Large Language Models Projects: by Pere Martra (Author) Apply and Implement Strategies for Large Language Models /

Includes bibliographical references and index.

Exploring the Python Language and the Interpreter -- Reviewing the Python Data Types -- Numeric Types: Integer and Float -- The Boolean Type -- The None Type -- Collection Types -- Strings -- Bytes and ByteArrays -- Tuples -- Lists -- Dictionaries -- Sets -- Using Python Control Structures -- Structuring Your Program -- Using Sequences, Blocks and Comments -- Selecting an Execution Path -- Iteration -- Handling Exceptions -- Managing Context -- Getting Data In and Out of Python -- Interacting with Users -- Using Text Files -- Extending Python -- Defining and Using Functions -- Generator Functions -- Lambda Functions -- Defining and Using Classes and Objects -- Creating and Using Modules and Packages -- Using and Creating Modules -- Using and Creating Packages -- Creating an Example Package -- Using Third-Party Packages -- Summary -- Accessing the Operating System -- Obtaining Information About Users and Their Computer

Obtaining Information About the Current Process -- Managing Other Programs -- Managing Subprocesses More Effectively -- Obtaining Information About Files (and Devices) -- Navigating and Manipulating the File system -- Plumbing the Directory Tree Depths -- Working with Dates and Times -- Using the time Module -- Introducing the datetime Module -- Introducing the calendar Module -- Handling Common File Formats -- Using Comma-Separated Values -- Working with Config Files -- Working with XML and HTML Files -- Parsing XML Files -- Parsing HTML Files -- Accessing Native APIs with ctypes and pywin32 -- Accessing the Operating System Libraries -- Using ctypes with Windows -- Using ctypes on Linux -- Accessing a Windows Application Using COM -- Automating Tasks Involving Multiple Applications -- Using Python First -- Using Operating System Utilities -- Using Data Files -- Using a Third-Party Module -- Interacting with Subprocesses via a CLI

Using Web Services for Server-Based Applications -- Using a Native Code API -- Using GUI Robotics -- Summary -- Storing Data Using Python -- Using DBM as a Persistent Dictionary -- Using Pickle to Store and Retrieve Objects -- Accessing Objects with shelve -- Analyzing Data with Python -- Analyzing Data Using Built-In Features of Python -- Analyzing Data with ittertools -- Utility Functions -- Data Processing Functions -- Taming the Vagaries of groupby() -- Using itertools to Analyze LendyDB Data -- Managing Data Using SQL -- Relational Database Concepts -- Structured Query Language -- Creating Tables -- Inserting Data -- Reading Data -- Modifying Data -- Linking Data Across Tables -- Digging Deeper into Data Constraints -- Revisiting SQLite Field Types -- Modeling Relationships with Constraints -- Many-to-Many Relationships -- Migrating LendyDB to an SQL Database -- Accessing SQL from Python -- Using SQL Connections -- Using a Cursor

Creating the LendyDB SQL Database -- Inserting Test Data -- Creating a LendyDB API -- Exploring Other Data Management Options -- Client-Server Databases -- NoSQL -- The Cloud -- Data Analysis with RPy -- Summary -- Structuring Applications -- Building Command-Line Interfaces -- Building the Data Layer -- Building the Core Logic Layer -- Building the User Interface -- Using the cmd Module to Build a Command-Line Interface -- Reading Command-Line Arguments -- Jazzing Up the Command-Line Interface with Some Dialogs -- Programming GUIs with Tkinter -- Introducing Key GUI Principles -- Event-Based Programming -- GUI Terminology -- The Containment Tree -- Building a Simple GUI -- Building a Tic-Tac-Toe GUI -- Sketching a UI Design -- Building Menus -- Building a Tic-Tac-Toe Board -- Connecting the GUI to the Game -- Extending Tkinter -- Using Tix -- Using ttk -- Revisiting the Lending Library -- Exploring Other GUI Toolkits for Python -- wxPython -- PyQt

PyGTK -- Native GUIs: Cocoa and PyWin32 -- Dabo -- Storing Local Data -- Storing Application-Specific Data -- Storing User-Selected Preferences -- Storing Application State -- Logging Error information -- Understanding Localization -- Using Locales -- Using Unicode in Python -- Using gettext -- Summary -- Python on the Web -- Parts of a Web Application -- The Client-Server Relationship -- Middleware and MVC -- HTTP Methods and Headers -- What Is an API? -- Web Programming with Python -- Using the Python HTTP Modules -- Creating an HTTP Server -- Exploring the Flask Framework -- Creating Data Models in Flask -- Creating Core Flask Files -- More on Python and the Web -- Static Site Generators -- Web Frameworks -- Using Python Across the Wire -- XML-RPC -- Socket Servers -- More Networking Fun in Python -- Summary -- Testing with the Doctest Module -- Testing with the Unittest Module -- Test-Driven Development in Python -- Debugging Your Python Code

Handling Exceptions in Python -- Working on Larger Python Projects -- Releasing Python Packages -- Summary -- Drawing Pictures with Python -- Using Turtle Graphics -- Using GUI Canvas Objects -- Plotting Data -- Using imghdr -- Introducing Pillow -- Trying Out ImageMagick -- Doing Science with Python -- Introducing SciPy -- Doing Bioscience with Python -- Using GIS -- Watching Your Language -- Getting It All -- Playing Games with Python -- Enriching the Experience with PyGame -- Exploring Other Options -- Going to the Movies -- The Computer Graphics Kit -- Modeling and Animation -- Photo Processing -- Working with Audio -- Integrating with Other Languages -- Jython -- IronPython -- Cython -- Tcl/Tk -- Getting Physical -- Introducing Serial Options -- Programming the RaspberryPi -- Talking to the Arduino -- Exploring Other Options -- Building Python -- Fixing Bugs -- Documenting -- Testing -- Adding Features -- Attending Conferences -- Summary

Description based on online resource ; title from PDF title page (EBSCO; viewed on December 10, 2014).