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PRODID:-//PESA - Energy Geoscience - ECPv6.16.2//NONSGML v1.0//EN
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METHOD:PUBLISH
X-WR-CALNAME:PESA - Energy Geoscience
X-ORIGINAL-URL:https://pesa.com.au
X-WR-CALDESC:Events for PESA - Energy Geoscience
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BEGIN:VTIMEZONE
TZID:Australia/Brisbane
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TZOFFSETTO:+1000
TZNAME:AEST
DTSTART:20220101T000000
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BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20230905T120000
DTEND;TZID=Australia/Brisbane:20230905T150000
DTSTAMP:20260605T123751
CREATED:20230703T103944Z
LAST-MODIFIED:20230807T023716Z
UID:10008535-1693915200-1693926000@pesa.com.au
SUMMARY:PESA QLD: Online Course - Introduction to Python for Geoscience - 2023 - SOLD OUT
DESCRIPTION:Introduction to Python for Geoscience 2023\nPLEASE NOTE THAT THIS EVENT IS NOW SOLD OUT. IF YOU WOULD LIKE TO JOIN THE WAITLIST FOR FUTURE COURSES\, OR IN THE EVENT OF A WITHDRAWAL FROM THIS COURSE\, PLEASE SELECT A ‘WAITLIST’ TICKET BELOW. \nCourse Synopsis\nTake your geoscience data analysis to the next level with SIH’s Python for Geoscience course. Leverage the modelling and workflow capabilities of Python to wrangle terabytes of geoscience data. We will introduce Python foundations integrating geospatial and temporal raster and vector data. We will carry out exploratory\, machine and deep learning analyses on these datasets\, and demonstrate workflows to go from your local computer to high performance\, cloud\, and GPU computing. At the end of the course\, participants will be able to adapt workflows and apply these to their own datasets and generate reports. \nCourse Pre-requisites\nNo previous programming experience is required\, but Session 1 is a pre-requisite for the other sessions. Training will be delivered online\, so you will need access to a modern computer with a stable internet connection. Participants are encouraged to setup a Python environment on their local computer (instructions to be provided)\, but participation using Google Colab will also be supported (Google account required). \n  \n\n\n\nPresentation:\nIntroduction to Python for Geoscience 2023\n\n\nVenue:\nParticipants will be provided with a Zoom\nlink. Trainers will be broadcasting from\nSydney.\n\n\nDate & Time:\nSession 1 Python fundamentals\nTues Aug 15\, 12:00-3:00pm (AEST)\nSession 2 Specialist python libraries and data analysis for geoscience\nTues Aug 22\, 12:00-3:00pm (AEST)\nSession 3 Pattern recognition in geoscience\nTues Aug 29\, 12:00-3:00pm (AEST)\nSession 4 Large data and long running workflow strategies\nTues Sep 5\, 12:00-3:00pm (AEST)\n\n\n\n  \nIntroduction to Python for Geoscience\nSession 1 Python fundamentals\nRunning code\nSyntax\, comments\, and variables\nLists and indexing\nLoops\, operators\, conditions\nControl statements\nFunctions\nReading and exploring data from external csv/text files\nBasic NumPy arrays and Pandas dataframes\nBasic plotting with Matplotlib \nSession 2 Specialist python libraries and data analysis for geoscience\nWorking with shapefiles and well-log data\nIntermediate Pandas and NumPy array data manipulation\nWorking with NetCDF and GeoTIFF raster data using SciPy\nGeospatial plotting with Cartopy \nSession 3 Pattern recognition in geoscience\nRaster file image recognition\nMachine learning approaches with Scikit-learn\nDeep learning with Keras/Tensorflow and GPUs\nTime series forecasting/prediction \nSession 4 Large data and long running workflow strategies\nLarge-scale data multi-processing\nDebugging and profiling code\nDask and GeoPandas for dealing with large data\nArcGIS/QGIS data exporting to Python and