| A | B | C | D | |
|---|---|---|---|---|
1 | message_one | message_two | link | tweet_log |
2 | Learn how to preserve your research data with @j_w_baker - | Structure and document your research data to make sure they last. More here from @j_w_baker - | https://doi.org/10.46430/phen0039 | |
3 | Learn the basics of Markdown with this lesson from @sarahsimpkin - | Markdown is a plain text-based syntax for formatting documents. Learn more with this tutorial from @sarahsimpkin - | https://doi.org/10.46430/phen0046 | X |
4 | .@dennistenen and @gwijthoff teach how Markdown and pandoc can ensure your work is as sustainable as possible - | .@dennistenen and @gwijthoff teach how to use pandoc and markdown to transform your documents for any situation - | https://doi.org/10.46430/phen0041 | |
5 | Learn from @literature_geek about producing static sites with GitHub pages - | This tutorial from @literature_geek can help you quickly spin up a static site using jekyll and GitHub - | https://doi.org/10.46430/phen0048 | |
6 | Quickly work with large amounts of tabular data using R with this lesson from @dtdewar - | .@dtdewar illustrates basic R techniques for working with tabular data - | https://doi.org/10.46430/phen0056 | |
7 | Looking to get started with the command-line interface? @ianmilligan1 and @j_w_baker can help you learn bash - | Getting started? This lesson from @ianmilligan1 @j_w_baker is a good way into DH programming - | https://doi.org/10.46430/phen0037 | X |
8 | Ted Dawson helps Windows users get started with PowerShell in this tutorial - | Ted Dawson introduces PowerShell for Windows users getting started with humanities programming - | https://doi.org/10.46430/phen0054 | |
9 | Learn how carefully organized research data can be explored from the unix shell with @j_w_baker and @ianmilligan1 - | In this lesson, @j_w_baker and @ianmilligan1 walk through how to use the Unix shell to count and mine your data - | https://doi.org/10.46430/phen0040 | |
10 | Learn to assess the quality of your data and improve upon it with @sethvanhooland @RubenVerborgh and Max De Wilde - | In this lesson, @sethvanhooland @RubenVerborgh and Max De Wilde introduce Open Refine for data cleaning - | https://doi.org/10.46430/phen0023 | |
11 | Take your find-and-replace commands to the next level with regular expressions as explained by @knoxdw - | In this lesson, @knoxdw explains how regular expressions can give more nuanced ways to explore your texts - | https://doi.org/10.46430/phen0033 | |
12 | In this lesson, @rungiraffe shows how to use regular expressions to clean up your OCR'd text - | @rungiraffe walks through how regular expressions can make your OCR'd text more usable - | https://doi.org/10.46430/phen0024 | |
13 | In this lesson, @Seth_Bernstein uses Python to transliterate non-Latin vocabularies - | Looking to automatically transliterate non-Latin texts? @Seth_Bernstein shows how to do so with Python - | https://doi.org/10.46430/phen0032 | X |
14 | Jon Crump shows how to get from OCR'd text to ordered, usable data in this lesson - | OCR'd some text but not sure what to do next? Jon Crump shows how to turn your results into ordered data - | https://doi.org/10.46430/phen0036 | |
15 | Learn to extract your custom sets of keywords from your texts with @adam_crymble - | In this lesson, @adam_crymble uses Python to extract custom sets of keywords from texts - | https://doi.org/10.46430/phen0045 | |
16 | Learn basic techniques for transforming XML using XSL from @mhbeals in this lesson - | Looking to transform your XML into other formats? This lesson on XSL from @mhbeals can help - | https://doi.org/10.46430/phen0097 | |
17 | Have JSON you need to convert to other formats? Check out this lesson from @matthewdlincoln - | This tutorial from @matthewdlincoln introduces jq for parsing JSON - | https://doi.org/10.46430/phen0055 | |
18 | Put together your own podcast with this tutorial from @walshbr - | Get started with Audacity using this lesson by @walshbr - | https://doi.org/10.46430/phen0050 | |
