Cartopy Tutorial

exercises/landsat exercise. ; Operating system: Windows 7 or newer, 64-bit macOS 10. Let’s get started!. 4, numpy and shapely libraries and has a simple and intuitive drawing interface to matplotlib for creating publication quality maps. PDF | We introduce geoplotlib, an open-source python toolbox for visualizing geographical data. W h at is Kartograph?. Next are kernel density estimators - how they are a generalisation and improvement over histograms. 0: A configuration metapackage for enabling Anaconda-bundled jupyter extensions / BSD. bird_name) # To move forward, we need to specify a # specific projection that we're interested # in using. I have plotted a map of the world using matplotlib Cartopy. If you navigate (via file explorer) to the C drive, then to Users, then to franc, there should be a. As development on the Python basemap packages continues to slow, the time came for me to get familiar with what looks to be its replacement, the cartopy package. Cmap software is a result of research conducted at the Florida Institute for Human & Machine Cognition (IHMC). It can be used in a classes of students, a corporate data science group or scientific research group. Seismology in Python: obspy for (and by) beginners This is an intro to some basic tasks in seismology, performed in the python package obspy. Mapping Geo Data¶ Bokeh has started adding support for working with Geographical data. Portable or not, the choice is yours! WinPython is a portable application, so the user should not expect any integration into Windows explorer during installation. Matplotlib is a welcoming, inclusive project, and we follow the Python Software Foundation Code of Conduct in everything we do. MITgcm ECCOv4 Example¶. Just in several mouse clicks, after installing the PostgreSQL for your operating system and the PostGIS extension, you will be able to create databases and load geospatial datasets into it for managing later on. Pandas offers a few options for extending pandas. PlateCarree()) sets up a GeoAxes instance which exposes a variety of other map related methods, in the case of the previous example, we used the coastlines() method to add coastlines to the map. It was created with the needs of designers and data journalists in mind. , PostGIS) Web maps (Leaflet, D3, etc. 7 $ conda activate xesmf_env # install common dependencies for fully functionality $ conda install -c conda-forge esmpy xarray scipy dask netCDF4 # optional dependencies for executing all notebook examples $ conda install -c conda-forge matplotlib cartopy jupyterlab. PhD student, researcher, WRF enthusiast, etc. This is the place to post completed Scripts/Snippets that you can ask for people to help optimize your code or just share what you have made (large or small). ; Operating system: Windows 7 or newer, 64-bit macOS 10. Py-ART is used by the. If you are playing with coordinate transforms, then it is likely that at some point you are going to want plot stuff on a map. e without all of the plotting, etc. Uses include: data cleaning and transformation, numerical simulation, statistical modeling, data visualization, machine learning, and much more. csv") bird_names = pd. cartopy is the Python map plotting package that is developed out of the UK Met office. Tutorial on Matplotlib and Basemap. For the most part, you don't need to use a lot of Python packages to read and plot GEOS-Chem data. Boxplots are a measure of how well distributed the data in a data set is. Over the next few releases we intend to extend the number and breadth of these examples, and are considering adding tutorials in the form of iPython notebooks (similar to those found over at nbviewer. In this tutorial, you will learn how iterator works and how you can build your own iterator using __iter__ and __next__ methods. The Python ARM Radar Toolkit, Py-ART, is a Python module containing a collection of weather radar algorithms and utilities. Object Oriented Programming is popular and available in other programming languages besides Python which are Java, C++, PHP. axes(projection=ccrs. Try JupyterLab JupyterLab is the new interface for Jupyter notebooks and is ready for general use. It is useful in the middle of a script, to recover the resources held by accessing the dataset, remove file locks, etc. This is the web site, wiki and issue tracking database for the OSGeo4W project. OSGeo4W is a binary distribution of a broad set of open source geospatial software for Windows environments (Windows 10 down to XP). datetime objects nc-time-axis v1. import cartopy. It divides the data set into three quartiles. as that has nothing to do with "outside boundaries". Scroll through the Python Package Index and you'll find libraries for practically every data visualization need—from GazeParser for eye movement research to pastalog for realtime visualizations of neural network training. The old basemap version of the tutorial still exists as its own branch if you need to look at it again; however, the basemap version may be removed in the future. The EarthML Tutorial offers a general-purpose overview of the concepts and tools involved, and the Topics section shows examples of how these tools