back. \nThroughout the four sessions you will gain experience with best practices for structuring code and testing modular functions and workflows. You will learn about the libraries\, data structures\, and functions available within Python. We will explore commonly used approaches to solve geoscience problems with deep learning and parallel computing. Bonus tools and skills that you will be exposed to throughout the course include: GitHub and version control\, Jupyter Notebooks\, troubleshooting and errors\, Python library management\, and Google Colab/text editors & Docker containers. \n\n\n\n\nCost for the complete course of four sessions:\n\n\n\n\n\nPESA Members – $650\nNon-Members – $800\nStudent / Retired Members – $650\n\n\n\n\n\n  \n\n  \n\n\n\n\nKeep track of upcoming PESA QLD Events:\n\nClick here to view PESA QLD Events Calendar on the web———————————————————————Click here to subscribe to PESA QLD Events by adding it to your Google Calendar\n\n\n\n 
URL:https://pesa.com.au/events/pesa-qld-online-course-introduction-to-python-for-geoscience-2023/2023-09-05/
LOCATION:Zoom\, Australia
CATEGORIES:Industry,National,Online,Online Course,QLD
ATTACH;FMTTYPE=image/gif:https://pesa.com.au/wp-content/uploads/2023/07/PESA-Python-Course-2023-event-header.gif
ORGANIZER;CN="PESA QLD Branch":MAILTO:qld-treasurer@pesa.com.au
GEO:-25.274398;133.775136
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20230829T120000
DTEND;TZID=Australia/Brisbane:20230829T150000
DTSTAMP:20260605T123751
CREATED:20230703T103944Z
LAST-MODIFIED:20230807T023716Z
UID:10008534-1693310400-1693321200@pesa.com.au
SUMMARY:PESA QLD: Online Course - Introduction to Python for Geoscience - 2023 - SOLD OUT
DESCRIPTION:Introduction to Python for Geoscience 2023\nPLEASE NOTE THAT THIS EVENT IS NOW SOLD OUT. IF YOU WOULD LIKE TO JOIN THE WAITLIST FOR FUTURE COURSES\, OR IN THE EVENT OF A WITHDRAWAL FROM THIS COURSE\, PLEASE SELECT A ‘WAITLIST’ TICKET BELOW. \nCourse Synopsis\nTake your geoscience data analysis to the next level with SIH’s Python for Geoscience course. Leverage the modelling and workflow capabilities of Python to wrangle terabytes of geoscience data. We will introduce Python foundations integrating geospatial and temporal raster and vector data. We will carry out exploratory\, machine and deep learning analyses on these datasets\, and demonstrate workflows to go from your local computer to high performance\, cloud\, and GPU computing. At the end of the course\, participants will be able to adapt workflows and apply these to their own datasets and generate reports. \nCourse Pre-requisites\nNo previous programming experience is required\, but Session 1 is a pre-requisite for the other sessions. Training will be delivered online\, so you will need access to a modern computer with a stable internet connection. Participants are encouraged to setup a Python environment on their local computer (instructions to be provided)\, but participation using Google Colab will also be supported (Google account required). \n  \n\n\n\nPresentation:\nIntroduction to Python for Geoscience 2023\n\n\nVenue:\nParticipants will be provided with a Zoom\nlink. Trainers will be broadcasting from\nSydney.\n\n\nDate & Time:\nSession 1 Python fundamentals\nTues Aug 15\, 12:00-3:00pm (AEST)\nSession 2 Specialist python libraries and data analysis for geoscience\nTues Aug 22\, 12:00-3:00pm (AEST)\nSession 3 Pattern recognition in geoscience\nTues Aug 29\, 12:00-3:00pm (AEST)\nSession 4 Large data and long running workflow strategies\nTues Sep 5\, 12:00-3:00pm (AEST)\n\n\n\n  \nIntroduction to Python for Geoscience\nSession 1 Python fundamentals\nRunning code\nSyntax\, comments\, and variables\nLists and indexing\nLoops\, operators\, conditions\nControl statements\nFunctions\nReading and