19 | Have a corpus you are looking to analyze? @heatherfro can show you how with this lesson on Antconc - | .@heatherfro introduces Antconc for corpus analysis in this lesson - | https://doi.org/10.46430/phen0043 | X |
20 | Vilja Hulden introduces machine learning techniques for classifying historical documents in this lesson - | Apply Naive Bayesian classifiers to materials from the Old Bailey Online with this tutorial from Vilja Hulden - | https://doi.org/10.46430/phen0038 | |
21 | Take MALLET for a spin with this lesson from @electricarchaeo @ianmilligan1 and @scott_bot - | Learn to topic model your corpus with MALLET with this lesson from @electricarchaeo @ianmilligan1 @scott_bot - | https://doi.org/10.46430/phen0017 | |
22 | Explore your data by turning it into sound using this piece by @electricarchaeo - | Looking to sonify your data but don't know where to start? @electricarchaeo can help - | https://doi.org/10.46430/phen0057 | |
23 | Use Python to mine the @hathtrust Research Center's Feature Reader in this lesson from @POrg and Boris Capitanu - | Interested in text mining the HTRC Feature reader? Learn how with @POrg and Boris Capitanu - | https://doi.org/10.46430/phen0058 | |
24 | Get started with basic text processing using R with this lesson from @statsmaths and @nolauren - | .@statsmaths and @nolauren introduce R for processing historical texts in this lesson - | https://doi.org/10.46430/phen0061 | |
25 | .@fredgibbs walks through how to install Python modules using pip in this introductory lesson - | Looking to get started with Python but running into trouble working with pip? @fredgibbs can help - | https://doi.org/10.46430/phen0029 | X |
26 | Use google maps and google earth to create digital maps with @jburnford @joshmacfadyen and @Danny__Mac__ - | In this lesson, @jburnford @joshmacfadyen and @Danny__Mac__ use google maps and google earth for mapping - | https://doi.org/10.46430/phen0028 | |
27 | Install QGIS and get up and running with @jburnford @joshmacfadyen and @Danny__Mac__ - | .@jburnford @joshmacfadyen and @Danny__Mac__ show how to install QGIS and make your first map - | https://doi.org/10.46430/phen0031 | |
28 | .@jburnford @joshmacfadyen and @Danny__Mac__ show how to create vector layers based on scanned historical maps - | Learn to use QGIS to create vector layers from historical maps with @jburnford @joshmacfadyen and @Danny__Mac__ - | https://doi.org/10.46430/phen0034 | |
29 | Learn to georeference historical maps as raster layers with QGIS with @jburnford @joshmacfadyen @Danny__Mac__ - | .@jburnford @joshmacfadyen and @Danny__Mac__ show how to georeference historical maps with QGIS - | https://doi.org/10.46430/phen0027 | |
30 | Geocode historical data using QGIS and this lesson from @dr_j_r_c - | In this lesson, @dr_j_r_c shows how to geocode historical data using QGIS - | https://doi.org/10.46430/phen0066 | |
31 | Use JavaScript to map historical correspondence in this lesson from @profrichmond and @TommyTavenner - | Looking to map historical correspondence? @profrichmond and @TommyTavenner can show you how with JavaScript - | https://doi.org/10.46430/phen0071 | |
32 | Extract network data and then visualize it using Palladio with this lesson from @martenduering - | Interested in network analysis? @martenduering shows how to extract your data and visualize it with Palladio - | https://doi.org/10.46430/phen0044 | |
33 | Come for the tutorial by @miriamkp on working with omeka.net - stay for the dog photos - | Get "Up and Running with Omeka.net" using this lesson from @miriamkp - | https://doi.org/10.46430/phen0060 | |
34 | Create an @omeka exhibit using your content with this tutorial from @miriamkp and @magpie - | .@miriamkp and @magpie walk us through how to set up an exhibit for your @omeka items - | https://doi.org/10.46430/phen0049 | |
35 | Learn how to install @omeka from @j0_0n - | Installing @omeka for the first time? We can help! Check out this great introduction from @j0_0n - | https://doi.org/10.46430/phen0052 | |
