MANUAL OF PYTHON FOR WEB DEVELOPMENT 2024 Edition

MANUAL OF PYTHON FOR WEB DEVELOPMENT 2024 Edition
Author: Diego Rodrigues
Publisher: Diego Rodrigues
Total Pages: 153
Release: 2024-11-03
Genre: Business & Economics
ISBN:

Welcome to "Python for Web Development: Modern Frameworks and Tools". This book is an essential guide for students, professionals, and managers who want to master the technologies shaping the future of web development. Written by Diego Rodrigues, one of the world's leading technical book authors with over 180 titles published in five languages, this manual offers a comprehensive and practical approach to web development with Python. Covering everything from the basics to the most advanced practices, this book provides quick and effective learning using advanced tech writing and storytelling techniques. You will find clear theories, practical examples, case studies, and tools that will facilitate the immediate application of the acquired knowledge. Whether you are beginning your journey into the world of web development or looking to enhance your skills, this book has been carefully structured to meet your needs and exceed expectations. Each chapter has been designed to be a fundamental piece in your understanding of these technologies, ensuring that you are prepared to face challenges and seize the opportunities that the future holds. Open the sample of this book and discover how web development with Python can transform your practices, bringing innovation, efficiency, and strategic vision to your projects and business. Tags Python Django Flask FastAPI web development frameworks design backend frontend APIs RESTful GraphQL agile DevOps test automation pytest CI/CD Git GitHub Docker Kubernetes web security authentication JWT OAuth encryption SQLAlchemy ORM templates HTML CSS JavaScript React Vue.js Angular build tools Webpack continuous integration cloud deployment AWS Heroku DigitalOcean Azure cloud computing scalability load balancing microservices containers virtualization server Nginx Apache performance optimization monitoring logging debugging documentation Swagger ReDoc OpenAPI JSON Schema type hints asyncio ASGI virtual environments pip venv poetry code quality flake8 black code formatting test coverage case studies practical examples best practices innovation efficiency digital transformation Python Java Linux Kali Linux HTML ASP.NET Ada Assembly Language BASIC Borland Delphi C C# C++ CSS Cobol Compilers DHTML Fortran General HTML Java JavaScript LISP PHP Pascal Perl Prolog RPG Ruby SQL Swift UML Elixir Haskell VBScript Visual Basic XHTML XML XSL Django Flask Ruby on Rails Angular React Vue.js Node.js Laravel Spring Hibernate .NET Core Express.js TensorFlow PyTorch Jupyter Notebook Keras Bootstrap Foundation jQuery SASS LESS Scala Groovy MATLAB R Objective-C Rust Go Kotlin TypeScript Elixir Dart SwiftUI Xamarin React Native NumPy Pandas SciPy Matplotlib Seaborn D3.js OpenCV NLTK PySpark BeautifulSoup Scikit-learn XGBoost CatBoost LightGBM FastAPI Celery Tornado Redis RabbitMQ Kubernetes Docker Jenkins Terraform Ansible Vagrant GitHub GitLab CircleCI Travis CI Linear Regression Logistic Regression Decision Trees Random Forests FastAPI AI ML K-Means Clustering Support Vector Tornado Machines Gradient Boosting Neural Networks LSTMs CNNs GANs ANDROID IOS MACOS WINDOWS Nmap Metasploit Framework Wireshark Aircrack-ng John the Ripper Burp Suite SQLmap Maltego Autopsy Volatility IDA Pro OllyDbg YARA Snort ClamAV iOS Netcat Tcpdump Foremost Cuckoo Sandbox Fierce HTTrack Kismet Hydra Nikto OpenVAS Nessus ZAP Radare2 Binwalk GDB OWASP Amass Dnsenum Dirbuster Wpscan Responder Setoolkit Searchsploit Recon-ng BeEF aws google cloud ibm azure databricks nvidia meta x Power BI IoT CI/CD Hadoop Spark Pandas NumPy Dask SQLAlchemy web scraping mysql big data science openai chatgpt Handler RunOnUiThread()Qiskit Q# Cassandra Bigtable VIRUS MALWARE docker kubernetes Kali Linux Nmap Metasploit Wireshark information security pen test cybersecurity Linux distributions ethical hacking vulnerability analysis system exploration wireless attacks web application security malware analysis social engineering Android iOS Social Engineering Toolkit SET computer science IT professionals cybersecurity careers cybersecurity expertise cybersecurity library cybersecurity training Linux operating systems cybersecurity tools ethical hacking tools security testing penetration test cycle security concepts mobile security cybersecurity fundamentals cybersecurity techniques cybersecurity skills cybersecurity industry global cybersecurity trends Kali Linux tools cybersecurity education cybersecurity innovation penetration test tools cybersecurity best practices global cybersecurity companies cybersecurity solutions IBM Google Microsoft AWS Cisco Oracle cybersecurity consulting cybersecurity framework network security cybersecurity courses cybersecurity tutorials Linux security cybersecurity challenges cybersecurity landscape cloud security cybersecurity threats cybersecurity compliance cybersecurity research cybersecurity technology

