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Code Snippet Corner
Your weekly dose of Python tidbits and Jupyter notebooks to get you feeling saucy.
Post
1
Using Pandas and SQLAlchemy to Simplify Databases
Use SQLAlchemy with PyMySQL to make database connections easy.
Post
2
Getting Conda Envs (And Environment Variables!) To Play Nicely With Cron
Set up CRON jobs to interact with Conda environments.
Post
3
A Dirty Way of Cleaning Data (ft. Pandas & SQL)
Cleaning data in Pandas the dirty way.
Post
4
Trash Pandas: Messy, Convenient DB Operations via Pandas
(And a way to clean it up with SQLAlchemy).
Post
5
All That Is Solid Melts Into Graphs
Reshaping Pandas dataframes with a real-life example, and graphing it with Altair.
Post
6
Importing Excel Datetimes Into Pandas, Part I
Parse dates and times from Excel .xlsx correctly when using Pandas.
Post
7
Importing Excel Datetimes Into Pandas, Part II
Import dates & times from Excel .xlsx files into Pandas!
Post
8
Tuning Machine Learning Hyperparameters with Binary Search
Tune the n_estimators parameter in for a Random Forests classifier in scikit-learn in Python.
Post
9
Tuning Random Forests Hyperparameters with Binary Search Part II: max_depth
Tune the max_depth parameter in for a Random Forests classifier in scikit-learn in Python
Post
10
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 .
Post
11
Using Random Forests for Feature Selection with Categorical Features
Python helper functions for adding feature importance, and displaying them as a single variable.
Post
12
Downcast Numerical Data Types with Pandas
Using an Example Where We Downcast Numerical Columns.
Post
13
Removing Duplicate Columns in Pandas
Dealing with duplicate column names in your Pandas DataFrame.
Post
14
Recasting Low-Cardinality Columns as Categoricals
Downcast strings in Pandas to their proper data-types using HDF5.
Post
15
Code Snippet Corner: Splitting Columns With Pandas
Splitting up columns that contain multiple things with Python and Pandas
Post
16
Code Snippet Corner: Being REALLY Lazy With Multiple Aggregations in Pandas
Perform multiple aggregate functions simultaneously with Pandas 0.25