If you’re a programmer, you’re probably plenty busy, so why not save some time and avoid reinventing the wheel by reusing well-proven design solutions—software design patterns—to improve your code quality? Design patterns encourage programming efficiency and code reuse. In this course, Jungwoo Ryoo takes a look at traditional design patterns as applied to Python. Jungwoo Ryoo covers 15 essential creational, structural, and behavioral patterns to help you solve common coding challenges, while introducing best practices that can help keep your solutions consistent, complete, and correct.

Explore 15 essential design patterns that will help you solve common coding challenges in Python.

Design patterns encourage programming efficiency and code reuse. This course is a look at traditional design patterns as applied to Python. Jungwoo Ryoo covers 15 essential creational, structural, and behavioral patterns to help you solve common coding challenges, while introducing best practices that will keep your solutions consistent, complete, and correct.

Cut down on development time by writing Python code in an efficient manner. Learn about helpful third-party packages, strategies for improving code performance, and more.

Recursion is part of the very fabric of computer science and software development, and whether you rarely use it or if it’s a key part of your development, there’s a good chance recursion is happening behind the scenes. Recursion is a powerful tool in breaking down complex problems into more manageable segments, and knowledge of recursion is a desirable trait that employers look for in developer positions. In this course, Robin Andrews takes a deep dive into the concepts, techniques, and applications of recursion using Python. He starts with some real-world examples of recursion, and then shows how it pertains to software development. He covers classic recursive algorithms like factorials and Fibonacci numbers, before showing how to write recursive algorithms in Python through practice exercises. After completing this course, you will have a better idea of how to use recursive algorithms to solve a wide range of software development issues.

When you’re working with files of any kind, nothing saves time like automation. No one wants to spend a day manually editing or renaming 1000 files. In this course, Kathryn Hodge shows you how to use Python to automate operating system tasks, aggregate data across multiple sources, save results to files, and level up your Python applications. Kathryn starts by introducing the idea of the file system with absolute versus relative paths, directory structures, and more. From there, she explores how to use tools from the Python Standard Library to retrieve metadata about the files and paths located on your machine. Once you know how to navigate to the appropriate files you want to work with, she shows how to process files with Python, parsing data not only in text formats, but also JSON and CSV. Finally, Kathryn looks at writing data to different file types and explains how to store that data within an archive well as with temporary files.

Find out how to use prebuilt Python libraries for predictive analytics and discover insights about the future.

Learn how to use Python to send, retrieve, and deliver data, such as XML and JSON, over the web.

Explore the basics of deep learning using PyTorch. Learn about the components of an image recognition model using the Fashion MNIST dataset.

Expedite your AEC workflow. Learn how to use Python scripting to automate and augment the QGIS toolset.

Learn how to analyze and display data. Discover how to install or connect to Qlik Sense, import and summarize data, create and manipulate data visualizations, and create dashboards.

Learn how to properly manage quality in your company. Explore major frameworks, tools, and strategies that you can leverage to enhance your quality management approach.

Learn how to establish quality standards in customer service, and improve loyalty, revenue, customer satisfaction, and employee engagement.

Learn how to establish quality standards to improve the performance of your customer service team.

Learn how to create highly accurate 3D and 2D quantity takeoffs using the Navisworks Quantification dialog and built-in and custom catalogs.

Learn how to query data from SQL Server tables.

Learn how to retrieve information stored in a Microsoft SQL Server database using the Transact-SQL (T-SQL) language.

Discover simple solutions to instantly improve customer service.

Save time and energy getting your data in and out of QuickBooks and Excel. Learn how to import and export data, generate common financial statements, and process text files.

Become more productive with these QuickBooks Desktop tips and tricks. Discover tricks for numbering transactions and invoicing, and speed up tasks such as finding info.