Reviews
On Nov 9 Daniel Molnar wrote: Handle with care  I will stick to pandas tutorials presented in IPython notebooks.
Mea culpa, but I was waiting for THE Pandas book given its author. I believed that pandas deserve a good intro book with decently built examples and learning curve, but I was wrong. This book is a very uneven kind of batched together webreference chapters. Most of the material is not meant for beginners sometimes even can get kind of scary. No pun intended, it smells like good intent, bad execution for me. As a starter Chapter 2 contained non-working code snippets while Chapter 3 exposed such inner workings that could confuse readers. Why is this here, I mean all editors went on strike? Truth to be told the 2nd edition fixed some of the most annoying bugs. Strictly appendix stuff is edited in as the main course. Handle with care  I will stick to pandas tutorials presented in IPython notebooks. Full Review >
Rating:
3.0
On May 9 Marco Dinacci wrote: Good pandas tutorial/reference
The book is essentially a reference on how to use the pandas Python library.It is well written and can be used both as a tutorial for learning about a particular aspect of the library and as a reference... Full Review >
Rating:
4.0
On Jan 19 Peter Georgeson wrote:
Full Review >
Rating:
4.0
On Dec 6 Mikael Puhakka wrote:
Full Review >
Rating:
4.0
On Dec 1 Tuomo Kalliokoski wrote:
Full Review >
Rating:
3.0
On Nov 30 Juan Jose de Leon wrote:
Python for Data Analysis is a book about the parties and Python libraries needed to resolve many problems of data analysis and statistics. Full Review >
Rating:
4.0
On Nov 19 Mat Powell wrote: Python for Data Analysis
A great book on statistical analysis with Python utilizing big-data. I was skeptical about this title at first (I’m not much of a mathematician at all) I was overall pleased with the experience and flow of this book. Mostly focusing on Pandas, this book also cameos IPython and Num-Py. Recommended for anyone who’s doing some serious number crunching or analysis with large datasets. Full Review >
Rating:
4.0
On Nov 11 Kenta Hood wrote:
Overall, I would say this is a great reference to have if you're going to be analyzing a lot of data and need to use Python. Full Review >
Rating:
4.0
On Oct 22 Rob Friesel wrote: dive into pandas and NumPy
Wes McKinney's Python for Data Analysis (O'Reilly, 2012) is a tour pandas and NumPy (mostly pandas) for folks looking to crunch big-ish data with Python. The target audience is not Pythonistas, but rather scientists, educators, statisticians, financial analysts, and the rest of the non-programmer cohort that is finding more and more these days that it needs to do a little bit-sifting to get the rest of their jobs done. Full Review >
Rating:
3.0
