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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/40834?offset=210</link>
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	<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/26539/scikit-learn</guid>
	<pubDate>Mon, 29 Feb 2016 17:39:24 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/26539/scikit-learn</link>
	<title><![CDATA[scikit-learn]]></title>
	<description><![CDATA[<p>Machine Learning in Python</p>
<p>Simple and efficient tools for data mining and data analysis<br> Accessible to everybody, and reusable in various contexts<br> Built on NumPy, SciPy, and matplotlib<br> Open source, commercially usable - BSD license</p>
<p>More at&nbsp;http://scikit-learn.org/stable/index.html</p>
<p>&nbsp;</p><p>Address of the bookmark: <a href="http://scikit-learn.org/stable/auto_examples/index.html" rel="nofollow">http://scikit-learn.org/stable/auto_examples/index.html</a></p>]]></description>
	<dc:creator>Jitendra Prajapati</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/pages/view/35805/python-learning-resources-for-bioinformatics-and-computational-biologist</guid>
	<pubDate>Fri, 02 Mar 2018 06:54:15 -0600</pubDate>
	<link>https://bioinformaticsonline.com/pages/view/35805/python-learning-resources-for-bioinformatics-and-computational-biologist</link>
	<title><![CDATA[Python learning resources for bioinformatics and computational biologist !]]></title>
	<description><![CDATA[<p>Python is a general-purpose language, which means it can be used to build just about anything, which will be made easy with the right tools/libraries.</p><p>Professionally, Python is great for backend web development, data analysis, artificial intelligence, and scientific computing. Many developers have also used Python to build productivity tools, games, and desktop apps, so there are plenty of resources to help you learn how to do those as well.</p><p>For pros and cons visit&nbsp;http://www.bestprogramminglanguagefor.me/why-learn-python and&nbsp;http://bioinformaticsonline.com/discussion/view/459/python-vs-perl</p><p>More resources at&nbsp;https://github.com/CodementorIO/Python-Learning-Resources</p><p>Following are the list of useful python programming resources:</p><ul>
<li><a href="http://www.oreilly.com/programming/free/20-python-libraries-you-arent-using-but-should.csp">20 Python Libraries You Aren't Using (But Should)</a>&nbsp;<em>(Just fill the fields with any values)</em></li>
<li><a href="https://en.wikibooks.org/wiki/A_Beginner%27s_Python_Tutorial">A Beginner's Python Tutorial</a></li>
<li><a href="https://python.swaroopch.com/">A Byte of Python</a>&nbsp;(3.x) (HTML, PDF, EPUB, Mobi)</li>
<li><a href="https://github.com/RafeKettler/magicmethods">A Guide to Python's Magic Methods</a>&nbsp;- Rafe Kettler</li>
<li><a href="http://www.oreilly.com/programming/free/files/a-whirlwind-tour-of-python.pdf">A Whirlwind Tour of Python</a>&nbsp;- Jake VanderPlas (PDF)&nbsp;<a href="http://www.oreilly.com/programming/free/a-whirlwind-tour-of-python.csp?download=yes">(EPUB, MOBI)</a></li>
<li><a href="http://automatetheboringstuff.com/chapter0/">Automate the Boring Stuff</a>&nbsp;- Al Sweigart</li>
<li><a href="http://biopython.org/DIST/docs/tutorial/Tutorial.pdf">Biopython</a>&nbsp;(PDF)</li>
<li><a href="http://github.com/thewhitetulip/build-app-with-python-antitextbook">Build applications in Python the antitextbook</a>&nbsp;(3.x) (HTML, PDF, EPUB, Mobi)</li>
<li><a href="https://www.packtpub.com/packt/free-ebook/python-machine-learning-algorithms">Building Machine Learning Systems with Python</a>&nbsp;- Willi Richert &amp; Luis Pedro Coelho, Packt.&nbsp;<em>(Just fill the fields with any values)</em></li>
<li><a href="http://www.itmaybeahack.com/book/oodesign-python-2.1/latex/BuildingSkillsinOODesign.pdf">Building Skills in Object-Oriented Design (Python)</a>&nbsp;(PDF) (2.1.1)</li>
<li><a href="http://www.itmaybeahack.com/book/python-2.6/latex/BuildingSkillsinPython.pdf">Building Skills in Python</a>&nbsp;(PDF) (2.6)</li>
<li><a href="http://python.net/~goodger/projects/pycon/2007/idiomatic/handout.html">Code Like a Pythonista: Idiomatic Python</a></li>
