The Python programming language is easy to learn and offers powerful features for working with large data sets that can greatly improve engineer and programmer productivity. If you’re used to working with Excel, learn how to get the most out of Python’s higher level data structures to enable super efficient data manipulation and analysis. Whether you’re working with large sets of financial data or scientific data, find out how you can use Python for rapid development to retrieve, convert, process and analyze large data sets. And you don’t even have to give up your Excel spreadsheets. Then, when it comes to processing large sets of data, discover options for faster data handling, including taking it to the cloud.
In this webinar, hear from Dr. Mike Müller, President of Python Academy, and Diane Mueller, Director of Enterprise Product Management at ActiveState, and learn about:
Processing and analyzing large sets of data using NumPy & SciPy
Using Python modules to read and write Excel files
Getting faster results by storing in the cloud
About the Speakers
Dr. Mike Müller is CEO of Python Academy in Leipzig, Germany, specializing in Python teaching and consulting since 2004. An engineer who also works in research projects, he uses numerous scientific Python packages on a daily basis and teaches a course on "Python for Scientists and Engineers". He is a member of the Python Software Foundation (PSF), chairman of the PyCon DE conference 2011, runs a Python User Groups, and generally is passionate about developing the Python community. His training and consulting clients in Europe, US, and Asia include Deutsche Börse, Man Investments, Alcatel-Lucent, Siemens, German Aerospace Center, and more.
Diane Mueller is Director, Enterprise Product Management at ActiveState, where she is responsible for managing dynamic language solutions for the enterprise. She has been designing and implementing products and applications embedded into mission critical financial and accounting systems at Fortune 500 corporations for over 20 years. With her passion for open standards in financial services, she has been actively involved in development efforts of XBRL for the past 11 years, and serves on the XBRL International Steering Committee. She is the host and editor of XBRLSpy.com. Before joining ActiveState, Diane held management and senior development roles at JustSystems, ACL, and Business Objects.
ActiveState Webinars: How to Leverage the Power of Python for Processing Big Data
The Python programming language is easy to learn and offers powerful features for working with large data sets that can greatly improve engineer and programmer productivity. If you’re used to working with Excel, learn how to get the most out of Python’s higher level data structures to enable super efficient data manipulation and analysis. Whether you’re working with large sets of financial data or scientific data, find out how you can use Python for rapid development to retrieve, convert, process and analyze large data sets. And you don’t even have to give up your Excel spreadsheets. Then, when it comes to processing large sets of data, discover options for faster data handling, including taking it to the cloud.
In this webinar, hear from Dr. Mike Müller, President of Python Academy, and Diane Mueller, Director of Enterprise Product Management at ActiveState, and learn about:
About the Speakers
Dr. Mike Müller is CEO of Python Academy in Leipzig, Germany, specializing in Python teaching and consulting since 2004. An engineer who also works in research projects, he uses numerous scientific Python packages on a daily basis and teaches a course on "Python for Scientists and Engineers". He is a member of the Python Software Foundation (PSF), chairman of the PyCon DE conference 2011, runs a Python User Groups, and generally is passionate about developing the Python community. His training and consulting clients in Europe, US, and Asia include Deutsche Börse, Man Investments, Alcatel-Lucent, Siemens, German Aerospace Center, and more.
Diane Mueller is Director, Enterprise Product Management at ActiveState, where she is responsible for managing dynamic language solutions for the enterprise. She has been designing and implementing products and applications embedded into mission critical financial and accounting systems at Fortune 500 corporations for over 20 years. With her passion for open standards in financial services, she has been actively involved in development efforts of XBRL for the past 11 years, and serves on the XBRL International Steering Committee. She is the host and editor of XBRLSpy.com. Before joining ActiveState, Diane held management and senior development roles at JustSystems, ACL, and Business Objects.