Mongodb And Python

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Mongodb And Python

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Author : Niall O'Higgins
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2011-09-23

Mongodb And Python written by Niall O'Higgins and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-09-23 with Computers categories.

Learn how to leverage MongoDB with your Python applications, using the hands-on recipes in this book. You get complete code samples for tasks such as making fast geo queries for location-based apps, efficiently indexing your user documents for social-graph lookups, and many other scenarios. This guide explains the basics of the document-oriented database and shows you how to set up a Python environment with it. Learn how to read and write to MongoDB, apply idiomatic MongoDB and Python patterns, and use the database with several popular Python web frameworks. You’ll discover how to model your data, write effective queries, and avoid concurrency problems such as race conditions and deadlocks. The recipes will help you: Read, write, count, and sort documents in a MongoDB collection Learn how to use the rich MongoDB query language Maintain data integrity in replicated/distributed MongoDB environments Use embedding to efficiently model your data without joins Code defensively to avoid keyerrors and other bugs Apply atomic operations to update game scores, billing systems, and more with the fast accounting pattern Use MongoDB with the Pylons 1.x, Django, and Pyramid web frameworks

Data Science Fundamentals For Python And Mongodb

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Author : David Paper
language : en
Publisher: Apress
Release Date : 2018-05-10

Data Science Fundamentals For Python And Mongodb written by David Paper and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-05-10 with Computers categories.

Build the foundational data science skills necessary to work with and better understand complex data science algorithms. This example-driven book provides complete Python coding examples to complement and clarify data science concepts, and enrich the learning experience. Coding examples include visualizations whenever appropriate. The book is a necessary precursor to applying and implementing machine learning algorithms. The book is self-contained. All of the math, statistics, stochastic, and programming skills required to master the content are covered. In-depth knowledge of object-oriented programming isn’t required because complete examples are provided and explained. Data Science Fundamentals with Python and MongoDB is an excellent starting point for those interested in pursuing a career in data science. Like any science, the fundamentals of data science are a prerequisite to competency. Without proficiency in mathematics, statistics, data manipulation, and coding, the path to success is “rocky” at best. The coding examples in this book are concise, accurate, and complete, and perfectly complement the data science concepts introduced. What You'll Learn Prepare for a career in data science Work with complex data structures in Python Simulate with Monte Carlo and Stochastic algorithms Apply linear algebra using vectors and matrices Utilize complex algorithms such as gradient descent and principal component analysis Wrangle, cleanse, visualize, and problem solve with data Use MongoDB and JSON to work with data Who This Book Is For The novice yearning to break into the data science world, and the enthusiast looking to enrich, deepen, and develop data science skills through mastering the underlying fundamentalsthat are sometimes skipped over in the rush to be productive. Some knowledge of object-oriented programming will make learning easier.

Introduction To Tornado

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Author : Michael Dory
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2011-09-30

Introduction To Tornado written by Michael Dory and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-09-30 with Computers categories.

Presents a guide to the computer file Tornado, focusing on forms and templates, extending templates, databases, and other topics.

Full Stack Development With Mongodb

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Author : MANU SHARMA
language : en
Publisher: BPB Publications
Release Date : 2022-04-21

Full Stack Development With Mongodb written by MANU SHARMA and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-04-21 with Computers categories.

Learn Full Stack Development (Frontend, Backend, APIs and Mobile App) with Python, PHP, Node.js, React Native and MongoDB KEY FEATURES ● Covers full stack development from start to finish, including frontend, backend, API and mobile app development. ● Includes well-known programming environments such as Node.js, React Native, Python, and PHP. ● Practical examples, crisp code, and detailed screenshots are provided for every chapter. DESCRIPTION Full-Stack Development with MongoDB and Scaling Your Expertise to Web and Mobile App Development is the goal of this book. Starting with the basics, the book will assist any programmer and developer and those who deal with NodeJS, PHP, Python and React Native in setting up their working environment with MongoDB. Various full-stack configurations of libraries and frameworks for mobile and web applications are covered in length in this book. REST API, CRUD operations are also explained in a detailed manner. The skills you learn to use PHP, ExpressJS, NodeJS, Python and React Native become increasingly solid as time goes on. Everything in this book has been explained so that, once you begin working on the practical development while reading it, you will be more experienced in software development, both in web and mobile technologies, when you finish reading it. WHAT YOU WILL LEARN ● Gain exposure to all of the fundamental concepts of Full Stack Development. ● Run to perform PHP and MongoDB CRUD operations. ● Learn how to build RESTFul APIs. ● Acquire expertise with popular web technologies such as Node.js, Express.js, Python and Django Framework. ● Work with React Native and develop mobile applications based on MongoDB. WHO THIS BOOK IS FOR This book is for individuals interested in learning Full Stack Development with MongoDB and expanding their expertise to design web and mobile applications with MongoDB. Readers with a working knowledge of MongoDB and any programming language can make maximum use of the book. TABLE OF CONTENTS Full Stack development with MongoDB Software Development Basic Topics 1. Client and Server Side Concepts and Introduction to MongoDB Drivers 2. Data Addition using MongoDB Compass Full Stack development with MongoDB Software Development Intermediate Topics 3. Starting up Programming with MongoDB and PHP 4. Starting up Programming with MongoDB and JavaScript (Node.js) 5. Starting up Programming with MongoDB and React Native 6. Starting up Programming with MongoDB and Python 7. Full Stack Development using MongoDB Full Stack Development with MongoDB Software Development Advanced Topics 8. MongoDB Step by Step Practical Application Development Using PHP 9. MongoDB Step by Step Practical Application Development Using JavaScript (Node.js with Express.js) 10. MongoDB Step by Step Practical Mobile App Development Using React Native 11. MongoDB Step by Step Practical Web Development Using Python

