This book contains proven steps and strategies on how to understand and completely learn the language Python. But like other tools and languages the key to learn it is not in just reading the book but to get hands on experience by practicing the code that is given in examples as well as practice on your own. We have given many examples, feel free to change them as you like. The more you practice the more you will learn. Think of new ideas that can enhance your code and make it more useful. For example, if you have been given an example that will take two numbers and find their sum, try to write code for the same function of three numbers or more.
Another important thing that readers should know is that this book is aimed at beginners, but it accommodates intermediate and more advanced programmers. I assume three types of readers would be interested in this book. Those who have no knowledge about programming, and this is their first venture in the world of software development. Secondly those who know programming and want to increase their software development skills by learning a new language, Python.
And thirdly who understand Python and have worked with it and are interested in the book just to increase their knowledge of the language.
Some of the topics that we are going to explore in this guidebook when it comes to advanced Python for Data Analysis will include:
Here it is highly recommended to the readers that they search for other online resources to clarify and strengthen their concepts. This advanced book contains all of the information that you need in order to master and handle Python properly.
