Mastering Python Polars

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Mastering Python Polars

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Author : Mark Edwards
language : en
Publisher: Independently Published
Release Date : 2025-08-21

Mastering Python Polars written by Mark Edwards and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-21 with Computers categories.

Is your data pipeline slow and inefficient? Ready to harness the true power of modern data processing? Mastering Python Polars is your comprehensive guide to transforming how you work with data. With Polars, you'll learn how to dramatically speed up your data manipulations and scale your workflows like never before. This book takes you through everything from setting up Polars in your environment to advanced techniques like real-time data processing and integration with popular libraries such as Pandas and Apache Arrow. In this book, you'll discover how to: Process massive datasets with lightning speed and minimal memory consumption, thanks to Polars' columnar design and efficient multi-threading. Master advanced data transformations including grouping, aggregating, and filtering, all while optimizing performance for both small and large datasets. Build real-time analytics pipelines that are fast, reliable, and ready for production. Prepare data for machine learning with optimized, clean pipelines that streamline the entire process. Visualize your insights using powerful plotting tools like Altair, Matplotlib, and Plotly, integrated seamlessly with Polars. This book goes beyond the basics. You'll dive deep into the capabilities of Polars to solve real-world data problems with proven, hands-on techniques and comprehensive case studies. Whether you're working with small files or dealing with big data, this book will help you work faster, smarter, and more efficiently. Grab your copy now and discover how Polars can revolutionize your data processing workflows, saving you time and boosting your performance.

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 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.

Python Functions Mastery

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Author : Dr. Rakesh Roshan
language : en
Publisher: OrangeBooks Publication
Release Date : 2025-09-17

Python Functions Mastery written by Dr. Rakesh Roshan and has been published by OrangeBooks Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-09-17 with Computers categories.

Python has revolutionized the world of programming, data science, and machine learning with its simplicity and powerful ecosystem of libraries. Yet, the true magic lies in mastering functions—the building blocks that transform abstract concepts into tangible solutions. Whether you’re manipulating strings, training ML models, or creating interactive visualizations, efficiency hinges on knowing which function to use, how it works, and why it matters. This book is your definitive roadmap to Python’s functional powerhouse. Unlike theoretical guides, we focus on actionable mastery: 780+ essential functions across Python’s core and its critical libraries, presented through practical examples, real outputs, and explanations.

Python

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Author : Azhar ul Haque Sario
language : en
Publisher: Azhar ul Haque Sario
Release Date : 2025-11-17

Python written by Azhar ul Haque Sario and has been published by Azhar ul Haque Sario this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-11-17 with Computers categories.

Master Python for Real-World Software Engineering in 2025! This book, Python: Software Development (Academic Course: 2025 Edition), takes you from computational basics to production-ready applications. Start with algorithms, branching, and iteration using pseudocode. Dive into Python’s runtime, virtual environments, and pip for professional setups. Explore variables as object references, mutability, and memory models. Master control flow with if-elif-else, loops, and functional decomposition using def, parameters, and the LEGB rule. Handle strings with f-strings, manage files with context managers, and serialize data using JSON, CSV, and XML. Build core data structures like lists, tuples, dictionaries, and sets, plus comprehensions for Pythonic code. Understand iterators, generators, and Big-O complexity for efficient processing of massive datasets. Learn error handling with try-except-else-finally and custom exceptions. Write tests with pytest, use mocks, and adopt TDD. Replace print() with structured logging using getLogger(name). Grasp OOP with classes, inheritance, and composition, favoring Pythonic duck typing over rigid patterns. Conquer asynchronous programming with asyncio for I/O-bound tasks. Analyze data with Polars and Pandas, build ML models with scikit-learn, and deploy APIs using FastAPI or Django. Containerize with Docker and automate with CI/CD via GitHub Actions and MLOps tools like MLflow and DVC. Each chapter ends with hands-on case studies, like file organizers, calculators, log parsers, shopping carts, API clients, and fraud detection systems. Unlike traditional Python books that recycle beginner syntax or chase trends, this one bridges academic rigor with 2025 job demands. It teaches why mutability matters for design, why generators beat lists for big data, and why structured JSON logs enable microservice debugging—insights missing from most texts. You won’t just code; you’ll architect maintainable, testable, and scalable systems. From virtual environments on day one to full MLOps pipelines, it equips you for real roles in startups or enterprises. No fluff, just battle-tested skills that make you stand out. Copyright Disclaimer: This book is independently produced and has no affiliation with any educational board, university, or cited institution. All references are used under nominative fair use for educational purposes.

Modern Python Cookbook

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Author : Steven F. Lott
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-07-31

Modern Python Cookbook written by Steven F. Lott 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 2024-07-31 with Computers categories.

