Python on Wijnand Baretta

Python for Kids: A Playful Introduction To Programming

Fri, 10 Apr 2020 00:00:00 +0000

Python for Kids: A Playful Introduction To Programming

Summary:

“Python for Kids: A Playful Introduction to Programming” by Jason Briggs is a beginner-friendly guide designed to introduce children and young readers to the world of programming through the Python language. The book covers fundamental programming concepts such as variables, loops, functions, and data structures in an engaging and accessible manner. It uses simple language and fun examples to explain coding principles, encouraging kids to experiment and build their own projects. The book is structured with a combination of explanations, illustrations, and practical exercises, making it easy for young learners to follow along and apply their newly acquired skills.

Python Cookbook: Recipes for Mastering Python 3

Thu, 12 Dec 2019 00:00:00 +0000

Python Cookbook: Recipes for Mastering Python 3

Summary

“Python Cookbook: Recipes for Mastering Python 3” by Brian K. Jones and David Beazley is a comprehensive guide for intermediate to advanced Python programmers who want to delve deeper into the language. The book is structured around practical recipes that address common programming challenges and tasks. Each recipe provides a detailed solution along with a discussion of how it works and potential variations. The book covers a wide range of topics, including data structures, algorithms, strings, files, networking, and concurrency, emphasizing idiomatic Python 3 usage.

Python Programming Exercises, Gently Explained

Tue, 20 Aug 2019 00:00:00 +0000

Python Programming Exercises, Gently Explained

Summary

Introduction – Programming with numbers and strings – Decsions – Loops – Functions – Lists – Files and exceptions – Sets and dictionaries – Objects and classes – Inheritance – Recursion – Sorting and searching.

Flask Web Development: Developing Web Applications with Python

Wed, 17 Jul 2019 00:00:00 +0000

Flask Web Development: Developing Web Applications with Python

Summary

“Flask Web Development: Developing Web Applications with Python” by Miguel Grinberg is a comprehensive guide to building web applications using the Flask framework and the Python programming language. The book is structured to cater to both beginners and intermediate developers, providing a step-by-step approach to creating robust web applications. It covers the essentials of Flask, such as templates, forms, and databases, and delves into advanced topics like deployment, testing, and application structure. The book includes numerous hands-on projects that help solidify the reader’s understanding of Flask’s capabilities and best practices.

Python for Informatics: Exploring Information: Exploring Information

Sat, 13 Jul 2019 00:00:00 +0000

Python for Informatics: Exploring Information

Summary

“Python for Informatics: Exploring Information” by Charles Russell Severance is an educational guide intended for beginners to learn programming through Python, specifically designed for those interested in information sciences. The book covers elementary programming concepts and techniques, using Python as the language of instruction. It emphasizes data processing, manipulation, and extraction, equipping readers with the skills needed to work with information effectively. The book progresses through various topics starting from the basics of Python, working towards more complex subjects such as web data retrieval and databases.

Fluent Python: Clear, Concise, and Effective Programming

Thu, 18 Oct 2018 00:00:00 +0000

Fluent Python: Clear, Concise, and Effective Programming

Summary

“Fluent Python: Clear, Concise, and Effective Programming” by Luciano Ramalho is a comprehensive guide to mastering Python 3 by leveraging its most powerful features and idioms. The book aims to help experienced Python programmers write more efficient and readable code by delving into the inner workings of Python. It covers a wide range of topics, including data structures, object-oriented programming, functions, metaprogramming, and concurrency. Ramalho focuses on writing Pythonic code—code that embraces the strengths and quirks of the language rather than simulating styles from other languages.

Learning the Pandas Library: Python Tools for Data Munging, Analysis, and Visualization (Treading on Python Book 3)

Sat, 19 May 2018 00:00:00 +0000

Learning the Pandas Library: Python Tools for Data Munging, Analysis, and Visualization

Summary

“Learning the Pandas Library: Python Tools for Data Munging, Analysis, and Visualization” by Matt Harrison is a practical guide for data scientists, analysts, and enthusiasts who seek to harness the power of the pandas library in Python. The book covers the essential features and functionalities of pandas, providing comprehensive insights into data manipulation, cleaning, transformation, analysis, and visualization. Through a series of examples and hands-on exercises, readers are taught how to efficiently handle large datasets and derive meaningful insights using pandas.

