Positron is a next-generation data science IDE. It’s also an extensible, polyglot tool for writing code and exploring data.
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Positron is a next-generation data science IDE. It’s also an extensible, polyglot tool for writing code and exploring data.
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This article recommends free books which will teach you the basics of R, how to produce amazing plots, how to apply R to lots of disciplines, and how to efficiently program in R. Many of the books are open source.
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Pretzel is billed as a modern replacement for Jupyter Notebooks.
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Deep Learning is a subset of Machine Learning that uses multi-layers artificial neural networks to deliver state-of-the-art accuracy.
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Natural language processing (NLP) is a field of computer science, artificial intelligence, and computational linguistics concerned with the interactions between computers and human (natural) languages.
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Python has a fantastic range of packages to produce mesmerizing visualizations. We recommend the best free and open source Python tools.
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Cython is an optimising static compiler. This means that it can compile normal Python code without changes (with a few exceptions).
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Polynote is an experimental polyglot notebook environment. It supports mixing multiple languages in one notebook.
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The Spark Notebook is aimed at enterprise environments, providing data scientists and data engineers with an interactive web-based editor.
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BeakerX is a collection of kernels and extensions to the Jupyter interactive computing environment.
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Apache Zeppelin is a web-based notebook that enables interactive data analytics.
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nteract is a desktop-based interactive computing application that is focused on accessibility and composability.
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The Jupyter Notebook is a server-client web application to create/share documents containing live code, equations, and visualizations.
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JupyterLab is an extensible environment for interactive and reproducible computing.
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RStudio is an integrated development environment for R. RStudio combines an intuitive user interface with powerful coding tools.
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Natural language processing (NLP) is an exciting field of computer science, artificial intelligence, and computational linguistics.
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Natural language processing (NLP) is a set of techniques for using computers to detect in human language the kinds of things that humans detect automatically.
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The data science field is continuously expanding as our digitized technologies produce unprecedented volumes of information.
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Data science is an emerging, multidisciplinary field of scientific methods, processes, algorithm development and technology to extract knowledge or insights in ingenious ways from structured or unstructured data.
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This is a short introductory training session on the use of Python in data science using Jupyter, pandas library and plotnine package. We focus on a common task in data science: import a data set, manipulate its structure, and then visualise the data. We shall use Python and a Jupyter Notebook to accomplish this task.
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