Mastering Python Regular Expressions
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Mastering Python Regular Expressions
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Author : Félix López
language : en
Publisher: Packt Publishing Ltd
Release Date : 2014-02-21
Mastering Python Regular Expressions written by Félix López 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 2014-02-21 with Computers categories.
A short and straight to the point guide that explains the implementation of Regular Expressions in Python. This book is aimed at Python developers who want to learn how to leverage Regular Expressions in Python. Basic knowledge of Python is required for a better understanding.
Mastering Python Regular Expressions
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Author : Félix López
language : en
Publisher:
Release Date : 2014
Mastering Python Regular Expressions written by Félix López and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with categories.
Mastering Python Regular Expressions
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Author : Jodie J. Long
language : en
Publisher: CreateSpace
Release Date : 2015-08-10
Mastering Python Regular Expressions written by Jodie J. Long and has been published by CreateSpace this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-08-10 with categories.
Thought-provoking and accessible in approach, this updated and expanded second edition of the Mastering Python Regular Expressions provides a user-friendly introduction to the subject, Taking a clear structural framework, it guides the reader through the subject's core elements. A flowing writing style combines with the use of illustrations and diagrams throughout the text to ensure the reader understands even the most complex of concepts. This succinct and enlightening overview is a required reading for advanced graduate-level students. We hope you find this book useful in shaping your future career. Feel free to send us your enquiries related to our publications to [email protected] Rise Press
Python Coding Mastery
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Author : Barrett Williams
language : en
Publisher: Barrett Williams
Release Date : 2025-05-31
Python Coding Mastery written by Barrett Williams and has been published by Barrett Williams this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-31 with Computers categories.
Unlock the full potential of Python and transform your coding journey with "Python Coding Mastery." This comprehensive guide takes you from the basics to advanced concepts, equipping you with all the tools you need to become a proficient Python programmer. Whether you're a beginner looking to build a strong foundation or an experienced coder aiming to enhance your skills, this ebook serves as your essential resource. Start with a deep dive into Python's origins and set up the perfect environment to nourish your coding skills. Master the nuances of Python syntax and semantics, and get comfortable with basic concepts like variables, data types, and control flow. Progress through expertly crafted sections on functions, data structures, and object-oriented programming, unraveling the intricacies of each as you advance. Delve into advanced Python concepts, exploring decorators and generators while mastering file handling and the powerful standard libraries. Sharpen your problem-solving skills with regular expressions, and embrace the art of testing and debugging. For those interested in data science, discover the capabilities of NumPy, Pandas, and Matplotlib, and for web development enthusiasts, gain insights into Flask, Django, and FastAPI. Expand your automation toolkit with chapters on scripting, web scraping, and browser automation, and explore the realm of concurrency to handle complex tasks efficiently. Learn how to package and distribute your work, adhering to best practices that ensure clean, maintainable code. "Python Coding Mastery" is not just a book; it's your gateway to a thriving Python community. With key takeaways and resources for ongoing learning, this ebook supports you in achieving coding excellence. Embark on your Python programming journey today and discover the endless possibilities awaiting you.
Mastering Python Networking
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Author : Eric Chou
language : en
Publisher: Packt Publishing Ltd
Release Date : 2020-01-30
Mastering Python Networking written by Eric Chou 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 2020-01-30 with Computers categories.
New edition of the bestselling guide to mastering Python Networking, updated to Python 3 and including the latest on network data analysis, Cloud Networking, Ansible 2.8, and new libraries Key FeaturesExplore the power of Python libraries to tackle difficult network problems efficiently and effectively, including pyATS, Nornir, and Ansible 2.8Use Python and Ansible for DevOps, network device automation, DevOps, and software-defined networkingBecome an expert in implementing advanced network-related tasks with Python 3Book Description Networks in your infrastructure set the foundation for how your application can be deployed, maintained, and serviced. Python is the ideal language for network engineers to explore tools that were previously available to systems engineers and application developers. In Mastering Python Networking, Third edition, you'll embark on a Python-based journey to transition from traditional network engineers to network developers ready for the next-generation of networks. This new edition is completely revised and updated to work with Python 3. In addition to new chapters on network data analysis with ELK stack (Elasticsearch, Logstash, Kibana, and Beats) and Azure Cloud Networking, it includes updates on using newer libraries such as pyATS and Nornir, as well as Ansible 2.8. Each chapter is updated with the latest libraries with working examples to ensure compatibility and understanding of the concepts. Starting with a basic overview of Python, the book teaches you how it can interact with both legacy and API-enabled network devices. You will learn to leverage high-level Python packages and frameworks to perform network automation tasks, monitoring, management, and enhanced network security followed by Azure and AWS Cloud networking. Finally, you will use Jenkins for continuous integration as well as testing tools to verify your network. What you will learnUse Python libraries to interact with your networkIntegrate Ansible 2.8 using Python to control Cisco, Juniper, and Arista network devicesLeverage existing Flask web frameworks to construct high-level APIsLearn how to build virtual networks in the AWS & Azure CloudLearn how to use Elastic Stack for network data analysisUnderstand how Jenkins can be used to automatically deploy changes in your networkUse PyTest and Unittest for Test-Driven Network Development in networking engineering with PythonWho this book is for Mastering Python Networking, Third edition is for network engineers, developers, and SREs who want to use Python for network automation, programmability, and data analysis. Basic familiarity with Python programming and networking-related concepts such as Transmission Control Protocol/Internet Protocol (TCP/IP) will be useful.
