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Discover essential Python techniques and software development principles for data processing in this EuroPython 2016 conference talk. Learn powerful Python constructs useful for data tasks, including collections module, generators, and iterators. Explore general software development concepts like SOLID, DRY, and KISS to understand the rationale behind software design decisions. Gain insights into overlooked Python idioms, standard libraries, and best practices that bridge the gap between data science experimentation and integration with technical environments. Enhance your data processing skills and project management capabilities in this 33-minute presentation tailored for those transitioning from scientific Python to broader software development.