Python
W kategorii Python zostały zebrane podręczniki poruszające tematykę programowania z zastosowaniem praktycznie niezależnego sprzętowo, dostępnego na licencji Open Source języka. Książki przedstawią Wam wszechstronności i elastyczności Pythona a także różne typy tworzenia kodu poprzez programowanie strukturalne, obiektowe czy funkcjonalne.
Nauczycie się tworzyć aplikacje sieciowe o dowolnym przeznaczeniu, komunikujące się z systemami operacyjnymi, lub korzystające z baz danych. Techniki analizy składni, przetwarzanie tekstu czy rozłożenie obciążenia programu na wiele wątków i procesów przestanie być problematyczne.
Książki, ebooki, kursy video z kategorii: Python dostępne w księgarni Ebookpoint
-
Machine Learning on Kubernetes. A practical handbook for building and using a complete open source machine learning platform on Kubernetes
-
Advanced Analytics with PySpark
-
Distributed .NET with Microsoft Orleans. Build robust and highly scalable distributed applications without worrying about complex programming patterns
-
Essential Math for Data Science
-
Designing Production-Grade and Large-Scale IoT Solutions. A comprehensive and practical guide to implementing end-to-end IoT solutions
-
Mastering Python. Write powerful and efficient code using the full range of Python’s capabilities - Second Edition
-
Distributed Machine Learning with Python. Accelerating model training and serving with distributed systems
-
Deep Learning with PyTorch Lightning. Swiftly build high-performance Artificial Intelligence (AI) models using Python
-
Natural Language Processing with Flair. A practical guide to understanding and solving NLP problems with Flair
-
Python for ArcGIS Pro. Automate cartography and data analysis using ArcPy, ArcGIS API for Python, Notebooks, and pandas
-
Essential Mathematics for Quantum Computing. A beginner's guide to just the math you need without needless complexities
-
Mastering Transformers. Build state-of-the-art models from scratch with advanced natural language processing techniques
-
Data Science for Marketing Analytics. A practical guide to forming a killer marketing strategy through data analysis with Python - Second Edition
-
Fluent Python. 2nd Edition
-
Getting Started with Amazon SageMaker Studio. Learn to build end-to-end machine learning projects in the SageMaker machine learning IDE
-
Data Engineering with Google Cloud Platform. A practical guide to operationalizing scalable data analytics systems on GCP
-
Advanced Python Programming. Accelerate your Python programs using proven techniques and design patterns - Second Edition
-
Klasyczne problemy informatyki w Pythonie
-
Programowanie w Pythonie dla bystrzaków. Wydanie II
-
Data Lakehouse in Action. Architecting a modern and scalable data analytics platform
-
Scalable Data Analytics with Azure Data Explorer. Modern ways to query, analyze, and perform real-time data analysis on large volumes of data
-
Cryptography Algorithms. A guide to algorithms in blockchain, quantum cryptography, zero-knowledge protocols, and homomorphic encryption
-
Data Science Projects with Python. A case study approach to gaining valuable insights from real data with machine learning - Second Edition
-
Python Object-Oriented Programming. Build robust and maintainable object-oriented Python applications and libraries - Fourth Edition
-
Actionable Insights with Amazon QuickSight. Develop stunning data visualizations and machine learning-driven insights with Amazon QuickSight
-
Hands-On Data Preprocessing in Python. Learn how to effectively prepare data for successful data analytics
-
Building Big Data Pipelines with Apache Beam. Use a single programming model for both batch and stream data processing
-
Data Engineering with AWS. Learn how to design and build cloud-based data transformation pipelines using AWS
-
Creating Actionable Insights Using CRM Analytics. Learn how to build insightful and actionable data analytics dashboards
-
Agile Machine Learning with DataRobot. Automate each step of the machine learning life cycle, from understanding problems to delivering value
-
The TensorFlow Workshop. A hands-on guide to building deep learning models from scratch using real-world datasets
-
Mastering Ansible. Automate configuration management and overcome deployment challenges with Ansible - Fourth Edition
-
Practical Python Data Wrangling and Data Quality
-
Azure Data Scientist Associate Certification Guide. A hands-on guide to machine learning in Azure and passing the Microsoft Certified DP-100 exam
-
Learn Amazon SageMaker. A guide to building, training, and deploying machine learning models for developers and data scientists - Second Edition
-