<li><a href="https://www.codecademy.com/learn/python">CodeCademy Python</a></li>
<li><a href="http://composingprograms.com/">Composing Programs</a>&nbsp;(3.x)</li>
<li><a href="https://web.archive.org/web/20161016153130/http://www.brpreiss.com/books/opus7/html/book.html">Data Structures and Algorithms in Python</a>&nbsp;- B. R. Preiss (PDF)</li>
<li><a href="http://getpython3.com/diveintopython3/">Dive into Python 3</a>&nbsp;- Mark Pilgrim (3.0)
<ul>
<li><a href="http://www.diveintopython.net/">Dive into Python</a>&nbsp;- Mark Pilgrim (2.3)</li>
</ul>
</li>
<li><a href="http://www.labri.fr/perso/nrougier/from-python-to-numpy/">From Python to NumPy</a></li>
<li><a href="http://www.fullstackpython.com/">Full Stack Python</a></li>
<li><a href="http://www.oreilly.com/programming/free/functional-programming-python.csp">Functional Programming in Python</a>&nbsp;<em>(Just fill the fields with any values)</em></li>
<li><a href="http://python.cs.southern.edu/pythonbook/pythonbook.pdf">Fundamentals of Python Programming</a>&nbsp;- Richard L. Halterman (PDF) (3.2)</li>
<li><a href="https://developers.google.com/edu/python/">Google's Python Class</a>&nbsp;(2.4 - 2.x)</li>
<li><a href="https://google.github.io/styleguide/pyguide.html">Google's Python Style Guide</a></li>
<li><a href="http://inventwithpython.com/hacking/chapters/">Hacking Secret Cyphers with Python</a>&nbsp;- Al Sweigart (3.3)</li>
<li><a href="http://www.oreilly.com/programming/free/hadoop-with-python.csp">Hadoop with Python</a>&nbsp;<em>(Just fill the fields with any values)</em></li>
<li><a href="http://ianozsvald.com/HighPerformancePythonfromTrainingatEuroPython2011_v0.2.pdf">High Performance Python</a>&nbsp;(PDF)</li>
<li><a href="http://docs.python-guide.org/en/latest/">Hitchhiker's Guide to Python!</a>&nbsp;(2.6)</li>
<li><a href="http://www.oreilly.com/programming/free/files/how-to-make-mistakes-in-python.pdf">How to Make Mistakes in Python</a>&nbsp;- Mike Pirnat (PDF) (1st edition)</li>
<li><a href="http://interactivepython.org/courselib/static/thinkcspy/index.html">How to Think Like a Computer Scientist: Learning with Python, Interactive Edition</a>&nbsp;(3.2)
<ul>
<li><a href="http://www.greenteapress.com/thinkpython/thinkCSpy/">How to Think Like a Computer Scientist: Learning with Python</a>&nbsp;- Allen B. Downey, Jeff Elkner and Chris Meyers (2.4)</li>
<li><a href="http://www.greenteapress.com/thinkpython/">Think Python</a>&nbsp;- Allen B. Downey (2.x &amp; 3.0)</li>
</ul>
</li>
<li><a href="http://book.pythontips.com/en/latest/index.html">Intermediate Python</a>&nbsp;- Muhammad Yasoob Ullah Khalid (1st edition)</li>
<li><a href="http://opentechschool.github.io/python-beginners/en/">Introduction to Programming with Python</a>&nbsp;(3.3)
<ul>
<li><a href="http://python-ebook.blogspot.co.uk/">Introduction to Programming Using Python</a>&nbsp;- Cody Jackson (1st edition) (2.3)</li>
</ul>
</li>
<li><a href="http://kracekumar.com/post/71171551647/introduction-to-python">Introduction to Python</a>&nbsp;- Kracekumar (2.7.3)</li>
<li><a href="http://inventwithpython.com/chapters/">Invent Your Own Computer Games With Python</a>&nbsp;- Al Sweigart (3.1)</li>
<li><a href="http://learnpythonbreakpython.com/">Learn Python, Break Python</a></li>
<li><a href="https://learnxinyminutes.com/docs/python/">Learn Python in Y minutes</a></li>
<li><a href="http://learnpythonthehardway.org/book/">Learn Python The Hard Way</a>&nbsp;(2.5 - 2.6)</li>
<li><a href="https://www.ida.liu.se/~732A47/literature/PythonBook.pdf">Learn to Program Using Python</a>&nbsp;- Cody Jackson (PDF)</li>
<li><a href="https://www.packtpub.com/packt/free-ebook/learning-python">Learning Python</a>&nbsp;- Fabrizio Romano, Packt.&nbsp;<em>(Just fill the fields with any values)</em></li>
<li><a href="http://www.alan-g.me.uk/">Learning to Program</a></li>
<li><a href="https://github.com/jrjohansson/scientific-python-lectures">Lectures on scientific computing with python</a>&nbsp;- J.R. Johansson (2.7)</li>
<li><a href="http://inventwithpython.com/pygame/chapters/">Making Games with Python &amp; Pygame</a>&nbsp;- Al Sweigart (2.7)</li>
