the book covers some more key concepts such as feature engineering and data preparation. Here, you’ll get to revisit some of the key classes and functions of scikit-learn, the main Python ...

Key Takeaways Top data analytics books offer insights for both beginners and seasoned professionals.These reads cover essential skills, from basic concepts to a ...

All this said, don’t expect Python for Data Analysis to be a very fun book. It can get boring because it just discusses working with data (which happens to be the most boring part of machine ...

This book cuts through the noise to help you deliver results. Python has earned a name as a go-to language for working quickly and conveniently with data, performing data analysis, and getting ...

Who is your target audience? My book is about pandas – you simply can’t do data science in Python without pandas – and it covers data analysis and machine learning. Since data skills have ...

even though Python is very flexible in how objects are assigned and used. The kind of programs this book teaches readers to write are useful for PCs to record physical data and input from a range ...

In the world of data cleaning, two approaches often stand out: Python, the go-to for coding enthusiasts, and Excel’s Power Query, a code-free, user-friendly alternative. Both have their merits ...

Now imagine combining Excel’s familiar interface with the analytical power of Python—suddenly, your workflow transforms. With this integration, you can connect to live external data sources ...

Invent Your Own Computer Games with Python is pretty close to the ultimate how-to-learn python book. First, it combines an easy ramp up from expecting you to know virtually nothing to having you ...

It is very common to analyze time series data, and the date and time stamp values can come in many different formats. Python supports converting from dates to strings and back. For example ...