I faced an interesting challenge at work the other day. I felt like sharing because it might save a few hours for others, or reveal some insights about the Python internals.
In this video series, we will be tackling Python Regular Expressions.
The first few videos we will go over the basics, and then tackle some intermediate problems using Python Regular Expressions.
eSignature API Integration. HelloSign eSign API. Test the API for free.
In this tutorial, I’ll be taking you through the basics of developing a vehicle license plate recognition system using the concepts of machine learning with Python.
logging beyond 101
We will see in this article how to detect if an image contains celebrities with Sightengine.
Curator’s Note – I am a big Game of Thrones fan so had to share this.
As a fan of Game of Thrones, I couldn’t wait for it to return for a 7th season. Watching the season premier, I greatly enjoyed that iconic scene of Sam doing his chores at the Citadel. I enjoyed it so much that I wanted to see more of it… much more of it. In this post we’ll take the short video compilation of Sam cleaning the Citadel, we will split it to multiple sub clips and create a video of Sam cleaning the Citadel using a random mix of those sub clips.
The aim of this short notebook is to show how to use NumPy and SciPy to play with spectral audio signal analysis (and synthesis).
Every once in a while it is useful to take a step back and look at pandas’ functions and see if there is a new or better way to do things. I was recently working on a problem and noticed that pandas had a Grouper function that I had never used before. I looked into how it can be used and it turns out it is useful for the type of summary analysis I tend to do on a frequent basis.
For any program that is used by more than one person you need a way to control identity and permissions. There are myriad solutions to that problem, but most of them are tied to a specific framework. Yosai is a flexible, general purpose framework for managing role-based access to your applications that has been decoupled from the underlying platform. This week the author of Yosai, Darin Gordon, joins us to talk about why he started it, his experience porting it from Java, and where he hopes to take it in the future.
Recently, I worked on a Python project that required the whole codebase to be protected using Cython. Although protecting Python sources from reverse engineering seems like a futile task at first, cythonizing all the code leads to a reasonable amount of security (the binary is very difficult to disassemble, but it’s still possible to e.g. monkey patch parts of the program). This security comes with a price though – the primary use case for Cython is writing compiled extensions that can easily interface with Python code. Therefore, the support for non-trivial module/package structures is rather limited and we have to do some extra work to achieve the desired results.
The complication arises when invoking awaitable functions. Doing so requires an async defined code block or coroutine. A non-issue except that if your caller has to be async, then you can’t call it either unless its caller is async. Which then forces its caller into an async block as well, and so on. This is “async creep”.
Maybe you’ve heard about it in preparing for coding interviews. Maybe you’ve struggled through it in an algorithms course. Maybe you’re trying to learn how to code on your own, and were told somewhere along the way that it’s important to understand dynamic programming. Using dynamic programming (DP) to write algorithms is as essential as it is feared.
Today, let’s use TensorFlow to build an artificial neural network that detects fake banknotes.
What would you do if you wanted to know which files are the most similar to a particular text-based file? For example to find a particular configuration file which has changed its filename and its contents.
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