<li><a href="http://www.clips.ua.ac.be/sites/default/files/modeling-creativity.pdf">Modeling Creativity: Case Studies in Python</a>&nbsp;- Tom D. De Smedt (PDF)</li>
<li><a href="http://www.nltk.org/book/">Natural Language Processing with Python</a>&nbsp;(3.x)</li>
<li><a href="https://en.wikibooks.org/wiki/Non-Programmer%27s_Tutorial_for_Python_3">Non-Programmer's Tutorial for Python 3</a>&nbsp;(3.3)
<ul>
<li><a href="https://en.wikibooks.org/wiki/Non-Programmer%27s_Tutorial_for_Python_2.6">Non-Programmer's Tutorial for Python 2.6</a>&nbsp;(2.6)</li>
</ul>
</li>
<li><a href="http://www.oreilly.com/programming/free/from-future-import-python.csp">Picking a Python Version: A Manifesto</a>&nbsp;<em>(Just fill the fields with any values)</em></li>
<li><a href="http://python3porting.com/">Porting to Python 3: An In-Depth Guide</a>&nbsp;(2.6 - 2.x &amp; 3.1 - 3.x)</li>
<li><a href="https://launchpadlibrarian.net/165489933/PracticalProgrammingPython2014.pdf">Practical Programming in Python</a>&nbsp;- Jeffrey Elkner (PDF)</li>
<li><a href="http://interactivepython.org/runestone/static/pythonds/index.html">Problem Solving with Algorithms and Data Structures using Python</a>&nbsp;- Bradley N. Miller and David L. Ranum</li>
<li><a href="http://programarcadegames.com/">Program Arcade Games With Python And Pygame</a>&nbsp;(3.3)</li>
<li><a href="http://programmingcomputervision.com/downloads/ProgrammingComputerVision_CCdraft.pdf">Programming Computer Vision with Python</a>&nbsp;(PDF)</li>
<li><a href="https://docs.python.org/2/download.html">Python 2 Official Documentation</a>&nbsp;(PDF, HTML, TEXT) (2.x)</li>
<li><a href="http://infohost.nmt.edu/tcc/help/pubs/python/web/">Python 2.7 quick reference</a>&nbsp;- New Mexico Tech (2.7)</li>
<li><a href="https://docs.python.org/3/download.html">Python 3 Official Documentation</a>&nbsp;(PDF, EPUB, HTML, TEXT) (3.x)</li>
<li><a href="http://chimera.labs.oreilly.com/books/1230000000393/index.html">Python Cookbook</a>&nbsp;- David Beazley</li>
<li><a href="https://github.com/jakevdp/PythonDataScienceHandbook">Python Data Science Handbook</a>&nbsp;- Jake VanderPlas (HTML, Jupyter Notebooks)</li>
<li><a href="http://www.kevinsheppard.com/images/0/09/Python_introduction.pdf">Python for Econometrics</a>&nbsp;- Kevin Sheppard (PDF) (2.7.5)</li>
<li><a href="http://py4e.com/book.php">Python for Everybody Exploring Data Using Python 3</a>&nbsp;- Charles Severance (PDF, EPUB, HTML)
<ul>
<li><a href="http://www.pythonlearn.com/book.php">Python for Informatics: Exploring Information</a>&nbsp;(2.7.5)</li>
</ul>
</li>
<li><a href="http://pymbook.readthedocs.org/en/latest/">Python for you and me</a>&nbsp;(2.7.3)</li>
<li><a href="http://pymbook.readthedocs.org/en/py3/">Python for you and me</a>&nbsp;(3.x)</li>
<li><a href="http://safehammad.com/downloads/python-idioms-2014-01-16.pdf">Python Idioms</a>&nbsp;(PDF)</li>
<li><a href="http://www.oreilly.com/programming/free/python-in-education.csp">Python in Education</a>&nbsp;<em>(Just fill the fields with any values)</em></li>
<li><a href="http://www.greenteapress.com/pythonhydro/pythonhydro.html">Python in Hydrology</a>&nbsp;- Sat Kumar Tomer</li>
<li><a href="https://github.com/gregmalcolm/python_koans">Python Koans</a>&nbsp;(2.7 or 3.x)</li>
<li><a href="https://pymotw.com/3/">Python Module of the Week</a>&nbsp;(3.x)
<ul>
<li><a href="https://pymotw.com/2/">Python Module of the Week</a>&nbsp;(2.x)</li>
</ul>
</li>
<li><a href="http://books.goalkicker.com/PythonBook/">Python Notes for Professionals</a>&nbsp;- Compiled from StackOverflow documentation (3.x)</li>
<li><a href="http://anandology.com/python-practice-book/index.html">Python Practice Book</a>&nbsp;(2.7.1)</li>
<li><a href="http://pythonpracticeprojects.com/">Python Practice Projects</a></li>
<li><a href="https://upload.wikimedia.org/wikipedia/commons/9/91/Python_Programming.pdf">Python Programming</a>&nbsp;(PDF) (2.6)</li>
<li><a href="http://scipy-lectures.github.io/">Scipy Lecture Notes</a></li>
<li><a href="http://www-inst.eecs.berkeley.edu/~cs61a/sp12/book/">SICP in Python</a>&nbsp;(3.2)</li>
<li><a href="http://www.briggs.net.nz/snake-wrangling-for-kids.html">Snake Wrangling For Kids</a>&nbsp;(3.x)</li>
