Python Weekly (Issue 348 - May 24 2018)

Python Weekly - Issue 348Â

May 24, 2018

Python Weekly

Welcome to issue 348 of Python Weekly. Let's get straight to the links this week.

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Articles, Tutorials and Talks

Simple and comprehensive tutorials in TensorFlow.

In this blog post, we recreate Ed Hawkins' climate spirals in Python. In addition to Python, we use pandas and matplotlib

With the right process in place, it will not be difficult to find state-of-the-art hyperparameter configuration for a given prediction task. Out of the three approaches — manual, machine-assisted, and algorithmic — this article will focus on machine-assisted. The article will cover how I do it, get to the proof that the method works, and provide the understanding of why it works. The main principle is simplicity.

This post demonstrates how to acquire, analyze, and visualize sixteen years’ worth of global land surface temperature data with Python. Along the way, it also illustrates ways you can use xarray, matplotlib, and cartopy to select, group, aggregate, and plot multi-dimensional data.

In this article, you will create, step by step, a full-stack application with Django and Vue.js.

Part of Speech Tagging (POS) is a process of tagging sentences with part of speech such as nouns, verbs, adjectives and adverbs, etc. Hidden Markov Models (HMM) is a simple concept which can explain most complicated real time processes such as speech recognition and speech generation, machine translation, gene recognition for bioinformatics, and human gesture recognition for computer vision, and more. In this post, we will use the Pomegranate library to build a hidden Markov model for part of speech tagging.

This tutorial is intended to help you get up-and-running with Matplotlib quickly. We’ll go over how to create the most commonly used plots, and discuss when to use each one.

Python Jobs of the Week

If you’re a fearless generalist with at least a year of commercial experience who loves working with Django and Python, then this could be the perfect opportunity for you. Beauhurst is on a mission to find and track every ambitious, high-growth business in the UK. Our web platform is the number one source for data on these exciting companies. As we expand our coverage and strive to make our product even more useful, you’ll help deliver new and improved ways of accessing, storing and analysing our data.

Interesting Projects, Tools and Libraries

Can you make an High Quality Gif from A to Z only by coding? Yes. Do you want to, though?

The next generation object-relational database.

A Python utility belt. Extra batteries included!

Lightweight Python app to display the progress of Maven builds in the command line.

A program that automatically creates Flask apps from Bootstrap templates.

100+ extra higher-level functional tools beyond standard library's `itertools`, `functools`, etc. and popular third-party libraries like `toolz`. 

A series of Docker images (and their generator) that allows you to quickly set up your deep learning research environment.

Interface to manage and centralize Google Alert information.

Apply Waseerstein GAN into SRGAN, a deep learning super resolution model.

Cross-platform tool for adding locations to the user PATH, no sudo/runas required!

A tool to automatically generate alternative IP representations.

A python library for accurate and scaleable fuzzy matching, record deduplication and entity-resolution.

A Pluggable Dependency Resolver written in Python. Intended for bringing dependency resolution to pip.

New Releases

This is a major release from 0.22.0 and includes a number of API changes, deprecations, new features, enhancements, and performance improvements along with a large number of bug fixes.

Upcoming Events and Webinars

There will be a talk, Elasticsearch: Accelerating the Django Admin.

There will be a talk, Managing Machine Learning Experiments. After the talk and an intermission, we'll discuss this year's PyCon, which was held from May 9th to 17th.

Our Other Newsletters

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