Murach's Python Programming (2nd Edition)

Murach's Python Programming (2nd Edition)
Author: Joel Murach
Publisher:
Total Pages: 564
Release: 2021-04
Genre:
ISBN: 9781943872749

If you want to learn how to program but dont know where to start, this is the right book and the right language for you. From the first page, our self-paced approach will help you build competence and confidence in your programming skills. And Python is the best language ever for learning how to program because of its simplicity and breadthtwo features that are hard to find in a single language. But this isnt just a book for beginners! Our self-paced approach also works for experienced programmers, helping you learn Python faster and better than youve ever learned a language before. By the time youre through, you will have mastered the key Python skills that are needed on the job, including those for object-oriented, database, and GUI programming. To make all of this possible, section 1 presents an 8-chapter course that will get anyone off to a great start with Python. Section 2 builds on that base by presenting the other essential skills that every Python programmer should have. Section 3 shows you how to develop object-oriented programs, a critical skillset in todays world. And section 4 shows you how to apply all of the skills that youve already learned as you build database and GUI programs for the real world.

Flask Web Development

Flask Web Development
Author: Miguel Grinberg
Publisher: "O'Reilly Media, Inc."
Total Pages: 301
Release: 2018-03-05
Genre:
ISBN: 1491991690

Take full creative control of your web applications with Flask, the Python-based microframework. With the second edition of this hands-on book, youâ??ll learn Flask from the ground up by developing a complete, real-world application created by author Miguel Grinberg. This refreshed edition accounts for important technology changes that have occurred in the past three years. Explore the frameworkâ??s core functionality, and learn how to extend applications with advanced web techniques such as database migrations and an application programming interface. The first part of each chapter provides you with reference and background for the topic in question, while the second part guides you through a hands-on implementation. If you have Python experience, youâ??re ready to take advantage of the creative freedom Flask provides. Three sections include: A thorough introduction to Flask: explore web application development basics with Flask and an application structure appropriate for medium and large applications Building Flasky: learn how to build an open source blogging application step-by-step by reusing templates, paginating item lists, and working with rich text Going the last mile: dive into unit testing strategies, performance analysis techniques, and deployment options for your Flask application

The Definitive Guide to Django

The Definitive Guide to Django
Author: Jacob Kaplan-Moss
Publisher: Apress
Total Pages: 466
Release: 2008-03-08
Genre: Computers
ISBN: 1430203315

Django, the Python-based Web development framework, is one of the hottest topics in Web development today. Its creator (and co-author of this book) Adrian Holovaty has built a compelling array of Web applications using Django, including http://chicagocrime.org. Django creator Adrian Holovaty and lead developer Jacob Kaplan-Moss have created this book as the definitive guide to the technology. Beginning with fundamentals such as installation and configuration, the book tackles sophisticated features of Django, such as outputting non-HTML content such as RSS feeds and PDFs, caching, and user management. Also includes a detailed reference to Django’s many configuration options and commands.

Python Data Science Handbook

Python Data Science Handbook
Author: Jake VanderPlas
Publisher: "O'Reilly Media, Inc."
Total Pages: 609
Release: 2016-11-21
Genre: Computers
ISBN: 1491912138

For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all—IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools. Working scientists and data crunchers familiar with reading and writing Python code will find this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models. Quite simply, this is the must-have reference for scientific computing in Python. With this handbook, you’ll learn how to use: IPython and Jupyter: provide computational environments for data scientists using Python NumPy: includes the ndarray for efficient storage and manipulation of dense data arrays in Python Pandas: features the DataFrame for efficient storage and manipulation of labeled/columnar data in Python Matplotlib: includes capabilities for a flexible range of data visualizations in Python Scikit-Learn: for efficient and clean Python implementations of the most important and established machine learning algorithms

