. Full changelog here. PYTHONINSIDER.BLOGSPOT.COM A Sneak Peek at Python 3.8 Play

Full Stack Python: Developer-led Sales for Startups

Link: https://www.fullstackpython.com/blog/developer-led-sales-startups.html

This blog post contains the slides along with a loose transcript
from my talk on the promises and perils of developer-led sales as an
early-stage company method to acquire customers.
I gave this talk

Dataquest: New Course: Learn the Fundamentals of Probability for Data Science

Link: https://www.dataquest.io/blog/learn-statistics-probability-data-science-course/

This new online course will help aspiring data analysts and data scientists learn the fundamentals of probability and expand their statistics knowledge.
The post New Course: Learn the Fundamentals of

Wingware Blog: Extending Wing with Python (Part 4 of 4)

Link: https://wingware.com/blog/scripting-4

In this issue of Wing Tips we continue to look at how to extend Wing's
functionality, by taking a closer look at at the scripting API and writing up a more
complex script.
If you haven't read the prev

PSF GSoC students blogs: Week 6

Link: http://blogs.python-gsoc.org/en/blogs/wzao1515s-blog/week-6/

This week, I implemented several new checkers for the tool. Since I have implemented some checkers before, this is not difficult. The best way to implement checkers is to look up the NVD database firs

Codementor: A Brief Introduction To Markov Chains | Markov Chains In Python

Link: https://www.codementor.io/zulaikhageer/a-brief-introduction-to-markov-chains-markov-chains-in-python-wqnp12h59

This article on Introduction To Markov Chains will help you understand the basic idea behind Markov chains and how they can be modeled using Python.

Codementor: How I learned Python Programming RAPIDLY!

Link: https://www.codementor.io/cchilders/how-i-learned-python-programming-rapidly-wqnklac0b

How I learned Python Programming Rapidly!

Codementor: Python Seaborn Tutorial | Data Visualization Using Seaborn

Link: https://www.codementor.io/wajihaurooj/python-seaborn-tutorial-data-visualization-using-seaborn-wpj9qydr2

Python Seaborn tutorial along difference between seaborn and matplotlib. Also learn about the various functions ans customizations available in seaborn.

Codementor: Stop using indices!

Link: https://www.codementor.io/philbest/stop-using-indices-woab0mh1t

Learn how to avoid indices in your loops and replace them with descriptive variable names.
Use tools like zip and enumerate to write awesome Pythonic loops.

Codementor: Python Comprehensions are Awesome!

Link: https://www.codementor.io/philbest/python-comprehensions-are-awesome-wp8r945xv

Python's comprehensions are short, highly readable ways of creating various collections from other iterables.
Master comprehensions and take your loops to the next level.

Catalin George Festila: Python 3.7.3 : Using attrgetter from operator python module.

Link: http://python-catalin.blogspot.com/2019/07/python-373-using-attrgetter-from.html

Return a callable object that fetches attr from its operand. If more than one attribute is requested, returns a tuple of attributes. The attribute names can also contain dots. see documentation.
The a

IslandT: Find the average negative values from the DataFrame

Link: https://kibiwebgeek.com/2019/07/10/find-the-average-negative-values-from-the-dataframe/

Create a Pandas’ DataFrame object.Find the average values from only the negative data values.
Hello and welcome back, since a few days ago I am not posting anything on this website because during thes

Codementor: Awesome Web Scraping

Link: https://www.codementor.io/innat_2k14/awesome-web-scraping-wquferej7

Awesome extraction from websites!

Catalin George Festila: Python 3.7.3 : About python version 3.7.3.

Link: http://python-catalin.blogspot.com/2019/07/python-373-about-python-version-373.html

All versions of python come with many features and changes with every released version.
A full list of these changes can be found at PEP official webpage and this documentation webpage.
The goal of th