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Real Python: Python Community Interview With Mike Driscoll

Link: https://realpython.com/interview-mike-driscoll/

Welcome to the first in a series of interviews with members of the Python community.
If you don’t already know me, my name is Ricky, and I’m the Community Manager here at Real Python. I’m a relatively
PyCharm: PyCharm and pytest-bdd

Link: http://feedproxy.google.com/~r/Pycharm/~3/Ll2oyVj3mKs/

Last week we published a blog post on the new pytest fixture support in PyCharm 2018.2. This feature was a big part of the 2018.2 work and proved to be a hit. But it wasn’t the only notable pytest wor
Curtis Miller: Learn Foundations of Python Natural Language Processing and Computer Vision with my Video Course: Applications of Statistical Learning with Python

Link:

This final course caps the series off with applications. The first half of the course covers two major areas of AI: natural language processing (NLP) and computer vision (CV). In the NLP section, I in
Bill Ward / AdminTome: Data Pipeline: Send logs from Kafka to Cassandra

Link: http://www.admintome.com/blog/data-pipeline-send-logs-from-kafka-to-cassandra/

In this post, I will outline how I created a big data pipeline for my web server logs using Apache Kafka, Python, and Apache Cassandra.

In past articles I described how to install and configure Apach
Djangostars: How to Build a Unique Technology for Your Fintech Product with Python

Link: https://djangostars.com/blog/how-to-build-a-unique-technology-for-your-fintech-product-with-python/

Fintech is a maze. It’s a thrilling and extremely complex industry for software development. There are state level regulations, integrations with different services and institutions, bank API connecti
Stack Abuse: Association Rule Mining via Apriori Algorithm in Python

Link: https://stackabuse.com/association-rule-mining-via-apriori-algorithm-in-python/

Association rule mining is a technique to identify underlying relations between different items. Take an example of a Super Market where customers can buy variety of items. Usually, there is a pattern
Hynek Schlawack: Hardening Your Web Server’s SSL Ciphers

Link: https://hynek.me/articles/hardening-your-web-servers-ssl-ciphers/

There are many wordy articles on configuring your web server’s TLS ciphers. This is not one of them. Instead I will share a configuration which is both compatible enough for today’s needs and scores a
Not Invented Here: CPython vs PyPy Memory Usage

Link: https://dev.nextthought.com/blog/2018/08/cpython-vs-pypy-memory-usage.html

If you have lots of "small" objects in a Python program (objects which
have few instance attributes), you may find that the object overhead
starts to become considerable. The common wisdom says that
PyCharm: PyCharm 2018.2.2 RC

Link: http://feedproxy.google.com/~r/Pycharm/~3/MRFOXLtLuw0/

PyCharm 2018.2.2 Release Candidate is now available, with some small improvements. Get it now from our Confluence page
New in This Version

Some improvements to our pipenv support: if the pipfile spec
Artem Golubin: How Python saves memory when storing strings

Link: http://rushter.com/blog/python-strings-and-memory/

Since Python 3, the str type uses Unicode representation. Unicode strings can take up to 4 bytes per character depending on the encoding, which sometimes can be expensive from a memory perspective.
T
Peter Bengtsson: Quick dog-piling (aka stampeding herd) URL stresstest

Link: https://www.peterbe.com/plog/quick-dog-piling-url-stresstest

Whenever you want to quickly bombard a URL with some concurrent traffic, you can use this:

import random
import time
import requests
import concurrent.futures


def _get_size(url):
sleep = rand
Kay Hayen: Nuitka this week #3

Link: http://nuitka.net/posts/nuitka-this-week-3.html


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New Series Rationale
This is working out well so far. I think driving more attention at the things
that are going on can only