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<channel>
	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/30744?offset=1000</link>
	<atom:link href="https://bioinformaticsonline.com/related/30744?offset=1000" rel="self" type="application/rss+xml" />
	<description><![CDATA[]]></description>
	
	
<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/6835/roslin-bioinformatics-group</guid>
  <pubDate>Mon, 25 Nov 2013 23:55:25 -0600</pubDate>
  <link></link>
  <title><![CDATA[Roslin Bioinformatics Group]]></title>
  <description><![CDATA[
<p>Roslin Bioinformatics Group</p>

<p>The Law group provides internal Institute-specific development, training and support roles for data manipulation, sequence analysis and any other aspect of the analysis of biological data using computer systems. Additionally we provide databases and applications supporting the international animal science community, particularly tools and resources for genome mapping.</p>

<p>Head: Andy Law. Members: John Bowman (animal facility database applications), Zen Lu (bioinformatics support), Trevor Paterson (software development)</p>

<p>More @ http://www.bioinformatics.ed.ac.uk/groups/roslin-bioinformatics-group</p>
]]></description>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/18187/bioinformatician-for-a-lab-at-the-weizmann-institute-of-science-israel</guid>
  <pubDate>Mon, 13 Oct 2014 04:38:28 -0500</pubDate>
  <link></link>
  <title><![CDATA[Bioinformatician for a lab at the Weizmann Institute of Science, Israel]]></title>
  <description><![CDATA[
<p>We are looking for enthusiastic, motivated and talented people, at all career stages (MSc, PhD, postdoctoral fellows), to join the lab! Bioinformatics in particular are invited to apply. <br />Our lab focuses on understanding molecular mechanisms of protein modifications in cancer and immune regulation. <br />We employ advanced high-throughput proteomic and genomic methods, cell biology, biochemistry, immunology, in-vivo models as well as systems biology and bioinformatics to study the biology of PTMs in health and disease. Read more here: http://yifatmerbl.com.</p>
]]></description>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/7569/phd-at-university-of-calgary</guid>
  <pubDate>Fri, 27 Dec 2013 20:24:39 -0600</pubDate>
  <link></link>
  <title><![CDATA[PhD at University of Calgary]]></title>
  <description><![CDATA[
<p>Institution/Company: <br />University of Calgary<br />Location: <br />Calgary, AB<br />Job Description: </p>

<p>Novel diagnostic platform for detection of Osteoarthritis</p>

<p>I invite applications from highly motivated individuals to join my laboratory as a PhD student in Systems Biology at the University of Calgary McCaig Institute for Bone and Joint Health. This project is aimed at characterizing the networks of physical (protein-protein) interactions underlying inflammatory processes in patients with Osteoarthritis and how this differs from patients with Rheumatoid Arthritis and normal individuals. This work will eventually lead to the development of a novel diagnostic platform for the non-invasive and accurate detection of early Osteoarthritis. The selected candidate will use state-of-the-art computational methodologies to systematically analyze proteomic data, and develop /implement new algorithms to identify protein and functional interaction networks from high throughput experimental data. The individual will also benefit by working closely with experts at the UofC and UofA through an AIHS Alberta Osteoarthritis Team Grant which includes experts from all pillars of health research. The candidate will also be supported to attend bioinformatics workshops and conferences to advance and disseminate their research.<br />Qualifications: The ideal candidate will have a Master’s degree in Computational Biology, Bioinformatics, or equivalent with strong background knowledge of the Biological Sciences, Biochemistry, and Microbiology. The individual should additionally have experience in handling high-throughput data sets as well as programming skills. The candidate will be registered as a PhD student in Dr. Krawetz’s laboratory, located in the new state-of-the-art Health Research Innovation Centre at the UofC. The individual will have strong verbal and written skills and the ability to work efficiently in a team environment.</p>

<p>In addition to the outstanding research opportunities available in this setting, students also enjoy the many cultural and sporting amenities provided in the city of Calgary, and can take advantage of the unparalleled skiing and hiking in the Rocky Mountains that are less than an hour away.</p>

<p>Candidates must be academically competitive and will be expected to apply for external funding. The stipend is $25,000/yr. For outstanding PhD students, internal top-up award opportunities are available on a competitive basis. If interested in joining the lab, please contact Dr. Krawetz directly at rkrawetz@ucalgary.ca and provide the following information:</p>

<p>- Short cover letter explaining your interest in the lab<br />- Resume<br />- Scanned copy of transcript or listing of course grades<br />- Names and contact information for two individuals who will be willing to provide letters of reference</p>
]]></description>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/22761/pit-bioinformatics-group</guid>
  <pubDate>Tue, 16 Jun 2015 14:34:26 -0500</pubDate>
  <link></link>
  <title><![CDATA[PIT Bioinformatics Group]]></title>
  <description><![CDATA[
<p>PIT Bioinformatics Group solves problems in bioinformatics and  computational biology. Recent developed online tools:</p>

