Organize Scientific Literature with Mendeley and Python

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This application discusses using Mendeley to organize scientific literature by looking for metadata in downloaded PDF documents and integrating with MS Word or BibTex. It also explores Python's capabilities for data analysis and visualization with libraries like Plotly, showcasing examples of achievements in Python such as data analysis and automated plotting.

  • Mendeley
  • Python
  • Scientific Literature
  • Data Analysis
  • Visualization

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Presentation Transcript


  1. Cm N v Konzulens N v

  2. Szakdolgozat cme [Diamintba szerkeszteni!] Tartalom Oldal T ma bemutat sa, c lok [oldalsz m] Met dus [oldalsz m] Fejleszt si folyamat [oldalsz m] Eredm nyek [oldalsz m] rt kel s [oldalsz m] sszegz s [oldalsz m] N v [Diamint ba szerkeszteni!] [Diamint ba szerkeszteni!] 2022. h nap, nap Szakdolgozat prezent ci

  3. Szakdolgozat cme [Diamintba szerkeszteni!] Ez egy minta oldal, minta sz veggel s k ppel! This application helps you organize scientific literature. Mendeley looks for metadata in downloaded PDF documents, identifies them and gathers all necessary information for a correctly formulated citation. Mendeley can integrate with MS Word or BibTex, which makes creating documents with numerous citations e.g. a review article a much easier task. User interface of Mendeley Desktop app N v [Diamint ba szerkeszteni!] [Diamint ba szerkeszteni!] 2022. h nap, nap Szakdolgozat prezent ci

  4. Szakdolgozat cme [Diamintba szerkeszteni!] Ez egy minta oldal, minta sz veggel s k ppel. Python is an easy-to-learn programing language with numerous libraries for maths, statistics, advanced data analysis and data visualization. Plotly is one of the latter. There is a steeper learning curve as opposed to MATLAB, but Python is more versatile, open source and has an enormous user community and various freely available learning resources, tutorials and user forums all around the globe (and the web). Some examples of what I ve achieved in Python: RPi4 OBD2 + GPS logger Multidimensional data analysis Automated plotting of results N v [Diamint ba szerkeszteni!] [Diamint ba szerkeszteni!] 2022. h nap, nap Szakdolgozat prezent ci

  5. Ksznm a figyelmet!

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