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Stack Abuse: Serverless Python Application Development with AWS Chalice

Link: https://stackabuse.com/serverless-python-application-development-with-aws-chalice/

Introduction
In software development, we are constantly building solutions for end-users that solve a particular problem or ease/automate a certain process. Therefore, designing and building the softw
PSF GSoC students blogs: 5th weekly checkin

Link: http://blogs.python-gsoc.org/en/leovictorsrs-blog/5th-weekly-checkin/





Hello everyone!
This weekly check-in is related to the scheduled for July 29.
1. What did you do this week?
This week I got my PR merged. I finished the tests for command setup and am now editing
Chris Moffitt: Automated Report Generation with Papermill: Part 2

Link: https://pbpython.com/papermil-rclone-report-2.html


Introduction
This guest post is the second article about using python tools to automate
a report generation pipeline. If you have not read the first post you should probably
review before continuing
Real Python: Understanding the Python Traceback

Link: https://realpython.com/python-traceback/

Python prints a traceback when an exception is raised in your code. The traceback output can be a bit overwhelming if you’re seeing it for the first time or you don’t know what it’s telling you. But t
PSF GSoC students blogs: So long, FFTPACK

Link: http://blogs.python-gsoc.org/en/peterbell10s-blog/so-long-fftpack/

What did you do this week?

Perhaps the most significant task this week was completely removing the fortran FFTPACK code from SciPy and rewriting scipy.fftpack using scipy.fft's pocketfft backend. Thi
PSF GSoC students blogs: weeklyCheckIn[9]

Link: http://blogs.python-gsoc.org/en/plant99s-blog/weeklycheckin-9/

What did I do this week?
After completing tests and features for mscolab's project window and getting the PR merged, I started working on a more tricky part of the project. Introducing version control
Luke Plant: Pylint false positives

Link: https://lukeplant.me.uk/blog/posts/pylint-false-positives/

In some recent discussion on Reddit,
I claimed that, for cases where I’m already using flake8, it seemed as though 95% of Pylint’s
reported problems were false positives. Others had very different exp
Ofosos: A digital tally list for hackerspaces

Link: https://ofosos.org/2019/07/29/a-digital-tally-list-for-hackerspaces/

I'm a member of an open workshop in my hometown. Last week we started joking around about getting a drink vending machine. Still half joking, I started searching on eBay for used vending machines. Whi
PSF GSoC students blogs: Weekly Summary #10

Link: http://blogs.python-gsoc.org/en/sandos-blog/weekly-summary-10/

Hi everyone!
""""
What did you do last week
In this week I was working on the development of the web service for testing, also advanced in the wsmtxca test of electronic billing with details and an im
ListenData: Python : 10 Ways to Filter Pandas DataFrame

Link: https://www.listendata.com/2019/07/how-to-filter-pandas-dataframe.html

In this article, we will cover various methods to filter pandas dataframe in Python. Data Filtering is one of the most frequent data manipulation operation. It is similar to WHERE clause in SQL or you
ListenData: 15 ways to read CSV file with pandas

Link: https://www.listendata.com/2019/06/pandas-read-csv.html

This tutorial explains how to read a CSV file in python using read_csv function of pandas package. Without use of read_csv function, it is not straightforward to import CSV file with python object-ori
ListenData: Matplotlib Tutorial – Learn Plotting in Python in 3 hours

Link: https://www.listendata.com/2019/06/matplotlib-tutorial-learn-plot-python.html

This tutorial outlines how to perform plotting and data visualization in python using Matplotlib library. The objective of this post is to get you familiar with the basics and advanced plotting functi
ListenData: How to drop one or more columns in Pandas Dataframe

Link: https://www.listendata.com/2019/06/pandas-drop-columns-from-dataframe.html

In this tutorial, we will cover how to drop or remove one or multiple columns from pandas dataframe.What is pandas in Python?pandas is a python package for data manipulation. It has several functions
ListenData: Python : Complete Guide to Date and Time Functions

Link: https://www.listendata.com/2019/07/how-to-use-datetime-in-python.html

In this tutorial, we will cover python datetime module and how it is used to handle date, time and datetime formatted columns (variables). It includes various practical examples which would help you t
ListenData: Python Dictionary Comprehension with Examples

Link: https://www.listendata.com/2019/07/python-dictionary-comprehension.html

In this tutorial, we will cover how dictionary comprehension works in Python. It includes various examples which would help you to learn the concept of dictionary comprehension and how it is used in r