Creating your first data science python package straight from Jupyter Notebook. Creating your first data science python package straight from Jupyter Notebook. Have you wondered how Python packages ...

The book was written and tested with Python 3.5, though other Python versions (including Python 2.7) should work in nearly all cases. The code in the book was tested with Python 3.5, though most (but ...

You’ll also be introduced to the extensive ecosystem of Python data science packages. As you progress, you’ll learn how to build data science applications in Python using FastAPI. The book also ...

As you progress, you will learn how to perform data analysis while exploring the functionalities of key data science Python packages, including pandas, SciPy, and scikit-learn. Finally, the book ...

data science, and web development. Python platforms are sets of packages and modules. A module is a set of related code, and a package is a set of modules. Developers can use Python platforms to ...

Use Python libraries—developed for Python users of all experience levels—to clean up, explore, and analyze data within the familiar, secure Excel environment. No need to install anything. Anaconda is ...

Syntax Tree Parsing and so on using Python’s most famous NLTK package. This program is useful for those looking to improve on their Python and data science skills. You will acquire the skills ...