A basic week-end project: Go based dashboard for Google Analytics real time API
“To celebrate my sub-30 minute finish on the manitou springs incline, I figured I’d drop some python and pandas knowledge while analyzing the data using beautifulsoup, pandas, python dateutil, python googlemaps, python geopy and the standard library.
I try to look at things in a non-trivial way and reflective of actual problems you encounter analyzing real world data. The data file is here https://gist.github.com/jrjames83/4de9d124e5f43a61be9cb2a… come code along!”
As part of the normal cycle of things, our most recent boom in enterprise technology development has slowed, which always leaves the industry breathless about whatever’s left that’s actually new. Witness, for example, the current mania over AI and machine learning.
I’ve had my fill of AI-washing, so the most interesting new area to me today is serverless computing, which hit the radar a couple of years ago when Amazon introduced AWS Lambda. The basic idea is that, finally, developers can build without worrying about physical or virtual servers or even containers. Instead, devs can simply assemble services from small building blocks of code called functions, and all that messy infrastructure stuff under the hood takes care of itself.
Gixy is a tool to analyze Nginx configuration. The main goal of Gixy is to prevent security misconfiguration and automate flaw detection.
Currently supported Python versions are 2.7 and 3.5+.
A solid text editor is a developer’s best friend. You use it constantly and it becomes like a second pair of hands. The keyboard commands you use daily become so engrained in your muscle memory that you stop thinking about them entirely.
With Sublime Text, it’s possible to turn your text editor into the functional equivalent of a Python IDE. The best part is you don’t have to install an IDE to do it.
Ever wanted to use a few different databases to build your app? Different types of databases are meant for different purposes, so it often makes sense to combine them. You might be hesitant due to the complexity of maintenance and coding, but it can be easy if you combine Compose and GraphQL: instead of writing a number of complex REST endpoints, each querying multiple databases, you set up a single GraphQL endpoint that provides whatever data the client wants using your simple data fetching functions.
In these tutorials for pyTorch, we will build our first Neural Network and try to build some advanced Neural Network architectures developed recent years.