36 | .@wcaleb shows how to use Python to download and parse MARC records from the @internetarchive - | Looking to do research on the @internetarchive? This lesson from @wcaleb can help you automate downloading - | https://doi.org/10.46430/phen0035 | |
37 | Looking to download a whole website? Follow along with @ianmilligan1 to learn how with Wget - | This lesson from @ianmilligan1 shows how to use Wget for automated downloading of whole websites - | https://doi.org/10.46430/phen0001 | |
38 | Already learned the basics of Wget? @Kellen2K can take you to the next level with this lesson - | @Kellen2K illustrates some advanced techniques with Wget for web scraping in this tutorial - | https://doi.org/10.46430/phen0022 | |
39 | Learn to download multiple records by manipulating query strings with @adam_crymble - | .@adam_crymble teaches us to use the Old Bailey Online and Python to quickly download multiple records at once - | https://doi.org/10.46430/phen0005 | |
40 | Check out the original Programming Historian sequence with @adam_crymble and @williamjturkel - | Get started here as a programming historian with the introductory lessons by @adam_crymble and @williamjturkel - | http://programminghistorian.org/en/lessons/#introduction-to-python | |
41 | Looking for an introduction to Linked Open Data? Jonathan Blaney has you covered - | In this lesson, Jonathan Blaney gives an introduction to Linked Open Data - | https://doi.org/10.46430/phen0068 | |
42 | Interested in tidy data, R packages, and data analysis? @nabsiddiqui has a lesson! - | In this lesson, @nabsiddiqui takes us through "Data Wrangling and Management in R" | https://doi.org/10.46430/phen0063 | |
43 | Have web data that needs parsing? Use OpenRefine with @EvanPeterWill - | Use OpenRefine to fetch data from web APIs with this lesson by @EvanPeterWill - | https://doi.org/10.46430/phen0065 | |
44 | Analyze your network data with Python using this lesson from @johnrladd @scott_bot @ChrisVVarren and @jotis13 - | Draw conclusions from your network data with this lesson from @johnrladd @scott_bot @ChrisVVarren and @jotis13 - | https://doi.org/10.46430/phen0064 | |
45 | Build a Twitterbot with Tracery with this lesson from @electricarchaeo | In this lesson, @electricarchaeo demonstrates how to build a twitter bot with Tracery | https://doi.org/10.46430/phen0069 | |
46 | Find connections in your categorical data with a lesson in correspondence analysis by @RyanDeschamps | A new lesson by @RyanDeschamps teaches correspondence analysis in R | https://doi.org/10.46430/phen0062 | |
47 | Learn to conduct "sentiment analysis" on your texts and interpret the results. Lesson by Zoe Saldana - | Need to sort texts by emotional intensity? Learn "sentiment analysis". Tutorial by Zoe Saldana | https://doi.org/10.46430/phen0079 | |
48 | Learn how to use Flask and Python to set up a basic API to make your data more accessible with this lesson from @psmyth01 - | .@psmyth01 shows how to set up an API using Flask to share your data in this lesson - | https://doi.org/10.46430/phen0072 | XY |
49 | Stylometry can help you identify the authorship of anonymous or disputed texts. Lesson by François Dominic Laramée - | Learn to conduct stylometric analysis of texts. #dhist #linguistics Tutorial by François Dominic Laramée - | https://doi.org/10.46430/phen0078 | |
50 | Got a lot of historical data? Make it easier to use w/@jeffblackadar's lesson on creating & using your own historical database using MySQL & R - | MySQL and R can help you store and retrieve your historical research data. Lesson by @jeffblackadar - | https://doi.org/10.46430/phen0076 | |
51 | Learn how to create interactive data visualisations with Bokeh and Pandas. Lesson by Charlie Harper - | The Python libraries Bohek and Pandas can help you interactively analyse your research data. Learn more about them with Charlie Harper - | https://doi.org/10.46430/phen0081 | |
