Python 🐍 Work With Data

1. Principles of Software Architecture 2. Writing Modifiable and Readable Code 3. Testability Writing Testable Code 4. Good Performance is Rewarding! 5. Writing Applications that Scale 6. Security Writing Secure Code 7. Design Patterns in Python 8. Python Architectural Patterns 9. Deploying Applications with Python 10. Techniques for Debugging

Django 3 By Example Build powerful and reliable Python web applications from scratch by Antonio Melé.pdf Learn Django 3 with four end-to-end web projects Key Features Learn Django 3 by building real-world web applications from scratch in Python, using coding best practices Integrate other technologies into your application with clear, step-by-step explanations and comprehensive example code Implement advanced functionalities like a full-text search engine, a user activity stream, or a recommendation engine Add real-time features with Django Channels and WebSockets Book Description If you want to learn the entire process of developing professional web applications with Python and Django, then this book is for you. In the process of building four professional Django projects, you will learn about Django 3 features, how to solve common web development problems, how to implement best practices, and how to successfully deploy your applications...

В этой книге вы найдете ключевые принципы, алгоритмы и компромиссы, без которых не обойтись при разработке высоконагруженных систем для работы с данными. Материал рассматривается на примере внутреннего устройства популярных программных пакетов и фреймворков. В книге три основные части, посвященные, прежде всего, теоретическим аспектам работы с распределенными системами и базами данных. От читателя требуются базовые знания SQL и принципов работы баз данных.

Reinventing ITIL in the Age of DevOps Innovative Techniques to Make Processes Agile and Relevant.pdf What You Will Learn • Discover the basics of ITIL and DevOps • Compare ITIL and DevOps • Understand the structure of a DevOps organization and adapt the ITIL roles to this structure • Re-engineer ITIL for DevOps projects • Implement major processes such as incident management, configuration management, and change management processes in DevOps projects • Automate activities within processes

Python Data Analytics With Pandas, NumPy, and Matplotlib by Fabio Nelli.pdf What You'll Learn - Understand the core concepts of data analysis and the Python ecosystem - Go in depth with pandas for reading, writing, and processing data - Use tools and techniques for data visualization and image analysis - Examine popular deep learning libraries Keras, Theano,TensorFlow, and PyTorch

Demonstrate the use of Python Requests with the help of examples Use the Requests module to deal with the inner sections of the request-response cycles Implement the RESTful Web API with Python Requests Authenticate Requests using different authentication methods Emulate server actions and interact with a mock server Interact with social networking sites such as Facebook, Twitter, and reddit Scrape the Web with Python Requests and BeautifulSoup Build your own web application with Flask

Personal Finance with Python Using pandas, Requests, and Recurrent.pdf Deal with data, build up financial formulas in code from scratch, and evaluate and think about money in your day-to-day life. This book is about Python and personal finance and how you can effectively mix the two together. In Personal Finance with Python you will learn Python and finance at the same time by creating a profit calculator, a currency converter, an amortization schedule, a budget, a portfolio rebalancer, and a purchase forecaster. Many of the examples use pandas, the main data manipulation tool in Python. Each chapter is hands-on, self-contained, and motivated by fun and interesting examples.

Python Projects for Beginners A Ten-Week Bootcamp Approach to Python Programming.pdf What You Will Learn - Understand beginning and more advanced concepts of the Python language - Be introduced to data analysis using pandas, the Python Data Analysis library - Walk through the process of interviewing and answering technical questions - Create real-world applications with the Python language - Learn how to use Anaconda, Jupyter Notebooks, and the Python Shell

Mastering Large Datasets with Python Parallelize and Distribute Your Python Code.pdf What's inside • An introduction to the map and reduce paradigm • Parallelization with the multiprocessing module and pathos framework • Hadoop and Spark for distributed computing • Running AWS jobs to process large datasets

Microsoft Power BI Quick Start Guide Build dashboards and visualizations to make your data come to life.pdf https://github.com/PacktPublishing/Microsoft-Power-BI-Quick-Start-Guide - This is the code repository for Microsoft Power BI Quick Start Guide, published by Packt. Build dashboards and visualizations to make your data come to life

Работая с книгой, вы научитесь: ∙ Использовать мощные библиотеки и инструменты Python: Pygame, Matplotlib, Plotly и Django ∙ Создавать 2D-игры разной сложности, которыми можно управлять с клавиатуры и мыши ∙ Создавать интерактивную визуализацию данных ∙ Разрабатывать, настраивать и развертывать веб-приложения ∙ Разбираться с багами и ошибками Новое издание было тщательно переработано и отражает последние достижения в практиках программирования на Python. Первая часть книги была дополнена новой информацией о f-строках, константах и управлении данными. Во второй части был обновлен код проектов. Структура проектов и код стали более чистыми и понятными, теперь они используют всю мощь популярных библиотек и инструментов, таких как Plotly и Django.