may be used to perform machine learning and related tasks in the Earth sciences, such as:. If you need help with Qiita, please send a support request from here. 0_GISS) and matplotlib/basemap. Based on this notebook, which highlights some basics on reading in RTOFS/netCDF output into Python, manipulating that data, and plotting it. About Cython. These interfaces allow the user to define the data programmatically, and if the data does not exist on disk, it will be retrieved from the appropriate source (normally by downloading the data from the internet). The only requirement that cartopy has for plotting spatial (vector) data is that it’s loaded into a Shapely geometry class (e. geopy makes it easy for Python developers to locate the coordinates of addresses, cities, countries, and landmarks across the globe using third-party geocoders and other data sources. This week we talk about making basic maps with Cartopy. The trick is to save the shapefile as a GeoJSON and plot it with folium's. JupyterHub is the best way to serve Jupyter notebook for multiple users. ty21ky's profile. Tracking bird migration using Python-3 One fascinating area of research uses GPS to track movements of animals. Tutorial ¶ The goal of this We will use cartopy for this. The Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text. Kartograph is a simple and lightweight framework for building interactive map applications without Google Maps or any other mapping service. Knowing something live out there is always amazing, it just like having sixth sense to know something which is not directly in front of our eyes, like a position of an aircraft in the sky, but we truly believe it is somewhere over there. If you are about to ask a "how do I do this in python" question, please try r/learnpython, the Python discord, or the #python IRC channel on FreeNode. Cartopy needs a projection for plotting. Before becoming a programmer, Veronica was a researcher with an eye for process improvement (she helped pick the Mars Curiosity Rover’s landing site!). Tutorial ¶ The goal of this We will use cartopy for this. Core Python packages for Earth Science data. Start up MagIC GUI. I think this is possible but not. You can probably find supplementary information in the debian-release archives or in the corresponding release. Each geolocation service you might use, such as Google Maps, Bing Maps, or Nominatim, has its own class in geopy. feature as cfeature import matplotlib. If you need maps, cartopy library can generate one easily. Pandas offers a few options for extending pandas. 7 sometime in 2019. It is now possible to manufacture a small GPS device that is solar charged, so you don't need to change batteries and use it to track flight patterns of birds. None of these examples make use of xarray’s builtin plotting functions, since additional work is most likely needed to extend xarray in order to work correctly. You might want also to look at the PostGIS that comes as an extension with PostgreSQL RDBMS It makes using SQL with Cartography a cinch. News about the dynamic, interpreted, interactive, object-oriented, extensible programming language Python. Tutorial on Matplotlib and Basemap. Hey all, I have a general workflow which causes a memory leak. It makes writing C extensions for Python as easy as Python itself. An older version number indicates updates have not been necessary since then. 7 sometime in 2019. exercises/landsat exercise. It is similar in functionality to the matlab mapping toolbox, the IDL mapping facilities, GrADS, or the Generic Mapping Tools. added a new tutorial page on map styling w/. bird_name) # To move forward, we need to specify a # specific projection that we're interested # in using. ObsPy was partially funded by the. x and MS Visual Studio. We defined pi as global variable and assigned value as 3. However I really missed one nice feature that Basemap have - easy way to add background image to the map. Get notifications on updates for this project. GeoPandas extends the datatypes used by pandas to allow spatial operations on geometric types. Building Blocks. Langkah-langkanya sama seperti menginstal software Windows pada umumnya, next-next-finish. It is designed to be run on Pangeo Binder from the pangeo_ecco_examples github repository. News about the dynamic, interpreted, interactive, object-oriented, extensible programming language Python. gets one color). Pandas offers a few options for extending pandas. This is your input. Today, we’ll combine different cool stuff: cartopy, Google Maps tiles, SRTM elevation data and shaded relief maps ! We will need cartopy (+ dependencies), which you can install from source, or from C. ; Operating system: Windows 7 or newer, 64-bit macOS 10. Hi, I would say that S2 is a kind of a geohash with different properties. Get notifications on updates for this project. Skip navigation Jupyter Notebook Tutorial: Introduction, Setup, and Walkthrough. vincent) free (vs. Close a raster dataset¶. Interactive Maps in Python by Earth Lab. The OceanParcels project develops Parcels (Probably A Really Computationally Efficient Lagrangian Simulator), a set of Python classes and methods to create customisable particle tracking simulations using output from Ocean Circulation models. It is a step by step guide which was designed for people who have no programming experience. The tutorial below was written specifically for the older magic _gui2. Now I want to select a specific country in the map in this case the United States and change the color. 