Extending Power BI with Python and R. Ingest, transform, enrich, and visualize data using the power of analytical languages
-
Natural Language Processing with AWS AI Services. Derive strategic insights from unstructured data with Amazon Textract and Amazon Comprehend
-
Privilege Escalation Techniques. Learn the art of exploiting Windows and Linux systems
-
Serverless Analytics with Amazon Athena. Query structured, unstructured, or semi-structured data in seconds without setting up any infrastructure
-
Snowflake Cookbook. Techniques for building modern cloud data warehousing solutions
-
Enterprise DevOps for Architects. Leverage AIOps and DevSecOps for secure digital transformation
-
Machine Learning Engineering with Python. Manage the production life cycle of machine learning models using MLOps with practical examples
-
Machine Learning Using TensorFlow Cookbook. Create powerful machine learning algorithms with TensorFlow
-
Maximizing Tableau Server. A beginner's guide to accessing, sharing, and managing content on Tableau Server
-
Machine Learning with Amazon SageMaker Cookbook. 80 proven recipes for data scientists and developers to perform machine learning experiments and deployments
-
Machine Learning for Time-Series with Python. Forecast, predict, and detect anomalies with state-of-the-art machine learning methods
-
Learn Python Programming. An in-depth introduction to the fundamentals of Python - Third Edition
-
Python GUI Programming with Tkinter. Design and build functional and user-friendly GUI applications - Second Edition
-
Python for Geeks. Build production-ready applications using advanced Python concepts and industry best practices
-
Learning Test-Driven Development
-
Building Data Science Applications with FastAPI. Develop, manage, and deploy efficient machine learning applications with Python
-
Python Network Programming Techniques. 50 real-world recipes to automate infrastructure networks and overcome networking challenges with Python
-
Clean Code in Python. Develop maintainable and efficient code - Second Edition
-
Python Microservices Development. Build efficient and lightweight microservices using the Python tooling ecosystem - Second Edition
-
Algorithmic Short Selling with Python. Refine your algorithmic trading edge, consistently generate investment ideas, and build a robust long/short product
-
Practical Data Science with Python. Learn tools and techniques from hands-on examples to extract insights from data
-
Deep Learning with fastai Cookbook. Leverage the easy-to-use fastai framework to unlock the power of deep learning
-
Financial Theory with Python
-
Practical MLOps
-
Quantum Computing in Practice with Qiskit(R) and IBM Quantum Experience(R). Practical recipes for quantum computer coding at the gate and algorithm level with Python
-
Dancing with Python. Learn to code with Python and Quantum Computing
-
Exploring GPT-3. An unofficial first look at the general-purpose language processing API from OpenAI
-
Getting Started with Streamlit for Data Science. Create and deploy Streamlit web applications from scratch in Python
-
Data Science at the Command Line. 2nd Edition
-
Przetwarzanie i analiza danych w języku Python
-
Amazon Redshift Cookbook. Recipes for building modern data warehousing solutions
-
Scientific Computing with Python. High-performance scientific computing with NumPy, SciPy, and pandas - Second Edition
-
TensorFlow 2 Pocket Reference
-
Robust Python
-
Mastering spaCy. An end-to-end practical guide to implementing NLP applications using the Python ecosystem
-
Python Ethical Hacking from Scratch. Think like an ethical hacker, avoid detection, and successfully develop, deploy, detect, and avoid malware
-
Python and R for the Modern Data Scientist
-
Limitless Analytics with Azure Synapse. An end-to-end analytics service for data processing, management, and ingestion for BI and ML
-
Behavioral Data Analysis with R and Python
-
Machine Learning with BigQuery ML. Create, execute, and improve machine learning models in BigQuery using standard SQL queries
-
Designing Professional Websites with Odoo Website Builder. Create and customize state-of-the-art websites and e-commerce apps for your modern business needs
-
Programming the Internet of Things
-
Machine Learning with the Elastic Stack. Gain valuable insights from your data with Elastic Stack's machine learning features - Second Edition
-
Expert Python Programming. Master Python by learning the best coding practices and advanced programming concepts - Fourth Edition
-
Distributed Data Systems with Azure Databricks. Create, deploy, and manage enterprise data pipelines
-
Misja Python. Utwórz swoją kosmiczną grę!
