Data Elixir - Data Elixir - Issue 422
ISSUE 422 · January 31, 2023ResourcesPandas Illustrated: The Definitive Visual GuideGreat, in-depth guide to pandas that's part tutorial and part reference, with lots of visuals, code samples and links to additional resources. Starts with a good discussion of how pandas is useful and continues with sections on Series & Index, DataFrames, and MultiIndexing. Sponsored LinkWhat do developers want the most in 2023? Is it better documentation or different tools?Take part in the new Developer Nation survey and shape the ecosystem! For every survey response, Developer Nation will donate to one of the charities of respondents’ choosing. Hurry up, the survey is open until February 3! Start here. Tutorials, Projects & OpinionsSimpson's Paradox and Existential TerrorGreat post about Simpson's paradox — a widely misunderstood statistical phenomenon. Accelerating our A/B experiments with MLThis post explores a new testing approach that uses machine learning to predict the probable value of a customer. It's called "expected revenue" and it lets Dropbox make conclusions about A/B tests in days, rather than months, which means they can run experiments more often. Replacing a SQL analyst w/ 26 recursive GPT promptsThis probably won't replace people but it's a nice demonstration of how GPT could be used to help augment analytic workflows. The post is easy to follow and there's enough detail here that it could be a good starting point for your own needs and experiments. Data is the lifeblood of modern businesses.Innovating and delivering products quickly is essential to any company’s survival, but taking shortcuts on data security and privacy is very costly in the long run. As you aim to balance speed and security, don’t lose sight of the most common data privacy pitfalls and how you can avoid them. Download the free white
paper today. Tools & Codeipyflowipyflow is a next-generation Python kernel for Jupyter and other notebook interfaces that tracks dataflow relationships between symbols and cells during a given interactive session. It offers reactivity, execution suggestions, syntax extensions, and more. tidypolarstidypolars is a data frame library built on top of the blazingly fast polars library that gives access to methods and functions that are familiar to R tidyverse users. CareerWhat we look for in a resumeIf you're looking for work, this post will help you understand how resumes are read and what someone on the other side of the table might be looking for. There's a lot here, including how to show you have the right skills, resume length, cover letters, how startups are different, and more. Includes useful links. Was this email forwarded to you? Sign up here >> |
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Data Elixir - Issue 421
Tuesday, January 24, 2023
Crafting a career. Pandas coding assistant. Google Research trends. DS cheatsheets. Framework for effective ML. Proximity analysis.
Data Elixir - Issue 420
Friday, January 20, 2023
Modern Polars. GPT from scratch. Predictions via mixed models. ML for weather and climate. GNU Octave for Jupyter.
Data Elixir - Issue 419
Tuesday, January 10, 2023
Matrices and graphs. Visualization trends. SQL tells a human story. Combining R and Python. Flow fields tutorial. ML cheatsheets.
Data Elixir - Issue 418
Tuesday, January 3, 2023
Top Python libraries in 2022. Soccer ⚽ Analytics Review. computing the eigendecomposition and SVD. How Shapley values work. Spatial data analysis with Python.
Data Elixir - Issue 417
Tuesday, December 20, 2022
High-dimensional probability. 2023 conferences. Breaking the winner's curse. TikTok's recommender secrets. Working with spatial data.
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