An original I created called "Tundra", crafted with a boss loop pedal and my custom Les Paul ... https://www.youtube.com/watch?v=N__Qqf9DuDo

#midjourney #howto #ai Midjourney course here - https://coldapache.gumroad.com/l/MidjourneyPromptEngineering Are you looking for a way to quickly and easily repeat a job in your design workflow? Look no further than Midjourney's repeat parameter. In this video, I'll show you how to use this powerful tool to repeat tasks and save time. ➡️ Join me as I demonstrate how to use Midjourney's repeat parameter to quickly and easily repeat tasks in your design workflow. ?? ➡️ Learn how to fine-tune the repeat parameter settings to fit your specific requirements and create a more efficient workflow. ?? ➡️ Discover how the repeat parameter can help you streamline your design process, allowing you to focus on more creative tasks. With Midjourney's repeat parameter, you'll be able to repeat jobs in your design workflow quickly and easily, giving you more time to focus on creating unique and visually stunning designs. Whether you're a graphic designer, web developer, or content creator, this tool is sure to save you time and energy. Don't miss out on this exciting opportunity to learn how to use Midjourney's repeat parameter. Hit that subscribe button and let's get started on this journey to a more efficient workflow with Midjourney's repeat parameter! ?? ... https://www.youtube.com/watch?v=tTQ-JAr1CYE

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#networkx #python #tutorial Code used in the video here - https://colab.research.google.com/drive/1qkYUd8_-F6anWrV7cDvzsPw4PWCyNvUX?usp=sharing ? Dive into the World of Graph Theory with NetworkX in Python! ? In this comprehensive tutorial, we'll explore the fascinating world of graph types and their properties using NetworkX, a powerful Python library. Whether you're a beginner or an experienced programmer, this video is your ultimate guide to understanding graph types, in-degree, out-degree, and more in Python. ? What You'll Learn: Introduction to NetworkX: A quick overview of the NetworkX library and its importance in graph theory and network analysis. Graph Types in NetworkX: Delve into different graph types such as directed, undirected, multigraphs, and more. Understand their characteristics and use cases. In-Degree and Out-Degree Concepts: Get a clear understanding of in-degree and out-degree in the context of directed graphs. Learn how to calculate and interpret them with practical examples. Hands-On Examples: Follow along with real-world examples to solidify your understanding. We’ll create and analyze various graph types using Python code. Visualizing Graphs: Learn how to visualize graphs using NetworkX and Matplotlib for better understanding and presentation. ? Useful Resources: NetworkX Documentation - https://networkx.org/documentation/stable/tutorial.html ... https://www.youtube.com/watch?v=y2hV2YfcI64