OceanPython.org is a website to learn Python Programming Language for ocean- and marine-science applications and to share Python code. OceanPython.org is kindly supported by MEOPAR.ca iPython-Notebook tutorials here: https://bitbucket.org/Diego_Ibarra/pythontutorials ******* PREVIOUS POSTS ********
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Ocean Python | Python tools for oceanography and marine sciences | oceanpython.org Reviews
https://oceanpython.org
OceanPython.org is a website to learn Python Programming Language for ocean- and marine-science applications and to share Python code. OceanPython.org is kindly supported by MEOPAR.ca iPython-Notebook tutorials here: https://bitbucket.org/Diego_Ibarra/pythontutorials ******* PREVIOUS POSTS ********
oceanpython.org
Recieve email updates | Ocean Python
https://oceanpython.org/recieve-email-updates
Python tools for oceanography and marine sciences. Skip to primary content. To get an email every time we upload a new post:. Go to bottom of page. Enter your email address. Click on button that says: “Follow OceanPython.org”. Blog at WordPress.com. Follow “Ocean Python”. Get every new post delivered to your Inbox. Join 84 other followers. Build a website with WordPress.com.
…for contributors | Ocean Python
https://oceanpython.org/for-contributors
Python tools for oceanography and marine sciences. Skip to primary content. If you want to write posts in this webpage, simply email me (Diego.Ibarra@dal.ca) requesting a username/password. Remember that the main audience are students with no programming experience at all. However, there are some students with programming skills in Matlab and R. Although there are no hard rules… most posts should be arranged as follows:. A brief description of what is the post about. The final product (graph or figure).
T-S Diagram | Ocean Python
https://oceanpython.org/2013/02/17/t-s-diagram
Python tools for oceanography and marine sciences. Skip to primary content. February 17, 2013. Make a temperature-salinity (TS) diagram from a CTD profile. TS diagrams show density isolines as reference and are useful to identify different water masses. This example follows the simple tutorial on how to Plot a CTD profile. 8230; and uses the same CTD profile.csv. This tutorial needs the Python Seawater Package. Or see documentation HERE. Share on Facebook (Opens in new window). Leave a Reply Cancel reply.
OTN Gliders (animated .gif) | Ocean Python
https://oceanpython.org/2013/03/26/otn-gliders-animated-gif
Python tools for oceanography and marine sciences. Skip to primary content. OTN Gliders (animated .gif). March 26, 2013. One more post about the OTN Gliders… Previous OTN glider posts include:. OTN Gliders (basic plotting). OTN Gliders (more advanced plotting). Below we use data from the OTN Ocean Glider Programme. We utilize the SCITOOLS Python Library for Scientific Computing. To create the animated gif. NOTE: Click on the image below to play the animation. CLICK on Image to play the ANIMATION. Build a...
1D quiver plot – Surface currents – LOBO | Ocean Python
https://oceanpython.org/2013/03/26/1d-quiver-plot-surface-currents-lobo
Python tools for oceanography and marine sciences. Skip to primary content. 1D quiver plot – Surface currents – LOBO. March 26, 2013. Here we plot surface currents from the Satlantic LOBO. Ocean observatory moored in the North West Arm (Halifax, Nova Scotia, Canada). We used a 1D quiver plot… often used to represent magnitude and direction of currents at a particular location. Share on Facebook (Opens in new window). Click to share on Twitter (Opens in new window). Click to print (Opens in new window).
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Backing up your work | Dr Climate
https://drclimate.wordpress.com/2013/04/16/backing-up-your-work
Let's talk about how we do research in the weather and climate sciences. What is Dr Climate? Who is Dr Climate? April 16, 2013 / Damien Irving. Backing up your work. I suspect that one reason why people don’t regularly backup their work is that they aren’t aware of how easy it is these days. While everyone’s backup needs will be slightly different, here’s my take on backing up code, data and other general files. I’ve spoken previously. 8211; see my previous post. The reason I can be so obsessive compulsi...
Orientation Guide. | Dr Climate
https://drclimate.wordpress.com/orientation-guide
Let's talk about how we do research in the weather and climate sciences. What is Dr Climate? Who is Dr Climate? By collecting up all the relevant posts from this blog, this page is my attempt at provide one such orientation guide…. Picking the right programming language. Getting started with Python. The weather/climate Python stack. Getting past a programming impasse. Speeding up your code. Plugging into the computational best practice discussion. Chapter 2: Managing your code and data. A dose of humour.
Are you CF compliant? | Dr Climate
https://drclimate.wordpress.com/2014/06/09/are-you-cf-compliant
Let's talk about how we do research in the weather and climate sciences. What is Dr Climate? Who is Dr Climate? June 9, 2014 / Damien Irving. Are you CF compliant? Note that I’ve created an IPython notebook lesson. To accompany this post. Information about your data, otherwise known as metadata (i.e. data about your data), can also be stored in a netCDF file as a series of. Some people might use an attribute called ‘name’, but others might use ‘variable name’, ‘var name̵...This contains an audit trai...
