When we first started developing in Flask, most of us took the 5 lines of code in the quick-start guide and ran with it. Compared to every other web framework, getting a "Hello world" to flash on screen without being
October 15, 2018
Python
56 Posts
The language, the legend, the liberator.
Extract Nested Data From Complex JSON
The Pythonic way of working with JSON objects
We're all data people here, so you already know the scenario: it happens perhaps once a day, perhaps 5, or even more. There's an API you're working with, and it's great. It contains all the information you're looking for, but
Reading and Writing to CSVs in Python
Playing with tabular data the native Python way.
Tables. Cells. Two-dimensional data. We here at Hackers & Slackers know how to talk dirty, but there's one word we'll be missing from our vocabulary today: Pandas.Before the remaining audience closes their browser windows in fury, hear me out.
Using Random Forests for Feature Selection with Categorical Features
Python helper functions for adding feature importance, and displaying them as a single variable.
Flask Routing & Sessions: A Subtle Symphony
With great flexibility comes great responsibility
It isn't often you find somebody sad or miserable enough to detail the inner workings of web framework features, such as sessions or routing. This is understandably so; we use frameworks because presumably hate dealing with these things from scratch.
Tuning Random Forests Hyperparameters with Binary Search Part III: min_samples_leaf
Tune the min_samples_leaf parameter in for a Random Forests classifier in scikit-learn in Python
So You've Fucked up your Python Path
A timeless hazing ritual for new Python devs, and how to fix it
I remember back to when I first learned Python. It was a strange decision for a happily employed post-graduate to make, especially for a time when many were screaming for the death of the language with Guido's (outrageous?) grand reveal
Tuning Random Forests Hyperparameters with Binary Search Part II: max_depth
Code snippet corner is back! Tune the max_depth parameter in for a Random Forests classifier in scikit-learn in Python
Code Snippet Corner: Tuning Machine Learning Hyperparameters with Binary Search
Tune the n_estimators parameter in for a Random Forests classifier in scikit-learn in Python
Ah, hyperparameter tuning. Time & compute-intensive. Frequently containing weird non-linearities in how changing a parameter changes the score and/or the time it takes to train the model.
RandomizedSearchCV goes noticeably faster than a full GridSearchCV but it still takes
Create a Custom JIRA Service Desk Portal in Python
When SaaS doesn't cut it, beat it down and take everything its got
When it comes to SaaS products in the realm of Service desks, JIRA Service Desk is at the very least, just as powerful as the next solution (Zendesk comes to mind). This naturally begs the question: Why is JIRA Service