Python is one of the top 3 tools that Data Scientists use.One of the tools in their arsenal is the Pandas library.This tool is popular because it gives you so much functionality out of the box.In addition, you can use all the power of Python to make the hard stuff easy! Learning the Pandas Libraryis designed to bring developers and aspiring data scientists who are anxious to learn Pandas up to speed quickly. It starts with the fundamentals of the data structures. Then, it covers the essential functionality. It includes many examples, graphics, code samples, and plots from real world examples.

- Язык Python и библиотека Django - Модели, Контроллеры и Шаблоны - Формы и выгрузка файлов - Разграничение доступа и комментирование - Форматирование BBCode - Отправка электронной почты - Встроенный административный сайт - Полнофункциональный сайт на AJAX

Django — это мощный Рython-фреймворк для веб-приложений, который поощряет быстрое развитие и чистый, прагматичный дизайн, предлагает относительно простое обучение. Это делает его привлекательным как для новичков, так и для опытных разработчиков. В рамках данной книги вы пройдете весь путь создания полноценных веб-приложений с помощью Django. Вы научитесь работать не только с основными компонентами, предоставляемыми фреймворком, но и узнаете, как интегрировать в проект популярные сторонние инструменты. В книге описано создание приложений, которые решают реальные задачи, используют лучшие практики разработки. После прочтения этой книги у вас будет понимание того, как работает Django, как создавать практичные веб-приложения и расширять их с помощью дополнительных инструментов.

Django is a web framework for perfectionists with deadlines, designed to help you build manageable medium and large web projects in a short time span. This fourth edition of Django Web Development Cookbook is updated with Django 3's latest features to guide you effectively through the development process. This Django book starts by helping you create a virtual environment and project structure for building Python web apps. You'll learn how to build models, views, forms, and templates for your web apps and then integrate JavaScript in your Django apps to add more features. As you advance, you'll create responsive multilingual websites, ready to be shared on social networks. The book will take you through uploading and processing images, rendering data in HTML5, PDF, and Excel, using and creating APIs, and navigating different data types in Django. You'll become well-versed in security best practices and caching techniques to enhance your website's security and speed.

Key Features • Explore the latest version of Django, and learn effectively with the help of practical examples • Follow a task-based approach to develop professional web apps using Django and Python • Learn to deploy, scale, and secure apps using Docker and Amazon Web Services(AWS) What you will learn • Discover how to set the basic configurations to start any Django project • Understand full-stack web application development using Django • Build a database structure using reusable model mixins • Implement security, performance, and deployment features in your web apps • Import data from local sources and external web services and export it to your app • Secure web applications against malicious usage and find and fix common performance bottlenecks

The book was inspired by the Springer book TCSE 6: A Primer on Scientific Programming with Python (by Langtangen), but the style employed is more accessible and concise, in keeping with the needs of engineering students. The book outlines the shortest possible path from no previous experience with programming to a set of skills that allows students to write simple programs for solving common mathematical problems with numerical methods in the context of engineering and science courses. The emphasis is on generic algorithms, clean program design, the use of functions, and automatic tests for verification.

Книга посвящена разработке веб-сайтов на Python с использованием веб-фреймворка Django 2.1. Рассмотрены основные функциональные возможности, необходимые для программирования сайтов общего назначения: модели, контроллеры, шаблоны, средства обработки пользовательского ввода, выгрузка файлов, разграничение доступа и др. Рассказано о вспомогательных инструментах: посредниках, сигналах, средст-вах отправки электронной почты, подсистеме кэширования и пр. Описано форматирование текста посредством BBCode, обработка CAPTCHA, вывод графических миниатюр, аутентификация через социальные сети, интеграция с Bootstrap. Рассмотрено программирование веб-служб REST, использование административного веб-сайта Django, тестового сайта на Angular. Дан пример разработки полнофункционального веб-сайта — электронной доски объявлений. Исходный код доступен для загрузки с сайта издательства.

Pandas for Everyone. Python Data Analysis • Setting up your Python and Pandas environment • Getting started with Pandas dataframes • Using dataframes to calculate and perform basic statistical tasks • Plotting in Matplotlib • Cleaning data, reshaping dataframes, handling missing values, working with dates, and more • Building basic data analytics models • Applying machine learning techniques: both supervised and unsupervised • Creating reproducible documents using literate programming techniques

Hands-On Data Analysis with NumPy and pandas About This Book • Explore the tools you need to become a data analyst • Discover practical examples to help you grasp data processing concepts • Walk through hierarchical indexing and grouping for data analysis What You Will Learn • Understand how to install and manage Anaconda • Read, sort, and map data using NumPy and pandas • Find out how to create and slice data arrays using NumPy • Discover how to subset your DataFrames using pandas • Handle missing data in a pandas DataFrame • Explore hierarchical indexing and plotting with pandas