Python for Everybody: Exploring Data in Python 3

Sun, 29 Apr 2018 00:00:00 +0000

Python for Everybody: Exploring Data in Python 3

Summary

“Python for Everybody: Exploring Data in Python 3” by Charles Severance is an introductory textbook that focuses on teaching the basics of Python programming with an emphasis on data exploration. The book is designed to be accessible to beginners and covers fundamental programming concepts such as variables, expressions, functions, loops, and data structures. It gradually introduces more advanced topics such as web scraping, using web services, and working with databases. The book’s practical approach involves real-world examples and exercises, which help readers understand how to utilize Python for data manipulation and analysis.

Python: Programming: Your Step By Step Guide To Easily Learn Python in 7 Days (Python for Beginners, Python Programming for Beginners, Learn Python, Python Language)

Fri, 16 Feb 2018 00:00:00 +0000

Python: Programming: Your Step By Step Guide To Easily Learn Python in 7 Days

Summary

“Python: Programming: Your Step By Step Guide To Easily Learn Python in 7 Days” by iCode Academy aims to introduce beginners to the world of Python programming. The book breaks down complex programming concepts into manageable chunks, enabling readers to grasp Python’s fundamentals quickly. With a focus on practical examples, the book covers basic concepts such as data types, variables, control structures, functions, and error handling. Additionally, it provides an overview of more advanced topics like file handling and simple data structures, with each chapter designed to build upon the last to solidify understanding.

Python Data Science Handbook: Essential Tools for Working with Data

Mon, 12 Feb 2018 00:00:00 +0000

Python Data Science Handbook: Essential Tools for Working with Data

Summary

The “Python Data Science Handbook” by Jake VanderPlas is a comprehensive guide that equips readers with essential tools and techniques for data science using the Python programming language. The book covers a range of topics crucial for data analysis, including IPython, NumPy, pandas, matplotlib, Scikit-Learn, and more. It is structured to be both a reference and a tutorial, providing practical insights and examples that demonstrate how to leverage these tools effectively. The author assumes readers have some familiarity with Python, but the book is crafted in a way to guide them from the basics to more complex tasks in data science.

Pandas Cookbook: Recipes for Scientific Computing, Time Series Analysis and Data Visualization using Python

Fri, 19 Jan 2018 00:00:00 +0000

Pandas Cookbook: Recipes for Scientific Computing, Time Series Analysis and Data Visualization using Python

Summary

“Pandas Cookbook” by Theodore Petrou is a comprehensive guide designed for data analysts and enthusiasts who aim to leverage the power of the pandas library in Python. The book offers a collection of practical recipes structured around real-world scenarios that demonstrate how to utilize pandas for scientific computing, time series analysis, and data visualization. It emphasizes transforming raw data into insightful analysis through the effective use of pandas’ functionalities, covering essential aspects like data cleaning, manipulation, aggregation, and visualization.

Learn Python 3 the Hard Way: A Very Simple Introduction to the Terrifyingly Beautiful World of Computers and Code (Zed Shaw's Hard Way Series)

Wed, 11 Oct 2017 00:00:00 +0000

Learn Python 3 the Hard Way: A Very Simple Introduction to the Terrifyingly Beautiful World of Computers and Code

Summary

“Learn Python 3 the Hard Way” by Zed A. Shaw offers a straightforward introduction to programming in Python 3. The book eschews lecture-style teaching in favor of hand-on exercises. It guides readers through a series of exercises designed to develop coding skills through practice and repetition. Each exercise targets a specific aspect of programming, such as basic syntax, data structures, and functions, aiming to build competence through active engagement with the material.

Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow, 2nd Edition

Wed, 13 Sep 2017 00:00:00 +0000

Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow, 2nd Edition

Authors: Sebastian Raschka, Vahid Mirjalili

Summary

“Python Machine Learning” by Sebastian Raschka and Vahid Mirjalili is a comprehensive guide for those looking to delve into the fields of machine learning and deep learning using Python. The book covers an array of fundamental and advanced topics, starting from basic concepts of machine learning, moving towards more sophisticated techniques like deep learning with different libraries and tools, specifically scikit-learn and TensorFlow. It illustrates practical implementations, providing hands-on experience by guiding the reader through coding examples that solve real-world problems. It also includes explanations of algorithms and models in a way that aims to make machine learning accessible for practitioners at various levels of expertise.

Serious Python: Black-Belt Advice on Deployment, Scalability, Testing, and More

Thu, 24 Aug 2017 00:00:00 +0000

Serious Python: Black-Belt Advice on Deployment, Scalability, Testing, and More

Summary

“Serious Python: Black-Belt Advice on Deployment, Scalability, Testing, and More” by Julien Danjou is a pragmatic guide aimed at intermediate to advanced Python programmers looking to deepen their understanding of the language and improve their coding practices. The book delves into complex topics such as deployment, scalability, and testing, offering readers strategic advice and techniques to master professional Python programming. It covers best practices that enable efficient coding, robust testing mechanisms, seamless deployment strategies, and ways to scale applications effectively.

Learn More Python 3 the Hard Way: The Next Step for New Python Programmers (Zed Shaw's Hard Way Series)

Tue, 08 Aug 2017 00:00:00 +0000

Learn More Python 3 the Hard Way: The Next Step for New Python Programmers

Summary

“Learn More Python 3 the Hard Way” by Zed A. Shaw is a continuation of the “Hard Way” series aimed at helping new Python programmers advance their skills. The book focuses on deeper concepts in Python programming through a series of exercises and projects. The reader is guided to explore data structures, object-oriented programming, and software testing, enhancing their coding practices and problem-solving capabilities. Shaw emphasizes hands-on learning by encouraging readers to manually type out code and work through practical examples to solidify their understanding.

Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython

Tue, 11 Jul 2017 00:00:00 +0000

Overview of Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython by Wes McKinney

Summary

Python for Data Analysis by Wes McKinney is a comprehensive guide aimed at providing readers with the necessary skills to perform data analysis using Python. The book primarily focuses on the libraries Pandas, NumPy, and IPython, which are powerful tools for data manipulation and analysis. It covers a range of topics from data cleaning, preparation, and transformation to data visualization. McKinney, who is also the creator of the Pandas library, introduces readers to efficient techniques for handling data, offering a hands-on approach with practical examples.

Two Scoops of Django 1.11: Best Practices for the Django Web Framework

Wed, 21 Jun 2017 00:00:00 +0000

Overview of Two Scoops of Django 1.11: Best Practices for the Django Web Framework

Summary

“Two Scoops of Django 1.11: Best Practices for the Django Web Framework” is a comprehensive guide aimed at providing developers with the best practices for working with the Django web framework, focusing specifically on version 1.11. Authored by Audrey Roy Greenfeld and Daniel Roy Greenfeld, it covers a wide range of topics including project setup, application structure, working with models, forms, views, and templates, as well as testing and deployment strategies. The book is designed for both intermediate and experienced Django developers who wish to deepen their understanding of Django and improve their coding practices.

Python Testing with pytest: Simple, Rapid, Effective, and Scalable

Mon, 05 Jun 2017 00:00:00 +0000

Python Testing with pytest: Simple, Rapid, Effective, and Scalable

Summary

Python Testing with pytest is an informative guide written by Brian Okken, focusing on the usage of the pytest framework for testing Python code. The book covers various aspects of testing using pytest, including installation, basic usage, and advanced features. It offers a comprehensive introduction to the methodology and philosophy of pytest, highlighting its simplicity and effectiveness. The book addresses setting up your test environment, writing effective test cases, and leveraging pytest’s features such as fixtures, parameterization, and plugins to write scalable and maintainable test suites.