52 | Looking for an introduction to Unity for mobile devices? @jacobwesgreene can help you get started - | .@jacobwgreene introduces augmented reality for mobile devices with Unity in this lesson - | https://doi.org/10.46430/phen0073 | |
53 | Learn how to use R for Geospatial Analysis in Historical reearch from @ericweinberg6 - | .@ericweinberg6 introduces the use of geospatial analysis for historical research using R-language - | https://doi.org/10.46430/phen0075 | |
54 | What's historical network analysis without measuring change over time? @alexbrey teaches how to use R for temporal analysis of networks - | Having difficulty figuring out how to represet the passage of time in your network analyses? @alexbrey has a lesson for you - | https://doi.org/10.46430/phen0080 | |
55 | Looking to work with audiovisual materials? Check out this lesson by @clavilux_of_fl on FFmpeg to transform and analyze your artifacts - | In this lesson, @clavilux_of_fl shows how to use FFmpeg to manipulate and transform audiovisual materials - | https://doi.org/10.46430/phen0077 | |
56 | Extract images from HathiTrust and Internet Archive using python with this lesson by @StephenKrewson - | Ever wanted to extract images from HathiTrust and Internet Archive? Check out our lesson from @StephenKrewson - | https://doi.org/10.46430/phen0084 | |
57 | Learn how to use gravity models to determine the probable distribution in historical datasets, with this lesson by @Adam_Crymble | .@adam_crymble introduces to the magic world of gravity models in historical datasets by using migration patterns as case study | https://doi.org/10.46430/phen0085 | |
58 | Learn the foundations of text analysis and how to use tf-idf with humanities data with this lesson by @HumanitiesData | Have a corpus and wondering what's next? Checkout @HumanitiesData latest lesson on tf-idf, a popular method for text analysis in #DH | https://doi.org/10.46430/phen0082 | |
59 | Learn everything you need to get started with Application Programming Interfaces (APIs) by Go Sugimoto | Add data to a website using an API (application programming interface) by Go Sugimoto | https://doi.org/10.46430/phen0086 | |
60 | Learn how to acquire Twitter data and make them usable for further analysis with this lesson from @BCWrit, Ximin Mi, and Courtney Allen - | Want to work with Twitter data? @BCWrit, Ximin Mi, and Courtney Allen show you how in this lesson - | https://doi.org/10.46430/phen0083 | |
61 | Get started with Jupyter Notebooks for research and teaching with this lesson from @quinnanya @tassietheg and @medievalDHer - | .@quinnanya @tassietheg and @medievalDHer show how to use Jupyter notebooks for research and teaching in this lesson - | https://doi.org/10.46430/phen0087 | |
62 | If you are working with batches of PDF files, don't panic -- this lesson from @moritzmaehr is for you! | This lesson by @moritzmaehr teaches you all the magic when working with batches of PDF files | https://doi.org/10.46430/phen0088 | |
63 | Explore this lesson by @johnrladd to learn about common similarity measures for text analysis - | This lesson by @johnrladd covers principles behind similarity measures for text analysis and how to use them - | https://doi.org/10.46430/phen0089 | |
64 | Learn how to set up a collaborative reseach site and blog with Jekyll with this lesson from @Literature_Geek, @walshbr, and @scholarslab- | Want to know more about how to use Jekyll for collaborative sites? @Literature_Geek, @walshbr, and @scholarslab have a lesson for you- | https://doi.org/10.46430/phen0090 | |
65 | Learn how to convert images of text into text files and translate those text files using Machine tranlsation from Andrew Akhlaghi! | In this lesson, Andrew Akhlaghi will guide you to automatically translate OCR-ed image files. | https://doi.org/10.46430/phen0091 | X |
66 | This lesson from @burnshalle discusses how to work with crowdsourced data using Pandas, a popular Python package for data handling and analysis - | This lesson from @burnshalle uses Panda to normalize crowdsourced data - | https://doi.org/10.46430/phen0093 | |