exploring data from external csv/text files\nBasic NumPy arrays and Pandas dataframes\nBasic plotting with Matplotlib \nSession 2 Specialist python libraries and data analysis for geoscience\nWorking with shapefiles and well-log data\nIntermediate Pandas and NumPy array data manipulation\nWorking with NetCDF and GeoTIFF raster data using SciPy\nGeospatial plotting with Cartopy \nSession 3 Pattern recognition in geoscience\nRaster file image recognition\nMachine learning approaches with Scikit-learn\nDeep learning with Keras/Tensorflow and GPUs\nTime series forecasting/prediction \nSession 4 Large data and long running workflow strategies\nLarge-scale data multi-processing\nDebugging and profiling code\nDask and GeoPandas for dealing with large data\nArcGIS/QGIS data exporting to Python and back. \nThroughout the four sessions you will gain experience with best practices for structuring code and testing modular functions and workflows. You will learn about the libraries\, data structures\, and functions available within Python. We will explore commonly used approaches to solve geoscience problems with deep learning and parallel computing. Bonus tools and skills that you will be exposed to throughout the course include: GitHub and version control\, Jupyter Notebooks\, troubleshooting and errors\, Python library management\, and Google Colab/text editors & Docker containers. \n\n\n\n\nCost for the complete course of four sessions:\n\n\n\n\n\nPESA Members – $650\nNon-Members – $800\nStudent / Retired Members – $650\n\n\n\n\n\n  \n\n  \n\n\n\n\nKeep track of upcoming PESA QLD Events:\n\nClick here to view PESA QLD Events Calendar on the web———————————————————————Click here to subscribe to PESA QLD Events by adding it to your Google Calendar\n\n\n\n 
URL:https://pesa.com.au/events/pesa-qld-online-course-introduction-to-python-for-geoscience-2023/2023-08-29/
LOCATION:Zoom\, Australia
CATEGORIES:Industry,National,Online,Online Course,QLD
ATTACH;FMTTYPE=image/gif:https://pesa.com.au/wp-content/uploads/2023/07/PESA-Python-Course-2023-event-header.gif
ORGANIZER;CN="PESA QLD Branch":MAILTO:qld-treasurer@pesa.com.au
GEO:-25.274398;133.775136
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20230822T120000
DTEND;TZID=Australia/Brisbane:20230822T150000
DTSTAMP:20260605T123751
CREATED:20230703T103944Z
LAST-MODIFIED:20230807T023716Z
UID:10008533-1692705600-1692716400@pesa.com.au
SUMMARY:PESA QLD: Online Course - Introduction to Python for Geoscience - 2023 - SOLD OUT
DESCRIPTION:Introduction to Python for Geoscience 2023\nPLEASE NOTE THAT THIS EVENT IS NOW SOLD OUT. IF YOU WOULD LIKE TO JOIN THE WAITLIST FOR FUTURE COURSES\, OR IN THE EVENT OF A WITHDRAWAL FROM THIS COURSE\, PLEASE SELECT A ‘WAITLIST’ TICKET BELOW. \nCourse Synopsis\nTake your geoscience data analysis to the next level with SIH’s Python for Geoscience course. Leverage the modelling and workflow capabilities of Python to wrangle terabytes of geoscience data. We will introduce Python foundations integrating geospatial and temporal raster and vector data. We will carry out exploratory\, machine and deep learning analyses on these datasets\, and demonstrate workflows to go from your local computer to high performance\, cloud\, and GPU computing. At the end of the course\, participants will be able to adapt workflows and apply these to their own datasets and generate reports. \nCourse Pre-requisites\nNo previous programming experience is required\, but Session 1 is a pre-requisite for the other sessions. Training will be delivered online\, so you will need access to a modern computer with a stable internet connection. Participants are encouraged to setup a Python environment on their local computer (instructions to be provided)\, but participation using Google Colab will also be supported (Google account required). \n  \n\n\n\nPresentation:\nIntroduction to Python for Geoscience 2023\n\n\nVenue:\nParticipants will be provided with a Zoom\nlink. Trainers will be broadcasting from\nSydney.