Build your first website with Python and Django: Build and Deploy a website with Python 3.6 and Django 1.11

Thu, 01 Jun 2017 00:00:00 +0000

Build Your First Website with Python and Django: Build and Deploy a Website with Python 3.6 and Django 1.11

Summary

“Build Your First Website with Python and Django” by Nigel George is a practical guide aimed at beginners interested in web development using Python and Django. The book provides step-by-step instructions on how to create and deploy a website, beginning with the basics of setting up a development environment and progressing through to more complex features such as database integration and user authentication. Written specifically for Python version 3.6 and Django version 1.11, the book focuses on the fundamental concepts of web development, effectively bridging the gap between beginner understanding and real-world application deployment.

Impractical Python Projects: Playful Programming Activities to Make You Smarter

Sun, 30 Apr 2017 00:00:00 +0000

Impractical Python Projects: Playful Programming Activities to Make You Smarter

Summary

“Impractical Python Projects: Playful Programming Activities to Make You Smarter” by Lee Vaughan is a creative and engaging book that introduces readers to the world of programming through a series of quirky and fun projects. These projects, designed for programmers of all levels, focus on solving unlikely and whimsical problems using Python. The book covers diverse subjects, including mathematics, science, simulation, and more, with each chapter providing hands-on challenges that encourage readers to think critically and creatively.

A Smarter Way to Learn Python: Learn it faster. Remember it longer.

Tue, 18 Apr 2017 00:00:00 +0000

A Smarter Way to Learn Python: Learn it faster. Remember it longer by Mark Myers

Summary

“A Smarter Way to Learn Python” by Mark Myers is an instructional guide designed for beginners who are new to Python programming. The book is part of a series known for its unique approach to teaching coding in a digestible and engaging way. Myers utilizes a method that breaks lessons into manageable chunks, which are followed by exercises to reinforce learning. The book covers fundamental Python programming concepts, including variables, loops, functions, data structures, and file handling, all while promoting practical application through frequent coding practice.

Python Tricks: A Buffet of Awesome Python Features

Fri, 14 Apr 2017 00:00:00 +0000

Overview of Python Tricks: A Buffet of Awesome Python Features by Dan Bader

Summary

Python Tricks: A Buffet of Awesome Python Features by Dan Bader is a resource designed to enrich Python developers with practical knowledge and advanced techniques. The book aims to transform basic Python skills into proficient, real-world problem-solving abilities. It covers a variety of topics such as Pythonic thinking, common best practices, and lesser-known features of the language that can make coding more efficient and effective. The book is structured around concise and focused sections, each offering insights into specific Python functionalities and practices, thereby enabling developers to write cleaner, more efficient, and idiomatic Python code.

Pandas for Everyone: Python Data Analysis (Addison-Wesley Data & Analytics Series)

Thu, 06 Apr 2017 00:00:00 +0000

Pandas for Everyone: Python Data Analysis

Summary

“Pandas for Everyone: Python Data Analysis” by Daniel Y. Chen is a comprehensive guide aimed at introducing and advancing one’s capabilities with the Pandas library in Python, an essential tool for data analysis tasks. The book focuses on providing a deep understanding of how to analyze and manipulate structured data with Pandas. It covers essential concepts such as dataset structures, advanced data cleaning, indexing, reshaping, aggregation, time series analysis, and merging datasets. Additionally, the book touches on more advanced topics like visualization and optimizing performance for large datasets. The content is structured to benefit everyone from beginners with a basic understanding of Python to more advanced users looking to refine their Pandas proficiency.