Mysql For Python

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Author : Albert Lukaszewski
language : en
Publisher: Packt Publishing Ltd
Release Date : 2010-09-21

Mysql For Python written by Albert Lukaszewski and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-09-21 with Computers categories.

This is a practical, tutorial-style book that includes many examples to demonstrate the full potential of MySQL for Python. Every chapter starts with an explanation of the various areas for using MySQL for Python and ends with work on a sample application using the programming calls just learned. All complicated concepts are broken down to be very easy to understand. Everything in the book is designed to help you learn and use MySQL for Python to address your programming needs in the fastest way possible. This book is meant for intermediate users of Python who want hassle-free access to their MySQL database through Python. If you are a Python programmer who wants database-support in your Python applications, then this book is for you. This book is a must-read for every focused user of the MySQL for Python library who wants real-world applications using this powerful combination of Python and MySQL.

Artificial Intelligence Programming With Python

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Author : Perry Xiao
language : en
Publisher: John Wiley & Sons
Release Date : 2022-02-21

Artificial Intelligence Programming With Python written by Perry Xiao and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-21 with Computers categories.

A hands-on roadmap to using Python for artificial intelligence programming In Practical Artificial Intelligence Programming with Python: From Zero to Hero, veteran educator and photophysicist Dr. Perry Xiao delivers a thorough introduction to one of the most exciting areas of computer science in modern history. The book demystifies artificial intelligence and teaches readers its fundamentals from scratch in simple and plain language and with illustrative code examples. Divided into three parts, the author explains artificial intelligence generally, machine learning, and deep learning. It tackles a wide variety of useful topics, from classification and regression in machine learning to generative adversarial networks. He also includes: Fulsome introductions to MATLAB, Python, AI, machine learning, and deep learning Expansive discussions on supervised and unsupervised machine learning, as well as semi-supervised learning Practical AI and Python “cheat sheet” quick references This hands-on AI programming guide is perfect for anyone with a basic knowledge of programming—including familiarity with variables, arrays, loops, if-else statements, and file input and output—who seeks to understand foundational concepts in AI and AI development.

The Definitive Guide To Mongodb

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Author : Peter Membrey
language : en
Publisher: Apress
Release Date : 2011-01-27

The Definitive Guide To Mongodb written by Peter Membrey and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-01-27 with Computers categories.

MongoDB, a cross-platform NoSQL database, is the fastest-growing new database in the world. MongoDB provides a rich document-oriented structure with dynamic queries that you’ll recognize from RDBMS offerings such as MySQL. In other words, this is a book about a NoSQL database that does not require the SQL crowd to re-learn how the database world works! MongoDB has reached 1.0 and boasts 50,000+ users. The community is strong and vibrant and MongoDB is improving at a fast rate. With scalable and fast databases becoming critical for today’s applications, this book shows you how to install, administer and program MongoDB without pretending SQL never existed.

Mongodb Fundamentals

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Author : Amit Phaltankar
language : en
Publisher: Packt Publishing Ltd
Release Date : 2020-12-22

Mongodb Fundamentals written by Amit Phaltankar and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-22 with Computers categories.

