Import Python: #164 - What's new in Python 3 via code snippets, Collect Your Own Fitbit Data with Python and more

This blog uses a simple web service as an example to show you how to setup your first GoCD continuous delivery pipeline and manage your build version in it. Check out the blog - https://goo.gl/U4bnKk

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What's new in Python 3 via code snippets.

python3

For years I’ve noodled around with various setups for a Python development environment, and never really found something I loved – until now.

pyenv

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pipsi

I’m going to teach you how to collect your own Fitbit data using nothing but a little Python code.

fitbit

In this tutorial we will be using the hand labelled Standford movie review database (0) to build a sentiment classifier. Our work will highlight how to use Jupyter Notebooks with Python, Scikit-learn, and Pandas (including Numpy) to build and crossvalidate a sentiment classifier. We will also throw in a bit of EDA with the help of Matplotlib and Seaborn.

machine learning

I use the Python interpreter interactively and pdb (as well as ipdb) a lot and they let me understand my programs' state and test new things out quickly.

debugging

Top companies and start-ups trust Toptal to hand-select top software engineers for their most important projects.

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Searching from a complex set of data has become a routine in almost all kind of applications. So I am creating a series on Elasticsearch integration with Django. I this part of series, I will be giving you a brief information about Elasticsearch and its installation on a Linux based system.

elasticsearch

PEP 563 as well as this page declare that postponed evaluation of type annotations will become the default in Python 4.0. The authors don't give any further explanation nor do they seem to think there is any further explanation required. I've never seen Python 4.0 mentioned seriously before and I find this a bit unsettling. Can somebody provide more details?

4.0

Scrape the Twitter Frontend API without authentication.

A Python library that allows you to interact with Amazon S3 Buckets as if they are your local filesystem.

Fine-tune pretrained Convolutional Neural Networks with PyTorch

AWS System Manager Parameter Store caching client for Python

An example of running JupyterLab on Heroku, with Amazon S3.

Tracking a cursor across a webpage using only CSS.

A tool to allow US addresses to be geocoded/georeferenced easily, without using Python or the command line or paid services or anything.

Heroku Platform API client for Python.

Simple method used to load configuration variables from different sources.

Takes power from simplicity. Simple, Powerful, Async web framework developed with Asgard Technologies.