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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 FeaturesTurn your designs into working software by learning the Python syntaxWrite robust code with a solid understanding of Python data structuresUnderstand when to use the functional or the OOP approachBook 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
Learn Python Programming - Second Edition by Fabrizio RomanoPython Data Structures and Algorithms by Benjamin BakaPython 3 Object-Oriented Programming by Dusty PhillipsWhat you will learnUse data structures and control flow to write codeUse functions to bundle together a sequence of instructionsImplement objects in Python by creating classes and defining methodsDesign public interfaces using abstraction, encapsulation and information hidingRaise, define, and manipulate exceptions using special error objectsCreate bulletproof and reliable software by writing unit testsLearn the common programming patterns and algorithms used in PythonWho 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 ContentsA Gentle Introduction to PythonBuilt-in Data TypesIterating and Making DecisionsFunctions, the Building Blocks of CodeSaving Time and MemoryFiles and Data PersistencePrinciples of Algorithm DesignLists and Pointer StructuresStacks and QueuesTreesHashing and Symbol TablesGraphs and Other AlgorithmsSearchingSortingSelection AlgorithmsDesign Techniques and StrategiesObject-Oriented DesignObjects in PythonWhen Objects Are AlikeExpecting the UnexpectedWhen to Use Object-Oriented ProgrammingPython Object-Oriented Short
Key FeaturesTurn your designs into working software by learning the Python syntaxWrite robust code with a solid understanding of Python data structuresUnderstand when to use the functional or the OOP approachBook 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
Learn Python Programming - Second Edition by Fabrizio RomanoPython Data Structures and Algorithms by Benjamin BakaPython 3 Object-Oriented Programming by Dusty PhillipsWhat you will learnUse data structures and control flow to write codeUse functions to bundle together a sequence of instructionsImplement objects in Python by creating classes and defining methodsDesign public interfaces using abstraction, encapsulation and information hidingRaise, define, and manipulate exceptions using special error objectsCreate bulletproof and reliable software by writing unit testsLearn the common programming patterns and algorithms used in PythonWho 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 ContentsA Gentle Introduction to PythonBuilt-in Data TypesIterating and Making DecisionsFunctions, the Building Blocks of CodeSaving Time and MemoryFiles and Data PersistencePrinciples of Algorithm DesignLists and Pointer StructuresStacks and QueuesTreesHashing and Symbol TablesGraphs and Other AlgorithmsSearchingSortingSelection AlgorithmsDesign Techniques and StrategiesObject-Oriented DesignObjects in PythonWhen Objects Are AlikeExpecting the UnexpectedWhen to Use Object-Oriented ProgrammingPython Object-Oriented Short
724 pages, Kindle Edition
Published February 27, 2019
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