Mastering Matplotlib
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Mastering Matplotlib
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Author : Duncan M. McGreggor
language : en
Publisher: Packt Publishing Ltd
Release Date : 2015-06-29
Mastering Matplotlib written by Duncan M. McGreggor 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 2015-06-29 with Computers categories.
matplotlib is a Python plotting library that provides a large feature set for a multitude of platforms. Given the depth of the library's legacy and the variety of related open source projects, gaining expert knowledge can be a time-consuming and often confusing process. You'll begin your exciting journey learning about the skills that are necessary in leading technical teams for a visualization project or to become a matplotlib contributor. Supported by highly-detailed IPython Notebooks, this book takes you through the conceptual components underlying the library and then provides a detailed overview of its APIs. From there, you will learn about event handling and how to code for interactive plots. Next you will move on to customization techniques, local configuration of matplotib, and then deployments in Cloud environments. The adventure culminates in an exploration of big data visualization and matplotlib clustering.
Mastering Python A Comprehensive Guide For Beginners And Experts
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Author : Rick Spair
language : en
Publisher: Rick Spair
Release Date :
Mastering Python A Comprehensive Guide For Beginners And Experts written by Rick Spair and has been published by Rick Spair this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
Unlock the full potential of Python programming with "Mastering Python: A Comprehensive Guide for Beginners and Experts." Whether you're a novice just starting your coding journey or an experienced developer looking to sharpen your skills, this book is your ultimate resource. Why This Book? Python is one of the most popular and versatile programming languages in the world. Its simplicity and readability make it an excellent choice for beginners, while its powerful libraries and frameworks cater to the needs of seasoned professionals. "Mastering Python" is designed to cater to both ends of the spectrum, providing a detailed, step-by-step guide that covers everything you need to know about Python.
Mastering Python
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Author : Cybellium
language : en
Publisher: Cybellium Ltd
Release Date : 2023-09-06
Mastering Python written by Cybellium and has been published by Cybellium Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-06 with Computers categories.
Cybellium Ltd is dedicated to empowering individuals and organizations with the knowledge and skills they need to navigate the ever-evolving computer science landscape securely and learn only the latest information available on any subject in the category of computer science including: - Information Technology (IT) - Cyber Security - Information Security - Big Data - Artificial Intelligence (AI) - Engineering - Robotics - Standards and compliance Our mission is to be at the forefront of computer science education, offering a wide and comprehensive range of resources, including books, courses, classes and training programs, tailored to meet the diverse needs of any subject in computer science. Visit https://www.cybellium.com for more books.
Mastering Python Networking
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Author : Eric Chou
language : en
Publisher: Packt Publishing Ltd
Release Date : 2023-01-20
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 2023-01-20 with Computers categories.
Get to grips with the latest container examples, Python 3 features, GitLab DevOps, network data analysis, and cloud networking to get the most out of Python for network engineering with the latest edition of this bestselling guide Purchase of the print or Kindle book includes a free eBook in PDF format. Key Features Leverage Python's powerful libraries and frameworks to build production-ready network automation solutions efficiently and effectively Implement network security, monitoring, and management solutions using modern DevOps tools and cloud-native approaches Utilize AsyncIO and cloud capabilities in Python 3 for AWS and Azure network solutions Book DescriptionNetworks in your infrastructure set the foundation for deploying, maintaining, and servicing applications. Python is the ideal language for network engineers to explore tools that were previously available to systems engineers and application developers. Mastering Python Networking, Fourth edition, guides you on a Python-driven journey from traditional network engineering to modern network development. This new edition incorporates the latest Python features and DevOps frameworks. In addition to new chapters on introducing Docker containers and Python 3 Async IO for network engineers, each chapter is updated with the latest libraries and working examples to ensure compatibility and clarity 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 AWS and Azure cloud networking. You will use Git for code management, GitLab for continuous integration, and Python-based testing tools to verify your network. By the end of this book, you'll be a confident network developer capable of automating modern infrastructure using Python, DevOps practices, and cloud technologies.What you will learn Use Python to interact with network devices Explore Docker for efficient network application development and deployment Extract network insights using Python and monitoring tools like NetFlow and SNMP Analyze network data with ELK for real-time visualization Build high-level API with Flask for in-house applications Discover the new AsyncIO feature and its concepts in Python 3 Explore test-driven development concepts and use PyTest to drive code test coverage Understand how to implement DevOps best practices with GitLab in networking Who this book is for Mastering Python Networking, Fourth edition is for network engineers, developers, and SREs who want to learn Python for network automation, programmability, monitoring, cloud, and data analysis. Network engineers who want to transition from manual to automation-based networks using the latest DevOps tools will also get a lot of useful information from this book. Basic familiarity with Python programming and networking-related concepts such as Transmission Control Protocol/Internet Protocol (TCP/IP) will be helpful in getting the most out of this book.
