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EbooksPython

Cool Ebooks Python

Install / Use

/learn @EBooksPython/EbooksPython
About this skill

Quality Score

0/100

Supported Platforms

Universal

README

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The Best Book in Python

  • Disclaimer: All the book are outside this github repository the author didn't upload any book.

|Year|Title| | ------------- |-------------| |2020| Machine Learning with Spark™ and Python®: Essential Techniques for Predictive Analytics| |2020| Programming For Computations - Python: A Gentle Introduction To Numerical Simulations With Python 3.6| |2020| Data Mining for Business Analytics: Concepts, Techniques and Applications in Python| |2020| Learn TensorFlow 2.0: Implement Machine Learning And Deep Learning Models With Python| |2020| Practices of the Python Pro| |2020| Using Asyncio in Python: Understanding Python's Asynchronous Programming Features| |2020| PACO: Python-Based Atmospheric COrrection| |2020| Mastering Large Datasets with Python: Parallelize and Distribute Your Python Code| |2020| Mastering Python Networking: Your one-stop solution to using Python for network automation, programmability, and DevOps| |2020| Hands-On Genetic Algorithms with Python: Applying genetic algorithms to solve real-world deep learning and artificial intelligence problems| |2020| Python for Finance Cookbook: Over 50 recipes for applying modern Python libraries to quantitative finance to analyze data| |2020| Game Programming with Code Angel: Learn how to code in Python on Raspberry Pi or PC| |2020| Python Projects for Beginners: A Ten-Week Bootcamp Approach to Python Programming| |2020| Deep Neuro-Fuzzy Systems with Python: With Case Studies and Applications from the Industry| |2020| Hands On Google Cloud SQL and Cloud Spanner: Deployment, Administration and Use Cases with Python| |2020| Hybrid Imaging and Visualization: Employing Machine Learning with Mathematica - Python| |2020| Using Asyncio in Python: Understanding Python's Asynchronous Programming Features| |2020| Statistics, data mining, and machine learning in astronomy : a practical Python guide for the analysis of survey data| |2020| Learning OpenCV 4 Computer Vision with Python 3: Get to grips with tools, techniques, and algorithms for computer vision and machine learning| |2020| Pandas 1.x Cookbook: Practical recipes for scientific computing, time series analysis, and exploratory data analysis using Python| |2020| Effective Python : 90 specific ways to write better Python| |2020| Automate the Boring Stuff with Python: Practical Programming for Total Beginners| |2020| Architecture Patterns with Python: Enabling Test-Driven Development, Domain-Driven Design, and Event-Driven Microservices| |2020| Discovering Computer Science : Interdisciplinary Problems, Principles, and Python Programming| |2020| OpenCV 4 with Python Blueprints: Become proficient in computer vision by designing advanced projects using OpenCV 4 with Python 3.8| |2020| Generative Adversarial Networks with Python| |2020| Django 3 Web Development Cookbook: Actionable solutions to common problems in Python web development| |2020| Fluent Python| |2020| Mastering Python Networking| |2020| Graphic Python Algorithms: Data Structure and Algorithms for python| |2020| Natural Language Processing with Python and spaCy: A Practical Introduction| |2020| Applied Machine Learning with Python| |2020| Django 3 By Example: Build powerful and reliable Python web applications from scratch| |2020| Introduction to Time Series Forecasting with Python: How to Prepare Data and Develop Models to Predict the Future| |2020| Python One-Liners| |2020| MicroPython Projects: A do-it-yourself guide to building embedded applications in various domains using Python| |2020| Python 3 : 400 exercises and solutions for beginners| |2020| Python 3: 400 exercises and solutions for beginners| |2020| Python Debugging Handbook| |2020| Python for Linguists| |2020| Practical Numerical and Scientific Computing with MATLAB® and Python| |2020| Practical Numerical and Scientific Computing with Matlab® and Python| |2020| Practical Numerical and Scientific Computing with Matlab® and Python| |2020| Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python| |2020| Interactive Data Visualization With Python : present your data as an.| |2020| Data Science in Production: Building Scalable Model Pipelines with Python| |2020| Artificial Intelligence with Python: Your complete guide to building intelligent apps using Python 3.x and TensorFlow 2| |2020| Artificial Intelligence with Python: Your complete guide to building intelligent apps using Python 3.x and TensorFlow 2| |2020| High Performance Python: Practical Performant Programming for Humans| |2020| Advanced Data Science and Analytics with Python| |2020| Effective Python: 90 Specific Ways to Write Better Python| |2020| Machine Learning With Python For Everyone| |2020| Python: Искусственный интеллект, большие данные и облачные вычисления| |2020| Electromagnetic Simulation Using the FDTD Method with Python| |2020| Python One-Liners| |2020| Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python| |2020| Python 3 for Machine Learning| |2020| Hands-On Exploratory Data Analysis with Python: Perform EDA techniques to understand, summarize, and investigate your data| |2020| Hands-On Exploratory Data Analysis with Python: Perform EDA techniques to understand, summarize, and investigate your data| |2020| Math for Programmers: 3D graphics, machine learning, and simulations with Python MEAP V10| |2020| Math for Programmers - 3D graphics, machine learning, and simulations with Python| |2020| The Definitive Guide to Masonite: Building Web Applications with Python| |2020| The Definitive Guide to Masonite: Building Web Applications with Python| |2020| Эволюционные нейросети на языке Python| |2020| Python Programming For Beginners: The Beginner’s Guide to Learning the Basics of Python. Tips and Tricks to Master Programming Quickly with Practical Examples| |2020| Intro to Python forComputer Science and Data Science : Learning to Program with AI, Big Data and the Cloud| |2020| Python WebApp: Learn how to serve a Machine Learning Model predicting car prices (Full stack Book 1)| |2020| Python WebApp: Learn how to serve a Machine Learning Model predicting car prices (Full stack Book 1)| |2020| [PYTHON FOR BEGINNERS: A Crash Course Guide for Machine Learning and Web Programming. Learn a Computer Language in Easy Steps with Cod

Related Skills

View on GitHub
GitHub Stars8
CategoryDevelopment
Updated4mo ago
Forks3

Security Score

77/100

Audited on Nov 19, 2025

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