Python News Digest 12 - 18.10

How to Read SAS Files in Python With Pandas, Python 3.8 and it's features, binning data with pandas qcut and cut and much more interestg stuff
18 October 2019   463

Greetings! I hope your week went great! Here's new Frontend news digest.

Biggest news in Python world this week is a realse of the Python 3.8. Also, beginners will be able to get familiar with meta-programming and Emacs editor, new Django version and other things are enlighten too.


        • Meta-Programming in Python

        Small, but full-fledged guide about decorators and meta-classes

        • Emacs: The Best Python Editor?

        Guide for a started on the popular Python editor

        • How to Read SAS Files in Python With Pandas

        With this guide, you will learn how to read SAS (.sas7bdat) files in Python, and how to write a SAS file to CSV using Pandas and pyreadstat.


        • Cool New Features in Python 3.8

        Learn about some of the biggest changes in the new language update.

        • Thousands of Scientific Papers May Be Invalid Due to Misunderstanding Python

        It was assumed that glob.glob() returns a sorted list of files, but it doesn’t; this led to huge amount of issues in several published scientific paper

        • Binning Data With Pandas qcut And cut

        This post explains the differences between the two commands and when and how to use each.

        • Top Three Mistakes With K-Means Clustering During Data Analysis

        Close look on 3 cases where KMC algorithm does not perform well or may produce unintuitive results


        • Python 3.8.0 Released

        New release contains assignment expressions, positional-only arguments and more.

        • Django 3.0 beta 1 released

        Another update of the popular Python framework.

        • PyPy V7.2 Released

        A new rease of Python implementation on Python (C, like original one) brings lot of new features, such as ARM aarch64 support, new JSON decoder, sandboxing makes a return, etc

        Python News Digest 21 - 27.03

        Fast subsets of large datasets with Pandas, how to use Pandas read_html, new pip resolver release announced and more
        27 March 2020   919

        Greetings! I hope your week went great! Here's new frontend technologies news digest.

        Learn how to do a binary search in Python, check the introduction to SQLAlchemy ORM for Django developers, read about the Python code metrics and other cool things, prerpared for you.


        • Fast subsets of large datasets with Pandas and SQLite

        Tutorial about fast subsets of large datasets with Pandas and SQLite

        • The Python math Module: Everything You Need to Know

        This guide will teach you all about Python’s math module for higher-level mathematical functions

        • How to use Pandas read_html to Scrape Data from HTML Tables

        Detailed tutorial on how to use Pandas read_html method for scraping data from HTML

        • More on service layers in Django

        Another chapter of post about the drawbacks of using a service layer architecture for building Django apps.


        • New pip resolver to roll out this year

        Developers says there will be big changes to how pip determinates what to install, based on the package requirements


        • Python 3.9.0a5

        Early developer preview of Python 3.9 is now available


        Library for heavy-text manipulation in Python

        • WhyNot

        A Python sandbox for decision making in dynamics

        • PySimpleGUI-COVID19

        Python written tools to help analyze the spread of the COVID-19 virus

        • Z3

        Python-written theorem prover from Microsoft Research