Python for Data Analysis: Data Wrangling with pandas, NumPy, and Jupyter

I'm half way through the book and really enjoying it. Excellent book to start using pandas and other Python libraries for data analysis. Very well written and easy to follow. Great buy. Arrived in good condition.

If you need to learn 'data wrangling' and Python, then this book is right. I was amazed at how extensive the coverage of information in this book. I am still learning Python and refer to this book. Plenty of examples and exercises. I am a beginner and well able to use it. It can also be used by people with higher skills or refreshing for advanced users.

If you want to learn python for data analysis and data science this book let's you do it the way I prefer - hands on! You learn it because you do it. Well written.

I have the second and third edition, and they’re both good for reference. I do wish there was more explanation but a good starting point and tips and notes.

Instructional, as expected. 5/5 stars.

In the ever-evolving world of data analysis, "Python for Data Analysis: Data Wrangling with pandas, NumPy, and Jupyter" shines as a beacon for beginners and experienced data enthusiasts alike. It is a testament to the book's caliber that it manages to comprehensively cover Python's powerful data manipulation tools in such an approachable manner.The book's primary strength lies in its thorough exploration of data wrangling. For the uninitiated, data wrangling is the art of maneuvering raw data into a more digestible form for analysis, and this book nails it. By delving deep into the intricacies of libraries like pandas and NumPyWhat's particularly commendable is the balance between theory and practice. While it's brimming with technical details and explanations, it never feels overwhelming. Instead, readers are constantly engaged with practical examples, ensuring that learning is both meaningful and applicable.Whether you're a beginner stepping into the world of data or a seasoned pro, this book offers invaluable insights and skills that will enhance your data-wrangling journey.

Great content with a lot examples.

No doubt the author has knowledge about the subject. He's a respectable professional in the area and the creator of the pandas package. But once more in life, we see that knowing a subject doesn't give you the tools for teaching it. If you, like me, have learned from other resources about python, numpy, pandas, and the rest of the items touched on in the book, then, you occasionally will add some little tip that perhaps you didn't pay attention to before.Also, the way the author explains the different uses of the packages is not very clear. I found myself reading the book and jumping all the time to Google or other sources to clarify some things or for simpler examples that enlightened me to return back to the examples in the book. I would like to rate the author with five stars and the book with less than that. But, it's not possible so I rated it with three stars.