-
Automated Machine Learning with AutoKeras. Deep learning made accessible for everyone with just few lines of coding
-
Think Bayes. 2nd Edition
-
Programowanie w TypeScript
-
Python Automation Cookbook. 75 Python automation recipes for web scraping; data wrangling; and Excel, report, and email processing - Second Edition
-
Machine Learning Automation with TPOT. Build, validate, and deploy fully automated machine learning models with Python
-
Mastering Python for Bioinformatics
-
Generative AI with Python and TensorFlow 2. Create images, text, and music with VAEs, GANs, LSTMs, Transformer models
-
Hands-On Financial Trading with Python. A practical guide to using Zipline and other Python libraries for backtesting trading strategies
-
Network Automation Cookbook. Proven and actionable recipes to automate and manage network devices using Ansible
-
Azure Data Engineering Cookbook. Design and implement batch and streaming analytics using Azure Cloud Services
-
Practical Statistics for Data Scientists. 50+ Essential Concepts Using R and Python. 2nd Edition
-
Scalable Data Streaming with Amazon Kinesis. Design and secure highly available, cost-effective data streaming applications with Amazon Kinesis
-
Interpretable Machine Learning with Python. Learn to build interpretable high-performance models with hands-on real-world examples
-
OpenCV 4 with Python Blueprints. Build creative computer vision projects with the latest version of OpenCV 4 and Python 3 - Second Edition
-
AWS Certified Machine Learning Specialty: MLS-C01 Certification Guide. The definitive guide to passing the MLS-C01 exam on the very first attempt
-
Python Natural Language Processing Cookbook. Over 50 recipes to understand, analyze, and generate text for implementing language processing tasks
-
Modernizing Oracle Tuxedo Applications with Python. A practical guide to using Oracle Tuxedo in the 21st century
-
Forecasting Time Series Data with Facebook Prophet. Build, improve, and optimize time series forecasting models using the advanced forecasting tool
-
Advanced Deep Learning with TensorFlow 2 and Keras. Apply DL, GANs, VAEs, deep RL, unsupervised learning, object detection and segmentation, and more - Second Edition
-
Artificial Intelligence for IoT Cookbook. Over 70 recipes for building AI solutions for smart homes, industrial IoT, and smart cities
-
Python for Excel
-
Web Development with Django. Learn to build modern web applications with a Python-based framework
-
Practical Discrete Mathematics. Discover math principles that fuel algorithms for computer science and machine learning with Python
-
Automated Machine Learning. Hyperparameter optimization, neural architecture search, and algorithm selection with cloud platforms
-
Crafting Test-Driven Software with Python. Write test suites that scale with your applications' needs and complexity using Python and PyTest
-
Algorytmy dla bystrzaków
-
Mastering PyTorch. Build powerful neural network architectures using advanced PyTorch 1.x features
-
Uczymy dzieci programowania. Przyjazny przewodnik po programowaniu w Pythonie
-
Python Data Analysis. Perform data collection, data processing, wrangling, visualization, and model building using Python - Third Edition
-
Transformers for Natural Language Processing. Build innovative deep neural network architectures for NLP with Python, PyTorch, TensorFlow, BERT, RoBERTa, and more
-
Getting Started with Google BERT. Build and train state-of-the-art natural language processing models using BERT
-
TensorFlow 2 Reinforcement Learning Cookbook. Over 50 recipes to help you build, train, and deploy learning agents for real-world applications
-
Mastering Python for Networking and Security. Leverage the scripts and libraries of Python version 3.7 and beyond to overcome networking and security issues - Second Edition
-
Matematyczne przygody z Pythonem
-
Odoo 14 Development Cookbook. Rapidly build, customize, and manage secure and efficient business apps using Odoo's latest features - Fourth Edition
-
Hands-On Image Generation with TensorFlow. A practical guide to generating images and videos using deep learning
-
Mastering Reinforcement Learning with Python. Build next-generation, self-learning models using reinforcement learning techniques and best practices
-
Python Data Cleaning Cookbook. Modern techniques and Python tools to detect and remove dirty data and extract key insights
-
Blueprints for Text Analytics Using Python