Why You Should Read ‘Python Data Science Handbook: Essential Tools for Working with Data’
Data science is arguably the most sought after career option of the 21st century. There is a massive demand for proficient data scientists in the market and one thing that’ll you need to master, should you want to become a data scientist is the programming language Python. Python is crucial to data science and data scientists use python to carry out high-order responsibilities and to deliver key business insights. A book that’ll help you in your journey to becoming familiar with python is Python Data Science Handbook: Essential Tools for Working with Data by Jake Vanderplas. This article takes a look at the book and gives you an essential review and reason as to why you should read it.
Python Data Science Handbook: Essential Tools for Working with Data – A Review
Python Data Science Handbook: Essential Tools for Working with Data is a reference manual and learning guide written by Jake Vanderplas that teaches readers methods of statistical analysis that are key to data science. This book will give you the tools needed to do exploratory data analysis using the three most well-known Python Libraries for this: Pandas, Numpy, and Matplotlib. The book comes with almost no pre-requisite to start with, although having a background in programming and statistics can help you get used to it faster.
Python Data Science Handbook: Essential Tools for Working with Data is an amazing book to get started with the main python libraries and to also get introduced to machine learning principles. You will learn to manipulate, transform, and clean data, visualize it in meaningful ways and learn how to decipher the data in order to give answers to business questions or to build your own Machine Learning models. The author does an excellent job covering broad terrain with enough detail that you are able to apply it to your problems.
The book is not particularly a long read and has 5 chapters in it –
- IPython – Beyond Normal Python
- Introduction to Numpy
- Data Manipulation with Pandas
- Visualisation with Matplotlib
- Machine Learning
Python Data Science Handbook: Essential Tools for Working with Data is a must-read for those who have just ventured into the world of data science. This book no-nonsense book that goes deep into material that is relevant and important to do data science in Python. Not only does it give you a foothold to start with Python in data science, but it can also act as a companion well into your professional career and even further. This book is well suited to address the needs of the entire Data Science Process, from getting the data, exploring the data, modeling the data, and communicating/visualizing the results.
Python is absolutely crucial weapon in the arsenal of a remarkable data scientist. And Python Data Science Handbook: Essential Tools for Working with Data is a book that’ll help you with just that. We at Praxis have a proud history of training the next generation of well-endowed data scientists with a carefully curated pedagogy in our renowned Post Graduate Program in Data Science. This program, which is amongst the top data science courses in Bangalore and top data science courses in Kolkata is curated in a way to equip you with all the tools necessary to kickstart your career as a data scientist. Our astounding placement records are just an added bonus to what we believe is the right first step for you to start your new career.
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