<li><a href="http://python3porting.com/">Suporting Python 3: An In-Depth Guide</a>&nbsp;(2.6 - 2.x &amp; 3.1 - 3.x)</li>
<li><a href="http://chimera.labs.oreilly.com/books/1234000000754/index.html">Test-Driven Web Development with Python</a>&nbsp;(3.3 - 3.x)</li>
<li><a href="http://gnosis.cx/TPiP/">Text Processing in Python</a>&nbsp;- David Mertz (2.3 - 2.x)</li>
<li><a href="http://www.spronck.net/pythonbook/">The Coder's Apprentice: Learning Programming with Python 3</a>&nbsp;- Pieter Spronck (PDF) (3.x)</li>
<li><a href="http://www.jython.org/jythonbook/en/1.0">The Definitive Guide to Jython, Python for the Java Platform</a>&nbsp;- Josh Juneau, Jim Baker, Victor Ng, Leo Soto, Frank Wierzbicki (2.5)</li>
<li><a href="http://docs.quantifiedcode.com/python-anti-patterns/">The Little Book of Python Anti-Patterns</a>&nbsp;(<a href="https://github.com/quantifiedcode/python-anti-patterns">Source</a>)</li>
<li><a href="http://niche-canada.org/research/niche-digital-infrastructure-project/the-programming-historian/">The Programming Historian</a>&nbsp;- William J. Turkel, Adam Crymble and Alan MacEachern</li>
<li><a href="http://mirnazim.org/writings/python-ecosystem-introduction/">The Python Ecosystem: An Introduction</a></li>
<li><a href="http://python-gtk-3-tutorial.readthedocs.org/en/latest/">The Python GTK+ 3 Tutorial</a></li>
<li><a href="http://effbot.org/librarybook/">The Standard Python Library</a>&nbsp;- Fredrik Lundh</li>
<li><a href="http://greenteapress.com/complexity/">Think Complexity</a>&nbsp;- Allen B. Downey (2nd Edition) (PDF, HTML)</li>
<li><a href="http://web2py.com/book">Web2py: Complete Reference Manual, 6th Edition (pre-release)</a>&nbsp;(2.5 - 2.x)</li>
<li><a href="https://en.wikibooks.org/wiki/Python_Programming">Wikibooks: Python Programming</a>&nbsp;(2.7)</li>
</ul>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/40221/dash-a-web-application-framework-that-provides-pure-python-abstraction-around-html-css-and-javascript</guid>
	<pubDate>Tue, 05 Nov 2019 06:39:48 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/40221/dash-a-web-application-framework-that-provides-pure-python-abstraction-around-html-css-and-javascript</link>
	<title><![CDATA[Dash: a web application framework that provides pure Python abstraction around HTML, CSS, and JavaScript.]]></title>
	<description><![CDATA[<p style="margin-top: 0px; margin-bottom: 0.75rem;">Dash is a web application framework that provides pure Python abstraction around HTML, CSS, and JavaScript.</p>
<p style="margin-top: 0px; margin-bottom: 0.75rem;">Dash Bio is a suite of bioinformatics components that make it simpler to analyze and visualize bioinformatics data and interact with them in a Dash application.</p>
<p style="margin-top: 0px; margin-bottom: 0.75rem;">The source can be found on GitHub at<span>&nbsp;</span><a href="https://github.com/plotly/dash-bio">plotly/dash-bio</a>.</p>
<p style="margin-top: 0px; margin-bottom: 0.75rem;">These docs are using Dash Bio version 0.1.4.</p><p>Address of the bookmark: <a href="https://dash.plot.ly/dash-bio" rel="nofollow">https://dash.plot.ly/dash-bio</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/42923/flanker</guid>
	<pubDate>Sat, 27 Feb 2021 22:04:53 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/42923/flanker</link>
	<title><![CDATA[Flanker]]></title>
	<description><![CDATA[<p><span>Flanker, a Python package which performs alignment-free clustering of gene flanking sequences in a consistent format, allowing investigation of&nbsp;<span>mobile genetic elements (</span>MGEs) without prior knowledge of their structure.&nbsp;<span>Flanker can be flexibly parameterised to finetune outputs by characterising upstream and downstream regions separately and investigating variable lengths of flanking sequence.</span></span></p>
<p><span><img src="https://github.com/wtmatlock/flanker/raw/main/docs/frontpage.png" alt="image" style="border: 0px;"></span></p><p>Address of the bookmark: <a href="https://github.com/wtmatlock/flanker" rel="nofollow">https://github.com/wtmatlock/flanker</a></p>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/34567/jobtree-based-python-wrapper-to-run-the-genome-simulation-tool-suite-evolver</guid>
