Jason Morris - Hands-On Data Science with the Command Line: Automate Everyday Data Science Tasks Using Command-Line Tools

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Jason Morris is a systems and research engineer with over 19 years of experience in system architecture, research engineering, and large data analysis. His primary focus is machine learning with TensorFlow, CUDA, and Apache Spark.

Jason is also a speaker and a consultant on designing large-scale architectures, implementing best security practices on the cloud, creating near real-time image detection analytics with deep learning, and developing serverless architectures to aid in ETL. His most recent roles include solution architect, big data engineer, big data specialist, and instructor at Amazon Web Services. He is currently the Chief Technology Officer of Next Rev Technologies, and his favorite command-line program is netcat.

Chris McCubbin is a data scientist and software developer with 20 years' experience in developing complex systems and analytics. He co-founded the successful big data security start-up Sqrrl, since acquired by Amazon. He has also developed smart swarming systems for drones, social network analysis systems in MapReduce, and big data security analytic platforms using the Accumulo and Spark Apache projects . He has been using the Unix command line, starting on IRIX platforms in college, and his favorite command-line program is find.

Raymond Page is a computer engineer specializing in site reliability. His experience with embedded development engendered a passion for removing the pervasive bloat from web technologies and cloud computing. His favorite command is cat.

Chankey Pathak is a data scientist from India. He's the author of the Python API for high frequency trading of Morgan Stanley. He has worked with Citadel, Sophos, and Proofpoint in the past. He's also well known in the Perl community for his contributions. He is an open source contributor and loves Linux.

Tom Swindell is a systems engineer with 15 years of experience in software architecture, data analysis, and algorithms. He works for Net Vision Consultants, performing a mix of systems engineering, Python development, and system administration.

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In this book, we introduce the power of the command line using the bash shell. Bash is the most widely accepted shell, and is found on everything from toasters to high-performance computers. We start with the basics and quickly move to some more advanced skills throughout the book.

Hands-On Data Science with the Command Line provides useful tips and tricks on how to use the command line for everyday data problems. This book is aimed for the reader that has little to no command-line experience but has worked in the field of computer science and/or has experience with modern data science problems.