Mastering Python Data Analysis
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Author : Magnus Vilhelm Persson
language : en
Publisher: Packt Publishing Ltd
Release Date : 2016-06-27
Mastering Python Data Analysis written by Magnus Vilhelm Persson 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 2016-06-27 with Computers categories.
Become an expert at using Python for advanced statistical analysis of data using real-world examples About This Book Clean, format, and explore data using graphical and numerical summaries Leverage the IPython environment to efficiently analyze data with Python Packed with easy-to-follow examples to develop advanced computational skills for the analysis of complex data Who This Book Is For If you are a competent Python developer who wants to take your data analysis skills to the next level by solving complex problems, then this advanced guide is for you. Familiarity with the basics of applying Python libraries to data sets is assumed. What You Will Learn Read, sort, and map various data into Python and Pandas Recognise patterns so you can understand and explore data Use statistical models to discover patterns in data Review classical statistical inference using Python, Pandas, and SciPy Detect similarities and differences in data with clustering Clean your data to make it useful Work in Jupyter Notebook to produce publication ready figures to be included in reports In Detail Python, a multi-paradigm programming language, has become the language of choice for data scientists for data analysis, visualization, and machine learning. Ever imagined how to become an expert at effectively approaching data analysis problems, solving them, and extracting all of the available information from your data? Well, look no further, this is the book you want! Through this comprehensive guide, you will explore data and present results and conclusions from statistical analysis in a meaningful way. You'll be able to quickly and accurately perform the hands-on sorting, reduction, and subsequent analysis, and fully appreciate how data analysis methods can support business decision-making. You'll start off by learning about the tools available for data analysis in Python and will then explore the statistical models that are used to identify patterns in data. Gradually, you'll move on to review statistical inference using Python, Pandas, and SciPy. After that, we'll focus on performing regression using computational tools and you'll get to understand the problem of identifying clusters in data in an algorithmic way. Finally, we delve into advanced techniques to quantify cause and effect using Bayesian methods and you'll discover how to use Python's tools for supervised machine learning. Style and approach This book takes a step-by-step approach to reading, processing, and analyzing data in Python using various methods and tools. Rich in examples, each topic connects to real-world examples and retrieves data directly online where possible. With this book, you are given the knowledge and tools to explore any data on your own, encouraging a curiosity befitting all data scientists.
Mastering Matplotlib 2 X
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Author : Benjamin Walter Keller
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-11-29
Mastering Matplotlib 2 X written by Benjamin Walter Keller 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 2018-11-29 with Computers categories.