0_GISS) and matplotlib/basemap. I like the simplicity of this package and I used it to help the class learn how to code in notebooks. Each geolocation service you might use, such as Google Maps, Bing Maps, or Nominatim, has its own class in geopy. Python Data Science Handbook, Chapter 4. I am trying to install cartopy on OSGeo4W. Getting started with Google Maps in Python by Elliott Saslow. When applying, in order to prevent spam, please provide a very brief description of why you want to join the group (e. Cartopy needs a projection for plotting. Okay, let’s say you have a large set of IP addresses. Point — these were covered in the GeoHackWeek Vector tutorial, so we won’t go into detail here). 4, and Shapely, and stands on top of Matplotlib. GeoPandas is an open source project to make working with geospatial data in python easier. Re: Masking only on shapefile geometry in cartopy How do you determine boundaries? I would suggest that you post some stripped down code, i. ; Operating system: Windows 7 or newer, 64-bit macOS 10. Get notifications on updates for this project. For example, the GCPy package mostly relies on the following packages, which can be downloaded with either PyPI and/or Conda. Changes have also been made to show a more memory efficient way of using ESMPy. However I really missed one nice feature that Basemap have - easy way to add background image to the map. Extending pandas¶. For additional examples, Filipe Fernandes has a great example of similar operations on his blog. Now you need to plot GPS points or assign a geographical location to each of them. The tutorial below was written specifically for the older magic _gui2. a country) is one data point (e. Teaching related Posts. Cartopy provides an interface for access to frequently used data such as the GSHHS dataset and from the NaturalEarthData website. , PostGIS) Web maps (Leaflet, D3, etc. Geocoders each define at least a geocode method, for resolving a location from a string, and may define a reverse method, which resolves a pair of coordinates to an a. A python package for the analysis and visualisation of Meteorological data >>> from cartopy. An older version number indicates. If you are about to ask a "how do I do this in python" question, please try r/learnpython, the Python discord, or the #python IRC channel on FreeNode. bird_name) # To move forward, we need to specify a # specific projection that we're interested # in using. There are now newer maintenance releases of Python 3. For help, join the gitter channel and the matplotlib-users, matplotlib-devel, and matplotlib-announce mailing lists, or check out the Matplotlib tag on stackoverflow. Make working with geographic data like working with other kinds of data in python; Work with existing tools Desktop GIS (ArcGIS, QGIS) Geospatial databases (e. This collection of tutorials (under development) demonstrates the use of MetPy to perform common meteorological tasks. crs as ccrs # fine tune the extent ax. These are essential building blocks in Python. In our tutorial, we instruct on how to install this package manager onto your CentOS 7 server. Boxplots are a measure of how well distributed the data in a data set is. You might want to ensure that your package is ready for it. geopy is a Python 2 and 3 client for several popular geocoding web services. The Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text. THANKS PHIL! 👏👏👏. However, the WinPython Control Panel allows to "register" your distribution to Windows (see screenshot below). About Cython. Anaconda package lists¶. A newer and more elegant package for mapping with Matplotlib. We can fix that by plotting the same data over a folium Map instance. • Manipulate your data in Python, then visualize it in on a Leaflet map via Folium. Cartopy Plot of Scotland. Cartopy — The cartopy tutorial materials from the python VIEPS course from 2015 are now available on my github teaching page under Mapping. Langkah-langkanya sama seperti menginstal software Windows pada umumnya, next-next-finish. Björn Harrtell completed the majority of the project, with partial sponsorship from. While the process of integrating xarray features into MetPy is ongoing, this tutorial demonstrates how xarray can be used within the current version of MetPy. condarc), which may have been created during the installation of Anaconda. Construction and interactive editing of spatial weights matrices & graphs. If you want to build Shapely from source for compatibility with other modules that depend on GEOS (such as cartopy or osgeo. Viewed 687 times 3. For example, the GCPy package mostly relies on the following packages, which can be downloaded with either PyPI and/or Conda. System requirements. GDAL can be built on Win32 platforms using MS VC++ 6. For additional examples, Filipe Fernandes has a great example of similar operations on his