Web Scraping with Python: Collecting More Data from the Modern Web

Thu, 12 Jan 2017 00:00:00 +0000

Web Scraping with Python: Collecting More Data from the Modern Web

Summary

“Web Scraping with Python: Collecting More Data from the Modern Web” by Ryan Mitchell is a comprehensive guide that delves into the techniques and tools needed to extract data from websites efficiently. This book covers various aspects of web scraping, including simple techniques for beginners and more complex methods for advanced users. It explains how to work with different web technologies, handle data types, format the scraped data, and ensure ethical and legal compliance. The book emphasizes practical implementation, using Python as the primary language for examples, and it discusses libraries and frameworks like Beautiful Soup, Scrapy, and Selenium.

Practical Web Scraping for Data Science: Best Practices and Examples with Python

Sat, 31 Dec 2016 00:00:00 +0000

Practical Web Scraping for Data Science: Best Practices and Examples with Python

Summary

“Practical Web Scraping for Data Science: Best Practices and Examples with Python” by Bart Baesens and Seppe vanden Broucke provides a comprehensive guide to web scraping using Python, tailored specifically for data science applications. The book offers a systematic approach to extracting valuable data from the web, emphasizing best practices, ethical considerations, and efficient techniques. It covers various tools and libraries, such as BeautifulSoup, Scrapy, and Selenium, and demonstrates how to navigate through common challenges in web scraping. The authors aim to arm readers with the skills to retrieve, clean, and analyze web data to derive actionable insights and support data-driven decision-making.

Hands-On Natural Language Processing with Python: A practical guide to applying deep learning architectures to your NLP applications

Sun, 13 Nov 2016 00:00:00 +0000

Hands-On Natural Language Processing with Python

Summary

“Hands-On Natural Language Processing with Python” by Rajalingappaa Shanmugamani and Rajesh Arumugam is a comprehensive guide designed to help practitioners and enthusiasts dive deep into the world of Natural Language Processing (NLP) using Python. The book covers various deep learning architectures and their application in NLP tasks, offering practical insights and examples. It provides a step-by-step journey from basic NLP concepts to implementing advanced techniques using libraries like TensorFlow and Keras. The authors aim to make complex NLP models and applications accessible by offering hands-on exercises and demonstrations suitable for those looking to practically apply NLP in real-world scenarios.

Beyond the Basic Stuff with Python: Best Practices for Writing Clean Code

Mon, 09 May 2016 00:00:00 +0000

Beyond the Basic Stuff with Python: Best Practices for Writing Clean Code

Summary

“Beyond the Basic Stuff with Python: Best Practices for Writing Clean Code” by Al Sweigart is a guide designed to help intermediate Python programmers refine their coding skills and adopt best practices. Moving past foundational concepts, the book introduces readers to more sophisticated techniques for writing clean, efficient, and maintainable Python code. Key themes include code readability, the use of debugging tools, and the importance of documentation. Through a variety of examples and exercises, Sweigart aims to equip readers with the skills necessary to write professional-level code.

Automate the Boring Stuff with Python, 2nd Edition: Practical Programming for Total Beginners

Wed, 30 Mar 2016 00:00:00 +0000

Overview of Automate the Boring Stuff with Python, 2nd Edition: Practical Programming for Total Beginners

Summary

Automate the Boring Stuff with Python, 2nd Edition by Al Sweigart provides a practical introduction to Python programming for beginners. This book focuses on automating everyday tasks such as organizing files, managing spreadsheets, scraping websites, and working with online forms through clear-cut explanations and robust examples. It aims to make programming accessible, providing readers with the skills to automate repetitive tasks and improve efficiency in various aspects of work and personal life.

Effective Python: 90 Specific Ways to Write Better Python (Effective Software Development Series)

Mon, 15 Feb 2016 00:00:00 +0000

Effective Python: 90 Specific Ways to Write Better Python

Summary

“Effective Python: 90 Specific Ways to Write Better Python” by Brett Slatkin is a practical guide aimed at helping Python developers enhance their coding skills. The book is part of the Effective Software Development Series and is structured around specific recommendations for writing clear and Pythonic code. It provides actionable insights into various aspects of Python programming, with an emphasis on leveraging Python’s unique features to produce more efficient and maintainable code. The 90 specific ways cover a broad range of topics, from traditional language features to more modern idioms.