Understand and build beautiful and advanced plots with Matplotlib and Python Key FeaturesPractical guide with hands-on examples to design interactive plotsAdvanced techniques to constructing complex plotsExplore 3D plotting and visualization using Jupyter NotebookBook Description In this book, you’ll get hands-on with customizing your data plots with the help of Matplotlib. You’ll start with customizing plots, making a handful of special-purpose plots, and building 3D plots. You’ll explore non-trivial layouts, Pylab customization, and more about tile configuration. You’ll be able to add text, put lines in plots, and also handle polygons, shapes, and annotations. Non-Cartesian and vector plots are exciting to construct, and you’ll explore them further in this book. You’ll delve into niche plots and visualize ordinal and tabular data. In this book, you’ll be exploring 3D plotting, one of the best features when it comes to 3D data visualization, along with Jupyter Notebook, widgets, and creating movies for enhanced data representation. Geospatial plotting will also be explored. Finally, you’ll learn how to create interactive plots with the help of Jupyter. Learn expert techniques for effective data visualization using Matplotlib 3 and Python with our latest offering -- Matplotlib 3.0 Cookbook What you will learnDeal with non-trivial and unusual plotsUnderstanding Basemap methodsCustomize and represent data in 3D Construct Non-Cartesian and vector plotsDesign interactive plots using Jupyter NotebookMake movies for enhanced data representationWho this book is for This book is aimed at individuals who want to explore data visualization techniques. A basic knowledge of Matplotlib and Python is required.
Mastering Data Analysis With Python
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Author : Rajender Kumar
language : en
Publisher: Jamba Academy
Release Date : 2023-03-27
Mastering Data Analysis With Python written by Rajender Kumar and has been published by Jamba Academy this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-27 with Computers categories.
Are you tired of feeling like you're stuck in a dead-end job with no room for growth or advancement? Are you ready to take your career to the next level and start making real money? Look no further than "Mastering Data Analysis with Python." This comprehensive guide is designed to teach you the skills you need to become a top-paying data analyst. With a focus on the powerful Python programming language, you'll learn how to collect, clean, and analyze data like a pro. But that's not all - you'll also discover how to use this data to make informed business decisions and drive real results. Key Features: Here's just a taste of what you'll learn in this book: How to use Python's built-in libraries to manipulate and analyze data like a pro Techniques for cleaning and prepping data for analysis Advanced data visualization techniques to help you communicate your findings How to use statistical methods to draw meaningful insights from your data And much more! WHO THIS BOOK IS FOR? Data analysts and scientists who want to learn how to use Python for data analysis Programmers who want to add data analysis skills to their repertoire Anyone interested in exploring and visualizing data using Python Students and professionals looking to improve their data analysis and visualization skills Individuals interested in machine learning and artificial intelligence who need to learn data analysis fundamentals. What other people says: But don't just take our word for it. Here's what some of our readers have had to say: "I've been working as a data analyst for a few years now, but this book taught me so many new techniques that I was able to immediately apply to my job and start making more money." "I've always been interested in data analysis, but I didn't know where to start. This book is the perfect introduction to the field and has helped me land my dream job." "I was able to use the skills I learned in this book to negotiate a raise and make an additional $100,000 per year!" Outcome: Gain proficiency in NumPy, Pandas, and Matplotlib Learn to handle data effectively using Python Develop the skills to perform exploratory data analysis and data visualization Acquire the knowledge to build predictive models and perform statistical analysis Learn to handle large datasets and work with real-world data Master the skills to communicate data insights effectively Gain confidence in using Python for data analysis and visualization Table of Contents 1: Introduction to Data Analysis with Python 2: Getting Started with Python 3: Built-in Data Structures, Functions, and Files 4: Data Wrangling 5: NumPy for Data Analysis 6: Pandas for Data Analysis 7: Descriptive Statistics for Data Analysis 8: Data Exploration 9: Matplotlib for Data visualization 10: Data Visualization 11: Data Analysis in Business A. Additional Resources for Further Learning B. Insider Secrets for Success as A Data Analyst C. Glossary So, what are you waiting for? Don't let your dreams of a high-paying career in data analysis slip away. Get your hands on "Mastering Data Analysis with Python" today and start making real money.
Mastering Python Scientific Computing
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Author : Hemant Kumar Mehta
language : en
Publisher:
Release Date : 2015-09-23
Mastering Python Scientific Computing written by Hemant Kumar Mehta and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-09-23 with Computers categories.
