Hello everyone, We're thrilled to announce the release of DataLab v0.12! https://datalab-platform.github.io
DataLab is an open-source platform for scientific and technical data processing and visualization, based on NumPy, SciPy, ... and Qt. Once again, this release is the result of the feedback and contributions of our early adopters. We're grateful for your support and look forward to your continued insights. 💥 New Features: - New tour (when starting DataLab for the first time) and demo features. - New "Text file import assistant" feature for easily importing data from arbitrary text files. - New statistics calculations, intensity profile graphical features, ... 🚀 New Binder environment to test DataLab online without installing anything: https://mybinder.org/v2/gh/DataLab-Platform/DataLab/binder-environments?urlpath=git-pull%3Frepo%3Dhttps%253A%252F%252Fgithub.com%252FDataLab-Platform%252FDataLab%26urlpath%3Ddesktop%252F%26branch%3Dbinder-environments 📚 Documentation: - New text tutorials are available: "Measuring Laser Beam Size", "DataLab and Spyder: a perfect match" - New "Contributing" section explaining how to contribute to DataLab, whether you are a developer or not - New "Macros" section explaining how to create and use macros in DataLab 💡 You have a project or a use case in mind? (we can even write a tutorial for you...) You want to contribute? We'd love to hear from you! So please, don't hesitate to contact us or to open an issue ( https://github.com/Codra-Ingenierie-Informatique/DataLab/issues/new/choose) on our GitHub project for any request or question. Thank you for taking the time to read my announcement. Looking forward to your thoughts. Best, Pierre Raybaut
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