	<pubDate>Fri, 08 Dec 2017 16:26:32 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/34567/jobtree-based-python-wrapper-to-run-the-genome-simulation-tool-suite-evolver</link>
	<title><![CDATA[jobTree based python wrapper to run the genome simulation tool suite Evolver]]></title>
	<description><![CDATA[<p><span>evolverSimControl</span><span>&nbsp;(</span><span>eSC</span><span>) can be used to simulate multi-chromosome genome evolution on an arbitrary phylogeny (</span><a href="http://evolution.genetics.washington.edu/phylip/newicktree.html">Newick format</a><span>). In addition to simply running evolver,&nbsp;</span><span>eSC</span><span>&nbsp;also automatically creates statistical summaries of the simulation as it runs including text and image files. Also included are convenience scripts to: check on a running simulation and see detailed status and logging information; extract fasta sequence files from the leaf nodes of a completed simulation; extract pairwise multiple alignment files (</span><a href="http://genome.ucsc.edu/FAQ/FAQformat.html#format5">.maf</a><span>) from leaf and branch nodes from a completed simulation and with the help of&nbsp;</span><a href="https://github.com/dentearl/mafTools/">mafJoin</a><span>, join them together into a single maf covering the entire simulation.</span></p><p>Address of the bookmark: <a href="https://github.com/dentearl/evolverSimControl" rel="nofollow">https://github.com/dentearl/evolverSimControl</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/40099/contiguator</guid>
	<pubDate>Fri, 04 Oct 2019 01:27:58 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/40099/contiguator</link>
	<title><![CDATA[CONTIGuator !]]></title>
	<description><![CDATA[<p><span>CONTIGuator is a Python script for Linux environments whose purpose is to speed-up the bacterial genome assembly process and to obtain a first insight of the genome structure using the well-known artemis comparison tool (ACT).</span></p>
<p>&nbsp;</p><p>Address of the bookmark: <a href="https://sourceforge.net/projects/contiguator/" rel="nofollow">https://sourceforge.net/projects/contiguator/</a></p>]]></description>
	<dc:creator>BioStar</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/pages/view/44284/tools-for-geospatial-data-analysis</guid>
	<pubDate>Wed, 22 Mar 2023 02:10:28 -0500</pubDate>
	<link>https://bioinformaticsonline.com/pages/view/44284/tools-for-geospatial-data-analysis</link>
	<title><![CDATA[Tools for Geospatial data analysis !]]></title>
	<description><![CDATA[<div><div><div><div><div><div><div><div><div><div><p>Geospatial data is becoming increasingly important in many fields, including urban planning, environmental science, public health, and more. These tools can help you work with data from a variety of sources, including satellite imagery, GPS data, and other forms of spatial data. They can help you visualize data, perform complex analysis, and even create maps and other visualizations.</p><p>The list includes some of the most popular and widely used geospatial tools available in Python. These tools can help you work with data from a variety of sources and in a variety of formats. Some of the tools are focused on visualization, such as Cartopy, Folium, and Contextily, which allow you to create interactive maps and other visualizations. Other tools are more focused on data manipulation and analysis, such as Fiona, GeoPandas, and Rasterio, which allow you to manipulate and analyze spatial data in a variety of ways.</p><p>The list also includes some tools for working with specific types of geospatial data. For example, the H3 library is designed specifically for working with hexagonal grids, while PySAL is focused on spatial econometrics and spatial analysis. Whether you are a data scientist, GIS specialist, or geospatial enthusiast, these tools are sure to enhance your work and help you achieve your goals.</p><p>In summary, this list is an excellent resource for anyone working with geospatial data in Python. It contains a wide range of tools for working with different types of data, and can help you visualize data, perform complex analysis, and create maps and other visualizations. If you're looking to enhance your skills in geospatial analysis, this list is definitely worth checking out.</p></div></div></div><div><p>These tools are:</p><ul>
