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Source channel @githubtrending · Post #15248 · Oct 25
#java#awesome#backend#computer_science#distributed_systems#high_level_design#hld#interview#interview_questions#scalability#system_design You can learn important system design concepts for free, covering topics like scalability, availability, CAP theorem, caching, databases, APIs, microservices, and distributed systems. This resource offers clear explanations, interview preparation guides, and practical design problems from easy to hard, helping you understand how to build reliable, scalable software systems. It also provides links to courses, books, newsletters, and videos to deepen your knowledge. Using these materials can improve your skills for system design interviews and real-world software architecture, making you more confident and effective in designing complex systems. https://github.com/ashishps1/awesome-system-design-resources
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@djangoproject · Post #316 · 04/28/2017, 06:09 AM
https://github.com/blissnd/easyxls Convert any #spreadsheet into a Python internal #dict/#array data structure, for easy processing. Can also handle pivot tables. For pivot table usage, header_row_start & header_col_start need to be set equal to the top left corner of the pivot table => header_row_start=8, header_col_start='c' in the included example. Column IDs must always be lowercase chars in quotes, e.g. 'a'.
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@djangoproject · Post #129 · 08/31/2016, 03:36 PM
https://pypi.python.org/pypi/numpy #NumPy is a general-purpose #array-processing package designed to efficiently manipulate large #multi-dimensional arrays of arbitrary records without sacrificing too much speed for small multi-dimensional #arrays. NumPy is built on the #Numeric code base and adds features introduced by #numarray as well as an extended #C-API and the ability to create arrays of arbitrary type which also makes NumPy suitable for interfacing with general-purpose #data-base applications.