Python is a versatile language and its rise in popularity is certainly no surprise. Its similarity to everyday language has made it a perfect companion for the Raspberry Pi, which is often a first step into practical programming. But donβt be fooled by its beginner-friendly credentials β Python has plenty of more advanced functions. In this new edition you will learn how to program in Python, discover amazing projects to improve your understanding, and find ways to use Python to enhance your experience of computing. Youβll also create a variety of fun projects! Featuring: Get started with Python - Always wanted to have a go at programming? No more excuses, because Python is the perfect way to get started! Work with Python - Put the powerful programming language to work. Create with Python
Description If you are new to programming with Python and are looking for a solid introduction, this is the book for you. Developed by computer...
Book Synopsis Follows a fast paced coding bootcamp style structure Features 10 Python projects Covers skills necessary for several types of jobs Authored by a seasoned Python Bootcamp instructor From the Back Cover Immerse yourself in learning Python and introductory data analytics with this book's project-based approach. Through the structure of a ten-week coding bootcamp course, you'll learn key concepts and gain hands-on experience through weekly projects. Each chapter in this book is presented as a full week of topics, with Monday through Thursday covering specific concepts, leading up to Friday, when you are challenged to create a project using the skills learned throughout the week. Topics include Python basics and essential intermediate concepts such as list comprehension, generator
Python for Data Analysis - McKinney, Wes - Plaats : 525.5 #Python
Discover how to harness Python for algorithmic trading, from initial concepts to cloud deployment, with practical guidance tailored for traders and academics alike. This book offers a comprehensive approach to building and automating trading strategies using Python's powerful tools. - Paperback format for easy reference - Covers setting up Python environments for trading - Includes techniques for data retrieval from various financial sources - Explores vectorized analytics and backtesting with NumPy and pandas - Introduces machine learning and deep learning for market predictions - Demonstrates real-time data processing and integration with trading platforms like OANDA and FXCM This resource equips readers with the skills to develop and deploy automated trading strategies, ma
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Python Programming: A Step By Step Guide For Beginners SECOND EDITION Chances are, if you are viewing this page, you are brand new to Python.You might even be new to Programming altogether. Either way, you have come to the right place and chosen the right language. Python is a very beginners friendly Programming Language perfect for people who are new to the Programming world due to its straightforward approach and syntax. This book has been written keeping the beginner user in mind.Through the reading of this guide you will be led into the Programming world with a very easy Step-by-Step process. Frequently Asked Questions: Q: Is this book for beginners? If yes, can I find also some materials for the intermediate user? A: This book is though for a beginner user, it starts from
About the Book This second edition of Python Machine Learning by Sebastian Raschka is for developers and data scientists looking for a practical approach to machine learning and deep learning. In this updated edition, you'll explore the machine learning process using Python and the latest open source technologies, including scikit-learn and TensorFlow 1.x. Book Synopsis Unlock modern machine learning and deep learning techniques with Python by using the latest cutting-edge open source Python libraries. Key Features Second edition of the bestselling book on Machine Learning A practical approach to key frameworks in data science, machine learning, and deep learning Use the most powerful Python libraries to implement machine learning and deep learning Get to know the best practices to improve
Really good Python book for intermediate to experience Python programmers. It has had a little water that dripped on it as you can see on the pictures but nothing that damaged the pages, just the cover. It has 704 pages. It retails on Amazon at $37.70 without shipping or taxes.
Curious To Know More About Programming And Improve Your Skills? Then This Python Data Science Handbook Will Enable You To Quickly Progress Ahead! When it comes to the IT world, there are various options for programming platforms to choose from and start building a career. Then how to choose which one to go after? Your first guess might be one that is relatively simple, easy to use, and perhaps compatible with other software. Then, there should be good resources that you can lean on so that you can actually start coding as soon as possible.Guess What? Python Combines All Of These Features, and With The Help Of This Great Handbook, In A Matter Of Weeks, You Will Be Writing Your Own Coding And Even Performing Errands!Going through This Book, you will: Quickly Understand How Python Works and
Boost your Python journey from zero to working code with a clear, beginner-friendly, step-by-step path you can start using from Day One. - Structured to build concepts in a logical order, with hands-on exercises and real projects - Focus on writing clean, working code from scratch and debugging confidently - Practical, project-based approach that reinforces learning through repetition and application - Covers core programming concepts in an accessible way, with guided examples - Brand: Independently Published; Category: Books/Print Books This book helps you move from confusion to confident coding with a straightforward, no-fluff plan you can rely on as you learn.
