Why Data Scientists Should Be Excited About Python in Excel
I know what you’re thinking. If you’re an experienced data scientist, your work with Excel may be grudging or fleeting. But in stepping outside the rarified realm of data science and engineering, you will discover a very different reality. People in positions of responsibility have used spreadsheets to make critical decisions for several decades now. […]
Python for Excel Analysts: Filtering Tables
This is the third in a series of blog posts that explains how to work with tables of data using Python code. The subject of this post is one of the most common operations performed when analyzing data: filtering tables. The most impactful analyses are born from the best data. Filtering your data using the […]
Create Your First Machine Learning Experiment with Python in Excel
The new Python in Excel integration by Microsoft and Anaconda grants access to the entire Python ecosystem for data science and machine learning. Thanks to its direct connection to Anaconda Distribution, we can leverage built-in functionality with packages like NumPy, pandas, Seaborn, and scikit-learn directly within our Excel workbooks. This post will explain a simple use case for creating […]
5 Quick Tips for Using Python in Excel
In this post, I share some useful tips, tricks, and lessons I’ve learned since diving into the new Python in Excel integration. You can follow along with these tips by opening an Excel workbook and trying to replicate the code and described behaviors (when applicable). Note: To reproduce the tips in this post, install the […]
From Notebook to Workbook: Power Up Your Data Science Skills with Python in Excel
The most common way to create effective data reports with Excel and Python normally requires loading the data into a Jupyter notebook (e.g. using pandas) and converting the notebook itself into a report to share with stakeholders. But what if we didn’t need to work in external Jupyter notebooks anymore, and instead could work with Python […]
Python for Excel Analysts: The Basics
As a Microsoft Excel analyst, you know that data tables are the raw materials of any analysis. It doesn’t matter if the raw materials are tabular worksheet data, Excel tables, or PivotTables. Everything in analytics starts with a table. Similarly, your Python journey starts with data tables. This is the first of a series of […]
Introducing “Current News in Generative AI”
Anaconda is delighted to announce the efforts of David Mertz, Ph.D. and collaborators to follow and document the rapidly evolving landscape of generative artificial intelligence (AI). Things are changing quickly across numerous domains: technical, legislative, emergent capabilities and uses for AIs, in societal consensus and sentiments about the rights of creators, and often simply in […]
Anaconda’s Business, Enterprise Plans Offer Expanded Suite of Security Tools
While bad actors lie in wait to carry out cybersecurity attacks, securing your software supply chain must become a top priority. Many organizations continue to suffer from security gaps that can be exploited. At Anaconda, we are dedicated to closing these gaps and ensuring your open-source software (OSS) pipeline is both accessible and safe for […]
MapnStreets Panel Web App
Have you ever walked down a street and thought, “huh…another street named ‘Main?’ How creative…I wonder how many more ‘Main Streets’ there are across the US? 🤔” If, like me, you have, wonder no longer! MapnStreets allows you to explore the prevalence and locations of street names in the United States. Try it on HuggingFace, […]
Securing Your AI Supply Chain webinar Transcript
Access the recording of this webinar here. Host: We are so excited to welcome Frank Yang to today’s webinar. Frank is Anaconda’s Principal Solutions Architect. With a wealth of experience designing and implementing solutions for some of the world’s largest financial institutions, Frank helps organizations leverage open-source software to execute high-value initiatives without compromising on security and […]