Modern Python Solutions - Part 2

Basics of Classes and Objects 9 lectures 01:09:53 The Course Overview This video gives an overview of this course. Using a Class to Encapsulate Data and Processing The unifying concept behind a class definition is often captured as a summary of theresponsibilities allocated to the class. How can we do this effectively? What's a good way todesign a class? Let’s get the answers to these questions through this video. • Simulate the rolling of a dice • Seed the random number generator and create a dice object Designing Classes with Lotsof Processing How can we design a class that makes use of Python's array of sophisticated built-in collections? Let’s see it. • Define a class to calculate the Counter statistics for the number of customers arriving • Use the init method to include an object • Define the methods to calculate the mean and standard deviation Designing Classes with Little Unique Processing How can we create a class that allows us to use the object.attribute syntax instead ofobject['attribute']? This video will answer this question. • Create a stateful object with a new class • Create stateful objects using an existing class Optimizing Small Objects with _slots_ How can we create optimized classes with a fixed set of attributes? This video will show you how to do this. • Define a list of attribute names • Add the initialization method • Add a method to update the collection Using More Sophisticated Collections Python has a wide variety of built-in collections.When we fold in the standard library, we have more choices, and more decisions to make.How can we choose the right data structure for our problem? Let’s explore this. • Overview of the alternative collections • Learn how to make right decisions between a library data collection and built-in collections Extending a Collection Now, since you know to distinguishbetween a complex algorithm and a collection and how to encapsulate thealgorithm and the data into separate classes, the alternative design strategy is to extend the collection to incorporate a useful algorithm.How can we extend Python's built-in collections? Let’s do it right now! • Define a class as an extension to the built-in list class • Use different methods for additional processing Using Properties for Lazy Attributes What if we have values that are used rarely, and are very expensive to compute? What canwe do to minimize the up-front computation, and only compute values when they are trulyneeded? Let's look into it. • Define some useful helper function • Calculate the mean, sum, and standard deviation • Analyze the counter object Using Settable Properties to Update Eager Attributes What can we do if we want to use attribute-like syntax for setting a value, but we also wantto perform eager calculations? And how can we eagerly compute values from attribute changes? Let’s get the answer to these questions through this video. • Provide a method for gettable and settable attributes • Import the deque class • Initialize the queue in the init method Basics of Classes and Objects. 9 lectures 01:09:53 The Course Overview This video gives an overview of this course. Using a Class to Encapsulate Data and Processing The unifying concept behind a class definition is often captured as a summary of theresponsibilities allocated to the class. How can we do this effectively? What's a good way todesign a class? Let’s get the answers to these questions through this video. • Simulate the rolling of a dice • Seed the random number generator and create a dice object Designing Classes with Lotsof Processing How can we design a class that makes use of Python's array of sophisticated built-in collections? Let’s see it. • Define a class to calculate the Counter statistics for the number of customers arriving • Use the init method to include an object • Define the methods to calculate the mean and standard deviation Designing Classes with Little Unique Processing How can we create a class that allows us to use the object.attribute syntax instead ofobject['attribute']? This video will answer this question. • Create a stateful object with a new class • Create stateful objects using an existing class Optimizing Small Objects with _slots_ How can we create optimized classes with a fixed set of attributes? This video will show you how to do this. • Define a list of attribute names • Add the initialization method • Add a method to update the collection Using More Sophisticated Collections Python has a wide variety of built-in collections.When we fold in the standard library, we have more choices, and more decisions to make.How can we choose the right data structure for our problem? Let’s explore this. • Overview of the alternative collections • Learn how to make right decisions between a library data collection and built-in collections Extending a Collection Now, since you know to distinguishbetween a complex algorithm and a collection and how to encapsulate thealgorithm and the data into separate classes, the alternative design strategy is to extend the collection to incorporate a useful algorithm.How can we extend Python's built-in collections? Let’s do it right now! • Define a class as an extension to the built-in list class • Use different methods for additional processing Using Properties for Lazy Attributes What if we have values that are used rarely, and are very expensive to compute? What canwe do to minimize the up-front computation, and only compute values when they are trulyneeded? Let's look into it. • Define some useful helper function • Calculate the mean, sum, and standard deviation • Analyze the counter object Using Settable Properties to Update Eager Attributes What can we do if we want to use attribute-like syntax for setting a value, but we also wantto perform eager calculations? And how can we eagerly compute values from attribute changes? Let’s get the answer to these questions through this video. • Provide a method for gettable and settable attributes • Import the deque class • Initialize the queue in the init method The Course Overview This video gives an overview of this course. The Course Overview This video gives an overview of this course. The Course Overview This video gives an overview of this course. The Course Overview This video gives an overview of this course. This video gives an overview of this course. This video gives an overview of this course. Using a Class to Encapsulate Data and Processing The unifying concept behind a class definition is often captured as a summary of theresponsibilities allocated to the class. How can we do this effectively? What's a good way todesign a class? Let’s get the answers to these questions through this video. • Simulate the rolling of a dice • Seed the random number generator and create a dice object Using a Class to Encapsulate Data and Processing The unifying concept behind a class definition is often captured as a summary of theresponsibilities allocated to the class. How can we do this effectively? What's a good way todesign a class? Let’s get the answers to these questions through this video. • Simulate the rolling of a dice • Seed