\n\n\nDate & Time:\nSession 1 Python fundamentals\nTues Aug 15\, 12:00-3:00pm (AEST)\nSession 2 Specialist python libraries and data analysis for geoscience\nTues Aug 22\, 12:00-3:00pm (AEST)\nSession 3 Pattern recognition in geoscience\nTues Aug 29\, 12:00-3:00pm (AEST)\nSession 4 Large data and long running workflow strategies\nTues Sep 5\, 12:00-3:00pm (AEST)\n\n\n\n  \nIntroduction to Python for Geoscience\nSession 1 Python fundamentals\nRunning code\nSyntax\, comments\, and variables\nLists and indexing\nLoops\, operators\, conditions\nControl statements\nFunctions\nReading and exploring data from external csv/text files\nBasic NumPy arrays and Pandas dataframes\nBasic plotting with Matplotlib \nSession 2 Specialist python libraries and data analysis for geoscience\nWorking with shapefiles and well-log data\nIntermediate Pandas and NumPy array data manipulation\nWorking with NetCDF and GeoTIFF raster data using SciPy\nGeospatial plotting with Cartopy \nSession 3 Pattern recognition in geoscience\nRaster file image recognition\nMachine learning approaches with Scikit-learn\nDeep learning with Keras/Tensorflow and GPUs\nTime series forecasting/prediction \nSession 4 Large data and long running workflow strategies\nLarge-scale data multi-processing\nDebugging and profiling code\nDask and GeoPandas for dealing with large data\nArcGIS/QGIS data exporting to Python and back. \nThroughout the four sessions you will gain experience with best practices for structuring code and testing modular functions and workflows. You will learn about the libraries\, data structures\, and functions available within Python. We will explore commonly used approaches to solve geoscience problems with deep learning and parallel computing. Bonus tools and skills that you will be exposed to throughout the course include: GitHub and version control\, Jupyter Notebooks\, troubleshooting and errors\, Python library management\, and Google Colab/text editors & Docker containers. \n\n\n\n\nCost for the complete course of four sessions:\n\n\n\n\n\nPESA Members – $650\nNon-Members – $800\nStudent / Retired Members – $650\n\n\n\n\n\n  \n\n  \n\n\n\n\nKeep track of upcoming PESA QLD Events:\n\nClick here to view PESA QLD Events Calendar on the web———————————————————————Click here to subscribe to PESA QLD Events by adding it to your Google Calendar\n\n\n\n 
URL:https://pesa.com.au/events/pesa-qld-online-course-introduction-to-python-for-geoscience-2023/2023-08-22/
LOCATION:Zoom\, Australia
CATEGORIES:Industry,National,Online,Online Course,QLD
ATTACH;FMTTYPE=image/gif:https://pesa.com.au/wp-content/uploads/2023/07/PESA-Python-Course-2023-event-header.gif
ORGANIZER;CN="PESA QLD Branch":MAILTO:qld-treasurer@pesa.com.au
GEO:-25.274398;133.775136
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20230815T120000
DTEND;TZID=Australia/Brisbane:20230815T150000
DTSTAMP:20260605T123751
CREATED:20230703T103944Z
LAST-MODIFIED:20230807T023716Z
UID:10008532-1692100800-1692111600@pesa.com.au
SUMMARY:PESA QLD: Online Course - Introduction to Python for Geoscience - 2023 - SOLD OUT
