What is the main focus of 'Personal Finance with Python'?

The primary emphasis of 'Personal Finance with Python: Using pandas, Requests, and Recurrent First Edition' is to teach readers how to utilize Python programming, particularly libraries like pandas and Requests, for managing and analyzing personal finance data. This involves building financial models, automating data retrieval, and performing detailed analyses to make informed financial decisions. Whether you're budgeting, tracking investments, or analyzing spending trends, this book equips you with practical tools and methods to enhance your financial literacy with coding.

Who is the target audience for this book?

This book is designed for individuals interested in improving their personal finance management skills through programming, especially those with basic knowledge of Python. It caters to a wide range of readers—students, financial professionals, and hobbyists—all aiming to leverage technology to demystify financial concepts. By combining finance and coding, the book makes financial analysis more accessible for everyone, making it suitable for both novice programmers and experienced developers looking to enhance their financial applications.

What programming skills are necessary to follow this book?

To effectively engage with the content of 'Personal Finance with Python', readers should possess a basic understanding of Python programming, including familiarity with syntax, data types, and fundamental coding principles. Knowledge of libraries such as pandas and Requests is beneficial, as these are central tools used throughout the book. However, the author provides guidance and examples that can help readers build their skills while learning to apply programming concepts in a personal finance context, making it a valuable resource for self-learners.

Can this book help me automate my financial processes?

Absolutely! 'Personal Finance with Python' introduces readers to methodologies that make it possible to automate various financial tasks—such as tracking expenses, generating financial reports, and even pulling real-time market data using APIs. By implementing these techniques, you can save time and minimize manual errors in your financial management routines. This automation not only streamlines everyday financial tasks but also empowers you to focus on strategic financial planning and investments more effectively.

What practical projects does the book cover?

The book includes various hands-on projects that allow readers to apply learned concepts directly to real-life scenarios. Examples include creating budget trackers, building investment portfolios, and analyzing spending habits over time. Each project includes step-by-step instructions, enabling readers to see immediate results from their efforts. This practical approach fosters deeper engagement with the material and demonstrates the tangible benefits of integrating Python into personal finance management.

Is prior knowledge of personal finance required to understand the book?

While prior knowledge of personal finance can be helpful, it isn't strictly required to understand the concepts presented in 'Personal Finance with Python'. The book begins with foundational topics in personal finance, such as budgeting and investment basics, before gradually integrating Python programming techniques. This structure allows readers who may be new to finance to learn essential principles while concurrently developing their coding skills, making the material approachable for a wide audience.

Are there any online resources provided alongside the book?

Yes, 'Personal Finance with Python' typically includes supplementary online resources such as code repositories, example datasets, and additional tutorials that enhance the learning experience. These resources cater to readers who want to delve deeper into specific topics or who need practical assistance with coding challenges. Having access to these materials can significantly enhance your ability to apply the book’s teachings effectively and explore new financial analytics projects.

How does this book compare to other finance programming resources?

'Personal Finance with Python' stands out in its integration of finance principles with Python programming, providing a unique blend of theory and practical application. Unlike general programming books, this resource specifically targets financial applications, making it more relevant for individuals looking to apply coding skills to finance. Additionally, its use of popular libraries like pandas and Requests places an emphasis on current industry practices, making it an excellent choice for those in the finance tech space.

Can I use this book as a reference for future projects?

Certainly! The concepts and techniques outlined in 'Personal Finance with Python' are applicable beyond the projects covered in the book. Readers will gain foundational programming skills and financial knowledge that can be utilized in various future endeavors, whether for developing personal finance apps, conducting investment analysis, or any project requiring financial data manipulation. The book serves as both a comprehensive guide and a valuable reference for anyone looking to bridge finance and technology.

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Personal Finance with Python: Using pandas, Requests, and Recurrent

This book is about Python and personal finance and how you can effectively mix the two together.

Artigo n.º: 84673351

Personal Finance with Python: Using pandas, Requests, and Recurrent

Q: Where can I buy 'Personal Finance with Python: Using pandas, Requests, and Recurrent First Edition'?

You can purchase 'Personal Finance with Python: Using pandas, Requests, and Recurrent First Edition' through Ubuy in Angola. Ubuy offers a reliable platform for acquiring this title, ensuring you have access to this insightful resource that combines finance with programming. Whether you're looking to enhance your financial skills or equip yourself with Python capabilities, Ubuy provides a seamless buying experience for this essential book.

Artigo n.º: 84673351

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O que se Destaca

Comprehensive Guide

This book provides an in-depth understanding of personal finance using Python, making complex financial analyses accessible to beginners and experts alike.

Practical Examples

Each chapter includes practical implementations with pandas and Requests, helping readers directly apply programming skills to real-world financial scenarios.