blog. Alpha shapes, spatial indices, and spatial-topological relationships. License: Free use and redistribution under the terms of the End User License Agreement. Sidenote, if you are more comfortable writing javascript and/or your data is already in js, check out all the other chloropleth tutorials on flowingdata. Changes have also been made to show a more memory efficient way of using ESMPy. Step 1: Installation¶. PDF | We introduce geoplotlib, an open-source python toolbox for visualizing geographical data. Below, we will go through the steps for creating an “Python Project” for this tutorial. Get notifications on updates for this project. The ESMPy tutorial has been updated and now uses cartopy maps instead of basemap. Hola Jean Carlos, Habría que ver más en detalle tu arquitectura, pero en general es buena práctica aislar cada servicio en una instancia o mejor en un contenedor, de esta forma son independientes y es más fácil escalarlos según las necesidades de cada uno. Scroll through the Python Package Index and you'll find libraries for practically every data visualization need—from GazeParser for eye movement research to pastalog for realtime visualizations of neural network training. This will give you full control over your installed environment and give you a first taste of what you’ll need to know when setting up more advanced configurations in the cloud. Installing cartopy on OSGeo4W. Description. Cartopy provides an interface for access to frequently used data such as the GSHHS dataset and from the NaturalEarthData website. Loading Unsubscribe from Enthought? In this tutorial, join Phileas Elson on our. Plotting ¶ Every region has a plotting function, that draws the outline of all (or selected) regions on a cartopy map. Supplemental materials. # recommend creating a new, clean environment $ conda create -n xesmf_env python = 3. JupyterHub is the best way to serve Jupyter notebook for multiple users. 7 that supersede 3. As I have done before, I put together a Jupyter notebook going through the process working with real data using cartopy. GDAL can be built on Win32 platforms using MS VC++ 6. So if you’re interested in beginner-friendly explanations of Python cartography, web scraping, or using the NASA orbital mechanics server, check back here next week for the first map tutorial! Up next week - A map of everything in the solar system bigger than 10km. None of these examples make use of xarray’s builtin plotting functions, since additional work is most likely needed to extend xarray in order to work correctly. ty21ky's profile. The examples below show how wrf-python can be used to make plots with matplotlib (with basemap and cartopy) and PyNGL. Core spatial data structures, file IO. In the Mapping subdirectory there is a module from VIEPS INP in which I taught students how to make maps using the cartopy package in the jupyter notebook system. Welcome! This guided tutorial will show you how to program a script that displays which direction the micro:bit is pointing. PostGIS is an amazing extension to PostgreSQL which makes it possible to manage geospatial data very efficiently. The OceanParcels project develops Parcels (Probably A Really Computationally Efficient Lagrangian Simulator), a set of Python classes and methods to create customisable particle tracking simulations using output from Ocean Circulation models. This tutorial was generated from an IPython notebook that can be downloaded here. 7 that supersede 3. Cartopy makes use of the powerful PROJ. pyplot as plt birddata = pd. Contents 1 Intro/Note on Notation 2 Input/Output 3 Sample Selection 4 Data Info and Summary Statistics 5 Variable Manipulation 6 Panel Data 7 Merging and Joining 8 Reshape 9 Econometrics 10 Plotting 11 Other differences td { padding: 7px; } tr:nth-child(even){background-color: #eeeeee;} Special thanks to John Coglianese for feedback and for supplying the list of "vital" Stata commands. Supplemental materials. This blog goes over the Matplotlib and Basemap components of the workshop. 1 Starting with MagIC GUI. Py-ART is used by the. Now you need to plot GPS points or assign a geographical location to each of them. py (see also Cartopy docs) Rasterio exercise. A python package for the analysis and visualisation of Meteorological data >>> from cartopy. We will provide you with printed course notes, cheat sheets, and a USB stick containing solutions to the programming exercises, several written tutorials, reference documentation on Python and the third-party packages covered in the course, and kitchen-sink Python installers for all major platforms. Getting map data from OpenStreetMap Second in a series on scikit-learn and GeoPandas Posted by Michelle Fullwood on April 27, 2015. The best text and video tutorials to provide simple and easy learning of various technical and non-technical subjects with suitable examples and code snippets. Iterators are objects that can be iterated upon. The Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text. Py-ART is used by the. 4, NumPy and Shapely libraries and includes a programmatic interface built on top of Matplotlib for the creation of publication quality maps. geoplotlib supports the development of hardware-accelerated interactive visualizations in pure. 0_GISS) and matplotlib/basemap. Python is a high-level programming language, simple to learn, object oriented, modular and emphasizes readability. Installing cartopy on OSGeo4W. geopy is a Python 2 and 3 client for several popular geocoding web services. ly) relatively painless to use (compared to say, matplotlib). It is built on top of the lower-level CartoPy, covered in a separate section of this tutorial, and is designed to work with GeoPandas input. THANKS PHIL! 