Programming

Our online library contains some publications, thanks to which programming will have no secrets from you. The books included here will introduce you to such languages as HTML, JavaScript, Python and CSS. Due to them, you will also learn how to create effective algorithms, design mobile applications or take care of the correct information architecture on websites.

Data Analysis with Python. A Modern Approach

David Taieb

Data Analysis with R. A comprehensive guide to manipulating, analyzing, and visualizing data in R - Second Edition

Tony Fischetti

Data Democratization with Domo. Bring together every component of your business to make better data-driven decisions using Domo

Jeff Burtenshaw

Data Engineering with AWS Cookbook. A recipe-based approach to help you tackle data engineering problems with AWS services

Trâm Ngoc Pham, Gonzalo Herreros González, Viquar Khan, Huda Nofal

Data Engineering with AWS. Learn how to design and build cloud-based data transformation pipelines using AWS

Gareth Eagar

Data Engineering with Google Cloud Platform. A practical guide to operationalizing scalable data analytics systems on GCP

Adi Wijaya

Data Engineering with Python. Work with massive datasets to design data models and automate data pipelines using Python

Paul Crickard

Data Lakehouse in Action. Architecting a modern and scalable data analytics platform

Pradeep Menon

Data Management Strategy at Microsoft. Best practices from a tech giant's decade-long data transformation journey

Aleksejs Plotnikovs

Data Mining. Eksploracja danych w sieciach społecznościowych. Wydanie III

Matthew A. Russell, Mikhail Klassen

Data Modeling for Azure Data Services. Implement professional data design and structures in Azure

Peter ter Braake

Data Science for Decision Makers. Enhance your leadership skills with data science and AI expertise

Jon Howells

Data Science for Marketing Analytics. A practical guide to forming a killer marketing strategy through data analysis with Python - Second Edition

Mirza Rahim Baig, Gururajan Govindan, Vishwesh Ravi Shrimali

Data Science for Marketing Analytics. Achieve your marketing goals with the data analytics power of Python

Tommy Blanchard, Debasish Behera, Pranshu Bhatnagar

Data science od podstaw. Analiza danych w Pythonie

Joel Grus

Data science od podstaw. Analiza danych w Pythonie. Wydanie II

Joel Grus

Data Science. Programowanie, analiza i wizualizacja danych z wykorzystaniem języka R

Michael Freeman, Joel Ross

Data Science Projects with Python. A case study approach to gaining valuable insights from real data with machine learning - Second Edition

Stephen Klosterman

Data Science Projects with Python. A case study approach to successful data science projects using Python, pandas, and scikit-learn

Stephen Klosterman

Data Science with .NET and Polyglot Notebooks. Programmer's guide to data science using ML.NET, OpenAI, and Semantic Kernel

Matt Eland

Data science, wyzwania i rozwiązania. Jak zostać ekspertem analizy danych

Daniel Vaughan

Data Structures and Algorithms with the C++ STL. A guide for modern C++ practitioners

John Farrier

Data Structures and Program Design Using C++. A Self-Teaching Introduction to Data Structures and C++

Mercury Learning and Information, D. Malhotra, N. Malhotra

Data Structures and Program Design Using Java. A Self-Teaching Introduction to Data Structures and Java

Mercury Learning and Information, D. Malhotra, N. Malhotra