Mastertech Pandas For Data Manipulation

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Mastertech Pandas For Data Manipulation

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Author : Diego Rodrigues
language : en
Publisher: Diego Rodrigues
Release Date : 2024-12-15

Mastertech Pandas For Data Manipulation written by Diego Rodrigues and has been published by Diego Rodrigues this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-15 with Business & Economics categories.

WELCOME TO "MASTERTECH: PANDAS FOR DATA MANIPULATION," THE DEFINITIVE GUIDE TO REVOLUTIONIZE THE WAY YOU ANALYZE AND TRANSFORM INFORMATION. WRITTEN WITH EXPERTISE AND UNMATCHED SKILL, DIEGO RODRIGUES, AN INTERNATIONAL AUTHOR WITH OVER 180 TITLES PUBLISHED IN SIX LANGUAGES, DELIVERS AN ESSENTIAL RESOURCE FOR STUDENTS AND PROFESSIONALS AIMING FOR EXCELLENCE IN DATA ANALYSIS. EXPLORE A COMPREHENSIVE APPROACH THAT COVERS EVERYTHING FROM BASIC SETUP TO THE MOST ADVANCED TECHNIQUES. DIVE INTO A JOURNEY THAT ADDRESSES DATA CLEANING AND TRANSFORMATION, POWERFUL VISUALIZATIONS, AND PERFORMANCE OPTIMIZATION. WITH A PRACTICAL AND STRUCTURED FOCUS, THIS BOOK FILLS CRUCIAL GAPS IN TECHNICAL LITERATURE, PROVIDING A UNIQUE LEARNING EXPERIENCE. MASTER STRUCTURES LIKE DATAFRAMES AND SERIES, AND ENHANCE YOUR WORK WITH COMPLEX DATA THROUGH TOOLS SUCH AS MERGE, JOIN, AND CONCATENATE. EXPLORE THE USE OF PANDAS IN BIG DATA, MACHINE LEARNING, AND REAL-TIME ANALYSIS. THE CONTENT IS DEVELOPED WITH EXEMPLARY DIDACTICS, ENABLING YOU TO TRANSFORM RAW DATA INTO STRATEGIC DECISIONS. IN ADDITION TO OFFERING PRACTICAL EXERCISES AND REAL-WORLD APPLICATIONS, THIS GUIDE ALSO PRESENTS FUTURE TRENDS AND INNOVATIONS IN PANDAS, PREPARING YOU FOR THE FUTURE OF TECHNOLOGY. WHETHER IN INDUSTRY, SCIENCE, OR TECHNOLOGY, THIS BOOK IS THE ESSENTIAL RESOURCE FOR THOSE WHO WANT TO STAND OUT IN AN INCREASINGLY COMPETITIVE MARKET. "MASTERTECH: PANDAS FOR DATA MANIPULATION" IS YOUR PASSPORT TO MASTERING DATA ANALYSIS AND AN INDISPENSABLE REFERENCE FOR ANYONE SEEKING TO DOMINATE ONE OF THE MOST RELEVANT LIBRARIES IN THE MARKET. TRANSFORM THE WAY YOU WORK WITH DATA AND ESTABLISH YOURSELF AS A STANDOUT PROFESSIONAL! TAGS: Python Java Linux Kali Linux HTML ASP.NET Ada Assembly Language BASIC Borland Delphi C C# C++ CSS Cobol Compilers DHTML Fortran General HTML Java JavaScript LISP PHP Pascal Perl Prolog RPG Ruby SQL Swift UML Elixir Haskell VBScript Visual Basic XHTML XML XSL Django Flask Ruby on Rails Angular React Vue.js Node.js Laravel Spring Hibernate .NET Core Express.js TensorFlow PyTorch Jupyter Notebook Keras Bootstrap Foundation jQuery SASS LESS Scala Groovy MATLAB R Objective-C Rust Go Kotlin TypeScript Elixir Dart SwiftUI Xamarin React Native NumPy Pandas SciPy Matplotlib Seaborn D3.js OpenCV NLTK PySpark BeautifulSoup Scikit-learn XGBoost CatBoost LightGBM FastAPI Celery Tornado Redis RabbitMQ Kubernetes Docker Jenkins Terraform Ansible Vagrant GitHub GitLab CircleCI Travis CI Linear Regression Logistic Regression Decision Trees Random Forests FastAPI AI ML K-Means Clustering Support Vector Tornado Machines Gradient Boosting Neural Networks LSTMs CNNs GANs ANDROID IOS MACOS WINDOWS Nmap Metasploit Framework Wireshark Aircrack-ng John the Ripper Burp Suite SQLmap Maltego Autopsy Volatility IDA Pro OllyDbg YARA Snort ClamAV iOS Netcat Tcpdump Foremost Cuckoo Sandbox Fierce HTTrack Kismet Hydra Nikto OpenVAS Nessus ZAP Radare2 Binwalk GDB OWASP Amass Dnsenum Dirbuster Wpscan Responder Setoolkit Searchsploit Recon-ng BeEF aws google cloud ibm azure databricks nvidia meta x Power BI IoT CI/CD Hadoop Spark Pandas NumPy Dask SQLAlchemy web scraping mysql big data science openai chatgpt Handler RunOnUiThread()Qiskit Q# Cassandra Bigtable VIRUS MALWARE docker kubernetes Kali Linux Nmap Metasploit Wireshark information security pen test cybersecurity Linux distributions ethical hacking vulnerability analysis system exploration wireless attacks web application security malware analysis social engineering Android iOS Social Engineering Toolkit SET computer science IT professionals careers cybersecurity expertise library cybersecurity training Linux operating systems tools ethical hacking tools security testing penetration test cycle concepts mobile security cybersecurity fundamentals cybersecurity techniques skills cybersecurity industry global trends Kali Linux tools education innovation penetration test tools best practices global companies cybersecurity solutions IBM Google Microsoft AWS Cisco Oracle consulting cybersecurity framework network security courses cybersecurity tutorials Linux security challenges landscape cloud threats compliance research technology React Native Flutter Ionic Xamarin HTML CSS JavaScript Java Kotlin Swift Objective-C Web Views Capacitor APIs REST GraphQL Firebase Redux Provider Angular Vue.js Bitrise GitHub Actions Material Design Cupertino Fastlane Appium Selenium Jest CodePush Firebase Expo Visual Studio C# .NET Azure Google Play App Store CodePush IoT AR VR GITHUB BIG DATA JENKINS