67 | Do you want to know how to preserve your research data making it accessible in the future? Check the lesson translated into PT by Márcia T. Cavalcanti | The lesson translated into PT by Márcia T. Cavalcanti helps us to preserve our research data making it accessible in the future | https://doi.org/10.46430/phpt0001 | |
68 | Learn how to set up a Integrated Development Environment for Python in Windows! Lesson translated into PT by Josir Gomes | This lesson translated by Josir Gomes will help you to install Python | https://doi.org/10.46430/phpt0006 | |
69 | Learn how to set up a Integrated Development Environment for Python in Linux! Lesson translated into PT by Josir Gomes | This lesson translated by Josir Gomes will help you to install Python | https://doi.org/10.46430/phpt0007 | |
70 | Learn how to set up a Integrated Development Environment for Python in MAC! Lesson translated into PT by Josir Gomes | This lesson translated by Josir Gomes will help you to install Python | https://doi.org/10.46430/phpt0005 | |
71 | Do you want know about Python? Lesson translated by Josir Gomes | This lesson translated by Josir Gomes will help you to learn more about work with Python | https://doi.org/10.46430/phpt0004 | |
72 | Learn how to use Passim, an open source tool for text reuse detection, in this lesson by Matteo Romanello and Simon Hengchen | In this lesson, Matteo Romanello and Simon Hengchen guide you through learning more about Passim, an open source tool for text reuse detection | https://doi.org/10.46430/phen0092 | |
73 | Do you know programming in Python? Let´s trying with this lesson translated by Aracele Torres | In this lesson, Aracele Torres will help you to work with Python | https://doi.org/10.46430/phpt0003 | |
74 | Try to work with web pages and HTML archives! Learn how to do it with this lesson translated by Aracele Torres | This lesson will help you to understanding web pages and HTML | https://doi.org/10.46430/phpt0002 | |
75 | Learn how to write in markdown through the lesson Getting Started with Markdown! It is now translated into PT by @0jonjo | This lesson transleted by @0jonjo will introduce you to Markdown | https://doi.org/10.46430/phpt0008 | |
76 | Create new vector layers with QGIS 2.0. The lesson is now translated into PT by Rafael Laguardia | This lesson translated by Rafael Laguardia will help you create vector layers in QGIS 2.0 | https://doi.org/10.46430/phpt0009 | X |
77 | Curious how to find patterns in your data? Learn how to use Scikit learn in Python to cluster your data in this new lesson by Thomas Jurczyk | In this lesson, Thomas Jurczyk will help you learn how to use Scikit learn in Python to cluster your data with TF-IDF and K-means | https://doi.org/10.46430/phen0094 | X |
78 | Want to learn how to incorporate game creation into the classroom? Gabi Kirilloff's new lesson will teach you! | This lesson by Gabi Kirilloff will help you learn how to incorporate games into your teaching | https://doi.org/10.46430/phen0095 | X |
79 | Do you want to search a text corpus and then map place names using the World Historical Gazeteer? @SusanGrunewald1 and @apjanco 's lesson will teach you! | This lesson by @SusanGrunewald1 and @apjanco will teach to use the World Historical Gazeteer to search for and map place names. | https://doi.org/10.46430/phen0096 | X |
80 | Learn how to display a georeferenced map in @knightlab's Storymap JS in this new lesson by @ericayhayes and @mia_partlow | In this lesson, @ericayhayes and @mia_partlow teach you how display a georeferenced map in @knightlab's Storymap JS | https://doi.org/10.46430/phen0098 | |
81 | Learn how to use linear regression with @HumanitiesData | Looking to learn regression analysis? Start with this lesson on linear regression in python from @HumanitiesData | https://doi.org/10.46430/phen0099 | |
