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.
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.
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