Enhance your Python skills with the third edition of Modern Python Cookbook with 130+ new and updated recipes covering Python 3.12, including new coverage on graphics, visualizations, dependencies, virtual environments, and more. Purchase of the print or Kindle book includes a free eBook in PDF format Key Features New chapters on type matching, data visualization, dependency management, and more Comprehensive coverage of Python 3.12 with updated recipes and techniques Provides practical examples and detailed explanations to solve real-world problems efficiently Book DescriptionPython is the go-to language for developers, engineers, data scientists, and hobbyists worldwide. Known for its versatility, Python can efficiently power applications, offering remarkable speed, safety, and scalability. This book distills Python into a collection of straightforward recipes, providing insights into specific language features within various contexts, making it an indispensable resource for mastering Python and using it to handle real-world use cases. The third edition of Modern Python Cookbook provides an in-depth look into Python 3.12, offering more than 140 new and updated recipes that cater to both beginners and experienced developers. This edition introduces new chapters on documentation and style, data visualization with Matplotlib and Pyplot, and advanced dependency management techniques using tools like Poetry and Anaconda. With practical examples and detailed explanations, this cookbook helps developers solve real-world problems, optimize their code, and get up to date with the latest Python features.What you will learn Master core Python data structures, algorithms, and design patterns Implement object-oriented designs and functional programming features Use type matching and annotations to make more expressive programs Create useful data visualizations with Matplotlib and Pyplot Manage project dependencies and virtual environments effectively Follow best practices for code style and testing Create clear and trustworthy documentation for your projects Who this book is for This Python book is for web developers, programmers, enterprise programmers, engineers, and big data scientists. If you are a beginner, this book offers helpful details and design patterns for learning Python. If you are experienced, it will expand your knowledge base. Fundamental knowledge of Python programming and basic programming principles will be helpful

Duckdb Up And Running

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Author : Wei-Meng Lee
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2024-12-05

Duckdb Up And Running written by Wei-Meng Lee and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-05 with Computers categories.

DuckDB, an open source in-process database created for OLAP workloads, provides key advantages over more mainstream OLAP solutions: It's embeddable and optimized for analytics. It also integrates well with Python and is compatible with SQL, giving you the performance and flexibility of SQL right within your Python environment. This handy guide shows you how to get started with this versatile and powerful tool. Author Wei-Meng Lee takes developers and data professionals through DuckDB's primary features and functions, best practices, and practical examples of how you can use DuckDB for a variety of data analytics tasks. You'll also dive into specific topics, including how to import data into DuckDB, work with tables, perform exploratory data analysis, visualize data, perform spatial analysis, and use DuckDB with JSON files, Polars, and JupySQL. Understand the purpose of DuckDB and its main functions Conduct data analytics tasks using DuckDB Integrate DuckDB with pandas, Polars, and JupySQL Use DuckDB to query your data Perform spatial analytics using DuckDB's spatial extension Work with a diverse range of data including Parquet, CSV, and JSON

Csv File Guide

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Author : Mia Wright
language : en
Publisher: Publifye AS
Release Date : 2025-02-22

Csv File Guide written by Mia Wright and has been published by Publifye AS this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-22 with Computers categories.

CSV File Guide offers a comprehensive exploration of Comma Separated Values files, essential for anyone working with tabular data. This book demystifies the CSV format, explaining its architecture and formatting rules while highlighting its real-world applications in data exchange, database administration, and web development. One intriguing fact is that CSV's simplicity, originating from early computing needs, makes it universally compatible even with limited processing power. This book emphasizes how mastering CSV files can significantly improve data management workflows. The guide begins with an introduction to the history and structure of CSV files, then progresses through chapters covering delimiters, quoting mechanisms, encoding standards, and header rows. Practical applications are emphasized, demonstrating how to import/export data from databases and exchange information between software applications. Code examples in common programming languages are provided to show how to create, read, and manipulate CSV files programmatically. The book's approach is characterized by its clarity and practicality, avoiding jargon and adopting a straightforward style. It also acknowledges the limitations of CSV files, such as the lack of explicit data typing, and clarifies when CSV is the ideal choice versus alternatives like JSON or XML. By connecting CSV files to broader fields like data science, CSV File Guide illustrates their far-reaching relevance in modern technology.

Dataframe Structures And Manipulation

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Author : Richard Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-06-24

Dataframe Structures And Manipulation written by Richard Johnson and has been published by HiTeX Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-24 with Computers categories.

"DataFrame Structures and Manipulation" "DataFrame Structures and Manipulation" offers an exhaustive exploration of the conceptual foundations, practical implementations, and emerging frontiers of DataFrame technology in modern data science and engineering. Beginning with a historical evolution of tabular data structures, the book guides readers through core abstractions, formal underpinnings in relational algebra, robust schema enforcement, and advanced metadata models. The text carefully examines the impact of memory and storage choices, equipping learners to understand the trade-offs behind popular DataFrame libraries such as pandas, Apache Spark, and polars. Delving into essential operational competencies, the book explores data parsing from diverse sources, validation, and strategies for dealing with incomplete or corrupted data. Comprehensive coverage of transformation and cleaning operations—ranging from deduplication and type normalization to sophisticated feature engineering—ensures the reader can prepare data for robust analysis. Advanced topics, such as hierarchical indexing, custom user-defined functions, window and rolling computations, and optimization for large-scale and distributed workloads, prepare practitioners to tackle both performance and scalability demands. True to its forward-looking approach, the book addresses the integration of DataFrames into cloud-native, distributed, and real-time analytical ecosystems. Readers gain insight into best practices for ecosystem interfacing—machine learning pipelines, ETL bridges, visualization, and cross-language bindings—along with critical considerations for governance, security, and privacy in the age of data regulation. Closing chapters explore declarative interfaces, hardware acceleration, semantics enrichment, edge computing, and vital ethical dimensions, making "DataFrame Structures and Manipulation" an indispensable reference for both practitioners and researchers seeking to master the present and shape the future of DataFrame systems.

Cd Roms In Print

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Author :
language : en
Publisher:
Release Date : 1995

Cd Roms In Print written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with CD-ROMs categories.