the random number generator and create a dice object Using a Class to Encapsulate Data and Processing The unifying concept behind a class definition is often captured as a summary of theresponsibilities allocated to the class. How can we do this effectively? What's a good way todesign a class? Let’s get the answers to these questions through this video. • Simulate the rolling of a dice • Seed the random number generator and create a dice object Using a Class to Encapsulate Data and Processing The unifying concept behind a class definition is often captured as a summary of theresponsibilities allocated to the class. How can we do this effectively? What's a good way todesign a class? Let’s get the answers to these questions through this video. • Simulate the rolling of a dice • Seed the random number generator and create a dice object The unifying concept behind a class definition is often captured as a summary of theresponsibilities allocated to the class. How can we do this effectively? What's a good way todesign a class? Let’s get the answers to these questions through this video. • Simulate the rolling of a dice • Seed the random number generator and create a dice object The unifying concept behind a class definition is often captured as a summary of theresponsibilities allocated to the class. How can we do this effectively? What's a good way todesign a class? Let’s get the answers to these questions through this video. • Simulate the rolling of a dice • Seed the random number generator and create a dice object Designing Classes with Lotsof Processing How can we design a class that makes use of Python's array of sophisticated built-in collections? Let’s see it. • Define a class to calculate the Counter statistics for the number of customers arriving • Use the init method to include an object • Define the methods to calculate the mean and standard deviation Designing Classes with Lotsof Processing How can we design a class that makes use of Python's array of sophisticated built-in collections? Let’s see it. • Define a class to calculate the Counter statistics for the number of customers arriving • Use the init method to include an object • Define the methods to calculate the mean and standard deviation Designing Classes with Lotsof Processing How can we design a class that makes use of Python's array of sophisticated built-in collections? Let’s see it. • Define a class to calculate the Counter statistics for the number of customers arriving • Use the init method to include an object • Define the methods to calculate the mean and standard deviation Designing Classes with Lotsof Processing How can we design a class that makes use of Python's array of sophisticated built-in collections? Let’s see it. • Define a class to calculate the Counter statistics for the number of customers arriving • Use the init method to include an object • Define the methods to calculate the mean and standard deviation How can we design a class that makes use of Python's array of sophisticated built-in collections? Let’s see it. • Define a class to calculate the Counter statistics for the number of customers arriving • Use the init method to include an object • Define the methods to calculate the mean and standard deviation How can we design a class that makes use of Python's array of sophisticated built-in collections? Let’s see it. • Define a class to calculate the Counter statistics for the number of customers arriving • Use the init method to include an object • Define the methods to calculate the mean and standard deviation Designing Classes with Little Unique Processing How can we create a class that allows us to use the object.attribute syntax instead ofobject['attribute']? This video will answer this question. • Create a stateful object with a new class • Create stateful objects using an existing class Designing Classes with Little Unique Processing How can we create a class that allows us to use the object.attribute syntax instead ofobject['attribute']? This video will answer this question. • Create a stateful object with a new class • Create stateful objects using an existing class Designing Classes with Little Unique Processing How can we create a class that allows us to use the object.attribute syntax instead ofobject['attribute']? This video will answer this question. • Create a stateful object with a new class • Create stateful objects using an existing class Designing Classes with Little Unique Processing How can we create a class that allows us to use the object.attribute syntax instead ofobject['attribute']? This video will answer this question. • Create a stateful object with a new class • Create stateful objects using an existing class How can we create a class that allows us to use the object.attribute syntax instead ofobject['attribute']? This video will answer this question. • Create a stateful object with a new class • Create stateful objects using an existing class How can we create a class that allows us to use the object.attribute syntax instead ofobject['attribute']? This video will answer this question. • Create a stateful object with a new class • Create stateful objects using an existing class Optimizing Small Objects with _slots_ How can we create optimized classes with a fixed set of attributes? This video will show you how to do this. • Define a list of attribute names • Add the initialization method • Add a method to update the collection Optimizing Small Objects with _slots_ How can we create optimized classes with a fixed set of attributes? This video will show you how to do this. • Define a list of attribute names • Add the initialization method • Add a method to update the collection Optimizing Small Objects with _slots_ How can we create optimized classes with a fixed set of attributes? This video will show you how to do this. • Define a list of attribute names • Add the initialization method • Add a method to update the collection Optimizing Small Objects with _slots_ How can we create optimized classes with a fixed set of attributes? This video will show you how to do this. • Define a list of attribute names • Add the initialization method • Add a method to update the collection How can we create optimized classes with a fixed set of attributes? This video will show you how to do this. • Define a list of attribute names • Add the initialization method • Add a method to update the collection How can we create optimized classes with a fixed set of attributes? This video will show you how to do this. • Define a list of attribute names • Add the initialization method • Add a method to update the collection Using More Sophisticated Collections Python has a wide variety of built-in collections.When we fold in the standard library, we have more choices, and more decisions to make.How can we choose the right data structure for our problem? Let’s explore this. • Overview of the alternative collections • Learn how to make right decisions between a library data collection and built-in collections Using More Sophisticated Collections Python has a wide variety of built-in collections ditional processing Now, since you know...