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Python

  • Python
    Building REST APIs Using EVEPython78
    465 shares
    Python is one of the most easy to read and easy to write programming languages of all times. Over the years, the popularity of Python has only increased and is widely used in web application development, scripting, creating games, scientific computing etc. In this tutorial, we'll have a look at EVE, a REST API building framework based on Flask, MongoDB and Redis.Read More…
  • Python
    Behavior-Driven Development in PythonBdd in python
    313 shares
    Behavior-Driven Development is an excellent process to follow in software development. With testing often a practice that is pushed aside to the last minute (or ignored entirely), baking the process into your daily workflow can prove to be hugely beneficial to the quality of your code. The structure and design of the tests, coupled with the Gherkin syntax, makes tests easy to read—even for team members with non-technical backgrounds. Read More…
  • Python
    Beginning Test-Driven Development in PythonTdd in python
    507 shares
    Test-driven development (TDD) is a process that has been documented considerably over recent years. A process of baking your tests right into your everyday coding, as opposed to a nagging afterthought, should be something that developers seek to make the norm, rather than some ideal fantasy. Read More…
  • D3
    Data Visualization App Using GAE Python, D3.js and Google BigQuery: Part 4Logo
    198 shares
    In the previous tutorial in this series, we saw how to plot data fetched from Google BigQuery into our D3.js chart. But there are a few issues, for example the scale doesn't change dynamically, and the circles plotted don't get removed on subsequent searches. In this tutorial, we'll see how to resolve those issues and use D3.js transitions to animate the graph. We'll also add certain features to make our graph more interactive.Read More…
  • D3
    Data Visualization App Using GAE Python, D3.js and Google BigQuery: Part 3Logo
    273 shares
    In the previous part of this tutorial, we saw how to get started with D3.js, and created dynamic scales and axes for our visualization graph using a sample dataset. In this part of the tutorial, we'll plot the graph using the sample dataset.Read More…
  • Python
    Data Visualization App Using GAE Python, D3.js and Google BigQuery: Part 2Logo
    217 shares
    In the first part of this series, we created a Python application and deployed it to Google App Engine (GAE). From the application we connected it to a Google BigQuery dataset and fetched the data into our application. In this tutorial, we'll see how to visualize the data using the JavaScript library D3.js.Read More…
  • Python
    Data Visualization App Using GAE Python, D3.js and Google BigQueryUntitled
    501 shares
    Imagine that you have a large set of data with millions of rows and you're faced with the task of extracting information from the data. How do you make sense of a large set of data? The simple answer to this question is that we do so via data visualization, but what is that, exactly?Read More…
  • Web Development
    Rapid Website Deployment With Django, Heroku & New Relic21543
    168 shares
    Rapidly deploying websites has never been easier, or as affordable as it is now, when combining Django, Heroku, and New Relic. Follow along in this tutorial as we build a portfolio website using these three excellent tools. Read More…
  • Web Development
    Easily Deploy Redis Backed Web Apps With DockerDocker wide retina preview
    207 shares
    Learn how to setup and deploy a Redis powered Python web app using Docker.Read More…
  • Python
    Beginner's Guide to the Django Rest FrameworkDjango rest framework wide retina preview
    112 shares
    Learn how to build web-viewable APIs, configure serializers, and use class based views, all with the Django Rest Framework.Read More…
  • Python
    Advanced Python Data StructuresPython structures retina preview
    41 shares
    The aim of this tutorial is to show off Python's data structures and the best way to use them. Depending on what you need from a data structure, whether it's fast lookup, immutability, indexing, etc, you can choose the best data structure for the job and most of the time, you will be combining data structures together to obtain a logical and easy to understand data model. Read More…
  • Python
    Intro to Flask: Signing In and OutFlask preview 400
    29 shares
    Many web applications require users to sign in and out in order to perform important tasks (like administration duties). In this article, we'll create an authentication system for our application.Read More…