User-Friendly Approach

Designed with a clear structure and engaging content, it simplifies finance concepts, making it perfect for readers new to programming and finance.

Detalhes do produto

Deal with data, build up financial formulas in code from scratch, and evaluate and think about money in your day-to-day life. This book is about Python and personal finance and how you can effectively mix the two together. In Personal Finance with Python you will learn Python and finance at the same time by creating a profit calculator, a currency converter, an amortization schedule, a budget, a portfolio rebalancer, and a purchase forecaster. Many of the examples use pandas, the main data manipulation tool in Python. Each chapter is hands-on, self-contained, and motivated by fun and interesting examples.Although this book assumes a minimal familiarity with programming and the Python language, if you don't have any, don't worry. Everything is built up piece-by-piece and the first chapters are conducted at a relaxed pace. You'll need Python 3.6 (or above) and all of the setup details are included.What You'll LearnWork with data in pandasCalculate Net Present Value and Internal Rate ReturnQuery a third-party API with RequestsManage secretsBuild efficient loopsParse English sentences with RecurrentWork with the YAML file formatFetch stock quotes and use Prophet to forecast the futureWho This Book Is ForAnyone interested in Python, personal finance, and/or both! This book is geared towards those who want to manage their money more effectively and to those who just want to learn or improve their Python.

Publisher	Apress
Publication date	July 21, 2018
Edition	First Edition
Language	English
Print length	133 pages
ISBN-10	148423801X
ISBN-13	978-1484238011
Item Weight	7.2 ounces (204.12 grams)
Dimensions	6.1 x 0.31 x 9.25 inches (15.5 x 0.8 x 23.5 cm)

Quem Deverá Comprar?

Data Analysts
Ideal for analysts wanting to leverage Python libraries like pandas for personal finance data manipulation and analysis.
Python Learners
Great for individuals learning Python who want to apply programming skills to real-world personal finance scenarios.
Finance Professionals
Beneficial for finance professionals looking to automate and streamline personal finance tasks using Python programming.

Beginners
Not suitable for complete beginners in finance or programming without prior knowledge or experience in Python.

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Perguntas e respostas do cliente

Pergunta: Como comprar Personal Finance with Python: Using pandas, online na Ubuy?

Resposta: É fácil comprar Personal Finance with Python: Using pandas, online na Ubuy.. Você só precisa procurar o produto, escolher a forma de envio na hora de finalizar a compra e receber no seu endereço.
Pergunta: Personal Finance with Python: Using pandas, está disponível para compras online em Angola?

Resposta: Sim, na Ubuy Angola este produto está disponível para você comprar a um preço razoável.. O Personal Finance with Python: Using pandas, não está disponível localmente, mas você pode confiar em nós com nossos serviços de remessa expressa.
Pergunta: Quanto tempo leva para receber o produto após fazer o pedido?

Resposta: O tempo de entrega do seu produto encomendado varia de acordo com o que você pediu e o método de envio que você escolheu.. O tempo estimado de entrega é mencionado durante o processo de checkout, portanto, fique despreocupado ao fazer compras.

Financial Services Editorial Review

**** "Personal Finance with Python: Using pandas, Requests, and Recurrent" is a valuable resource for individuals and businesses alike who are eager to incorporate coding into managing their financial affairs. The book emphasizes the practical application of Python—an intuitive programming language—making it accessible for readers who may not have extensive coding experience. It offers step-by-step coding examples, particularly focusing on financial concepts such as Internal Rate of Return (IRR) and Net Present Value (NPV), helping users make informed financial decisions. Readers appreciate the straightforward approach of the book, which effectively elucidates each function's purpose within the code. This clarity, paired with a Consistent presentation style, fosters a smooth learning experience. It serves not only as an introduction to Python but also as a practical guide for creating budgets and tracking investment returns, making it beneficial for small, medium, and large businesses. Overall, the book has garnered positive feedback for marrying the fields of personal finance and programming effectively. **

Avaliações e Classificações dos Clientes

4.0

11 classificações de clientes

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Prós

Intuitive language (Python) that is easy to learn.
Practical coding examples related to real financial decisions.
Clear explanations and Consistent flow throughout the book.
Suitable for both beginners and experienced users in finance.
Useful for small to large businesses without additional costs.

Contras

No significant Cons were noted in the feedback provided.

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Os nossos principais Parceiros Logísticos

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Recursos e benefícios

Learn Python and finance simultaneously
Create a profit calculator, currency converter, and more
Hands-on, self-contained chapters with interesting examples
Assumes minimal programming familiarity, builds up step-by-step
Requires Python 3.6 or above, with setup details included
Ideal for Python enthusiasts and those interested in personal finance

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Personal Finance with Python: Using pandas, Requests, and Recurrent

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Detalhes do produto

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