<p>- Budapest Reference Connectome: View a parametrizable connectome (brain graph).<br />- AmphoraNet: The webserver implementation of the AMPHORA2 workflow for phylogenetic analysis of metagenomic shotgun sequencing data.<br />- AmphoraVizu: Chart visualization for metagenomics analysis tools AMPHORA2 and AmphoraNet.<br />- SCARF: Free online association rule mining tool.</p>

<p>More at: http://pitgroup.org</p>
]]></description>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/7215/postdoc-positions-in-computational-biology-center-for-genomic-science-milan-italy</guid>
  <pubDate>Thu, 12 Dec 2013 18:34:47 -0600</pubDate>
  <link></link>
  <title><![CDATA[Postdoc positions in computational biology - Center for Genomic Science - Milan, Italy]]></title>
  <description><![CDATA[
<p>Job Description: three postdoc positions in computational biology are available at the Center for Genomic Science in Milan (Italy):</p>

<p>- Development of computational methods to investigate the interplay between epigenetic and genetic layers and their role in tumor progression, by integrating genomic, epigenomic and transcriptional data. PI: Mattia Pelizzola (http://tiny.cc/comEpi)<br />- Epigenome and transcriptome analysis in mouse models of Hepatocellular Carcinoma. PI: Bruno Amati - Small and long non-coding RNAs in cancer stem cells. PI: Francesco Nicassio</p>

<p>All projects will benefit from the availability of both in-house and publicly available next-generation sequencing datasets. Familiarity with Linux environment, programming skills (especially in R) and a background in either computational biology, or physics/engineering/math will be advantageous.</p>

<p>Deadline for the application January 6th, to apply: http://genomics.iit.it/resources.html</p>

<p>Start date: March 1st, 2014</p>

<p>Duration: 1+2 years</p>

<p>Contact Person (Referent): Mattia Pelizzola</p>

<p>Ref. E-Mail: mattia.pelizzola@iit.it</p>

<p>Tel: 0039-02-94375058<br />Group Web Page: http://genomics.iit.it</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/23498/algorithms-for-dna-sequencing-course-offered-each-month</guid>
	<pubDate>Sun, 26 Jul 2015 01:57:02 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/23498/algorithms-for-dna-sequencing-course-offered-each-month</link>
	<title><![CDATA[Algorithms for DNA Sequencing (course offered each month)]]></title>
	<description><![CDATA[<p>"<span>We will learn computational methods -- algorithms and data structures -- for analyzing DNA sequencing data. We will learn a little about DNA, genomics, and how DNA sequencing is used. We will use Python to implement key algorithms and data structures and to analyze real genomes and DNA sequencing datasets."</span></p>
<p><span>Source :&nbsp;https://www.coursera.org/course/ads1</span></p>
<p>&nbsp;</p><p>Address of the bookmark: <a href="https://www.coursera.org/course/ads1" rel="nofollow">https://www.coursera.org/course/ads1</a></p>]]></description>
	<dc:creator>Rahul Agarwal</dc:creator>
</item>

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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/7383/embo-practical-course-on-bioinformatics-and-genomes-analyses-at-hellenic-pasteur-institute-athens-greece</guid>
  <pubDate>Sat, 21 Dec 2013 10:00:24 -0600</pubDate>
  <link></link>
  <title><![CDATA[EMBO practical Course on  "Bioinformatics and Genomes Analyses" at Hellenic Pasteur Institute, Athens, Greece]]></title>
  <description><![CDATA[
<p>The main objectives of this Practical Course are to strengthen skills <br />of PhD students and young researchers in the domain of Bioinformatics <br />and Genome Data Analyses on the use of advanced fundamental algorithms <br />and their applications in genome studies.</p>

<p>The course topics will include theoretical and practical aspects in:<br />- Genomes comparisons,<br />- Evolutionary analyses (orthologs, paralogs and ancestral genomes <br />inference),<br />- RNAseq and Next Generation Sequencing (including algorithms, methods <br />and sequence mapping tools, data analyses and applications).</p>

<p>The course programme will be centred on theoretical presentations <br />followed by practical sessions. Practical sessions in a Linux <br />environment will involve Unix shell and Perl scripting. Participants <br />are assumed to be familiar with this environment.</p>

<p>A series of lectures delivered by prominent scientists on recent hot <br />topics in genome (Viruses, Prokaryotes, Eukaryotes) studies will be <br />included in the programme and future research perspectives will be <br />highlighted.</p>

<p>The topics that will be included in the course programme are similar <br />to those included in previously organized courses:http://www.pasteur.fr/~tekaia/BGA_courses.html</p>

<p>The course is aimed at motivated Ph.D students and Post-Doctoral <br />Researchers in Academic Institutions, with background in Mathematics, <br />Statistics, Biology or Computer Science and who are involved in <br />Bioinformatics and Genomes studies.</p>

<p>Selection of participants will be based on their background, running <br />research projects and on expressed motivations.<br />Selected students will have free accommodation and meals and are <br />expected to contribute with 200 euros and to pay for their travel <br />expenses.<br />All participants (students and invited speakers) will stay in the same <br />hotel.</p>

<p>Detailed indications are available on the course web site: http://events.embo.org/14-comparative-genomics/index.html</p>

