Python-EFL is a wrapper around the Enlightenment GUI kit. This series of tutorials is an update from the original author. Simple window Be sure to read first: How to install Python-efl on Ubuntu or Linux Mint ”’ Abdur-Ramaan Janhangeer Updated from Jeff Hoogland’s tutos for Python3.9 and Python-elf 1.25.0 https://www.toolbox.com/tech/operating-systems/blogs/py-efl-tutorial-1-hello-elementary-022415/ ”’ import efl.elementary as elm …
People talk about FastAPI a lot, but they give little attention to Sebastián Ramírez, alias tiangolo. It’s so obvious to me that FastAPI is a reflection of someone cool. It’s hard to miss the fact that FastAPI is cool but it has lots of details that shine beyond technical ones. Commit messages If you take …
I wanted to do import module module() I thought this did not exist in Python but Chris Angelico, a Python core dev showed me it existed! # importme.py import sys, types class Module(types.ModuleType): def __call__(self): print(“You called me!”) sys.modules[__name__].__class__ = Module # other_file.py import importme importme() Mind boggling!
Python-efl is the binding for EFL, an awesome and performance-obcessed set of libraries. EFL stands for Enlightment Foundation Libraries. It was started for the Enlightment desktop project and developed into a set of libraries. This tutorial shows how to install python-efl. Install Instructions First create a new folder called efl_dev mkdir efl_dev cd efl_dev Then …
How to install Python-efl on Ubuntu or Linux Mint Read More »
I was looking through Grinberg’s tuto on celery and flask. I saw querying tasks by task = long_task.AsyncResult(task_id) But for some reasons it was not working for me. I looked at Flower‘s get_task_by_id which led to wrapping a tornado object. It was too complicated for me to include Tornado in my project. I browsed through …
How to solve celery task has no attribute AsyncResult Read More »
Using celery 5.1.2 you can get the task id by the following code snippet: from celery import current_app as celery_app # in your function: celery_app.tasks[‘task_dosomething’].AsyncResult(‘task_id’) Where task_dosomething is the name of your task and task_id is the id you choose. You can learn more about setting task id here Works on windows 8
Here’s a convenient way to set task id in celery: import uuid # in-built in Python task_id = str(uuid.uuid1()) task_dosomething.apply_async(task_id=task_id) task_dosomething is your task function name. Works on windows 8
After much struggling, here’s the magical formula we got for getting the server response back for chunck uploads: var myDropzone = new Dropzone(document.body, { // Make the whole body a dropzone thumbnailWidth: 80, thumbnailHeight: 80, parallelUploads: 20, previewTemplate: previewTemplate, autoQueue: false, // Make sure the files aren’t queued until manually added previewsContainer: “#previews”, // Define …
How to get server response from DropzoneJs for chunk uploads Read More »
FastAPI positions itself as one of the best choices for API development in Python. The project is polished for sure, the docs are sleek and the commit messages awesome. It collected some nice parts and pieced them together to produce an artifact infused and driven by pragmatism. But the community is wrong, completely wrong and …
#12 association analysis Machine Learning ♡ supervised learning 👉 ♡ unsupervised learning ♡ reinforcement learning unsupervised learning is where your program has to find how the data relates to each other. there is no prior training types of unsupervised learning ♠️ clustering ♠️ association association analysis finds associations between items, like what customers usually buy …
#11 unsupervised learning Machine Learning ♡ supervised learning 👉 ♡ unsupervised learning ♡ reinforcement learning unsupervised learning is where your program has to find how the data relates to each other. there is no prior training types of unsupervised learning ♠️ clustering ♠️ association 🎲 clustering the k means (the distance-based) algorithm is used to …
#10 naive bayes Machine Learning 👉♡ supervised learning ♡ unsupervised learning ♡ reinforcement learning recap: 🔖 types of supervised learning ✅ classification 📑 ✅ regression 📈 ✅ mixed ⚗ naive bayes classification ⚱ bayes theorem bayes theorem states that P(B|A) = (P(A|B) * P(B)) / P(A) Probability of B given A = … 🔎 naive …
#9 neural networks Machine Learning 👉♡ supervised learning ♡ unsupervised learning ♡ reinforcement learning recap: 🔖 types of supervised learning ✅ classification 📑 ✅ regression 📈 ✅ mixed ⚗ – tree based – random forest – neural networks 🎈 – support vector machines neural networks neural networks require a bit of explanation. entire books can …
#8 support vector machines Machine Learning 👉♡ supervised learning ♡ unsupervised learning ♡ reinforcement learning recap: 🔖 types of supervised learning ✅ classification 📑 ✅ regression 📈 ✅ mixed ⚗ – tree based – random forest – neural networks – support vector machines 🎈 support vector machines (svm) 🔎 support vectors : read on to …
Machine Learning Part 8: Support Vector Machines Read More »
This problem was asked by Stripe. Given an array of integers, find the first missing positive integer in linear time and constant space. In other words, find the lowest positive integer that does not exist in the array. The array can contain duplicates and negative numbers as well. For example, the input [3, 4, -1, 1] should …
