We empower people with data literacy, so they can ask more impactful questions and make better sense of the world. This passion powers our work, our company culture, and our presence in the community.
Our History
Anaconda was founded in 2012 by Peter Wang and Travis Oliphant out of the need to bring Python into business data analytics, which was rapidly transforming as a result of emerging technology trends. Additionally, the open-source community lacked an entity that could organize and collectivize it to maximize its impact. Since that time, the Python ecosystem has significantly expanded, with Python being the most popular programming language used today. Alongside this expansion, Anaconda has provided value to students learning Python and data science, individual practitioners, small teams, and enterprise businesses. We aim to meet every user where they are in their data science journey. Anaconda now has over 300 full-time employees based in the United States, Canada, Germany, United Kingdom, Australia, India, and Japan. We are proud to serve over 35 million users worldwide.
Our Vision
A world where people are empowered with data literacy
Open-Source DNA
We are—and always will be—committed to fostering open-source innovation. We champion the vibrant open-source community and continue to steward popular open-source projects that power tomorrow’s innovation. Our teams actively contribute to projects like Dask, Numba, Bokeh, Panel, HoloViz, and more.
Data Science Nerds
We pioneered the use of Python for data science starting back in 2009, and this is still where our passion lies: using the world’s preferred, most intuitive programming language to do the hardest math out there. We like our data science models explainable, repeatable, and free from bias, and we want to help people make them that way.
Enterprise Ready
We create software to enable corporations and other organizations to leverage open-source data science with the right security, scale, and governance mechanisms in place—whether that occurs on premises, in air-gapped environments, or in the cloud. Our Professional Services team helps organizations address their unique challenges when it comes to operationalizing data science in their particular environments.
Empowering the 99%
We provide tools for both established data and computer science practitioners and those who are newer to coding; everyone can benefit from the power of data. In fact, in 2022 Anaconda launched PyScript, a web-based tool for coding in the browser and deploying apps with the click of a button. We also launched Anaconda Learning to help people build foundational skills in Python, data visualization, machine learning, and more. We will continue to broaden our reach and supply people around the world with top-notch data literacy tools.
Our Values
Ability and Humility
Highly competent and capable, while also recognizing that the universe is bigger than us and our view of it
Empathy and Connection
Understanding that everyone has a unique story—meeting each person where they are and honoring that diverse contributions make us better
Innovation and Action
An unrelenting drive to think differently and the tenacity to make it happen
Peter Wang is the CEO and co-founder of Anaconda, Inc. Prior to founding Anaconda (formerly Continuum Analytics), Peter spent 15 years in software design and development across a broad range of areas, including 3D graphics, geophysics, large data simulation and visualization, financial risk modeling, and medical imaging.
As a creator of the PyData community and conferences, he devotes time and energy to growing the Python data science community and advocating for increasing data literacy around the world. Peter holds a BA in Physics from Cornell University.
With more than 25 years years of executive-level financial development experience for a wide range of businesses, Angela Pierce now provides financial stewardship and executive leadership at Anaconda. Angela is no stranger to crafting financial management plans for technology leaders. In her tenure as the CFO for AirStrip Technologies, a med-tech software company backed by Sequoia Capital, she supported the successful scale of the business and raised more than $100 million in equity and debt financing. Previously, as CFO of Trillion Partners, she spearheaded the effort to raise $60 million in debt and private equity for the business. As VP of Finance at Broadwing, Angela led the raising of more than $200 million and managed the company’s M&A activities and investor relations functions.
Angela also previously managed financial services and corporate banking as an executive with The Bank of Tokyo Mitsubishi and Deutsche Bank. She is a CPA and has a Bachelors in Finance and an MBA from The University of Texas at Austin.
Jessica has over a decade of HR experience focusing on all parts of the Human Resources umbrella. Prior to joining Anaconda, Jessica led the HR function for ClearDATA, a Healthcare cloud computing company, where she built the HR framework from ground up while leading recruiting efforts in opening their Austin HQ office. Prior to ClearDATA, Jessica was the HR Director for JMJ Associates, a global company in the oil and gas industry specializing in professional services in safety. She led a team responsible for core HR functions in EMEA, APAC, Europe, and the Americas. In her earlier career she worked for both small and Fortune 50 companies in various HR roles.
Jessica graduated from The Ohio State University with a Bachelor’s degree in Public Relations and Strategic Communication. She also attended The University of Texas and holds her Professional Human Resources Certification (PHR).
Al grew up in the Bronx, New York City and has deep experience in multi-sided marketplaces from his time leading the sales organization at Spiceworks, plus data science experience from his time leading sales at KNIME.
Al has spent the last 20 years learning everything about building sales and CS teams and empowering them to be successful. Al worked at Spiceworks for 10 years, during which he helped build a sales team across US, Europe, and Australia.
Michael is a computational mathematician specializing in optimization, signal processing, and simulation, and a contributor in classroom, research, and commercial settings. He assists clients in the development of advanced Python data science applications using Anaconda Distribution. As a recognized subject matter expert in convex optimization, Michael’s open source modeling tools for optimization have twice been recognized with awards from the International Society for Mathematical Programming.
