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Melinda Dothan's Projects

amazon-chat-box1 icon amazon-chat-box1

I opened Amazon's Customer Service on the app, then I chose Contact Us. Then the chat box starts like this. The plan is to write my code after what I see. I write it in Python

c-essential-training-1-syntax-and-object-oriented-programming icon c-essential-training-1-syntax-and-object-oriented-programming

Get started in Microsoft application development by learning C#. Fast, capable, and productive, C# combines the best features of C++ and Java—with none of the reference counting or performance concerns. We've broken our C# Essential Training course into two parts, so you can focus on the language features you need to learn most. This part teaches the essential components of the syntax, including variables, strings, operations, classes, and methods. Follow along with instructor Bruce Van Horn, and learn how to build a class inside a reusable library, which is then consumed by a simple user interface. Plus, learn about encapsulation, inheritance, and the extension methods that make C# a great object-oriented programming language. This course is your first and best resource for programming with C#—the simple, modern, and popular choice for Windows developers.

cph-cakes icon cph-cakes

I found this project really nice. Creating a simply bakery website with beautiful cakes was fun.

learning-typescript icon learning-typescript

TypeScript adds discipline to JavaScript development. You can find errors in your code before you execute it, and leverage productivity enhancements like variable and property renaming. Despite its many parts—types, annotations, interfaces, and classes—adding TypeScript to your workflow doesn't have to be difficult. Join web developer Jess Chadwick as he walks you through the foundations, helping you set up TypeScript and use it in simple ways to improve existing JavaScript projects. Learn how to define custom types, convert existing JavaScript classes to TypeScript classes, and encapsulate your logic and data with access modifiers. Plus, find out how to reuse code with generics, type check files, and add type support for APIs. Using these techniques, you can become a more productive, efficient JavaScript developer.

programming-foundations-fundamentals icon programming-foundations-fundamentals

Learning objectives Writing source code Basic statements and expressions Working with numbers and strings Writing conditional code Increasing your efficiency with functions Working with comments Making decisions in code Troubleshooting errors Learning about other languages

python-basics icon python-basics

An introduction to the basic concepts of Python. Learn how to use Python interactively and by using a script. Create your first variables and acquaint yourself with Python's basic data types.

python-basics-on-full-stack-track icon python-basics-on-full-stack-track

This is a Treehouse course. What you'll learn Fundamental programming concepts Input and Output Conditional branching Loops Exception handling

python-functions-and-packages icon python-functions-and-packages

You'll learn how to use functions, methods, and packages to efficiently leverage the code that brilliant Python developers have written. The goal is to reduce the amount of code you need to solve challenging problems!

python-lists icon python-lists

Learn to store, access, and manipulate data in lists: the first step toward efficiently working with huge amounts of data.

python-matplotlib icon python-matplotlib

Data visualization is a key skill for aspiring data scientists. Matplotlib makes it easy to create meaningful and insightful plots. In this chapter, you’ll learn how to build various types of plots, and customize them to be more visually appealing and interpretable.

python-numpy icon python-numpy

NumPy is a fundamental Python package to efficiently practice data science. Learn to work with powerful tools in the NumPy array, and get started with data exploration.

python-programming- icon python-programming-

Working with dates and times, and retrieving and parsing HTML, JSON, and XML data from the web.

python-working-with-predictive-analytics icon python-working-with-predictive-analytics

Data can tell many stories: where it came from and where it’s going. Predictive analytics gives programmers a tool to tell stories about the future: to extract usable information and make accurate predictions. These predictions, in turn, allow business to make more informed, impactful decisions. Join Isil Berkun, data scientist, to explore predictive analytics with Python. Discover how to prepare data—fill in missing values, perform feature scaling, and more—and use prebuilt Python libraries to make and evaluate prediction models. She describes what models to use when, and explains the concepts in such a way that you can immediately apply them to your own work. By the end of the course, you’ll be able to leverage Python libraries like pandas and NumPy and choose the right prediction models for your projects.

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