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This book is written to help you master the basic concepts of Python coding and how you can utilize your coding skills to analyze a large volume of data and uncover valuable information that can otherwise be easily lost in the volume. It was designed primarily to emphasize the readability of the programming code, and its syntax enables programmers to convey ideas using fewer lines of code. Python programming language increases the speed of operation while allowing for higher efficiency in creating system integrations.
Some of the highlights of the book include:
- Key features and advantages of learning to code Python as well as the history of how Python programming was created
- Step-by-step instructions on how to install Python on your operating systems (Windows, Mac, and Linux)
- The concept of Python data types is presented in exquisite detail with various examples of each data type
- How to create Python variables
- Comprehensive lists of a variety of built-in functions and methods supported by Python
- Basic concepts of writing efficient and effective Python codes, focusing on various programming elements
- How to write if and else statements to retrieve desired information from your data
- For and While loops are explained with explicit details in an easy-to-understand language
- Basic concepts of big data analysis and machine learning algorithms
- A brief overview of various renowned machine learning libraries
All the concepts are explained with standard Python coding syntax supported with relevant examples and followed by exercises to help you test and verify your understanding of those concepts. Finally, as an added bonus you will learn some Python tips and tricks to take your machine learning programming game to the next level. Remember, knowledge is power, and with the great power you will gather from this book, you will be armed to make sound personal and professional technological choices. Your Python programming skillset will improve drastically, and you will be poised to develop your very own machine learning model!
Don't you think it can be that easy? If you really want to have proof of all this, don't waste any more time!
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