Practical Python Programming

“Practical Python Programming” delves into the practical aspects of Python development, exploring topics like speed optimization, AI applications, and data augmentation for machine learning. The document covers the importance of understanding Python’s speed measurements, the role of short-term memory in AI applications using Langchain, and the significance of data augmentation in machine learning models. It also touches on the challenges of enterprise RAG implementations and the need for responsive customer-facing chatbots. Overall, the document provides insights into real-world Python programming scenarios and applications across various domains like AI, data processing, and web development.

Visit Practical Python Programming

7.3 Returning Functions

This section introduces the idea of using functions to create other functions. Introduction Consider the following function. This is a function that returns another function. Local Variables Observe h...

6.2 Customizing Iteration

Practical Python Programming

This section looks at how you can customize iteration using a generator function. A problem Suppose you wanted to create your own custom iteration pattern. For example, a countdown. There is an easy w...

6.1 Iteration Protocol

Practical Python Programming

This section looks at the underlying process of iteration. Iteration Everywhere Many different objects support iteration. Iteration: Protocol Consider the for -statement. What happens under the hood? ...

6.3 Producers, Consumers and Pipelines

Practical Python Programming

Generators are a useful tool for setting various kinds of producer/consumer problems and dataflow pipelines. This section discusses that. Producer-Consumer Problems Generators are closely related to v...

5.1 Dictionaries Revisited

Practical Python Programming

The Python object system is largely based on an implementation involving dictionaries. This section discusses that. Dictionaries, Revisited Remember that a dictionary is a collection of named values. ...

4.3 Special Methods

Practical Python Programming

Various parts of Python’s behavior can be customized via special or so-called “magic” methods. This section introduces that idea. In addition dynamic attribute access and bound methods are discussed. ...

4.2 Inheritance

Practical Python Programming

Inheritance is a commonly used tool for writing extensible programs. This section explores that idea. Introduction Inheritance is used to specialize existing objects: The new class Child is called a d...

4.4 Defining Exceptions

Practical Python Programming

User defined exceptions are defined by classes. Exceptions always inherit from Exception . Usually they are empty classes. Use pass for the body. You can also make a hierarchy of your exceptions. Exer...

3.5 Main Module

Practical Python Programming

This section introduces the concept of a main program or main module. Main Functions In many programming languages, there is a concept of a main function or method. This is the first function that exe...

3.1 Scripting

Practical Python Programming

In this part we look more closely at the practice of writing Python scripts. What is a Script? A script is a program that runs a series of statements and stops. We have mostly been writing scripts to ...

3.2 More on Functions

Practical Python Programming

Although functions were introduced earlier, very few details were provided on how they actually work at a deeper level. This section aims to fill in some gaps and discuss matters such as calling conve...

3.4 Modules

Practical Python Programming

This section introduces the concept of modules and working with functions that span multiple files. Modules and import Any Python source file is a module. The import statement loads and executes a mod...