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Core Python Programming is a textbook on the Python programming language, written by Wesley J. Chun. The first edition of the book was released on December 14, 2000. [1] The second edition was released several years later on September 18, 2006. [2] Core Python Programming is mainly targeted at higher education students and IT professionals. [3]
A statement of work (SOW) is a document routinely employed in the field of project management. It is the narrative description of a project's work requirement. [1]: 426 It defines project-specific activities, deliverables and timelines for a vendor providing services to the client. The SOW typically also includes detailed requirements and ...
Requirements analysis is critical to the success or failure of a systems or software project. [3] The requirements should be documented, actionable, measurable, testable, [4] traceable, [4] related to identified business needs or opportunities, and defined to a level of detail sufficient for system design.
The magazine said that the book was not easy to read, but that it would expose experienced programmers to both old and new topics. [ 8 ] A review of SICP as an undergraduate textbook by Philip Wadler noted the weaknesses of the Scheme language as an introductory language for a computer science course. [ 9 ]
Python is a high-level, general-purpose programming language. Its design philosophy emphasizes code readability with the use of significant indentation. [33] Python is dynamically type-checked and garbage-collected. It supports multiple programming paradigms, including structured (particularly procedural), object-oriented and functional ...
The C Programming Language; C Traps and Pitfalls; C, The Complete Reference; Code: The Hidden Language of Computer Hardware and Software; Coders at Work; A Commentary on the UNIX Operating System; Concepts, Techniques, and Models of Computer Programming; Core Python Programming
Pandas (styled as pandas) is a software library written for the Python programming language for data manipulation and analysis.In particular, it offers data structures and operations for manipulating numerical tables and time series.
scikit-learn (formerly scikits.learn and also known as sklearn) is a free and open-source machine learning library for the Python programming language. [3] It features various classification, regression and clustering algorithms including support-vector machines, random forests, gradient boosting, k-means and DBSCAN, and is designed to interoperate with the Python numerical and scientific ...