Python doesn't have a built-in way to run untrusted code safely. Multiple attempts have been made, but none really succeeded.
Why? Because Python is a highly introspective object-oriented language with a mutable runtime. Core elements of the interpreter can be accessed through the object graph, frames and tracebacks, making runtime isolation difficult. This means that even aggressive restrictions can be bypassed:
# Attempt: Remove dangerous built-ins
del __builtins__.eval
Merging two hash maps seems like an O(N) operation. However, while merging millions of keys, I encountered a massive >10x performance degradation unexpectedly. This post explores why some of the most popular libraries fall into this trap and how to fix it. The source code is available here.
| /* Enhancements to the Twitter Scraping Script: | |
| This update to the script introduces a more robust mechanism for extracting detailed interaction data from tweets as they are scraped from Twitter. Previously, the script focused on collecting basic content such as the tweet's text. Now, it has been augmented to include a comprehensive extraction of interaction metrics, including replies, reposts, likes, bookmarks, and views, for each tweet. | |
| Key Changes: | |
| 1. Improved Data Extraction: | |
| - The script now searches through all elements within a tweet that have an `aria-label` attribute, filtering for labels that contain key interaction terms (replies, reposts, likes, bookmarks, views). This ensures that only relevant `aria-labels` are considered for data extraction. | |
| 2. Flexible Interaction Data Parsing: |
How to make an application icon for macOS using
iconset&iconutil
Divyansh Prakash, September 2023
NOTE: Please read the previous post to understand the context of this post.
| (ns webdav | |
| (:require [clojure.string :as str] | |
| [clojure.data.xml :as xml] | |
| [org.httpkit.server :as hk-server])) | |
| ;; add the XML namespace that we'll use later | |
| (xml/alias-uri 'd "DAV:") | |
| (defn dissoc-in | |
| "Should be in the standard library..." |
The pytorch (neural network library) examples include a script to try out the training process for MNIST digit recognition data set: https://github.com/pytorch/examples/tree/main/mnist
This builds up a convolutional neural network that takes one of these pictures and processes it down to 10 neurons. The training process uses two sets of labelled data (examples of pictures of digits and which of the 10 possible digits they are): One training set and one testing set. The training set is used to manipulate all of the "weights" inside the neural network by moving in the (very high dimensional) direction of fastest descent, aiming to get the output neurons to produce the intended label given the input picture. The testing set is used as a metric to say how well the neural network is doing.
I ran this, creating mnist_cnn.pt with 99% accuracy on the test data set.
Then I wanted to see if it worked, so I drew images of all 10 digits. There was no way to try this out so I wrote the attach
Imagine you need to implement (integer) mulitplication in code. Maybe you are on a system which doesn't have it or something. How to do this, and what is the minimal set of operators that are required?
The most obvious way to do multiplition is through repeated addition. To get the answer to 56 x 67 you add 56 to itself 67 times (or 67, 56 times - the order doesn't matter).
This is simple to implement if we assume for the moment that both a and b are positive (we will deal with negative integers later)
In the last years I've been asked multiple times about the comparison between raylib and SDL libraries. Unfortunately, my experience with SDL was quite limited so I couldn't provide a good comparison. In the last two years I've learned about SDL and used it to teach at University so I feel that now I can provide a good comparison between both.
Hope it helps future users to better understand this two libraries internals and functionality.
Majority of the resources I used to build Tucan, my toy optimizing compiler in Rust. This list is not complete but most of the things listed here are things I really read through and used.
