Items tagged pandas in 2017
Filters: Year: 2017 × pandas × Sorted by date
Big Data Workflow with Pandas and SQLite (via) Handy tutorial on dealing with larger data (in this case a 3.9GB CSV file) by incrementally loading it into pandas and writing it out to SQLite. # 28th November 2017, 11:02 pm
Exploring Line Lengths in Python Packages. Interesting exploration of the impact if the 79 character length limit rule of thumb on various Python packages—and a thoroughly useful guide to histogram plotting in Jupyter, pandas and matplotlib. # 10th November 2017, 3:34 pm
A Minimalist Guide to SQLite. Pretty comprehensive actually—covers the sqlite3 command line app, importing CSVs, integrating with Python, Pandas and Jupyter notebooks, visualization and more. # 2nd November 2017, 1:23 am
Exploring United States Policing Data Using Python. Outstanding introduction to data analysis with Jupyter and Pandas. # 29th October 2017, 4:58 pm
Streaming Dataframes. This is some deep and brilliant magic: Matthew Rocklin’s Streamz Python library provides some elegant abstractions for consuming infinite streams of data and calculating cumulative averages and rolling reductions... and now he’s added an integration with jupyter that lets you embed bokeh graphs and pandas dataframe tables that continue to update in realtime as the stream continues! Check out the animated screenshots, this really is a phenomenal piece of work. # 19th October 2017, 2:25 pm
PyPy v5.9 Released, Now Supports Pandas, NumPy. NumPy and Pandas now work on PyPy2.7. “Many other modules based on C-API extensions work on PyPy as well.” # 5th October 2017, 4:58 pm