Python One-Liners: Write Concise, Eloquent Python Like a Professional

Sun, 07 Feb 2016 00:00:00 +0000

Python One-Liners: Write Concise, Eloquent Python Like a Professional

Summary

“Python One-Liners: Write Concise, Eloquent Python Like a Professional” by Christian Mayer focuses on the art of writing Python programs using one-liners. The book aims to teach readers how to condense complex code into simpler, more readable, and efficient one-liners. It explores various Python constructs and provides practical examples across different domains like data science, machine learning, and automation. By doing so, it highlights Python’s versatility and encourages the reader to develop cleaner and more efficient code.

Python: 2 Books in 1: Introduction Guide + Advanced Guide - The Complete guide to Learn Python Programming Language

Sat, 30 Jan 2016 00:00:00 +0000

Python: 2 Books in 1: Introduction Guide + Advanced Guide - The Complete Guide to Learn Python Programming Language

Summary

“Python: 2 Books in 1” by Jason Crash serves as a comprehensive guide to mastering Python programming. The book is structured into two main parts: an Introduction Guide and an Advanced Guide. The Introduction Guide covers fundamental concepts such as variables, data types, control structures, functions, and basic object-oriented programming. It is designed to help beginners establish a solid foundation in Python. The Advanced Guide delves into more complex topics including advanced data structures, file manipulation, error handling, and sophisticated aspects of Python’s object-oriented features. Together, these sections aim to empower readers to confidently tackle both basic and advanced programming challenges using Python.

Python for DevOps: Learn Ruthlessly Effective Automation

Mon, 18 Jan 2016 00:00:00 +0000

Python for DevOps: Learn Ruthlessly Effective Automation

Summary

“Python for DevOps: Learn Ruthlessly Effective Automation” is a comprehensive guide that explores how Python programming can be effectively used to automate various aspects of DevOps processes. The book is co-authored by Kennedy Behrman, Alfredo Deza, Noah Gift, and Grig Gheorghiu. It delves into leveraging Python to streamline tasks such as configuration management, monitoring, building requirements and deployment scripts, and testing. The authors focus on practical applications of Python in the DevOps lifecycle, offering readers insight into real-world scenarios and examples. The book serves as both a tutorial and a reference for those looking to integrate Python into their DevOps workflow.

Build a Website With Django 3: A complete introduction to Django 3

Sun, 10 Jan 2016 00:00:00 +0000

Build a Website With Django 3: A complete introduction to Django 3

Summary

“Build a Website With Django 3: A complete introduction to Django 3” by Nigel George serves as a comprehensive guide for developers eager to delve into building web applications using the Django framework. The book aims to provide readers with the skills necessary to create robust web sites by offering an in-depth introduction to Django 3. It covers foundational concepts, such as setting up a project, creating models, views, and templates, and handling forms and users. Additionally, the book touches on more advanced topics, including testing and deploying Django applications. Through practical examples and step-by-step tutorials, George facilitates an engaging learning experience for beginner to intermediate developers.

Dive Into Algorithms: A Pythonic Adventure for the Intrepid Beginner

Fri, 25 Dec 2015 00:00:00 +0000

Dive Into Algorithms: A Pythonic Adventure for the Intrepid Beginner

Summary

“Dive Into Algorithms: A Pythonic Adventure for the Intrepid Beginner” by Bradford Tuckfield is an educational work aimed at introducing readers to the fundamental concepts of algorithms. Using Python as the primary language for examples, the book simplifies complex algorithmic ideas for beginners. It covers a wide range of topics, including sorting and searching algorithms, dynamic programming, graph algorithms, and computational complexity, all while emphasizing practical implementation and problem-solving skills. The book is designed to engage readers through interactive examples and exercises, enhancing both their theoretical understanding and coding proficiency.

