
Title

Python For Finance
Delivery time: 8-12 business days (International)
A Beginner'S Guide For Learning Python In The Context Of Finance And Economics. Ideal For Undergraduate And Graduate Students Who Want To Learn Coding, But Have No Experience Before. The Book Has Easy To Understand Stepbystep Instructions And Plenty Of Exercises.
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To facilitate a smooth return process, a Return Authorization (RA) Number is required for all returns. Returns without a valid RA number will be declined and may incur additional fees. You can request an RA number within 15 days of the original delivery date. For more details, please refer to our Return & Refund Policy page.
Shipping & Returns
Shipping
We ship your order within 2–3 business days for USA deliveries and 5–8 business days for international shipments. Once your package has been dispatched from our warehouse, you'll receive an email confirmation with a tracking number, allowing you to track the status of your delivery.
Returns
To facilitate a smooth return process, a Return Authorization (RA) Number is required for all returns. Returns without a valid RA number will be declined and may incur additional fees. You can request an RA number within 15 days of the original delivery date. For more details, please refer to our Return & Refund Policy page.
Warranty
We provide a 2-year limited warranty, from the date of purchase for all our products.
If you believe you have received a defective product, or are experiencing any problems with your product, please contact us.
This warranty strictly does not cover damages that arose from negligence, misuse, wear and tear, or not in accordance with product instructions (dropping the product, etc.).
Warranty
We provide a 2-year limited warranty, from the date of purchase for all our products.
If you believe you have received a defective product, or are experiencing any problems with your product, please contact us.
This warranty strictly does not cover damages that arose from negligence, misuse, wear and tear, or not in accordance with product instructions (dropping the product, etc.).
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Secure Payment
Your payment information is processed securely. We do not store credit card details nor have access to your credit card information.
We accept payments with :
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Frequently Asked Questions
- Q: What is 'Python for Finance' about? A: 'Python for Finance' is a beginner's guide designed to teach Python programming within the context of finance and economics, making it ideal for students with no prior coding experience.
- Q: Who is the author of 'Python for Finance'? A: The book is authored by Jay Chen, who provides step-by-step instructions and practical exercises tailored for learners.
- Q: How many pages does 'Python for Finance' have? A: 'Python for Finance' contains 153 pages, offering a concise yet comprehensive introduction to Python programming for financial applications.
- Q: What is the binding type of this book? A: 'Python for Finance' is available in paperback binding, making it easy to handle and read.
- Q: When was 'Python for Finance' published? A: 'Python for Finance' was published on October 10, 2019.
- Q: Is 'Python for Finance' suitable for beginners? A: Yes, this book is specifically aimed at beginners with no prior coding experience, making it a great starting point for learning programming in finance.
- Q: What kind of exercises does 'Python for Finance' include? A: 'Python for Finance' includes plenty of exercises designed to reinforce the concepts taught in the book, helping readers practice their coding skills effectively.
- Q: Can this book help with learning finance concepts as well? A: Yes, 'Python for Finance' integrates finance concepts with programming, allowing readers to understand both Python coding and its application in finance.
- Q: What condition is 'Python for Finance' available in? A: 'Python for Finance' is available in new condition, ensuring that readers receive a pristine copy.
- Q: Is there a specific audience for 'Python for Finance'? A: 'Python for Finance' is particularly suited for undergraduate and graduate students who are looking to learn coding in a finance-related context.