<li>ArcGIS - <a href="https://lnkd.in/dgC6sKJH" target="_new">https://lnkd.in/dgC6sKJH</a></li>
<li>Cartopy - <a href="https://lnkd.in/dc8ijXRg" target="_new">https://lnkd.in/dc8ijXRg</a></li>
<li>Contextily - <a href="https://lnkd.in/dTdQsmKX" target="_new">https://lnkd.in/dTdQsmKX</a></li>
<li>Descartes - <a href="https://lnkd.in/dCJykxwW" target="_new">https://lnkd.in/dCJykxwW</a></li>
<li>Fiona - <a href="https://lnkd.in/d8sJ3Q5a" target="_new">https://lnkd.in/d8sJ3Q5a</a></li>
<li>Folium - <a href="https://lnkd.in/dfSsE-MB" target="_new">https://lnkd.in/dfSsE-MB</a></li>
<li>GDAL - <a href="https://lnkd.in/dYBJBaAY" target="_new">https://lnkd.in/dYBJBaAY</a></li>
<li>Geohash - <a href="https://lnkd.in/d_NxJ4_M" target="_new">https://lnkd.in/d_NxJ4_M</a></li>
<li>GeoJSON - <a href="https://lnkd.in/daGs2WYq" target="_new">https://lnkd.in/daGs2WYq</a></li>
<li>GeoPandas - <a href="https://lnkd.in/dBTFKKV3" target="_new">https://lnkd.in/dBTFKKV3</a></li>
<li>Geopy - <a href="https://lnkd.in/dfAzR8Xa" target="_new">https://lnkd.in/dfAzR8Xa</a></li>
<li>Gevent - <a href="http://www.gevent.org/" target="_new">http://www.gevent.org</a></li>
<li>H3 - <a href="https://h3geo.org/docs/" target="_new">https://h3geo.org/docs/</a></li>
<li>OSMnx - <a href="https://lnkd.in/dm3pHgUS" target="_new">https://lnkd.in/dm3pHgUS</a></li>
<li>PyQGIS - <a href="https://lnkd.in/dShWyWVr" target="_new">https://lnkd.in/dShWyWVr</a></li>
<li>PySAL - <a href="https://pysal.org/" target="_new">https://pysal.org</a></li>
<li>Pydeck - <a href="https://lnkd.in/dGBFu-iw" target="_new">https://lnkd.in/dGBFu-iw</a></li>
<li>Pyproj - <a href="https://lnkd.in/dNG9fdkm" target="_new">https://lnkd.in/dNG9fdkm</a></li>
<li>RTree - <a href="https://lnkd.in/dURMiYpU" target="_new">https://lnkd.in/dURMiYpU</a></li>
<li>Rasterio - <a href="https://lnkd.in/dEMC6ve6" target="_new">https://lnkd.in/dEMC6ve6</a></li>
<li>Scikit-mobility - <a href="https://lnkd.in/dpHhaX2J" target="_new">https://lnkd.in/dpHhaX2J</a></li>
<li>Shapely - <a href="https://lnkd.in/d568datK" target="_new">https://lnkd.in/d568datK</a></li>
</ul><p>These tools offer a wide range of capabilities for working with geospatial data, from visualizing and manipulating data to performing complex analysis and modeling. Whether you are a data scientist, GIS specialist, or geospatial enthusiast, these tools are sure to enhance your work and help you achieve your goals.</p></div></div></div></div></div></div></div></div>]]></description>
	<dc:creator>BioStar</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/file/view/18653/genetic-code-amino-acid</guid>
	<pubDate>Sun, 26 Oct 2014 07:45:58 -0500</pubDate>
	<link>https://bioinformaticsonline.com/file/view/18653/genetic-code-amino-acid</link>
	<title><![CDATA[Genetic code - Amino Acid]]></title>
	<description><![CDATA[<p>The genetic code consists of 64 triplets of nucleotides. These triplets are called codons.With three exceptions, each codon encodes for one of the 20 amino acids used in the synthesis of proteins. That produces some redundancy in the code: most of the amino acids being encoded by more than one codon.</p><p>The image summarise all in one.</p><p>More at http://users.rcn.com/jkimball.ma.ultranet/BiologyPages/C/Codons.html</p>]]></description>
	<dc:creator>Poonam Mahapatra</dc:creator>
	<enclosure url="https://bioinformaticsonline.com/file/download/18653" length="226605" type="image/jpeg" />
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/pages/view/30654/source-code-and-pseudo-code</guid>
	<pubDate>Mon, 23 Jan 2017 10:17:35 -0600</pubDate>
	<link>https://bioinformaticsonline.com/pages/view/30654/source-code-and-pseudo-code</link>
	<title><![CDATA[Source Code and Pseudo Code !!]]></title>