Django 3 Web Development Cookbook: Actionable solutions to common problems in Python web development, 4th Edition

Mon, 21 Dec 2015 00:00:00 +0000

Overview of Django 3 Web Development Cookbook: Actionable Solutions to Common Problems in Python Web Development, 4th Edition

Summary

Django 3 Web Development Cookbook by Aidas Bendoraitis and Jake Kronika offers practical solutions to a variety of common challenges faced in Django web development. The book emphasizes actionable recipes in Python, focusing on Django 3, and providing developers with tasks and problems they’re likely to encounter in real-world projects. Topics range from initial setup, database migrations, and security practices to deployment strategies and performance optimization.

Real-World Python: A Hacker's Guide to Solving Problems with Code

Thu, 17 Dec 2015 00:00:00 +0000

Real-World Python: A Hacker’s Guide to Solving Problems with Code

Summary

“Real-World Python: A Hacker’s Guide to Solving Problems with Code” by Lee Vaughan is a practical guide designed to enhance your Python programming skills through solving real-world problems. The book focuses on applying Python to a wide array of tasks and challenges that one might encounter in various domains, from data analysis to automation. Throughout the chapters, Vaughan provides insightful examples and exercises that encourage readers to engage with Python programming on a deeper level and apply their knowledge in practical contexts.

Architecture Patterns with Python: Enabling Test-Driven Development, Domain-Driven Design, and Event-Driven Microservices

Wed, 09 Dec 2015 00:00:00 +0000

Overview of Architecture Patterns with Python: Enabling Test-Driven Development, Domain-Driven Design, and Event-Driven Microservices

Summary

Architecture Patterns with Python: Enabling Test-Driven Development, Domain-Driven Design, and Event-Driven Microservices is a technical guide by Bob Gregory and Harry Percival that explores the intersection of several advanced software development practices within the Python programming environment. The book primarily focuses on demonstrating how patterns from Domain-Driven Design (DDD), Test-Driven Development (TDD), and Event-Driven Architecture can be leveraged to build robust and scalable systems. It provides an in-depth look at structuring Python applications using these methodologies to ensure maintainability and scalability. The narrative uses practical, real-world examples to illustrate how these principles can be applied effectively in the development lifecycle.

40 Algorithms Every Programmer Should Know: Hone your problem-solving skills by learning different algorithms and their implementation in Python

Tue, 01 Dec 2015 00:00:00 +0000

40 Algorithms Every Programmer Should Know: Hone your problem-solving skills by learning different algorithms and their implementation in Python

Summary

“40 Algorithms Every Programmer Should Know” by Imran Ahmad provides a comprehensive guide to essential algorithms vital for modern software development and computer science. The book focuses on enhancing problem-solving skills by teaching the implementation of these algorithms in Python. Topics include classic algorithms, such as sorting and searching, as well as more complex concepts like graph theory, dynamic programming, and machine learning algorithms. Through practical examples and implementations, the book aims to equip readers with the fundamental knowledge to apply these algorithms effectively in real-world applications.

Django 3 By Example: Build powerful and reliable Python web applications from scratch, 3rd Edition

Fri, 27 Nov 2015 00:00:00 +0000

Django 3 By Example: Build powerful and reliable Python web applications from scratch, 3rd Edition

Summary

“Django 3 By Example” by Antonio Melé is a comprehensive guide designed to help developers build robust web applications using Django 3. The book is structured to progressively introduce readers to the framework, starting from the basics and moving towards more advanced topics. Throughout the book, readers build four real-world projects, including a blogging platform, an e-commerce application, an e-learning system, and a personal finance app. These projects help demonstrate Django’s core functionalities, including form handling, user authentication, database interactions, and deployment.

Designing Microservices Using Django: Structuring, Deploying and Managing the Microservices Architecture with Django (English Edition)

Mon, 23 Nov 2015 00:00:00 +0000

Designing Microservices Using Django by Shayank Jain

Summary

“Designing Microservices Using Django” by Shayank Jain explores the principles and best practices for building microservices architectures specifically within the Django framework. The book covers how Django’s capabilities can be leveraged to create scalable, modular services that can be developed, deployed, and maintained independently. It delves into key aspects of microservices design, such as service decomposition, inter-service communication, and effective use of Django’s REST framework. The book also emphasizes the importance of security, testing, and monitoring to ensure a resilient architecture.

