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LaTeX Templates

LaTeX Templates

http://www.latextemplates.com/

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Detexify LaTeX handwritten symbol recognition Want a Mac app? Lucky you. The Mac app is finally stable enough. See how it works on Vimeo. Creating a great data science resume I hear a familiar story from a lot of aspiring data scientists: “I have sent out my resume to 25 companies, and I haven’t heard back from any of them! I have pretty good skills, and I think I have a pretty good resume. I don’t know what’s going on!” How to Produce Professional Documents with LaTeX – Michael Elliot King A simple guide to learning LaTeX for formatting your professional documents If you’ve seen a university level math or science assignment, or read something published in an academic journal, then you’ve seen the results of LaTeX and would recognize its fonts and formatting. What is LaTeX (pronounced lay-tek, NOT lay-teks) is a free, digital typesetting system used by professionals to produce beautiful, high-quality, publishable documents, typically in .pdf format. Rather than typing your document into a word processor, like Microsoft Word, your content is written in plain text in a text editor along with code to provide instructions.

Natbib reference sheet Reference sheet for natbib usage(Describing version 7.0b from 2002/02/27) For a more detailed description of the natbib package, LATEX the source file natbib.dtx. Overview The natbib package is a reimplementation of the LATEX \cite command, to work with both author-year and numerical citations. Writing An Hadoop MapReduce Program In Python In this tutorial I will describe how to write a simple MapReduce program for Hadoop in the Python programming language. Even though the Hadoop framework is written in Java, programs for Hadoop need not to be coded in Java but can also be developed in other languages like Python or C++ (the latter since version 0.14.1). However, Hadoop’s documentation and the most prominent Python example on the Hadoop website could make you think that you must translate your Python code using Jython into a Java jar file. Obviously, this is not very convenient and can even be problematic if you depend on Python features not provided by Jython.

plugins [Zotero Documentation] Translations of this page: Note: for apps and plugins for mobile devices, see mobile. Desktop Integration Side-by-side content in beamer presentations « LaTeX Matters There are two ways (and possibly more) to place content side-by-side in a beamer presentation, the columns and the minipage environments. The first is a beamer-specific environment and is therefore only available in a beamer presentation. Whereas the latter has other applications and is available in all document-classes. Machine Learning vs. Natural Language Processing, part 1 - Lexalytics (Note: Updated July 2, 2015) What is Machine Learning? Machine Learning (in the context of text analytics) is a set of statistical techniques for identifying some aspect of text (parts of speech, entities, sentiment, etc).

Using Zotero with LaTeX (and, naturally, BibTex) – Justin Wiegand Blog If you don’t yet know, Zotero is a fantastic choice for reference management. If you manage references you should use it. It does everything at least as well as the competition and does one thing the competition does not–it clips not only citations, but also full text PDFs from all major databases.

Top four LaTeX mistakes Here are four of the most common typesetting errors I see in books and articles created with LaTeX. 1) Quotes Quotation marks in LaTeX files begin with two back ticks, ``, and end with two single quotes, ''. The first “Yes” was written as ``Yes.'' in LaTeX while the one with the backward opening quote was written as

A Guide to Python Frameworks for Hadoop - Cloudera Engineering Blog I recently joined Cloudera after working in computational biology/genomics for close to a decade. My analytical work is primarily performed in Python, along with its fantastic scientific stack. It was quite jarring to find out that the Apache Hadoop ecosystem is primarily written in/for Java. So my first order of business was to investigate some of the options that exist for working with Hadoop from Python. In this post, I will provide an unscientific, ad hoc review of my experiences with some of the Python frameworks that exist for working with Hadoop, including: Hadoop Streamingmrjobdumbohadoopypydoopand others

Bibliography and citation style The default bibliography [\bibliographystyle{plain}] and citation [ \cite ] styles in latex are not used very commonly used nowadays. After doing a small search on the web and reading some documentation I have found some useful packages which help format the bibliography entries and the citations to the authors in the " author( year) " instead of the " [1] " fromat. Note that all the packages I will use are already in the unix servers in the Statistics Dept ( Pennstate). Citation Style

Night Walker: Latex: \headheight is too small You never know what you will meet when you use Latex, luckily, we can search Google or Yahoo to find the answer. However, it cannot help all the times. There is a problem you may come across using package fancyhdr: Package Fancyhdr Warning: \headheight is too small (12.0pt):Make it at least 14.49998pt.We now make it that large for the rest of the document. It was not easy to find the answer via either Google or Yahoo.

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