Showing 14521–14532 of 14641 results
Working with Files in C#
Reading and writing data to streams and files is central to many .NET applications, but it can be confusing. This course will teach you how to perform essential file operations and read and write text, binary, and CSV data to streams and files.
Working with Files in Python
Python is the best language to learn at any point in your career. In this course you will learn how to work with files in Python, including how to create files, append text, read from files, find files, create and locate directories, and more
Working with Files in Python 3
Manipulating files and folders are essential aspects of working with Python. This course teaches you how to apply the most useful and common file and folder operations available with the standard library and can be created using Python.
Working with Geospatial Data in Python
This course will show you how to integrate spatial data into your Python Data Science workflow.
Working with Git and GitHub in Visual Studio 2022
Git is the most commonly used version control system. This course will teach you how to work with Git and GitHub in Visual Studio 2022 to track and store the changes of your C# code and to collaborate with other .NET developers.
Working with Hierarchies in SQL Server
In this course, you will learn to work with hierarchical data in SQL Server using hierarchyid. You will master techniques to create, query, optimize, and traverse hierarchies efficiently.
Working with HTML5 – For Web Developers and Designers
Working with HTML5 - For Web Developers and Designers
Working with Hugging Face
Navigate and use the extensive repository of models and datasets available on the Hugging Face Hub.
Working with JSON in .NET
JSON is one of the most widely used data interchange formats for serializing and transmitting structured data. This course will teach you how to work with JSON in .NET using the native System.Text.Json base class library.
Working with Llama 3
Explore the latest techniques for running the Llama LLM locally, fine-tuning it, and integrating it within your stack.
Working with Multidimensional Data Using NumPy
As working with huge numeric datasets becomes the norm, using the right tools and libraries to work with the data becomes very important. NumPy allows data analysts and data scientists to work with multi-dimensional data to solve these problems.
Working with Pre-trained NLP Models
Transfer learning is one of the key concepts that leverages companies all over the world in their LLM strategy. This course will teach you how to create LLM powered models through transfer learning.