who this book is for if you are budding data scientist or data analyst who wants to analyze and gain actionable insights from data using pythonthis book is for you programmers with some experience in python who want to enter the lucrative world of data science will also find this book to be very useful conventions in this bookyou will find number of text styles that distinguish between different kinds of information here are some examples of these styles and an explanation of their meaning code words in textdatabase table namesfolder namesfilenamesfile extensionspathnamesdummy urlsuser inputand twitter handles are shown as follows"we can measure that using the @tdpsf function from tlmfbsonfusjdt block of code is set as followsjnqpsuovnqzbtoq jnqpsuqboebtbtqe gspntlmfbsojnqpsuusff joqvu@gjmf  tqbsl%bub djfodf btu)jsftdtweg qesfbe@dtw joqvu@gjmfifbefs when we wish to draw your attention to particular part of code blockthe relevant lines or items are set in boldjnqpsuovnqzbtoq jnqpsuqboebtbtqe gspntlmfbsojnqpsuusff input_file " :/spark/datascience/pasthires csveg qesfbe@dtw joqvu@gjmfifbefs any command-line input or output is written as followsspark-submit sparkkmeans py [