That fact is sufficient for Python to solve the comparison. In the second pair of examples, you get False. This result makes sense because the compared sequences don’t have the same length, so they can’t be equal.In the final pair of examples, Python compares 5 with 5. They’re ...
In this tutorial, you’ve learned how to: Use the modulo operator with int, float, math.fmod(), divmod(), and decimal.Decimal Calculate the results of a modulo operation Solve real-world problems using the modulo operator Override .__mod__() in your own classes to use them with the ...
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You can find a whole range ofdata science projectsto work on at DataCamp. These allow you to apply your coding skills to a wide range of datasets to solve real-world problems in your browser, and you can filter specifically by those that require Python. ...
This repository contains all the code, notebooks and examples used in this book. We will also be adding bonus content here from time to time. So keep watching this space! Get the book Master the essential skills needed to recognize and solve complex problems with machine learning and deep lea...
This book is designed to introduce students to programming and computational thinking through the lens of exploring data. You can think of Python as your tool to solve problems that are far beyond the capability of a spreadsheet. It is an easy-to-use and easy-to learn programming language ...
This course is best for data nerds who want to learn how to apply Python scripts to solve mathematical problems. Price: Basic: Free (No Certificate), Plus: $14.99 per month Time to complete: 13 hours Prerequisites required: No Flexible schedule: Yes Who should take this course? It is ...
The main purpose of this blog is to show people how to use Python to solve real world problems. Over the years, I have been fortunate enough to hear from readers about how they have used tips and tricks from this site to solve their own problems. In this post, I am extremely delighted...
multi-factor models, time series analysis, portfolio theory, options and futures. This book will help us to learn or review the basics of quantitative finance and apply Python to solve various problems, such as estimating IBM’s market risk, running a Fama-French 3-factor, 5-factor, or Fama...
techniques appropriately can greatly enhance application performance. With growing support for asynchronous programming within the Python community, we can expect to see more innovative use cases in the future. Mastering asynchronous programming not only helps developers solve real-world problems but also ...