Learn how to deploy and monitor databases in the cloud, manipulate documents, visualize data, and build applications running on MongoDB using Node.js Key FeaturesLearn the fundamentals of NoSQL databases with MongoDBCreate, manage, and optimize a MongoDB database in the cloud using AtlasUse a real-world dataset to gain practical experience of handling big dataBook Description MongoDB is one of the most popular database technologies for handling large collections of data. This book will help MongoDB beginners develop the knowledge and skills to create databases and process data efficiently. Unlike other MongoDB books, MongoDB Fundamentals dives into cloud computing from the very start – showing you how to get started with Atlas in the first chapter. You will discover how to modify existing data, add new data into a database, and handle complex queries by creating aggregation pipelines. As you progress, you'll learn about the MongoDB replication architecture and configure a simple cluster. You will also get to grips with user authentication, as well as techniques for backing up and restoring data. Finally, you'll perform data visualization using MongoDB Charts. You will work on realistic projects that are presented as bitesize exercises and activities, allowing you to challenge yourself in an enjoyable and attainable way. Many of these mini-projects are based around a movie database case study, while the last chapter acts as a final project where you will use MongoDB to solve a real-world problem based on a bike-sharing app. By the end of this book, you'll have the skills and confidence to process large volumes of data and tackle your own projects using MongoDB. What you will learnSet up and use MongoDB Atlas on the cloudInsert, update, delete, and retrieve data from MongoDBBuild aggregation pipelines to perform complex queriesOptimize queries using indexesMonitor databases and manage user authorizationImprove scalability and performance with sharding clustersReplicate clusters, back up your database, and restore dataCreate data-driven charts and reports from real-time dataWho this book is for This book is designed for people who are new to MongoDB. It is suitable for developers, database administrators, system administrators, and cloud architects who are looking to use MongoDB for smooth data processing in the cloud. Although not necessary, basic knowledge of a general programming language and experience with other databases will help you grasp the topics covered more easily.

Python Data Persistence

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Author : Malhar Lathkar
language : en
Publisher: BPB Publications
Release Date : 2019-09-19

Python Data Persistence written by Malhar Lathkar and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-19 with Computers categories.

Designed to provide an insight into the SQL and MySQL database concepts using python DESCRIPTION Python is becoming increasingly popular among data scientists. However, analysis and visualization tools need to interact with the data stored in various formats such as relational and NOSQL databases. This book aims to make the reader proficient in interacting with databases such as MySQL, SQLite, MongoDB, and Cassandra. This book assumes that the reader has no prior knowledge of programming. Hence, basic programming concepts, key concepts of OOP, serialization and data persistence have been explained in such a way that it is easy to understand. NOSQL is an emerging technology. Using MongoDB and Cassandra, the two widely used NOSQL databases are explained in detail. The knowhow of handling databases using Python will certainly be helpful for readers pursuing a career in Data Science. KEY FEATURES A practical approach Ample code examples A Quick Start Guide to Python for beginners WHAT WILL YOU LEARN Python basics and programming fundamentals Serialization libraries pickle, CSV, JSON, and XML DB-AP and, SQLAlchemy Python with Excel documents Python with MongoDB and Cassandra WHO THIS BOOK IS FOR Students and professionals who want to become proficient at database tools for a successful career in data science. Table of Contents 1. Ê Ê Getting Started 2. Ê Ê Program Flow Control 3. Ê Ê Structured Python 4. Ê Ê Python Ð OOP 5. Ê Ê File IO 6. Ê Ê Object Serialization 7. Ê Ê RDBMS Concepts 8. Ê Ê Python DB-API 9. Ê Ê Python Ð SQLAlchemy 10. Ê Python and Excel 11. Ê Python Ð PyMongo 12. Ê Python Ð Cassandra

Thinking In Pandas

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Author : Hannah Stepanek
language : en
Publisher: Apress
Release Date : 2020-06-05

Thinking In Pandas written by Hannah Stepanek and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-05 with Computers categories.

Understand and implement big data analysis solutions in pandas with an emphasis on performance. This book strengthens your intuition for working with pandas, the Python data analysis library, by exploring its underlying implementation and data structures. Thinking in Pandas introduces the topic of big data and demonstrates concepts by looking at exciting and impactful projects that pandas helped to solve. From there, you will learn to assess your own projects by size and type to see if pandas is the appropriate library for your needs. Author Hannah Stepanek explains how to load and normalize data in pandas efficiently, and reviews some of the most commonly used loaders and several of their most powerful options. You will then learn how to access and transform data efficiently, what methods to avoid, and when to employ more advanced performance techniques. You will also go over basic data access and munging in pandas and the intuitive dictionary syntax. Choosing the right DataFrame format, working with multi-level DataFrames, and how pandas might be improved upon in the future are also covered. By the end of the book, you will have a solid understanding of how the pandas library works under the hood. Get ready to make confident decisions in your own projects by utilizing pandas—the right way. What You Will Learn Understand the underlying data structure of pandas and why it performs the way it does under certain circumstances Discover how to use pandas to extract, transform, and load data correctly with an emphasis on performance Choose the right DataFrame so that the data analysis is simple and efficient. Improve performance of pandas operations with other Python libraries Who This Book Is ForSoftware engineers with basic programming skills in Python keen on using pandas for a big data analysis project. Python software developers interested in big data.