This course provides a comprehensive introduction to the powerful Jupyter Notebook environment. It is designed to equip learners with the necessary knowledge and skills to effectively leverage Jupyter Notebook for data analysis, visualization, and interactive computing. Learners will learn how to create, edit, and organize Jupyter Notebook documents, execute and document code, use Replit, Google Colab, and Anaconda Distribution, and the basics of Markdown. By the end of this course, learners will have a solid foundation in Jupyter Notebook, enabling them to explore, analyze, visualize data, create interactive presentations, and collaborate effectively with others. Click now to learn Jupyter Notebooks for Beginners!

This course is perfect for new learners who want to learn how to create a Python Jupyter Notebook Server with Docker and Heroku. It provides step-by-step instructions on how to deploy an interactive notebook, allowing projects to be more literal and easier for non-technicals to run code. It also covers the use of Docker to give control over the application's OS environment, and how to deploy the project to Heroku. Additionally, it explains the caveat that Jupyter notebooks will disappear as soon as a new version is deployed, due to the ephemeral nature of containers. With this course, you will be able to create a Python Jupyter Notebook Server with Docker and Heroku, and gain control over the application's OS environment. Click now to start your journey!

This course is perfect for all Python developers who want to learn more about Jupyter Notebook. It covers the basics of Anaconda and Jupyter Notebook, as well as more advanced topics such as Menu tabs, Cell types, Modes, Shortcuts, and Magic Commands. Learners will also learn how to publish their Jupyter Notebook files on a website or blog and how to share them with other team members. Whether you are a beginner or an experienced developer, this course will provide you with a comprehensive overview of Jupyter Notebook. Don't miss out on this great opportunity to expand your knowledge!

This course is perfect for those looking to become familiar with Jupyter Notebook and its features to perform data science tasks in Python. Led by Dražen Lucanin, a developer, data analyst, and founder of Punk Rock Dev, learners will start from basic data analysis tasks and work their way up to learn common scientific Python tools. Through the course, learners will work with real datasets, such as crime and traffic accidents in New York City, to explore data scraping and cleaning. By the end, learners will be able to create insightful visualizations and interactive reports to extract useful information from datasets. Don't miss out on this opportunity to learn the fundamentals of data science with Jupyter Notebook!