Fluent Python

Fluent Python
Author: Luciano Ramalho
Publisher: "O'Reilly Media, Inc."
Total Pages: 755
Release: 2015-07-30
Genre: Computers
ISBN: 1491946253

Python’s simplicity lets you become productive quickly, but this often means you aren’t using everything it has to offer. With this hands-on guide, you’ll learn how to write effective, idiomatic Python code by leveraging its best—and possibly most neglected—features. Author Luciano Ramalho takes you through Python’s core language features and libraries, and shows you how to make your code shorter, faster, and more readable at the same time. Many experienced programmers try to bend Python to fit patterns they learned from other languages, and never discover Python features outside of their experience. With this book, those Python programmers will thoroughly learn how to become proficient in Python 3. This book covers: Python data model: understand how special methods are the key to the consistent behavior of objects Data structures: take full advantage of built-in types, and understand the text vs bytes duality in the Unicode age Functions as objects: view Python functions as first-class objects, and understand how this affects popular design patterns Object-oriented idioms: build classes by learning about references, mutability, interfaces, operator overloading, and multiple inheritance Control flow: leverage context managers, generators, coroutines, and concurrency with the concurrent.futures and asyncio packages Metaprogramming: understand how properties, attribute descriptors, class decorators, and metaclasses work

Learning Python

Learning Python
Author: Mark Lutz
Publisher: "O'Reilly Media, Inc."
Total Pages: 1740
Release: 2013-06-12
Genre: Computers
ISBN: 1449355692

Get a comprehensive, in-depth introduction to the core Python language with this hands-on book. Based on author Mark Lutz’s popular training course, this updated fifth edition will help you quickly write efficient, high-quality code with Python. It’s an ideal way to begin, whether you’re new to programming or a professional developer versed in other languages. Complete with quizzes, exercises, and helpful illustrations, this easy-to-follow, self-paced tutorial gets you started with both Python 2.7 and 3.3— the latest releases in the 3.X and 2.X lines—plus all other releases in common use today. You’ll also learn some advanced language features that recently have become more common in Python code. Explore Python’s major built-in object types such as numbers, lists, and dictionaries Create and process objects with Python statements, and learn Python’s general syntax model Use functions to avoid code redundancy and package code for reuse Organize statements, functions, and other tools into larger components with modules Dive into classes: Python’s object-oriented programming tool for structuring code Write large programs with Python’s exception-handling model and development tools Learn advanced Python tools, including decorators, descriptors, metaclasses, and Unicode processing

The Hitchhiker's Guide to Python

The Hitchhiker's Guide to Python
Author: Kenneth Reitz
Publisher: "O'Reilly Media, Inc."
Total Pages: 331
Release: 2016-08-30
Genre: Computers
ISBN: 1491933224

The Hitchhiker's Guide to Python takes the journeyman Pythonista to true expertise. More than any other language, Python was created with the philosophy of simplicity and parsimony. Now 25 years old, Python has become the primary or secondary language (after SQL) for many business users. With popularity comes diversityâ??and possibly dilution. This guide, collaboratively written by over a hundred members of the Python community, describes best practices currently used by package and application developers. Unlike other books for this audience, The Hitchhikerâ??s Guide is light on reusable code and heavier on design philosophy, directing the reader to excellent sources that already exist.

Coding - Computer programming (beginners onwards)

Coding - Computer programming (beginners onwards)
Author: Mike Saunders
Publisher: Haynes Publishing UK
Total Pages: 0
Release: 2017-05-01
Genre: Computers
ISBN: 9781785211188

The Coding Manual teaches you everything you need to become a great programmer. Whether you need to boost your coding skills for school, work or just as a hobby, this comprehensive guide introduces the tools, terms and concepts that take you from a beginner to an experienced developer. Simple explanations and step-by-step guides ease you through the features of the Python programming language, providing you with everything you need to write code in the real world.

Python Programming

Python Programming
Author: John M. Zelle
Publisher: Franklin, Beedle & Associates, Inc.
Total Pages: 533
Release: 2004
Genre: Computers
ISBN: 1887902996

This book is suitable for use in a university-level first course in computing (CS1), as well as the increasingly popular course known as CS0. It is difficult for many students to master basic concepts in computer science and programming. A large portion of the confusion can be blamed on the complexity of the tools and materials that are traditionally used to teach CS1 and CS2. This textbook was written with a single overarching goal: to present the core concepts of computer science as simply as possible without being simplistic.