|The Weekly Top 10: More Python Web Development Resources|
|Written by Alex Armstrong|
|Thursday, 24 November 2016|
Web development using Python is the topic of this week's catch of blog posts that might otherwise have escaped your notice, with something of interest to every Python web developer.
This post describes how we build, package, and deploy Python using versioned artifacts in Debian packages instead of git pull and pray.
I have developed a workflow that focuses on getting a quick-and-dirty model up and running, and then going back to iterate on the weak points until the model seems to be converging on an answer. In this blog post, I will show how I got the raw data machine-learning ready and build a few quick models.
In this tutorial, you will learn how to create a database and a SQLite table.
In this article, we list 10 resources that can help you learn Python online.
There are a number of tutorials about how to get started with the Django framework, but few that discuss how to use Django in a professional way, using industry accepted best practices to make sure your project's development practices scale as your application grows. This tutorial describes how to start a Django 1.6 project the right way.
This free e-book tells the story of Python, why Python is a good language for learning, how its community gives great support, and covers Raspberry Pi as a case study.
I decided to create this tutorial to help many others to learn Python faster. In this tutorial, we will take bite sized information about how to use Python for Data Analysis, chew it till we are comfortable and practice it at our own end.
My advice below includes what I did for last spring’s Computational Journalism class, specifically, the Search-Script-Scrape project, which involved 101-web-scraping exercises in Python. It includes the most useful Python libraries for web scraping and a list of real-world exercises to try them on.
In this post, we share some best practices we would like to recommend, based on the experience of developing - and maintaining - a vast number of Django CMS sites over the years. These rules - which you’re free to break, ignore or improve upon - make our lives easier and will help you too.
Generators are functions that can be paused and resumed on the fly, returning an object that can be iterated over. This article details how to create generator functions and expressions as well as why you would want to use them in the first place.
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|Last Updated ( Tuesday, 29 November 2016 )|