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Learning data science can be hard. It can be frustrating. It can also be confusing. That’s where we come in – datagy is a site that makes learning different data science and Python skills intuitive and easy to understand.
Our in-depth guides often provide more than a handful of different ways to be able to accomplish the same thing, allowing you to tailor your approach to your own unique style!
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- Python requests: GET Request ExplainedIn this tutorial, you’ll learn how to use the Python requests library’s get method to fetch data via HTTP. The Python requests library abstracts the complexities in making… Read More »Python requests: GET Request Explained
- Python frozenset: Overview and ExamplesIn this tutorial, you’ll learn how to use the Python frozenset data structure. The frozenset in Python is often overlooked and many Python users don’t even know that… Read More »Python frozenset: Overview and Examples
- NumPy Stack: Join NumPy Arrays Along Different AxesIn this tutorial, you’ll learn how to use the NumPy stack() function to join NumPy arrays along various axes. NumPy is an essential Python library for anyone working… Read More »NumPy Stack: Join NumPy Arrays Along Different Axes
- NumPy Squeeze: Removing Dimensionality from NumPy ArraysIn this tutorial, you’ll learn how to use the NumPy squeeze() function. The np.squeeze() function allows you to remove single-dimensional entries from an array’s shape. This allows you… Read More »NumPy Squeeze: Removing Dimensionality from NumPy Arrays
- How to Normalize NumPy ArraysIn this tutorial, you’ll learn how normalize NumPy arrays, including multi-dimensional arrays. Normalization is an important skill for any data analyst or data scientist. Normalizing a vector means… Read More »How to Normalize NumPy Arrays
- Python Divmod Function & ExamplesIn this tutorial, you’ll learn how to use the Python divmod() function. The divmod() function takes two numbers are its arguments and returns their quotient and remainder. The… Read More »Python Divmod Function & Examples
- NumPy Repeat Function: Repeating NumPy ArraysIn this tutorial, you’ll learn how to use the NumPy repeat() function. The np.repeat() function is used to repeat arrays and provides significant opportunity to customize how the… Read More »NumPy Repeat Function: Repeating NumPy Arrays
- How to Create 3D Scatterplots in MatplotlibIn this tutorial, you’ll learn how to make 3D scatterplots using Matplotlib. Being able to visualize data in three dimensions can be an important step in clearly articulating… Read More »How to Create 3D Scatterplots in Matplotlib