Prior to joining Anaconda, Michael served as a consulting assistant professor in the Information Systems Laboratory, a research associate in the Department of Energy Resources Engineering at Stanford University, and a staff scientist in the Department of Applied and Computational Mathematics at the California Institute of Technology.
Michael received a PhD and MS in Electrical Engineering from Stanford University, and a BS in Electrical and Computer Engineering from The University of Texas at Austin.
With more than 20 years in the technology industry, Stephen now serves as the SVP of Product at Anaconda. Stephen and the team are focused on shepherding the open-source community shaping the future of AI, machine learning, and data science while building solutions to allow organizations to collaborate, govern and deploy their Python and R data science in enterprise data centers and cloud.
Prior to joining Anaconda, Stephen Nolan held several leadership roles at Rackspace for over 12 years. Most recently he served as General Manager of Rackspace Data Services, a portfolio of database and data analytics services that enabled customers to scale fast while focusing on their core business rather than the operations of their data layer. As General Manager, he led ObjectRocket, A Rackspace Company, providing an enterprise-grade Database as a Service platform delivering the best in class open-source database technologies. Under his leadership tenure at ObjectRocket, the company experienced significant growth and scale while expanding its service offerings and adding the industry’s most widely-used public cloud options to its platform.
Prior to his leadership in Rackspace Data Services and ObjectRocket, Nolan served as Director of Product and Operations at Rackspace in San Francisco and San Antonio. Before joining Rackspace Stephen focused on enabling and delivering Enterprise Storage services on the EMC product line at Dell Inc.
With over 20 years in the technology industry leading marketing and go-to-market teams, Shahz serves as the SVP of Marketing & Strategy at Anaconda. Shahz is focused on engaging customers and the open-source community, sharing the value Anaconda provides as they innovate, collaborate, and deploy their Python and R data science projects in data centers and the cloud.
Shahz joined Anaconda after a four-year stint at Amazon Web Services (AWS) where he led the global go-to-market with ISVs, data providers, and consulting partners for the AWS Marketplace business that saw exponential growth. Prior to AWS, Shahz was Vice President Marketing for the Hybrid Cloud unit at IBM, responsible for cloud transformation of the company’s application development technology stack. Before joining IBM, Shahz spent 15 years at Microsoft in leadership roles in finance, business development, and marketing. He oversaw several key initiatives to transition customers and partners to cloud during the early days of cloud services at the company.
Shahz has a Master of Business Administration degree in Finance & Marketing from Iowa State University and a Bachelor of Science degree in Mechanical Engineering from The NED University in Karachi, Pakistan. An avid skier, he enjoys challenging difficult problems to drive and sustain business growth.
Rob Futrick is VP of Platform Engineering at Anaconda, where he is responsible for overseeing the development and delivery of Anaconda’s cutting-edge data science platform technologies. With over 25 years of software engineering and product development experience, Rob has a proven track record of building and scaling complex software systems for some of the world’s leading companies.
Prior to joining Anaconda, Rob owned product for Microsoft Azure’s HPC + AI Software platform. He led teams responsible for building and delivering key services, including Azure Batch, Azure CycleCloud, and HPC Pack. Before that, Rob was co-founder and CTO of Cycle Computing, where he drove the company’s technology and product vision with particular focus on enabling highly scalable cloud and hybrid HPC solutions. Cycle was acquired by Microsoft in 2017.
Rob’s software engineering and cloud computing expertise continues to be instrumental in building and delivering industry-leading data science, machine learning, and artificial intelligence solutions. His passion for innovation and continuous improvement bolsters Anaconda’s leadership role in the rapidly evolving enterprise Python space.
Outside of work, Rob enjoys spending time with his family and using large language models to help draft bios for corporate websites.
Chandler is VP, AI/ML & Enterprise Python Repositories at Anaconda. Chandler’s role includes developing and executing Anaconda’s technology and product strategy and managing and maintaining Anaconda’s roadmaps.
Prior to joining Anaconda, Chandler served in multiple leadership roles, both in product management and engineering. He comes to Anaconda from Nutanix, where he ran engineering for the Data Engineering, Availability, and Recovery business. Prior to his time at Nutanix, Chandler led product and engineering for a tech-enabled services and SaaS startup focused on IoT and predictive analytics solutions for water utilities. He has also led product and technology groups for Codero Hosting, SunGard Availability Services, Rackspace Managed Hosting, and Rackspace Cloud.
With over 20 years of experience in security, managed services, cloud computing, SaaS, and data science, Chandler has nurtured several managed, cloud, and SaaS-based businesses. In addition, he helped launch and grow Rackspace Cloud from its inception, and was a seminal leader in the eventual formation of OpenStack, the world’s first free and open-source cloud computing platform. Chandler is currently named as inventor on several patents for distributed block storage and distributed computing, hybrid and multi-networking cloud architectures, and cloud automation.
Chandler holds a bachelor’s degree from the University of Texas, Austin, an MBA from Rice University, and a MS in Data Science from SMU. He is a proud native Texan, and lives in Austin with his wife and two strong-willed puppies. When Chandler is not in front of a computer, you can find him reading, hiking, swimming, camping, or biking. At times you may find him doing some of these things with his computer, too.