Book Synopsis Our physical world is grounded in three dimensions. To create technology that can reason about and interact with it, our data must be 3D too. This practical guide offers data scientists, engineers, and researchers a hands-on approach to working with 3D data using Python. From 3D reconstruction to 3D deep learning techniques, you'll learn how to extract valuable insights from massive datasets, including point clouds, voxels, 3D CAD models, meshes, images, and more. Dr. Florent Poux helps you leverage the potential of cutting-edge algorithms and spatial AI models to develop production-ready systems with a focus on automation. You'll get the 3D data science knowledge and code to: Understand core concepts and representations of 3D data Load, manipulate, analyze, and visualize 3D
Python for Data Analysis (3rd Edition) by Wes McKinney -- Data Wrangling with pandas, NumPy & Jupyter The definitive, hands-on guide to data analysis in Python -- written by Wes McKinney, the original creator of the pandas library. This book is the go-to resource for analysts, engineers, and students who want to manipulate, clean, and analyze real-world datasets using Python. π 582 pages | Digital Download (PDF Format) π Table of Contents Preliminaries Python Language Basics, IPython, and Jupyter Notebooks Built-in Data Structures, Functions, and Files NumPy Basics: Arrays and Vectorized Computation Getting Started with pandas Data Loading, Storage, and File Formats Data Cleaning and Preparation Data Wrangling: Join, Combine, and Reshape Plotting and Visualization Data Aggregation and Gr
Create Popular and Profitable Apps In Python! Are you curious about Python? Do you want to get started in computer programming with this easy and powerful language? Would you like to join the massive online community of Python users and developers? If so, Python - The Comprehensive Guide to Python Programming for Beginners is the book you've been waiting for! It includes thorough, complete instructions for all of the basic aspects of Python. You'll undertake a variety of exercises, but don't worry - the answers are in the back! Did you know that programmers have written many of today's most popular applications (like YouTube) in the Python language? It's true - when you get the solid grounding in Python this book offers, you'll be ready to enter the real world of power programming. This ob
About the Book This book is designed for MLOps and ML engineers, data scientists, and software developers who want to build robust solutions that use machine learning to solve real-world problems. Book Synopsis Transform your machine learning projects into successful deployments with this practical guide on how to build and scale solutions that solve real-world problems Includes a new chapter on generative AI and large language models (LLMs) and building a pipeline that leverages LLMs using LangChain Key Features This second edition delves deeper into key machine learning topics, CI/CD, and system design Explore core MLOps practices, such as model management and performance monitoring Build end-to-end examples of deployable ML microservices and pipelines using AWS and open-source tools Boo
Getting the most out of Python to improve your codebase Key Features Save maintenance costs by learning to fix your legacy codebase Learn the principles and techniques of refactoring Apply microservices to your legacy systems by implementing practical techniques Book Description Python is currently used in many different areas such as software construction, systems administration, and data processing. In all of these areas, experienced professionals can find examples of inefficiency, problems, and other perils, as a result of bad code. After reading this book, readers will understand these problems, and more importantly, how to correct them. The book begins by describing the basic elements of writing clean code and how it plays an important role in Python programming. You will learn about
Nowadays, analysts must manage data characterized by extraordinary variety, velocity, and volume.Using Machine Learning and Data visualization, you can automate and perform virtually any data analysis task, no matter how large or complex the data is . So it become necessary to learn how to visualize data in order to make decision. This book come to fulfill this needs and give you the necessary tools to become more comfortable with Data Analysis.Why This Book ? A Detailed explanation of main topics: It can be to frustrating to understand to difference between terms in Data science so this book assist you all the way to put you in the right path of learning . From the basics to the most complex used topics in data Analysis .Data science Process: A complete explanation of Data science steps
Python GUI Programming Cookbook. by Burkhard Meier
Book Synopsis As Python continues to grow in popularity, projects are becoming larger and more complex. Many Python developers are taking an interest in high-level software design patterns such as hexagonal/clean architecture, event-driven architecture, and the strategic patterns prescribed by domain-driven design (DDD). But translating those patterns into Python isn't always straightforward. With this hands-on guide, Harry Percival and Bob Gregory from MADE.com introduce proven architectural design patterns to help Python developers manage application complexity--and get the most value out of their test suites. Each pattern is illustrated with concrete examples in beautiful, idiomatic Python, avoiding some of the verbosity of Java and C# syntax. Patterns include: Dependency inversion and
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Python is one of the most popular and fastest growing languages. The main essence of the language is its conciseness and multidisciplinary applications covering almost every aspect of today's on-going research. Python is a powerful, flexible, and easy-to-use language. This book mainly focuses on Placement based coding preprartion and focus towards pattern programs which are readily asked in Interview and Technical Written of Multi-National companies. This will help students to practice coding and logic building. Author: Anjali SharmaPublisher: Notion PressPublication Date: Aug 03, 2022Number of Pages: 108 pagesBinding: Paperback or SoftbackISBN-10: NAISBN-13: 9798887728346
