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python for data science
Cód:
491_9783033083080

Por: R$ 125,14ou X de

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If you are aspiring to be one of the recognized programmers using Python programming language and understand more on data management and analysis, then this is your book. The chapters in this book highlight some of the crucial statements in Python programming as well as the fundamental basics before going ahead and creating your first program. With computer programming becoming the thing of the future, most computer users wish to understand different values, codes and execution of these characters take place. As such, this book is the best choice for you.  It does not matter how deep you are with programming or if you are venturing into Python programming. This book comprises of chapters, which provide a systematic guide on how to meander through the basics of Python programming and reach the depths of punching your first codes. That said, the first chapter describes the basics, which are introductory part of understanding Python and learning about its incorporation, versions and acquiring it in your device. With different operating systems available today, downloading, installation and updating the software may become challenging, but the book provides a reliable tutorial to achieve this. Similarly, the next chapter highlights variables typically used in Python to facilitate its operations. Python, like most programming languages, utilizes different variables to run its functions efficiently and obtain the required information. As one end, this chapter begins with an introduction to Python variables and goes ahead detailing the different types essential for the package. At one point, the section allows you to understand different other terms related to Python variables and creates a relation between the two for a more in-depth understanding of how these operations work. With the need to store data, codes, and values essential for running programs, Python, therefore, depends on variables for naming and storage of these items. In the last chapter
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