	<description><![CDATA[<p>An <span style="text-decoration: underline;">algorithm</span> is a procedure for solving a problem in terms of the actions to be executed and the order in which those actions are to be executed. An algorithm is merely the sequence of steps taken to solve a problem. The steps are normally "sequence," "selection, " "iteration," and a case-type statement.</p><p>In C, "sequence statements" are imperatives. The "selection" is the "if then else" statement, and the iteration is satisfied by a number of statements, such as the "while," " do," and the "for," while the case-type statement is satisfied by the "switch" statement.</p><hr><p><span style="text-decoration: underline;">Pseudocode</span> is an artificial and informal language that helps programmers develop algorithms. Pseudocode is a "text-based" detail (algorithmic) design tool.</p><p>The rules of Pseudocode are reasonably straightforward. All statements showing "dependency" are to be indented. These include while, do, for, if, switch. Examples below will illustrate this notion.</p><p><strong> GUIDE TO PSEUDOCODE LEVEL OF DETAIL: Given record/file descriptions, pseudocode should be created in sufficient detail so as to directly support the programming effort. It is the purpose of pseudocode to elaborate on the algorithmic detail and not just cite an abstraction. </strong></p><hr><p>Examples:</p><p>1.</p><pre>If student's grade is greater than or equal to 60
    Print "passed"
else
    Print "failed"  
endif
</pre><hr><p>2.</p><pre>  
Set total to zero
Set grade counter to one
While grade counter is less than or equal to ten
    Input the next grade
    Add the grade into the total
endwhile 
Set the class average to the total divided by ten
Print the class average.
</pre><hr><p>3.</p><pre>Initialize total to zero
Initialize counter to zero
Input the first grade
while the user has not as yet entered the sentinel
   add this grade into the running total 
   add one to the grade counter  
   input the next grade (possibly the sentinel)
endwhile

if the counter is not equal to zero
   set the average to the total divided by the counter
   print the average  
else
   print 'no grades were entered' 
endif 
</pre><hr><p>4.</p><pre>initialize passes to zero
initialize failures to zero
initialize student to one
while student counter is less than or equal to ten
    input the next exam result  
    if the student passed</pre><p>add one to passes else add one to failures add one to student counter endif endwhile print the number of passes print the number of failures if eight or more students passed print "raise tuition" endif</p><hr><h3><strong>5.</strong></h3><pre>Larger example:  

NOTE:  NEVER ANY DATA DECLARATIONS IN PSEUDOCODE

Print out appropriate heading and make it pretty
While not EOF do:
     Scan over blanks and white space until a char is found 
	(get first character on the line)
     set can't-be-ascending-flag to 0
     set consec cntr to 1
     set ascending cntr to 1
     putchar first char of string to screen
     set read character to hold character
     While next character read != blanks and white space
          putchar out on screen
          if new char = hold char + 1
               add 1 to consec cntr
               set hold char = new char
               continue
          endif
          if new char &gt;= hold char 
               if consec cntr &lt; 3 
                    set consec cntr to 1
               endif
               set hold char = new char
               continue
          endif
          if new char &lt; hold char
               if consec cntr &lt; 3
                    set consec cntr to 1
               endif
               set hold char = new char
               set can't be ascending flag to 1
               continue
           endif
     end while
     if consec cntr &gt;= 3 
          printf (Appropriate message 1 and skip a line)
          add 1 to consec total
     endif
     if  can't be ascending flag = 0
          printf (Appropriate message 2 and skip a line)
          add 1 to ascending total
     else
          printf (Sorry message and skip a line)
          add 1 to sorry total
     endif
end While
Print out totals:  Number of consecs, ascendings, and sorries.