Pandas For Data Manipulation

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Author : DIEGO. RODRIGUES
language : en
Publisher: Independently Published
Release Date : 2025-02-27

Pandas For Data Manipulation written by DIEGO. RODRIGUES and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-27 with Computers categories.

Welcome to Mastertech: Pandas for Data Manipulation, the definitive guide to revolutionize the way you analyze and transform information. Written with expertise and unmatched skill, Diego Rodrigues, an international author with over 180 titles published in six languages, delivers an essential resource for students and professionals aiming for excellence in data analysis. Explore a comprehensive approach that covers everything from basic setup to the most advanced techniques. Dive into a journey that addresses data cleaning and transformation, powerful visualizations, and performance optimization. With a practical and structured focus, this book fills crucial gaps in technical literature, providing a unique learning experience. Master structures like DataFrames and Series, and enhance your work with complex data through tools such as merge, join, and concatenate. Explore the use of Pandas in big data, machine learning, and real-time analysis. The content is developed with exemplary didactics, enabling you to transform raw data into strategic decisions. In addition to offering practical exercises and real-world applications, this guide also presents future trends and innovations in Pandas, preparing you for the future of technology. Whether in industry, science, or technology, this book is the essential resource for those who want to stand out in an increasingly competitive market. Mastertech: Pandas for Data Manipulation is your passport to mastering data analysis and an indispensable reference for anyone seeking to dominate one of the most relevant libraries in the market. Transform the way you work with data and establish yourself as a standout professional!

Machine Learning With The Raspberry Pi

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Author : Donald J. Norris
language : en
Publisher: Apress
Release Date : 2019-11-29

Machine Learning With The Raspberry Pi written by Donald J. Norris and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-29 with Computers categories.

Using the Pi Camera and a Raspberry Pi board, expand and replicate interesting machine learning (ML) experiments. This book provides a solid overview of ML and a myriad of underlying topics to further explore. Non-technical discussions temper complex technical explanations to make the hottest and most complex topic in the hobbyist world of computing understandable and approachable. Machine learning, also commonly referred to as deep learning (DL), is currently being integrated into a multitude of commercial products as well as widely being used in industrial, medical, and military applications. It is hard to find any modern human activity, which has not been "touched" by artificial intelligence (AI) applications. Building on the concepts first presented in Beginning Artificial Intelligence with the Raspberry Pi, you’ll go beyond simply understanding the concepts of AI into working with real machine learning experiments and applying practical deep learning concepts to experiments with the Pi board and computer vision. What you learn with Machine Learning with the Raspberry Pi can then be moved on to other platforms to go even further in the world of AI and ML to better your hobbyist or commercial projects. What You'll Learn Acquire a working knowledge of current ML Use the Raspberry Pi to implement ML techniques and algorithms Apply AI and ML tools and techniques to your own work projects and studies Who This Book Is For Engineers and scientists but also experienced makers and hobbyists. Motivated high school students who desire to learn about ML can benefit from this material with determination.

Data Pipelines With Apache Airflow

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Author : Bas P. Harenslak
language : en
Publisher: Simon and Schuster
Release Date : 2021-04-27

Data Pipelines With Apache Airflow written by Bas P. Harenslak and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-27 with Computers categories.

For DevOps, data engineers, machine learning engineers, and sysadmins with intermediate Python skills"--Back cover.

Apache The Definitive Guide

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Author : Ben Laurie
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2002-12-18

Apache The Definitive Guide written by Ben Laurie 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 2002-12-18 with Computers categories.