82 | Learn how to use logistic regression with @HumanitiesData | .@HumanitiesData walks us how to use python to do logistic regression | https://doi.org/10.46430/phen0100 | |
83 | Automatiza el proceso de descarga de registros de una base de datos con esta lección de @adam_crymble traducida por @Victor_Gayol y editada por Nicolás Vaughan | Aprende a utilizar Python para descargar registros de una base de datos con esta lección de @adam_crymble traducida por @Victor_Gayol y editada por Nicolás Vaughan | https://doi.org/10.46430/phes0059 | |
84 | Curious about using neural networks to explore a text corpus and even generate new text? @chntlbrouz shows you how in this new lesson | This lesson by @chntlbrouz will teach you how to use neural networks to creatively explore a large text corpus | https://doi.org/10.46430/phen0104 | X |
85 | Discover how to apply structured reading to your data analysis with this lesson from @MaxOPedersen et al. | Use this lesson by @MaxOPedersen et al to employ exploratory analyses and to find patterns in structured data. | https://doi.org/10.46430/phen0103 | |
86 | Learn how to make a webmap with R using this lesson from @lievesofgrass on Shiny - | Visualize your geospatial data on the web with @lievesofgrass's lesson on R and Shiny - | https://doi.org/10.46430/phen0105 | |
87 | Be sure to check out how to use computer vision in the humanities with this excellent lesson by @vanstriendaniel et al. | Interested in determining the performance of a machine learning model. Check out this excellent lesson by @vanstriendaniel et. al | https://doi.org/10.46430/phen0102 | |
88 | Want to learn how to work with georeferenced data and historical maps to make new visualizations? Check out this translation @LGauth19, @ericayhayes and @mia_partlow of a lesson originally authored in Spanish by @mdcs87 and Anthony Picón | In this lesson, translated into English by @LGauth19, @ericayhayes and @mia_partlow from @mdcs87 and Anthony Picón's original Spanish lesson, you can learn how to adapt historical maps and georeference data to make accurate spatial visualizations | https://doi.org/10.46430/phen0106 | |
89 | Quer saber mais sobre dados abertos vinculados? Não perca a lição traduzida por @FranciscoNabais. | Na lição traduzida por @FranciscoNabais aprenda os principais conceitos de dados abertos conectados (Linked Open Data) - URIs, ontologias, formatos RDF e consulta de gráficos SPARQL. | https://doi.org/10.46430/phpt0033 | |
90 | Des textes aux chiffres: apprenez à utiliser Python pour réaliser des comptages sur des textes avec cette leçon du Programming Historian en français | Apprenez à compter les occurrences de mots dans des textes avec Python grâce à ce tutoriel du Programming Historian en français ! | https://doi.org/10.46430/phfr0025 | |
91 | Tired of command line interfaces? Learn graphical user interface design and programming with this lesson by Christopher Goodwin | Want to share your Python scripts more widely with colleagues of all computing skill levels? Check out this lesson by Christopher Goodwin: | https://doi.org/10.46430/phen0107 | |
92 | Learn how to combine the powers of Google Vision and Tesseract to achieve even more accurate OCR results with @IsaGribomont’s lesson | Want to achieve more accurate OCR results? @IsaGribomont’s lesson shows you how to combine Google Vision with Tesseract | https://doi.org/10.46430/phen0109 | |
93 | Curious about how neural networks work and how to use them for image classification? @nabsiddiqui shows you how in this lesson. | This lesson by @nabsiddiqui will teach you how to create deep convolutional neural networks (CNNs) for image classification. | https://doi.org/10.46430/phen0108 | |
94 | Discover sentiment analysis of non-English texts with @Adam_Crymble’s translation of @jenniferisasi’s lesson. | @Adam_Crymble’s translation of @jenniferisasi’s lesson teaches you how to use the R package 'syuzhet' to analyse patterns of sentiment in English or non-English texts. | https://doi.org/10.46430/phen0110 | |
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