Python + Finance = is your one-stop destination for comprehensive notes and tutorials that cover the following areas:

  1. Python Programming Language: We delve into a vast range of topics, including variables, data structures, loops, conditional statements, functions, classes, I/O, file handling, and external data handling. The sections are neatly structured and easy to follow. By the end, you will have grasped all the important details to progress further on your scientific computing journey with Python.

  2. Data Analysis with Python: Data analysis is a crucial skill for any data-intensive profession in today's world. We cover topics that will make you comfortable in performing basic to advanced data manipulation and analysis. The libraries we focus on include NumPy and Pandas. From data wrangling to statistical computations, you'll gain hands-on experience in handling data efficiently.

  3. Create Stunning Visualizations: Presenting data effectively is vital to conveying the complete story. With our tutorials on Matplotlib and Seaborn, you'll learn how to create captivating charts and graphs that enhance your data storytelling. From simple line charts to complex financial visualizations, I've got you covered.

  4. Focus on Financial Application: Python's versatility, ease of use, and robust libraries make it widely used in the finance industry. Due to the nature of this blog, the examples and case studies primarily cover topics from the field of finance. The "How to.." series will delve into basic to advanced topics about the application of Python in finance. We will not cover the topics related to web application development with Python based frameworks.

Other things to consider:

  1. Work in progress: The content is always a work in progress, so you might not see all of the above-mentioned topics on the website yet. To ensure you don't miss any updates, I encourage you to follow the Twitter handle @Pyfin-org (opens in a new tab) . By following, you'll receive regular updates regarding new tutorials, insightful articles, and valuable resources right in your inbox.

  2. Join the community: Learning is more enjoyable when you do it together. I invite you to become part of the Discord channel (opens in a new tab). Connect with like-minded individuals, share your knowledge, ask questions, and collaborate on exciting projects.