Apache is far and away the most widely used web server platform in the world. This versatile server runs more than half of the world's existing web sites. Apache is both free and rock-solid, running more than 21 million web sites ranging from huge e-commerce operations to corporate intranets and smaller hobby sites.With this new third edition of Apache: The Definitive Guide, web administrators new to Apache will come up to speed quickly, and experienced administrators will find the logically organized, concise reference sections indispensable, and system programmers interested in customizing their servers will rely on the chapters on the API and Apache modules.Updated to cover the changes in Apache's latest release, 2.0, as well as Apache 1.3, this useful guide discusses how to obtain, set up, secure, modify, and troubleshoot the Apache software on both Unix and Windows systems. Dozens of clearly written examples provide the answers to the real-world issues that Apache administrators face everyday. In addition to covering the installation and configuration of mod_perl and Tomcat, the book examines PHP, Cocoon, and other new technologies that are associated with the Apache web server. Additional coverage of security and the Apache 2.0 API make Apache: The Definitive Guide, Third Edition essential documentation for the world's most popular web server.

Http The Definitive Guide

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Author : David Gourley
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2002-09-27

Http The Definitive Guide written by David Gourley 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 2002-09-27 with Computers categories.

This guide gives a complete and detailed description of the HTTP protocol and how it shapes the landscape of the Web by the technologies that it supports.

Apache Cookbook

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Author : Ken Coar
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2008

Apache Cookbook written by Ken Coar 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 2008 with Computers categories.

This is a collection of problems, solutions, and practical examples for webmasters, web administrators, programmers, and anyone who works with Apache.

Ramsay In 10

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Author : Gordon Ramsay
language : en
Publisher: Hachette UK
Release Date : 2021-11-02

Ramsay In 10 written by Gordon Ramsay and has been published by Hachette UK this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-02 with Cooking categories.

Enjoy quick and delicious meals as Michelin starred chef Gordon Ramsay presents your new everyday cookbook, featuring recipes that are max 10 minutes to prep and 10 minutes to cook. In Ramsay in 10, superstar chef, Gordon Ramsay, returns with 100 new and delicious recipes inspired by his YouTube series watched by millions across the globe – you’ll be challenged to get creative in the kitchen and learn how to cook incredible, flavorsome dishes in just ten minutes. Whether you need something super quick to assemble, like his Microwave Sticky Toffee Pudding, or you’re looking to impress the whole family, with a tasty One Pan Pumpkin Pasta or some Chicken Souvlaki – these are recipes guaranteed to become instant classics and with each time you cook, you'll get faster and faster with Gordon's shortcuts to speed up your cooking, reduce your prep times and get the very best from simple, fresh ingredients. 'When I'm shooting Ramsay in 10, I'm genuinely full of excitement and energy because I get to show everyone how to really cook with confidence. It doesn't matter if it takes you 10 minutes, 12 minutes or even 15 minutes, to me, it's about sharing my 25 years’ of knowledge, expertise and hands-on experience, to make everyone feel like better, happier cooks.' -- Gordon Ramsay This is fine food at its fastest and fast food at its finest.

Making Sense Of Data In The Media

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Author : Andrew Bell
language : en
Publisher: SAGE
Release Date : 2019-11-04

Making Sense Of Data In The Media written by Andrew Bell and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-04 with Social Science categories.

The amount of data produced, captured and transmitted through the media has never been greater. But for this data to be useful, it needs to be properly understood and claims made about or with data need to be properly scrutinized. Through a series of examples of statistics in the media, this book shows you how to critically assess the presentation of data in the media, to identify what is significant and to sort verifiable conclusions from misleading claims. How accurate are polls, and how should we know? How should league tables be read? Are numbers presented as ‘large’ really as big as they may seem at first glance? By answering these questions and more, readers will learn a number of statistical concepts central to many undergraduate social science statistics courses. By tying them in to real life examples, the importance and relevance of these concepts comes to life. As such, this book does more than teaches techniques needed for a statistics course; it teaches you life skills that we need to use every single day.

Machine Learning For Hackers

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Author : Drew Conway
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2012-02-13

Machine Learning For Hackers written by Drew Conway 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 2012-02-13 with Computers categories.

If you’re an experienced programmer interested in crunching data, this book will get you started with machine learning—a toolkit of algorithms that enables computers to train themselves to automate useful tasks. Authors Drew Conway and John Myles White help you understand machine learning and statistics tools through a series of hands-on case studies, instead of a traditional math-heavy presentation. Each chapter focuses on a specific problem in machine learning, such as classification, prediction, optimization, and recommendation. Using the R programming language, you’ll learn how to analyze sample datasets and write simple machine learning algorithms. Machine Learning for Hackers is ideal for programmers from any background, including business, government, and academic research. Develop a naïve Bayesian classifier to determine if an email is spam, based only on its text Use linear regression to predict the number of page views for the top 1,000 websites Learn optimization techniques by attempting to break a simple letter cipher Compare and contrast U.S. Senators statistically, based on their voting records Build a “whom to follow” recommendation system from Twitter data