👏👏👏. Enable S3 access from EC2 by IAM role. See the course tutorial for more information. In this nice example notebook from Filipe Fernandes the EPSG code from the projection information given in the GeoTIFF file is used to create a projection via cartopy. A python package for the analysis and visualisation of Meteorological data >>> from cartopy. We will provide you with printed course notes, cheat sheets, and a USB stick containing solutions to the programming exercises, several written tutorials, reference documentation on Python and the third-party packages covered in the course, and kitchen-sink Python installers for all major platforms. If you need help with Qiita, please send a support request from here. Cartopy needs a projection for plotting. Getting started with Google Maps in Python by Elliott Saslow. Advanced tutorials. So if you’re interested in beginner-friendly explanations of Python cartography, web scraping, or using the NASA orbital mechanics server, check back here next week for the first map tutorial! Up next week - A map of everything in the solar system bigger than 10km. You might want to ensure that your package is ready for it. MITgcm ECCOv4 Example¶. Geocoders each define at least a geocode method, for resolving a location from a string, and may define a reverse method, which resolves a pair of coordinates to an a. ; Operating system: Windows 7 or newer, 64-bit macOS 10. pelson/cartopy-tutorial. MONET plans to drop support for python 2. Files have been downloaded 992,096 times. Seismology in Python: obspy for (and by) beginners This is an intro to some basic tasks in seismology, performed in the python package obspy. This will produce a dict containing the coordinate reference system, longitude, latitude, and description of each plaque record. It was created with the needs of designers and data journalists in mind. Then we'll show what you can do with it at this level: customize it, compose it with other things, etc. The ESMPy tutorial has been updated and now uses cartopy maps instead of basemap. The best feature so far is that cartopy fixes one of the most annoying bugs in basemap, the handling of datelines. It is a step by step guide which was designed for people who have no programming experience. This tutorial was generated from an IPython notebook that can be downloaded here. HoloViz tools are designed for general-purpose use, but also support some domain-specific datatypes like graphs from NetworkX and geographic data from GeoPandas and Cartopy and Iris. • Manipulate your data in Python, then visualize it in on a Leaflet map via Folium. Printer-friendly PDF version. examples/rasterio_cartopy. For example, the GCPy package mostly relies on the following packages, which can be downloaded with either PyPI and/or Conda. • Other libraries are: Basemap, Cartopy, Iris • Folium builds on the data wrangling strengths of the Python ecosystem and the mapping strengths of the Leaflet. datetime objects nc-time-axis v1. When applying, in order to prevent spam, please provide a very brief description of why you want to join the group (e. The tutorial below was written specifically for the older magic _gui2. Multiprocessing is implemented in the tropical cyclones. Matplotlib 2. Obspy has extensive documentation , tutorials and even a sandbox to play in , but if you are completely new to obspy, you may find the following useful. Batch installation script for installing fun Python libraries for compciv2017 class (on top of Anaconda/Python 3. Close a raster dataset¶. vincent) free (vs. You might want to ensure that your package is ready for it. Core Python packages for Earth Science data. python-climate-data-processing: A collection of jupyter notebook tutorials (in python 3. % matplotlib inline import matplotlib. Cython is an optimising static compiler for both the Python programming language and the extended Cython programming language (based on Pyrex). Get the SourceForge newsletter. The source distribution includes NMAKE compatible makefiles for use from the command shell. An older version number indicates updates have not been necessary since then. Alpha shapes, spatial indices, and spatial-topological relationships. Hola Jean Carlos, Habría que ver más en detalle tu arquitectura, pero en general es buena práctica aislar cada servicio en una instancia o mejor en un contenedor, de esta forma son independientes y es más fácil escalarlos según las necesidades de cada uno. geocoders abstracting the service's API. However I really missed one nice feature that Basemap have - easy way to add background image to the map. When dealing with a big amount of data, you might. xarray with