A complete guide for Python programmers to master scientific computing using Python APIs and toolsAbout This Book• The basics of scientific computing to advanced concepts involving parallel and large scale computation are all covered.• Most of the Python APIs and tools used in scientific computing are discussed in detail• The concepts are discussed with suitable example programsWho This Book Is ForIf you are a Python programmer and want to get your hands on scientific computing, this book is for you. The book expects you to have had exposure to various concepts of Python programming.What You Will Learn• Fundamentals and components of scientific computing• Scientific computing data management• Performing numerical computing using NumPy and SciPy• Concepts and programming for symbolic computing using SymPy• Using the plotting library matplotlib for data visualization• Data analysis and visualization using Pandas, matplotlib, and IPython• Performing parallel and high performance computing• Real-life case studies and best practices of scientific computingIn DetailIn today's world, along with theoretical and experimental work, scientific computing has become an important part of scientific disciplines. Numerical calculations, simulations and computer modeling in this day and age form the vast majority of both experimental and theoretical papers. In the scientific method, replication and reproducibility are two important contributing factors. A complete and concrete scientific result should be reproducible and replicable. Python is suitable for scientific computing. A large community of users, plenty of help and documentation, a large collection of scientific libraries and environments, great performance, and good support makes Python a great choice for scientific computing.At present Python is among the top choices for developing scientific workflow and the book targets existing Python developers to master this domain using Python. The main things to learn in the book are the concept of scientific workflow, managing scientific workflow data and performing computation on this data using Python.The book discusses NumPy, SciPy, SymPy, matplotlib, Pandas and IPython with several example programs.Style and approachThis book follows a hands-on approach to explain the complex concepts related to scientific computing. It details various APIs using appropriate examples.
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 Data Mining With Python Find Patterns Hidden In Your Data
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Author : Megan Squire
language : en
Publisher: Packt Publishing Ltd
Release Date : 2016-08-29
Mastering Data Mining With Python Find Patterns Hidden In Your Data written by Megan Squire 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 2016-08-29 with Computers categories.
Learn how to create more powerful data mining applications with this comprehensive Python guide to advance data analytics techniques About This Book Dive deeper into data mining with Python – don't be complacent, sharpen your skills! From the most common elements of data mining to cutting-edge techniques, we've got you covered for any data-related challenge Become a more fluent and confident Python data-analyst, in full control of its extensive range of libraries Who This Book Is For This book is for data scientists who are already familiar with some basic data mining techniques such as SQL and machine learning, and who are comfortable with Python. If you are ready to learn some more advanced techniques in data mining in order to become a data mining expert, this is the book for you! What You Will Learn Explore techniques for finding frequent itemsets and association rules in large data sets Learn identification methods for entity matches across many different types of data Identify the basics of network mining and how to apply it to real-world data sets Discover methods for detecting the sentiment of text and for locating named entities in text Observe multiple techniques for automatically extracting summaries and generating topic models for text See how to use data mining to fix data anomalies and how to use machine learning to identify outliers in a data set In Detail Data mining is an integral part of the data science pipeline. It is the foundation of any successful data-driven strategy – without it, you'll never be able to uncover truly transformative insights. Since data is vital to just about every modern organization, it is worth taking the next step to unlock even greater value and more meaningful understanding. If you already know the fundamentals of data mining with Python, you are now ready to experiment with more interesting, advanced data analytics techniques using Python's easy-to-use interface and extensive range of libraries. In this book, you'll go deeper into many often overlooked areas of data mining, including association rule mining, entity matching, network mining, sentiment analysis, named entity recognition, text summarization, topic modeling, and anomaly detection. For each data mining technique, we'll review the state-of-the-art and current best practices before comparing a wide variety of strategies for solving each problem. We will then implement example solutions using real-world data from the domain of software engineering, and we will spend time learning how to understand and interpret the results we get. By the end of this book, you will have solid experience implementing some of the most interesting and relevant data mining techniques available today, and you will have achieved a greater fluency in the important field of Python data analytics. Style and approach This book will teach you the intricacies in applying data mining using real-world scenarios and will act as a very practical solution to your data mining needs.