DESCRIPTION:Introduction to Python for Geoscience 2023\nPLEASE NOTE THAT THIS EVENT IS NOW SOLD OUT. IF YOU WOULD LIKE TO JOIN THE WAITLIST FOR FUTURE COURSES\, OR IN THE EVENT OF A WITHDRAWAL FROM THIS COURSE\, PLEASE SELECT A ‘WAITLIST’ TICKET BELOW. \nCourse Synopsis\nTake your geoscience data analysis to the next level with SIH’s Python for Geoscience course. Leverage the modelling and workflow capabilities of Python to wrangle terabytes of geoscience data. We will introduce Python foundations integrating geospatial and temporal raster and vector data. We will carry out exploratory\, machine and deep learning analyses on these datasets\, and demonstrate workflows to go from your local computer to high performance\, cloud\, and GPU computing. At the end of the course\, participants will be able to adapt workflows and apply these to their own datasets and generate reports. \nCourse Pre-requisites\nNo previous programming experience is required\, but Session 1 is a pre-requisite for the other sessions. Training will be delivered online\, so you will need access to a modern computer with a stable internet connection. Participants are encouraged to setup a Python environment on their local computer (instructions to be provided)\, but participation using Google Colab will also be supported (Google account required). \n  \n\n\n\nPresentation:\nIntroduction to Python for Geoscience 2023\n\n\nVenue:\nParticipants will be provided with a Zoom\nlink. Trainers will be broadcasting from\nSydney.\n\n\nDate & Time:\nSession 1 Python fundamentals\nTues Aug 15\, 12:00-3:00pm (AEST)\nSession 2 Specialist python libraries and data analysis for geoscience\nTues Aug 22\, 12:00-3:00pm (AEST)\nSession 3 Pattern recognition in geoscience\nTues Aug 29\, 12:00-3:00pm (AEST)\nSession 4 Large data and long running workflow strategies\nTues Sep 5\, 12:00-3:00pm (AEST)\n\n\n\n  \nIntroduction to Python for Geoscience\nSession 1 Python fundamentals\nRunning code\nSyntax\, comments\, and variables\nLists and indexing\nLoops\, operators\, conditions\nControl statements\nFunctions\nReading and exploring data from external csv/text files\nBasic NumPy arrays and Pandas dataframes\nBasic plotting with Matplotlib \nSession 2 Specialist python libraries and data analysis for geoscience\nWorking with shapefiles and well-log data\nIntermediate Pandas and NumPy array data manipulation\nWorking with NetCDF and GeoTIFF raster data using SciPy\nGeospatial plotting with Cartopy \nSession 3 Pattern recognition in geoscience\nRaster file image recognition\nMachine learning approaches with Scikit-learn\nDeep learning with Keras/Tensorflow and GPUs\nTime series forecasting/prediction \nSession 4 Large data and long running workflow strategies\nLarge-scale data multi-processing\nDebugging and profiling code\nDask and GeoPandas for dealing with large data\nArcGIS/QGIS data exporting to Python and back. \nThroughout the four sessions you will gain experience with best practices for structuring code and testing modular functions and workflows. You will learn about the libraries\, data structures\, and functions available within Python. We will explore commonly used approaches to solve geoscience problems with deep learning and parallel computing. Bonus tools and skills that you will be exposed to throughout the course include: GitHub and version control\, Jupyter Notebooks\, troubleshooting and errors\, Python library management\, and Google Colab/text editors & Docker containers. \n\n\n\n\nCost for the complete course of four sessions:\n\n\n\n\n\nPESA Members – $650\nNon-Members – $800\nStudent / Retired Members – $650\n\n\n\n\n\n  \n\n  \n\n\n\n\nKeep track of upcoming PESA QLD Events:\n\nClick here to view PESA QLD Events Calendar on the web———————————————————————Click here to subscribe to PESA QLD Events by adding it to your Google Calendar\n\n\n\n 
URL:https://pesa.com.au/events/pesa-qld-online-course-introduction-to-python-for-geoscience-2023/2023-08-15/
LOCATION:Zoom\, Australia
CATEGORIES:Industry,National,Online,Online Course,QLD
ATTACH;FMTTYPE=image/gif:https://pesa.com.au/wp-content/uploads/2023/07/PESA-Python-Course-2023-event-header.gif
ORGANIZER;CN="PESA QLD Branch":MAILTO:qld-treasurer@pesa.com.au
GEO:-25.274398;133.775136
END:VEVENT
END:VCALENDAR