EarthPy - pandas
http://earthpy.org/tag/pandas.html
Flow duration curves from current USGS NWIS data. Published: Mo 31 August 2015. Using Flow Duration Curves to Determine Basin Characteristics and Estimate Flow. This notebook uses the Scientific Python (scipy) stack tools to generate flow duration curves from current USGS NWIS data. Using recipes from this notebook, you can make:. Iterative import and compilation of USGS station information and data. Iterative charts (one monthly summary boxplot per station). Gantt charts of USGS stations. The function a...
IPyhton interact and widgets (or how to write python version of ncview in about 3 lines of code)
http://earthpy.org/pyncview_pm.html
IPyhton interact and widgets (or how to write python version of ncview in about 3 lines of code). Published: Sa 12 April 2014. Work with data interactively. IPython widgets, interact. Now with IPython 2.0 widgets and. Command my dream come true - I can build a GUI for my data visualisation basically with one line of code. Below I will show how to create simple interactive visualization of geophysical variables from netCDF files. It is sort of quick and dirty replacement for great ncview program. Now for ...
EarthPy - netCDF
http://earthpy.org/tag/netcdf.html
Calculations with arrays bigger than your memory (dask arrays). Published: So 07 Juni 2015. Process numpy arrays in parallel. Geophysical models get higher and higher resolutions, producing more and more data. However numpy arrays and pandas data frames only work with data that fit in to a memory. For many of us it means that before real analysis we have to somehow subsample or aggregate initial data with some heavy lifting tools (like cdo. If you dont use conda. Conda install dask pydot networkx. As usu...
EarthPy - Visualization
http://earthpy.org/category/visualization.html
Published: Sa 14 Februar 2015. Make matplotlib plots look nicer. We going to work with climate indeces (AO, NAO, PNA indices):. Wget http:/ www.cpc.ncep.noaa.gov/products/precip/CWlink/daily ao index/monthly.ao.index.b50.current.ascii! Wget http:/ www.cpc.ncep.noaa.gov/products/precip/CWlink/pna/norm.nao.monthly.b5001.current.ascii! Wget http:/ www.cpc.ncep.noaa.gov/products/precip/CWlink/pna/norm.pna.monthly.b5001.current.ascii. Create pandas data frame (. And now we just import. Statistical plots ¶.
How to make your python code run faster
http://earthpy.org/speed.html
How to make your python code run faster. Published: So 15 Februar 2015. Make your python scripts run faster. Multiprocessor, cython, numba. One of the counterarguments that you constantly hear about using python is that it is slow. This is somehow true for many cases, while most of the tools that scientist mainly use, like. Have big chunks written in. Lets first download some data to work with (NCEP reanalysis air temperature):. For vvv in variabs:. For i in range(2000,2010):. It works slow enough:.
About EarthPy
http://earthpy.org/first-post.html
Published: Di 28 März 2023. EarthPy is a collection of IPython notebooks. With examples of Earth Science related Python code. It can be tutorials, descriptions of the modules, small scripts, or just tricks, that you think might be useful for others. Contributions are very welcome. To add your code to EarthPy, just send .ipynb file to koldunovn@gmail.com. Python for the Atmospheric and Oceanic Sciences. Koldunov.net (in Russian). Proudly powered by Pelican. Which takes great advantage of Python.
EarthPy - matplotlib
http://earthpy.org/tag/matplotlib.html
Flow duration curves from current USGS NWIS data. Published: Mo 31 August 2015. Using Flow Duration Curves to Determine Basin Characteristics and Estimate Flow. This notebook uses the Scientific Python (scipy) stack tools to generate flow duration curves from current USGS NWIS data. Using recipes from this notebook, you can make:. Iterative import and compilation of USGS station information and data. Iterative charts (one monthly summary boxplot per station). Gantt charts of USGS stations. The function a...
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Ocean Python | Python tools for oceanography and marine sciences
Python tools for oceanography and marine sciences. Skip to primary content. Is a website to learn Python Programming Language. For ocean- and marine-science applications and to share Python code. Is kindly supported by MEOPAR.ca. IPython-Notebook tutorials here: https:/ bitbucket.org/Diego Ibarra/pythontutorials. PREVIOUS POSTS * * * *. Installing Python with Anaconda. June 28, 2017. So far the easiest way to install Python is via Anaconda, which also install many useful modules. Blog at WordPress.com.
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Ocean Quality
Hoy, Ocean Quality cuenta con un equipo comercial y técnico en las principales zonas productivas apoyando y desarrollando la mejor producción. Ambientes Protegidos y Accesorios. Av San Blás, Esquina Venezuela, Km 9 Acaray. Ciudad Del Este - Alto Paraná Paraguay. Tel/Fax: 595 61 579 813.
Ocean Quality
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We are a bunch of quants aspiring to turn modern shipping upside down! PAno 2010.02.23. Web Hosting by Yahoo!
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