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Succeeding With Agile by Mike Cohn
Succeeding with Agile is for pragmatic software professionals who want real answers to the most difficult challenges they face in implementing Scrum. Cohn covers every facet of the transition: getting started, helping individuals transition to new roles, structuring teams, scaling up, working with a distributed team, and finally, implementing effective metrics and continuous improvement.Throughout, Cohn presents Things to Try Now sections based on his most successful advice. Complementary Objection sections reproduce typical conversations with those resisting change and offer practical guidance for addressing their concerns.Table of ContentsChapter 1 Adapting to ScrumChapter 2 Iterating Toward AgilityChapter 3 Your First ProjectsChapter 4 New RolesChapter 5 Leading a Self-Organizing TeamChapter 6 Overcoming ResistanceChapter 7 PlanningChapter 8 The Product BacklogChapter 9 SprintsChapter 10 QualityChapter 11 Scaling ScrumChapter 12 Coexisting with Other ApproachesChapter 13 Human Resource, Facilities and the PMOChapter 14 Seeing How Far You ve ComeChapter 15 Technical PracticesChapter 16 Distributed TeamsChapter 17 You're Not Done Yet
Data structure and algorithms make easy
Algorithm Design Techniques: Recursion, Backtracking, Greedy, Divide and Conquer, and Dynamic Programming Algorithm Design Techniques is a detailed, friendly guide that teaches you how to apply common algorithms to the practical problems you face every day as a programmer. What's Inside Enumeration of possible solutions for the problems. Performance trade-offs (time and space complexities) between the algorithms. Covers interview questions on data structures and algorithms. All the concepts are discussed in a lucid, easy to understand manner. Interview questions collected from the actual interviews of various software companies will help the students to be successful in their campus interviews. Python-based code samples were given the book.