<p>Candidates are advised to complete carefully the application form, <br />together with an abstract of at least one of their running projects, a <br />"one-page CV" and a personal Identity Picture (Photo).</p>

<p>The application deadline is March 14, 2014.</p>

<p>The organizers:<br />Menelaos Manoussakis, Hellenic Pasteur Institute, Athens, Greece.<br />Evdokia Karagouni, Hellenic Pasteur Institute, Athens - Greece.<br />Evie Melanitou,  Institut Pasteur Paris - France.<br />Fredj Tekaia ( Institut Pasteur Paris France)<br />URL: http://www.pasteur.fr/~tekaia/BGA_courses.html</p>

<p>Date: 5 – 17 May, 2014. <br />More at http://events.embo.org/14-comparative-genomics/index.html<br />will take place in the ,</p>
]]></description>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/35422/postdoc-at-jaypee-institute-of-information-technology-jiit-noida-department-of-biotechnology</guid>
  <pubDate>Fri, 02 Feb 2018 11:13:25 -0600</pubDate>
  <link></link>
  <title><![CDATA[PostDoc at Jaypee Institute of Information Technology (JIIT), Noida Department of Biotechnology]]></title>
  <description><![CDATA[
<p>Lab of Dr. Rawal is supported by generous grants to build advanced applications in emerging areas of cancer genomics, network sciences, vaccine development and epidemiology. The lab has dedicated high end Xeon servers, desktops, &amp; laptops for research purpose. Currently, there are several researchers (JRFs, B. Techs, M. Tech and PhDs) working on several challenging bioinformatics projects. In addition, Dr. Rawal has collaborations with reputed national and international research teams.</p>

<p>Dr. Rawal and his US based collaborators have recently secured grant for development of vaccine against an infectious disease agent. For this project, applications are invited for the posts of Post Doctoral Fellow/Research Scientist (One Position) for the following time-bound sponsored projects as per the details given below:</p>

<p>PI: Dr. Kamal Rawal, Biotechnology Department, JIIT, Noida.</p>

<p>Essential Qualification(s) for Post Doctoral Fellow/ Research Scientist:</p>

<p>We are seeking an individual with expertise in analyzing literature information, text mining, network biology, data integration, and modeling. Competitive candidates would also have programming experience in scripting languages with perl, C, C++, and R programming. This position requires a PhD in Computational Biology, Bioinformatics, Biostatistics, Physics or related fields, and evidence of scientific productivity through publications in international journals. Motivation to gain an in-depth understanding of biological phenomena is required. Applications should include a current CV and names of at least three references. Application packages and inquiries regarding this position can be sent to Dr. Kamal Rawal (bioinfocvatgmaildotcom and kamaldotrawalatgmaildotcom). Screening of applications will commence immediately and the position will remain open until filled. Candidates having master’s degree with extensive experience in IT industry or research can also be considered for this post.</p>

<p>Salary: Rs 50000 per month.</p>

<p>Duration: 2 years or upto the project duration.</p>

<p>Number of position: 1</p>

<p>Candidate may also fill the following form:</p>

<p>https://docs.google.com/…/1FAIpQLSdZoZ21ZoNRStEeL5…/viewform</p>

<p>http://tinyurl.com/bioinfocv2017</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/7568/oldest-hominin-dna-sequenced</guid>
	<pubDate>Fri, 27 Dec 2013 19:58:31 -0600</pubDate>
	<link>https://bioinformaticsonline.com/news/view/7568/oldest-hominin-dna-sequenced</link>
	<title><![CDATA[Oldest Hominin DNA Sequenced]]></title>
	<description><![CDATA[<p>Matthias Meyer and his team from the Max Planck Institute for Evolutionary Anthropology in Leipzig, Germany, have developed new techniques for retrieving and sequencing highly degraded ancient DNA. They then joined forces with Juan-Luis Arsuaga and applied the new techniques to a cave bear from the Sima de los Huesos site. After this success, the researchers sampled two grams of bone powder from a hominin thigh bone from the cave. They extracted its DNA and sequenced the genome of the mitochondria or mtDNA, a small part of the genome that is passed down along the maternal line and occurs in many copies per cell. The researchers then compared this ancient mitochondrial DNA with Neandertals, Denisovans, present-day humans, and apes.<br /><br />From the missing mutations in the old DNA sequences the researchers calculated that the Sima hominin lived about 400,000 years ago. They also found that it shared a common ancestor with the Denisovans, an extinct archaic group from Asia related to the Neandertals, about 700,000 years ago. "The fact that the mtDNA of the Sima de los Huesos hominin shares a common ancestor with Denisovan rather than Neandertal mtDNAs is unexpected since its skeletal remains carry Neandertal-derived features," says Matthias Meyer. Considering their age and Neandertal-like features, the Sima hominins were likely related to the population ancestral to both Neandertals and Denisovans. Another possibility is that gene flow from yet another group of hominins brought the Denisova-like mtDNA into the Sima hominins or their ancestors.<br /><br /></p><p>Reference</p><p>http://www.sciencedaily.com/releases/2013/12/131204132018.htm</p>]]></description>
	<dc:creator>Surajeet</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>

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