MetPy Tutorial¶. Search Type. It is similar in functionality to the matlab mapping toolbox, the IDL mapping facilities, GrADS, or the Generic Mapping Tools. What is Identity and Access Management (IAM) # disable a warning from matplotlib + cartopy. Polygon or shapely. The EarthML Tutorial offers a general-purpose overview of the concepts and tools involved, and the Topics section shows examples of how these tools may be used to perform machine learning and related tasks in the Earth sciences, such as:. Panel can be used with yt for volumetric and physics data and SymPy or LaTeX for visualizing equations. Close a raster dataset¶. the iris cube). This is a site all about Java, including Java Core, Java Tutorials, Java Frameworks, Eclipse RCP, Eclipse JDT, and Java Design Patterns. Projects using Sphinx¶ This is an (incomplete) alphabetic list of projects that use Sphinx or are experimenting with using it for their documentation. Polygon or shapely. 4, NumPy and Shapely libraries and includes a programmatic interface built on top of Matplotlib for the creation of publication quality maps. The only requirement that cartopy has for plotting spatial (vector) data is that it’s loaded into a Shapely geometry class (e. All packages available in the latest release of Anaconda are listed on the pages linked below. National Parks. Kartograph is a simple and lightweight framework for building interactive map applications without Google Maps or any other mapping service. Introduction¶. Advanced tutorials. For the first article in this. Over the next few releases we intend to extend the number and breadth of these examples, and are considering adding tutorials in the form of iPython notebooks (similar to those found over at nbviewer. “The Free Software Foundation (FSF) is a nonprofit with a worldwide mission to promote computer user freedom. JupyterHub¶. It can be used in a classes of students, a corporate data science group or scientific research group. Cartopy Plot of Scotland. axes(projection=ccrs. 0 is the newest major release of the Python language, and it contains many new features and optimizations. The best text and video tutorials to provide simple and easy learning of various technical and non-technical subjects with suitable examples and code snippets. Portable or not, the choice is yours! WinPython is a portable application, so the user should not expect any integration into Windows explorer during installation. Hope this. geopy makes it easy for Python developers to locate the coordinates of addresses, cities, countries, and landmarks across the globe using third-party geocoders and other data sources. io helps you find new open source packages, modules and frameworks and keep track of ones you depend upon. examples/rasterio_cartopy. The old basemap version of the tutorial still exists as its own branch if you need to look at it again; however, the basemap version may be removed in the future. This is mostly because there are a number of non-trivial (non-python) packages that need to be installed. Printer-friendly PDF version. NOTE: Version number indicates the update cycle when that theme was last updated. GitHub Gist: instantly share code, notes, and snippets. Eric Jones gave an introductory tutorial on Numpy and matplotlib at SciPy 2012. Next, we're going to create a Pandas DataFrame, drop all records which don't contain a description, and convert the long and lat values from string to floating-point numbers. I have been struggling with generating a shaded relief to underlay my cartopy maps. This isn’t meant to be a Python tutorial (use codecademy for that), but the elements are as such: You use libraries, like the csv library or shapely library, by saying import csv or import shapely; Loops are like for x in y, where y can be a list of lines in a CSV file, or shapes, or numbers, or anything that’s ‘iterable’. The steps and screenshots in this tutorial were done using ArcGIS 10. MONET plans to drop support for python 2. xarray with MetPy Tutorial¶. This will produce a dict containing the coordinate reference system, longitude, latitude, and description of each plaque record. Pip is a tool for installing and managing Python packages. Even though all required. For this example we’ll be using a shapefile of U. pelson/cartopy-tutorial. Classes of colormaps¶. The Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text. We won’t go through this step-by-step in the tutorial, it is more of an example of how you could take things further in your own time. The cartopy is a great tool for creating maps in many ways more advanced than the usual workhorse for map creation in pyhton - the Basemap module. Seismology in Python: obspy for (and by) beginners This is an intro to some basic tasks in seismology, performed in the python package obspy. In this tutorial, you will learn how iterator works and how you can build your own iterator using __iter__ and __next__ methods. Geocoders each define at least a geocode method, for resolving a location from a string, and may define a reverse method, which resolves a pair of coordinates to an a. A higher-level interface to netcdf files and to data structures based on the netcdf data model.