000 | 03468nam a22002417a 4500 | ||
---|---|---|---|
999 |
_c2030 _d2030 |
||
003 | OSt | ||
005 | 20181205123837.0 | ||
008 | 181205b ||||| |||| 00| 0 eng d | ||
020 | _a978-93-5110-201-4 | ||
028 |
_bAllied Informatics, Jaipur _c5670 _d27/11/2018 _q2018-19 |
||
040 |
_aBSDU _bEnglish _cBSDU |
||
082 |
_a005.133 _bLUT |
||
100 | _aLutz, Mark | ||
245 | _aLearning Python | ||
250 | _b5th | ||
260 |
_aChennai _bO'Reilly Media Inc. _c2018 |
||
300 | _a1540 | ||
500 | _aGet a comprehensive, in-depth introduction to the core Python language with this hands-on book. Based on author Mark Lutz’s popular training course, this updated fifth edition will help you quickly write efficient, high-quality code with Python. It’s an ideal way to begin, whether you’re new to programming or a professional developer versed in other languages. Complete with quizzes, exercises, and helpful illustrations, this easy-to-follow, self-paced tutorial gets you started with both Python 2.7 and 3.3— the latest releases in the 3.X and 2.X lines—plus all other releases in common use today. You’ll also learn some advanced language features that recently have become more common in Python code. Explore Python’s major built-in object types such as numbers, lists, and dictionaries Create and process objects with Python statements, and learn Python’s general syntax model Use functions to avoid code redundancy and package code for reuse Organize statements, functions, and other tools into larger components with modules Dive into classes: Python’s object-oriented programming tool for structuring code Write large programs with Python’s exception-handling model and development tools Learn advanced Python tools, including decorators, descriptors, meta classes, and Unicode processing | ||
504 | _aContents: Part I Getting Started 1. A Python Q & A Session 2. How Python Runs Programs 3. How You Run Programs Part II Types and Operations 4. Introducing Python Object Types 5. Numeric Types 6. The Dynamic Typing Interlude 7. String Fundamentals 8. Lists and Dictionaries 9. Tuples, Files, and Everything Else Part III Statements and Syntax 10. Introducing Python Statements 11. Assignments, Expressions, and Prints 12. If Tests and Syntax Rules 13. While and for Loops 14. Iterations and Comprehensions 15. The Documentation Interlude Part IV Functions and Generators 16. Function Basics 17. Scopes 18. Arguments 19. Advanced Function Topics 20. Comprehensions and Generations 21. The Benchmarking Interlude Part V Modules and Packages 22. Modules: The Big Picture 23. Module Coding Basics 24. Module Packages 25. Advanced Module Topics Part VI Classes and OOP 26. OOP: The Big Picture 27. Class Coding Basics 28. A More Realistic Example 29. Class Coding Details 30. Operator Overloading 31. Designing with Classes 32. Advanced Class Topics Part VII Exceptions and Tools 33. Exception Basics 34. Exception Coding Details 35. Exception Objects 36. Designing with Exceptions Part VIII Advanced Topics 37. Unicode and Byte Strings 38. Managed Attributes 39. Decorators 40. Metaclasses 41. All Good Things Part IX Appendixes A. Installation and Configuration B. The Python 3.3 Windows Launcher C. Python Changes and This Book D. Solutions to End-Of-Part Exercises | ||
650 | _aComputer Science Engineering | ||
650 | _aProgramming | ||
942 |
_2ddc _cBK |