Apache Parquet files are a popular columnar storage format used by data scientists and anyone using the Hadoop ecosystem. It was developed to be very efficient in terms of compression and encoding. Check out their documentation if you want to know all the details about how Parquet files work. You can read and write Parquet […]
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In this tutorial, I will talk about some of the many different data science packages you can use in Python. Packages mentioned: pandas, matplotlib, numpy, scipy, mahotas, OpenCV, Keras, PyTorch, Tensorflow, Theano, Bokeh, Plotly, Scikit-learn, Scikit-image
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This week we welcome Déborah Mesquita as our PyDev of the Week! Déborah is a content writer at Real Python. You can see what she is up to over on her website or by checking out her GitHub profile. Let’s spend some time getting to know Déborah better! Can you tell us a little about
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Anaconda put out a press release this morning that states the following: “Anaconda, the most popular Python data science platform provider, today introduced the Anaconda Data Science Certification, giving data scientists a way to verify their proficiency, and organizations an independent standard for qualifying current and prospective data science experts.” Anaconda is in a non-exclusive
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Anaconda released a statement that they are partnering with Microsoft to “deliver Python-powered machine learning”. Anaconda is a data science distribution of the Python programming language. If you go check out the statement, you will find that Microsoft is specifically planning to “embed Anaconda into Azure Machine Learning, Visual Studio and SQL Server”. I used
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