You will learn how to do simple Python-based visualization with examples with progressive complexity of key features. The book starts with Matplotlib and explores the power of data visualization with ...

We will work on practical projects and real-world examples to equip us with the skills to turn raw data into informative visuals using Python. Upon completion, we will master Python-based data ...

Two graphics libraries are in common use in Python: Matplotlib and Seaborn. Seaborn is an extension of Matplotlib that addresses a few specific graphics challenges, including histograms and boxplots.

Comprehensive coverage of Python 3.12 with updated recipes and techniques; Provides practical examples and detailed explanations to solve real-world problems efficiently; Book Description Python is ...

Starting with the essential statistical and data analysis fundamentals using Python, you’ll perform complex data analysis and modeling, data manipulation, data cleaning, and data visualization using ...

Python and Excel can only really talk to each other through limited functions—xl() and =PY()—that can only return code results, not macros, VBA code, or other data, Microsoft claims.

Though more complicated as it requires programming knowledge, Python allows you to perform any manipulation, transformation, and visualization of your data. It is ideal for data scientists.