Stop
</pre><p>Some Keywords That Should be Used And Additional Points</p><p>For looping and selection, The keywords that are to be used include Do While...EndDo; Do Until...Enddo; While .... Endwhile is acceptable. Also, Loop .... endloop is also VERY good and is language independent. Case...EndCase; If...Endif; Call ... with (parameters); Call; Return ....; Return; When;</p><p>Always use scope terminators for loops and iteration.</p><p>As verbs, use the words Generate, Compute, Process, etc. Words such as set, reset, increment, compute, calculate, add, sum, multiply, ... print, display, input, output, edit, test , etc. with careful indentation tend to foster desirable pseudocode. Also, using words such as Set and Initialize, when assigning values to variables is also desirable.</p><p>More on Formatting and Conventions in Pseudocoding</p><ul>
<li>INDENTATION in pseudocode should be identical to its implementation in a programming language. Try to indent at least four spaces.</li>
<li>As noted above, the pseudocode entries are to be cryptic, AND SHOULD NOT BE PROSE. NO SENTENCES.</li>
<li>No flower boxes (discussed ahead) in your pseudocode.</li>
<li>Do not include data declarations in your pseudocode.</li>
<li>But do cite variables that are initialized as part of their declarations. E.g. "initialize count to zero" is a good entry.<hr>Function Calls, Function Documentation, and Pseudocode</li>
<li>Calls to Functions should appear as:
<ul>     </ul>
</li>
<li>Returns in functions should appear as:
<ul> </ul>
</li>
<li>Function headers should appear as:
<ul>     </ul>
</li>
<li>Note that in C, arguments and parameters such as "fieldn" could be written: "pointer to fieldn ...."</li>
<li>Functions called with addresses should be written as:
<ul>         </ul>
</li>
<li>Function headers containing pointers should be indicated as:
<ul>        </ul>
</li>
<li>Returns in functions where a pointer is returned:
<ul>   </ul>
</li>
<li>It would not hurt the appearance of your pseudocode to draw a line or make your function header line "bold" in your pseudocode. Try to set off your functions.</li>
<li>Try to use scope terminators in your pseudocode and source code too. It really hels the readability of the text.<hr>Source Code</li>
<li>EVERY function should have a flowerbox PRECEDING IT. This flower box is to include the functions name, the main purpose of the function, parameters it is expecting (number and type), and the type of the data it returns. All of these listed items are to be on separate lines with spaces in between each explanatory item.</li>
<li>FORMAT of flowerbox should be
<p>&nbsp;</p>
<pre>	 ********************************************************
	 Function:   ( cryptic text describing single function
		     ....... (indented like this) 	
		     .......
	 Calls:      Start listing functions "this" function calls
		     Show these functions:  one per line, indented

	 Called by:  List of functions that calls "this" function
		     Show these functions:  one per line, indented.

	 Input Parameters:  list, if appropriate; else None
	 
	 Returns:    List, if appropriate.
	 ****************************************************************
</pre>
</li>
<li>INDENTATION is critically important in Source Code. Follow standard examples given in class. If in doubt, ASK. Always indent statements within IFs, FOR loops, WILLE loops, SWITCH statements, etc. a consistent number of spaces, such as four. Alternatively, use the tab key. One or two spaces is insufficient.</li>
<li>Use scope terminators at the end of if statements, for statements, while statements, and at the end of functions. It will make your program much more readable.
<p><strong> SPELLING ERRORS ARE NOT ACCEPTABLE </strong></p>
</li>
</ul>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/view/119</guid>
	<pubDate>Wed, 10 Jul 2013 14:35:34 -0500</pubDate>
	<link>https://bioinformaticsonline.com/view/119</link>
	<title><![CDATA[Which are the best statistical programming languages to study for a bioinformatician?]]></title>
	<description><![CDATA[<p><span>In Bio-informatics based&nbsp;genome sequencing and predicting metabolic pathways&nbsp;research jobs&nbsp;I used Matlab, SAS, SPSS, R and several Bioconductor packages. Matlab had a lot of powerful tools and was easy to use, whereas SPSS is for non-programmers and R need programming skills. I am wondering what other people think is best? or there might not be one specific language but a few that lend themselves best to Bio-informatics work that is math heavy and deals with a large amount of data.</span></p>]]></description>
	<dc:creator>Jitendra Narayan</dc:creator>
</item>

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