C++ for Data Science: Computing, Speed, Efficiency

The book "C++ for Data Science" is a bridge between the world of high-performance computing and modern data analysis tasks. If Python has become your primary tool, but you have encountered speed or memory limitations, this book will show how C++ can solve these problems without sacrificing flexibility.

Unlike typical language textbooks, this guide focuses exclusively on applied aspects of Data Science: from loading and preprocessing large CSV files to implementing your own gradient descent algorithms and matrix operations. You will learn how to combine the power of C++ with the convenience of Python through pybind11, creating hybrid solutions.

Who is this book for?

• Data Scientists and ML engineers looking to accelerate existing pipelines;
• Python developers who want to learn C++ for working with Big Data;
• Technical students studying numerical methods and algorithms;
• C++ programmers transitioning into the data analysis field.

What you will learn and master:

• C++ Basics for Data Science: working with STL, smart pointers, lambdas, and parallel algorithms;
• Numerical Methods: linear algebra with Eigen, statistical distributions, optimization;
• Data Processing: parsing CSV/JSON, working with datasets, memory-mapped files for gigabyte-scale data;
• Machine Learning: implementing k-NN, linear regression, neural networks from scratch;
• Integration with Python: creating Python modules in C++ using pybind11 for use in Jupyter and production;
• Performance: profiling, cache optimization, AVX instructions, and OpenMP for multithreading.

The book contains over 50 practical examples and ready-made projects, including a high-performance log parser, a recommendation system, and a library for fast computation of statistical metrics. Each example is accompanied by explanations and benchmarks.

Whether you are working on real-time analytics, computer vision, or financial models — C++ will give you control over every byte and CPU cycle. Start harnessing its potential today!