دانلود کتاب Getting Started with Python: Understand key data structures and use Python in object-oriented programming

**Harness the power of Python objects and data structures to implement algorithms for analyzing your data and efficiently extracting information**## Key Features* Turn your designs into working software by learning the Python syntax* Write robust code with a solid understanding of Python data structures* Understand when to use the functional or the OOP approach## Book DescriptionThis Learning Path helps you get comfortable with the world of Python. It starts with a thorough and practical introduction to Python. You'll quickly start writing programs, building websites, and working with data by harnessing Python's renowned data science libraries. With the power of linked lists, binary searches, and sorting algorithms, you'll easily create complex data structures, such as graphs, stacks, and queues. After understanding cooperative inheritance, you'll expertly raise, handle, and manipulate exceptions. You will effortlessly integrate the object-oriented and not-so-object-oriented aspects of Python, and create maintainable applications using higher level design patterns. Once you've covered core topics, you'll understand the joy of unit testing and just how easy it is to create unit tests. By the end of this Learning Path, you will have built components that are easy to understand, debug, and can be used across different applications. This Learning Path includes content from the following Packt products:* Learn Python Programming - Second Edition by Fabrizio Romano* Python Data Structures and Algorithms by Benjamin Baka* Python 3 Object-Oriented Programming by Dusty Phillips## What you will learn* Use data structures and control flow to write code* Use functions to bundle together a sequence of instructions* Implement objects in Python by creating classes and defining methods* Design public interfaces using abstraction, encapsulation and information hiding* Raise, define, and manipulate exceptions using special error objects* Create bulletproof and reliable software by writing unit tests* Learn the common programming patterns and algorithms used in Python## Who this book is forIf you are relatively new to coding and want to write scripts or programs to accomplish tasks using Python, or if you are an object-oriented programmer for other languages and seeking a leg up in the world of Python, then this Learning Path is for you. Though not essential, it will help you to have basic knowledge of programming and OOP.## Table of Contents2. A Gentle Introduction to Python4. Built-in Data Types6. Iterating and Making Decisions8. Functions, the Building Blocks of Code10. Saving Time and Memory12. Files and Data Persistence14. Principles of Algorithm Design16. Lists and Pointer Structures18. Stacks and Queues20. Trees22. Hashing and Symbol Tables24. Graphs and Other Algorithms26. Searching28. Sorting30. Selection Algorithms32. Design Techniques and Strategies34. Object-Oriented Design36. Objects in Python38. When Objects Are Alike40. Expecting the Unexpected42. When to Use Object-Oriented Programming44. Python Object-Oriented Shortcuts46. Strings and Serialization48. The Iterator Pattern50. Python Design Patterns I52. Python Design Patterns II54. Testing Object-Oriented Programs