pbpython.com
Taking Another Look at Plotly
9 min read · From 2020 · Plotly continues to evolve as a python visualization library. This article covers some of the recent improvements and why you might want to consider Ploty for your visualization needs. · Shared by 5, including Luis Bravo
KDnuggets
Netflix’s Polynote is a New Open Source Framework to Build Better Data Science Notebooks
4 min read · From 2020 · The new notebook environment provides substantial improvements to streamline experimentation in machine learning workflows. · Shared by 9, including Luis Bravo
theinsaneapp.com
Insane
1 min read · From 2020 · Feed your curiosity with Facts, Stories, and Summaries about AI, ML, Data Science, AR, VR, Space Exploration, Electric Vehicles, IoT, Big Data, etc · Shared by 8, including Dr. Ganapathi Pulipaka 🇺🇸, Luis Bravo
Towards Data Science
Plotly Dash vs Streamlit — Which is the best library for building data dashboard web apps?
~17 min read · From 2020 · A comparison of the two top Python data dashboarding libraries for sharing data science/visualisation projects — including example codes. · Shared by 7, including Luis Bravo
Towards Data Science
Analyzing time series data in Pandas
7 min read · From 2018 · In my previous tutorials, we have considered data preparation and visualization tools such as Numpy, Pandas, Matplotlib and Seaborn. In… · Shared by 5, including Luis Bravo
github.com
GitHub - jakevdp/PythonDataScienceHandbook: Jupyter Notebooks for the Python Data Science Handbook
From 2017 · PythonDataScienceHandbook - Jupyter Notebooks for the Python Data Science Handbook · Shared by 88, including Luca Hammer, Jakub Ferenc, William El Kaim, Arin Basu, René Stalder, José Rodrigues, Luis Bravo, Vlad Arbatov, Data Science Renee, Chintan Shah, Veronika Lampion, Dr. Ganapathi Pulipaka 🇺🇸, Leslie D, Nando 💪🇦🇺🇦🇷, rohit, Mark Pitman, Alexandra Wong
tomaugspurger.github.io
Timeseries
~11 min read · From 2018 · Posts and writings by Tom Augspurger · Shared by 8, including Nico Müller 🇺🇦, Luis Bravo
dataquest.io
Tutorial: Time Series Analysis with Pandas
20+ min read · From 2019 · Time series data is becoming prevalent. In this post, we illustate what time series data is and how you can harness the power of time series data to provide some cool analytics. · Shared by 11, including Nico Müller 🇺🇦, Luis Bravo
jakevdp.github.io
Python Data Science Handbook | Python Data Science Handbook
1 min read · From 2017 · Shared by 162, including Thomas Eichmann, Nando 💪🇦🇺🇦🇷, Vikram Dutt, Jakub Ferenc, Kirk Borne, Merkstatt, Luis Bravo, Jesús Torres 👩💻, Arin Basu, Marcus Borba, Danny Prol, Data Science Renee, Katja Evertz, Fabrizio Bianchi, Nico Müller 🇺🇦, Rezha Julio, Alexander Seifert, Florian Hanke 🍎, rohit, Jacob du Toit
Towards Data Science
How to produce Interactive Matplotlib Plots in Jupyter Environment
6 min read · From 2020 · Create Interactive Plots/maps with All Python libraries that use Matplotlib · Shared by 6, including Luis Bravo
Towards Data Science
5 Best Practices for Data Visualization
~20 min read · From 2020 · Learn how to make effective visualizations to showcase your data · Shared by 7, including Luis Bravo
freeCodeCamp.org
Python Fundamentals for Data Science
6 min read · From 2020 · Essentials of python programming to get started with Data Science. · Shared by 8, including Luis Bravo
analyticsindiamag.com
How Beginners Can Get Real World Job Experience Of Data Science
2 min read · From 2020 · Here are a few ways beginners can get real-world job experience of data science before applying for an actual job. · Shared by 6, including Nige Willson, Luis Bravo
analyticsvidhya.com
10 matplotlib Tricks to Master Data Visualization in Python
7 min read · From 2020 · matplotlib is a widely used Python library for performing data visualization and exploratory data analysis These 10 matplotlib tricks will enable you to become a better analyst and storyteller… · Shared by 11, including Marc G., Luis Bravo, Yves Mulkers, Craig Brown, PhD
analyticsvidhya.com
5 Striking Pandas Tips and Tricks for Analysts and Data Scientists
4 min read · From 2020 · Pandas provide tools and techniques to make data analysis easier in Python We’ll discuss tips and tricks that will help you become a better and efficient analyst Efficiency has become a key ingredient… · Shared by 17, including Craig Brown, PhD, Luis Bravo, Yves Mulkers
