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www.ethanrosenthal.com | ||
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pablormier.github.io
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| | | | | an example of a blog post with disqus comments | |
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sebastianraschka.com
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| | | | | I'm Sebastian: a machine learning & AI researcher, programmer, and author. As Staff Research Engineer Lightning AI, I focus on the intersection of AI research, software development, and large language models (LLMs). | |
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tomaugspurger.net
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| | | | | This is part 7 in my series on writing modern idiomatic pandas. Modern Pandas Method Chaining Indexes Fast Pandas Tidy Data Visualization Time Series Scaling Timeseries Pandas started out in the financial world, so naturally it has strong timeseries support. The first half of this post will look at pandas' capabilities for manipulating time series data. The second half will discuss modelling time series data with statsmodels. %matplotlib inline import os import numpy as np import pandas as pd import pandas_datareader.data as web import seaborn as sns import matplotlib.pyplot as plt sns.set(style='ticks', context='talk') if int(os.environ.get("MODERN_PANDAS_EPUB", 0)): import prep # noqa Let's grab some stock data for Goldman Sachs using the pandas-datareader package, which spun off of pandas: | |
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magazine.sebastianraschka.com
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| | | I'm an LLM Research Engineer with over a decade of experience in artificial intelligence. My work bridges academia and industry, with roles including senior staff at an AI company and a statistics professor. My expertise lies in LLM research and the development of high-performance AI systems, with a deep focus on practical, code-driven implementations. | ||