The Python Workshop
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Author : Corey Wade
language : en
Publisher: Packt Publishing Ltd
Release Date : 2022-11-18
The Python Workshop written by Corey Wade 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 2022-11-18 with Computers categories.
Gain proficiency, productivity, and power by working on projects and kick-starting your career in Python with this comprehensive, hands-on guide. Key FeaturesUnderstand and utilize Python syntax, objects, methods, and best practicesExplore Python's many features and libraries through real-world problems and big dataUse your newly acquired Python skills in machine learning as well as web and software developmentBook Description Python is among the most popular programming languages in the world. It's ideal for beginners because it's easy to read and write, and for developers, because it's widely available with a strong support community, extensive documentation, and phenomenal libraries – both built-in and user-contributed. This project-based course has been designed by a team of expert authors to get you up and running with Python. You'll work though engaging projects that'll enable you to leverage your newfound Python skills efficiently in technical jobs, personal projects, and job interviews. The book will help you gain an edge in data science, web development, and software development, preparing you to tackle real-world challenges in Python and pursue advanced topics on your own. Throughout the chapters, each component has been explicitly designed to engage and stimulate different parts of the brain so that you can retain and apply what you learn in the practical context with maximum impact. By completing the course from start to finish, you'll walk away feeling capable of tackling any real-world Python development problem. What you will learnWrite efficient and concise functions using core Python methods and librariesBuild classes to address different business needsCreate visual graphs to communicate key data insightsOrganize big data and use machine learning to make regression and classification predictionsDevelop web pages and programs with Python tools and packagesAutomate essential tasks using Python scripts in real-time executionWho this book is for This book is for professionals, students, and hobbyists who want to learn Python and apply it to solve challenging real-world problems. Although this is a beginner's course, you'll learn more easily if you already have an understanding of standard programming topics like variables, if-else statements, and functions. Experience with another object-oriented program, though not essential, will also be beneficial. If Python is your first attempt at computer programming, this book will help you understand the basics with adequate detail for a motivated student.
The The Python Workshop
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Author : Andrew Bird
language : en
Publisher: Packt Publishing Ltd
Release Date : 2019-11-06
The The Python Workshop written by Andrew Bird 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 2019-11-06 with Computers categories.
Learn the fundamentals of clean, effective Python coding and build the practical skills to tackle your own software development or data science projects Key FeaturesBuild key Python skills with engaging development tasks and challenging activitiesImplement useful algorithms and write programs to solve real-world problemsApply Python in realistic data science projects and create simple machine learning modelsBook Description Have you always wanted to learn Python, but never quite known how to start? More applications than we realize are being developed using Python because it is easy to learn, read, and write. You can now start learning the language quickly and effectively with the help of this interactive tutorial. The Python Workshop starts by showing you how to correctly apply Python syntax to write simple programs, and how to use appropriate Python structures to store and retrieve data. You'll see how to handle files, deal with errors, and use classes and methods to write concise, reusable, and efficient code. As you advance, you'll understand how to use the standard library, debug code to troubleshoot problems, and write unit tests to validate application behavior. You'll gain insights into using the pandas and NumPy libraries for analyzing data, and the graphical libraries of Matplotlib and Seaborn to create impactful data visualizations. By focusing on entry-level data science, you'll build your practical Python skills in a way that mirrors real-world development. Finally, you'll discover the key steps in building and using simple machine learning algorithms. By the end of this Python book, you'll have the knowledge, skills and confidence to creatively tackle your own ambitious projects with Python. What you will learnWrite clean and well-commented code that is easy to maintainAutomate essential day-to-day tasks with Python scriptsDebug logical errors and handle exceptions in your programsExplore data science fundamentals and create engaging visualizationsGet started with predictive machine learningKeep your development process bug-free with automated testingWho this book is for This book is designed for anyone who is new to the Python programming language. Whether you're an aspiring software engineer or data scientist, or are just curious about learning how to code with Python, this book is for you. No prior programming experience is required.
Theoretical Aspects Of Software Engineering
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Author : Yamine Aït-Ameur
language : en
Publisher: Springer Nature
Release Date : 2022-07-01
Theoretical Aspects Of Software Engineering written by Yamine Aït-Ameur and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-01 with Computers categories.
This book constitutes the proceedings of the 16th International Conference on Theoretical Aspects of Software Engineering, TASE 2022, held in Cluj-Napoca, Romania, July 2022. The 21 full regular papers presented together with 5 short papers in this book were carefully reviewed and selected from 71 submissions. The topics of the papers covering various fields in software engineering and the latest developments in in formal and theoretical software engineering methods and techniques.
