This is a course for GIS analysts, scientists, engineers, surveyors, and other data analysts with prior experience working with spatial data in Python.
This is a course for data scientists, data analysts, engineers, researchers, software developers, and quants.
View Details Book Now Course GuideThis course is an introductory course for people from various backgrounds with an interest in powerfully automating day-to-day tasks involving processing and analyzing data.
View Details Book Now Course GuideThis is a course for data analysts, quants, statisticians, software developers, and other technical staff interested in learning to use Python for analysing and visualising data and performing powerful predictive analytics. Includes a thorough introduction to machine learning for regression and classification.
View Details Book Now Course GuideThis is a course for scientists and engineers interested in using Python for solving computational problems that arise in daily work and automating the processing of different kinds of scientific data.
View Details Book Now Course GuideThis is a course for scientists, engineers, and analysts working with geospatial data sets.
View Details Book Now Course GuideThe widely used Pandas package is powerful but its API is enormous, inconsistent, and clunky and it is known to be quite slow. The tide has turned and we at Python Charmers believe Polars is now superior to Pandas for most tasks involving dataframes because of its better API, better performance, and better options for cross-language interoperability.
You will learn how to go from scientific code in notebooks to rapid prototypes of dashboards and GUI apps. You will also learn best practices for building scaling your dashboard apps in complexity while keeping them maintainable and performant.
The widely used Pandas package is powerful but its API is enormous, inconsistent, and clunky and it is known to be quite slow. The tide has turned and we at Python Charmers believe Polars is now superior to Pandas for most tasks involving dataframes because of its better API, better performance, and better options for cross-language interoperability.
This course is an introductory course for people from various backgrounds with an interest in powerfully automating day-to-day tasks involving processing and analyzing data.
View Details Book Now Course GuideThis is a course for data analysts, quants, statisticians, software developers, and other technical staff interested in learning to use Python for analysing and visualising data and performing powerful predictive analytics. Includes a thorough introduction to machine learning for regression and classification.
View Details Book Now Course GuideThis is a course for scientists and engineers interested in using Python for solving computational problems that arise in daily work and automating the processing of different kinds of scientific data.
View Details Book Now Course GuideThis is a course for scientists, engineers, and analysts working with geospatial data sets.
View Details Book Now Course GuideThis intensive training course will teach you in-depth about principles, modern best practices, and practical tips for developing and managing complex Python codebases in teams. It will help you write code that is robust, correct, elegant, efficient, and easy to maintain.
View Details Book Now Course GuideThis is a course for data scientists, data analysts, engineers, researchers, software developers, and quants.
View Details Book Now Course GuideThis course is an introductory course for people from various backgrounds with an interest in powerfully automating day-to-day tasks involving processing and analyzing data.
View Details Book Now Course GuideThis is a course for data analysts, quants, statisticians, software developers, and other technical staff interested in learning to use Python for analysing and visualising data and performing powerful predictive analytics. Includes a thorough introduction to machine learning for regression and classification.
View Details Book Now Course GuideThis is a course for scientists and engineers interested in using Python for solving computational problems that arise in daily work and automating the processing of different kinds of scientific data.
View Details Book Now Course GuideThis is a course for scientists, engineers, and analysts working with geospatial data sets.
View Details Book Now Course GuideYou will learn how to go from scientific code in notebooks to rapid prototypes of dashboards and GUI apps. You will also learn best practices for building scaling your dashboard apps in complexity while keeping them maintainable and performant.
The widely used Pandas package is powerful but its API is enormous, inconsistent, and clunky and it is known to be quite slow. The tide has turned and we at Python Charmers believe Polars is now superior to Pandas for most tasks involving dataframes because of its better API, better performance, and better options for cross-language interoperability.
This course is an introductory course for people from various backgrounds with an interest in powerfully automating day-to-day tasks involving processing and analyzing data.
View Details Book Now Course GuideThis is a course for data analysts, quants, statisticians, software developers, and other technical staff interested in learning to use Python for analysing and visualising data and performing powerful predictive analytics. Includes a thorough introduction to machine learning for regression and classification.
View Details Book Now Course GuideThis is a course for scientists and engineers interested in using Python for solving computational problems that arise in daily work and automating the processing of different kinds of scientific data.
View Details Book Now Course GuideThis is a course for scientists, engineers, and analysts working with geospatial data sets.
View Details Book Now Course GuideThis is a course for data scientists, data analysts, engineers, researchers, software developers, and quants.
View Details Book Now Course GuideThis intensive training course will teach you in-depth about principles, modern best practices, and practical tips for developing and managing complex Python codebases in teams. It will help you write code that is robust, correct, elegant, efficient, and easy to maintain.
View Details Book Now Course GuideYou will learn how to go from scientific code in notebooks to rapid prototypes of dashboards and GUI apps. You will also learn best practices for building scaling your dashboard apps in complexity while keeping them maintainable and performant.
The widely used Pandas package is powerful but its API is enormous, inconsistent, and clunky and it is known to be quite slow. The tide has turned and we at Python Charmers believe Polars is now superior to Pandas for most tasks involving dataframes because of its better API, better performance, and better options for cross-language interoperability.
This course is an introductory course for people from various backgrounds with an interest in powerfully automating day-to-day tasks involving processing and analyzing data.
View Details Book Now Course GuideThis is a course for data analysts, quants, statisticians, software developers, and other technical staff interested in learning to use Python for analysing and visualising data and performing powerful predictive analytics. Includes a thorough introduction to machine learning for regression and classification.
View Details Book Now Course GuideThis is a course for scientists and engineers interested in using Python for solving computational problems that arise in daily work and automating the processing of different kinds of scientific data.
View Details Book Now Course GuideThis is a course for scientists, engineers, and analysts working with geospatial data sets.
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