High Performance Python: Practical Performant Programming for Humans

Sat, 07 Nov 2015 00:00:00 +0000

High Performance Python: Practical Performant Programming for Humans

Summary

“High Performance Python: Practical Performant Programming for Humans” by Micha Gorelick and Ian Ozsvald is a technical guide focused on optimizing Python programs for better performance. The book addresses common bottlenecks encountered by developers and offers practical strategies to enhance the efficiency of Python code. It explores various aspects of performance, including profiling techniques, data structures, concurrency, and parallelism, as well as the use of external libraries and tools to enhance speed. This book is structured to guide readers from foundational concepts to advanced optimization techniques, making it suitable for a wide range of Python developers.

Python Automation Cookbook: 75 Python automation ideas for web scraping, data wrangling, and processing Excel, reports, emails, and more, 2nd Edition

Mon, 26 Oct 2015 00:00:00 +0000

Python Automation Cookbook: 75 Python automation ideas for web scraping, data wrangling, and processing Excel, reports, emails, and more, 2nd Edition

Summary

“Python Automation Cookbook, 2nd Edition” by Jaime Buelta is a practical guide focused on automating a variety of tasks using Python. The book covers a wide range of use cases such as web scraping, data wrangling, and the manipulation of data in formats like Excel, handling of emails, and report automation. It is designed for readers who wish to gain hands-on experience with Python scripting to streamline routine tasks efficiently. Each chapter is structured to introduce a particular automation problem followed by detailed solutions leveraging Python’s capabilities.

Django for APIs: Build web APIs with Python and Django

Sat, 12 Sep 2015 00:00:00 +0000

Django for APIs: Build web APIs with Python and Django by William S. Vincent

Summary

“Django for APIs” by William S. Vincent is a technical guide designed to help developers create web APIs using Python and the Django framework. The book provides a comprehensive walkthrough of setting up Django to develop RESTful web services, integrating with front-end frameworks, and deploying APIs efficiently. Aimed at both beginners and experienced developers, it covers API fundamentals, database optimization, and advanced topics such as authentication and permissions.

Django for Professionals: Production websites with Python & Django

Tue, 08 Sep 2015 00:00:00 +0000

Overview of Django for Professionals: Production websites with Python & Django by William Vincent

Summary

“Django for Professionals” is a comprehensive guide designed to help readers build production-ready web applications using the Django framework with Python. The book delves into advanced topics needed for developing high-performing and secure Django applications, emphasizing best practices in software development and deployment. It covers aspects such as setting up a proper development environment, managing databases, deploying on hosting platforms, handling user authentication, and optimizing performance to create scalable, maintainable web applications.

Web Development with Django: Learn to build modern web applications with a Python-based framework

Thu, 30 Jul 2015 00:00:00 +0000

Web Development with Django: Learn to Build Modern Web Applications with a Python-Based Framework by Ben Shaw, Saurabh Badhwar, Andrew Bird, Bharath Chandra K S, and Chris Guest

Summary

“Web Development with Django” is a comprehensive guide designed to equip readers with the knowledge and confidence to build real-world applications using the Django framework. The book adopts a hands-on approach, guiding readers through the creation of “Bookr,” a book review website, to illustrate Django’s core features and functionalities. :contentReference[oaicite:0]{index=0}

Crafting Test-Driven Software with Python: Write test suites that scale with your applications' needs and complexity using Python and PyTest

Tue, 14 Jul 2015 00:00:00 +0000

Crafting Test-Driven Software with Python

Summary

“Crafting Test-Driven Software with Python” by Alessandro Molina is a comprehensive guide that teaches developers how to implement Test-Driven Development (TDD) using Python and the pytest framework. The book begins by introducing the fundamentals of TDD and why it’s a valuable approach for producing reliable and maintainable code. It then delves into writing effective test suites that can scale with the complexity of real-world applications.