Practical Data Analysis Cookbook
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Author : Tomasz Drabas
language : en
Publisher: Packt Publishing Ltd
Release Date : 2016-04-29
Practical Data Analysis Cookbook written by Tomasz Drabas 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 2016-04-29 with Computers categories.
Over 60 practical recipes on data exploration and analysis About This Book Clean dirty data, extract accurate information, and explore the relationships between variables Forecast the output of an electric plant and the water flow of American rivers using pandas, NumPy, Statsmodels, and scikit-learn Find and extract the most important features from your dataset using the most efficient Python libraries Who This Book Is For If you are a beginner or intermediate-level professional who is looking to solve your day-to-day, analytical problems with Python, this book is for you. Even with no prior programming and data analytics experience, you will be able to finish each recipe and learn while doing so. What You Will Learn Read, clean, transform, and store your data usng Pandas and OpenRefine Understand your data and explore the relationships between variables using Pandas and D3.js Explore a variety of techniques to classify and cluster outbound marketing campaign calls data of a bank using Pandas, mlpy, NumPy, and Statsmodels Reduce the dimensionality of your dataset and extract the most important features with pandas, NumPy, and mlpy Predict the output of a power plant with regression models and forecast water flow of American rivers with time series methods using pandas, NumPy, Statsmodels, and scikit-learn Explore social interactions and identify fraudulent activities with graph theory concepts using NetworkX and Gephi Scrape Internet web pages using urlib and BeautifulSoup and get to know natural language processing techniques to classify movies ratings using NLTK Study simulation techniques in an example of a gas station with agent-based modeling In Detail Data analysis is the process of systematically applying statistical and logical techniques to describe and illustrate, condense and recap, and evaluate data. Its importance has been most visible in the sector of information and communication technologies. It is an employee asset in almost all economy sectors. This book provides a rich set of independent recipes that dive into the world of data analytics and modeling using a variety of approaches, tools, and algorithms. You will learn the basics of data handling and modeling, and will build your skills gradually toward more advanced topics such as simulations, raw text processing, social interactions analysis, and more. First, you will learn some easy-to-follow practical techniques on how to read, write, clean, reformat, explore, and understand your data—arguably the most time-consuming (and the most important) tasks for any data scientist. In the second section, different independent recipes delve into intermediate topics such as classification, clustering, predicting, and more. With the help of these easy-to-follow recipes, you will also learn techniques that can easily be expanded to solve other real-life problems such as building recommendation engines or predictive models. In the third section, you will explore more advanced topics: from the field of graph theory through natural language processing, discrete choice modeling to simulations. You will also get to expand your knowledge on identifying fraud origin with the help of a graph, scrape Internet websites, and classify movies based on their reviews. By the end of this book, you will be able to efficiently use the vast array of tools that the Python environment has to offer. Style and approach This hands-on recipe guide is divided into three sections that tackle and overcome real-world data modeling problems faced by data analysts/scientist in their everyday work. Each independent recipe is written in an easy-to-follow and step-by-step fashion.
Learning Pyspark
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Author : Tomasz Drabas
language : en
Publisher: Packt Publishing Ltd
Release Date : 2017-02-27
Learning Pyspark written by Tomasz Drabas 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 2017-02-27 with Computers categories.
Build data-intensive applications locally and deploy at scale using the combined powers of Python and Spark 2.0 About This Book Learn why and how you can efficiently use Python to process data and build machine learning models in Apache Spark 2.0 Develop and deploy efficient, scalable real-time Spark solutions Take your understanding of using Spark with Python to the next level with this jump start guide Who This Book Is For If you are a Python developer who wants to learn about the Apache Spark 2.0 ecosystem, this book is for you. A firm understanding of Python is expected to get the best out of the book. Familiarity with Spark would be useful, but is not mandatory. What You Will Learn Learn about Apache Spark and the Spark 2.0 architecture Build and interact with Spark DataFrames using Spark SQL Learn how to solve graph and deep learning problems using GraphFrames and TensorFrames respectively Read, transform, and understand data and use it to train machine learning models Build machine learning models with MLlib and ML Learn how to submit your applications programmatically using spark-submit Deploy locally built applications to a cluster In Detail Apache Spark is an open source framework for efficient cluster computing with a strong interface for data parallelism and fault tolerance. This book will show you how to leverage the power of Python and put it to use in the Spark ecosystem. You will start by getting a firm understanding of the Spark 2.0 architecture and how to set up a Python environment for Spark. You will get familiar with the modules available in PySpark. You will learn how to abstract data with RDDs and DataFrames and understand the streaming capabilities of PySpark. Also, you will get a thorough overview of machine learning capabilities of PySpark using ML and MLlib, graph processing using GraphFrames, and polyglot persistence using Blaze. Finally, you will learn how to deploy your applications to the cloud using the spark-submit command. By the end of this book, you will have established a firm understanding of the Spark Python API and how it can be used to build data-intensive applications. Style and approach This book takes a very comprehensive, step-by-step approach so you understand how the Spark ecosystem can be used with Python to develop efficient, scalable solutions. Every chapter is standalone and written in a very easy-to-understand manner, with a focus on both the hows and the whys of each concept.