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SUMMARY:Web Scraping with Python's Beautiful Soup
DESCRIPTION:This workshop will introduce attendees to techniques for scraping information from the web using Python’s Beautiful Soup (bs4) toolkit. We will begin with a basic overview of the “anatomy” or structure of a webpage. Students will then learn how to write a script for extracting textual data from websites like Reddit and organizing it into spreadsheets. The second half of the workshop will explore how to use Python’s Pandas library to clean and analyze your data. In addition to technical skills\, students are encouraged to engage with critical questions like: What is web scraping for and what can we\, as researchers\, learn from publicly available data? What are the potential ethical and legal challenges of data harvesting\, and how do we do it responsibly?
URL:https://ccdhhn.ca/workshop/web-scraping-with-pythons-beautiful-soup/
LOCATION:McMaster University\, 1280 Main St W\, Hamilton\, Ontario\, L8S 4L8\, Canada
CATEGORIES:1-4 hour workshop
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DTSTART;TZID=America/Halifax:20240215T000000
DTEND;TZID=America/Halifax:20240215T235959
DTSTAMP:20260405T020229
CREATED:20240118T023035Z
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SUMMARY:Introduction to interactive coding notebook environments: Jupyter & Colab | Introduction aux environnements de codage interactif: Jupyter et Colab
DESCRIPTION:Date: 15 February 2024 \n\n\n\nUsing a single environment for all stages of your research project can help you organize your work. To this end\, our team recommends JupyterLab\, a software that logs code\, text\, equations\, graphs and visualizations in a single document. This tool can also execute the lines of a program one at a time and thus allow their respective effects to be accurately identified. This training will equip you to take advantage of JupyterLab’s graphical interface and its key features. \n\n\n\nUtiliser un seul environnement pour l’ensemble des étapes de votre projet de recherche peut grandement faciliter l’organisation de votre travail. À cette fin\, notre équipe recommande JupyterLab\, un logiciel qui consigne le code\, le texte\, les équations\, les graphiques et les visualisations dans un même document. Cet outil peut aussi exécuter une à la fois les lignes d’un programme et ainsi permettre de cerner avec justesse leurs effets respectifs. Cette formation vous outillera pour mettre à profit l’interface graphique de JupyterLab et ses fonctionnalités phares. \n\n\n\nLed by / Presenté par: Elie Haber (EN); Charles Coulombe (FR) \n\n\n\nThis event is part of the Digital Research Alliance of Canada’s HSS (Humanities and Social Sciences) Series 2024.  For more information\, visit: https://hss24.netlify.app/. \n\n\n\nCet événement fait partie de l’École hivernale des SHS 2024 (Alliance de recherche numérique du Canada).  Pour plus d’informations\, visitez: https://hss24.netlify.app/.
URL:https://ccdhhn.ca/workshop/introduction-to-interactive-coding-notebook-environments-jupyter-colab/
LOCATION:Québec
CATEGORIES:1-4 hour workshop
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BEGIN:VEVENT
DTSTART;TZID=America/Halifax:20240215T000000
DTEND;TZID=America/Halifax:20240215T235959
DTSTAMP:20260405T020229
CREATED:20240118T023857Z
LAST-MODIFIED:20240118T032303Z
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SUMMARY:Introduction to/à R
DESCRIPTION:Date: 15 February 2024 \n\n\n\nR is a free and open-source programming language for statistical computing\, modelling\, and graphics\, with an unbeatable collection of statistical packages. It is extremely popular in some academic fields such as statistics\, biology\, bioinformatics\, data mining\, data analysis\, and linguistics. \n\n\n\nThis introductory course does not assume any prior knowledge: it will take you through the first steps of importing\, cleaning\, and visualizing your data. Along the way\, we will get familiar with R data types\, functions writing\, and control flow. \n\n\n\nCet atelier présentera un survol de ce qu’est le langage de programmation R\, à quoi il peut servir dans la recherche et qui devrait en bénéficier. Suite à l’école hivernale des SHS\, un atelier interactif avec R sera offert par Calcul Québec. \n\n\n\nLed by / Presenté par: Marie H. Burle (EN); Hélène Gingras (FR) \n\n\n\nThis event is part of the Digital Research Alliance of Canada’s HSS (Humanities and Social Sciences) Series 2024.  For more information\, visit: https://hss24.netlify.app/. \n\n\n\nCet événement fait partie de l’École hivernale des SHS 2024 (Alliance de recherche numérique du Canada).  Pour plus d’informations\, visitez: https://hss24.netlify.app/.
URL:https://ccdhhn.ca/workshop/introduction-to-r/
LOCATION:Québec
CATEGORIES:1-4 hour workshop
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BEGIN:VEVENT
DTSTART;TZID=America/Halifax:20240215T000000
DTEND;TZID=America/Halifax:20240215T235959
DTSTAMP:20260405T020229
CREATED:20240118T024210Z
LAST-MODIFIED:20240118T032259Z
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SUMMARY:Introduction to\à Python
DESCRIPTION:Date: 15 February 2024 \n\n\n\nIn this short session\, we will demo some of Python’s capabilities to researchers new to the language\, starting with multiple ways to run Python\, high-level data collections such as lists and dictionaries\, using Python for data processing and manipulation\, and data visualization. This short lecture-style course will be followed by a separate\, full-day interactive Python workshop in which we will thoroughly study all these topics through hands-on exercises. This follow-up workshop will occur in the weeks after the 2024 HSS Winter Series. \n\n\n\nDans un notebook Python\, nous verrons comment utiliser des variables\, des listes et des dictionnaires\, comment définir et appeler des fonctions et comment utiliser des bibliothèques externes. \n\n\n\nLed by / Presenté par: Alex Razoumov (EN); Mohamed Jabir (FR) \n\n\n\nThis event is part of the Digital Research Alliance of Canada’s HSS (Humanities and Social Sciences) Series 2024.  For more information\, visit: https://hss24.netlify.app/. \n\n\n\nCet événement fait partie de l’École hivernale des SHS 2024 (Alliance de recherche numérique du Canada).  Pour plus d’informations\, visitez: https://hss24.netlify.app/.
URL:https://ccdhhn.ca/workshop/introduction-to-python-2/
LOCATION:Québec
CATEGORIES:1-4 hour workshop
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