Biswas, Anjanava

Scott, Matthew R.

Talukdar, Wrick

Acero, Dr. Alex

Create intelligent, autonomous AI agents that can reason, plan, and adapt

Building Agentic AI Systems

Onge, Matt St.

Krishnan, Rama

Fortify your embedded Linux systems from design to deployment

The Embedded Linux Security Handbook

Dantas, Victor

Huntingford, Chris

Implement strategy, automation, and AI for scalable digital transformation

The Power Platform Playbook for Digital Transformation

Guilmette, Aaron

Natwick, Dwayne

Hardiman, James

Haven, Doug

Pass the SC-300 exam with confidence by using exam-focused resources

Microsoft Identity and Access Administrator SC-300 Exam Guide

Ramaswami, Yoni

Williamson, Dael

Govaere, Jan

A practical guide to processing, modeling, and forecasting time series with Apache Spark

Time Series Analysis with Spark

Bachlmayr, Gerald

Zivic, Bojan

Triantafillou, Nick

Ziegelaar, Aiden

Blockley, Alan

Avoiding Common Mistakes and Driving Success with Best Practices and Real-World Cases

Cloud Native Anti-Patterns

Dunsky, Michael

Enhance your skills with advanced game animation techniques in C++, OpenGL, and Vulkan

Mastering C++ Game Animation Programming

Babcock, Joseph

Bali, Raghav

Navigating the AI frontier with LLMs, Stable Diffusion, and next-gen AI applications

Generative AI with Python and PyTorch

Mitrović, Nikola

Yadav, Santosh

Discover 40+ real-world solutions for building async, event-driven web apps

RxJS Cookbook for Reactive Programming

Gabriel-Petit, Pabini

Kalbach, Jim

A practical guide to structuring digital content for findability and easy navigability

Designing Information Architecture

Over 80 powerful recipes for effective financial data analysis

Python for Finance Cookbook – Second Edition

<span xml:lang="en">Python for Finance Cookbook – Second Edition: Over 80 powerful recipes for effective financial data analysis</span>

Lewinson, Eryk

Use modern Python libraries such as pandas, NumPy, and scikit-learn and popular machine learning and deep learning methods to solve financial modeling problems Purchase of the print or Kindle book includes a free eBook in the PDF formatKey FeaturesExplore unique recipes for financial data processing and analysis with PythonApply classical and machine learning approaches to financial time series analysisCalculate various technical analysis indicators and backtest trading strategiesBook DescriptionPython is one of the most popular programming languages in the financial industry, with a huge...

Use modern Python libraries such as pandas, NumPy, and scikit-learn and popular machine learning and deep learning methods to solve financial modeling...

Format

Python for Finance Cookbook – Second Edition

Over 80 powerful recipes for effective financial data analysis

Eryk Lewinson

La gente también lee