Ultimate Pandas For Data Manipulation And Visualization Efficiently Process And Visualize Data With Python S Most Popular Data Manipulation Library
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Ultimate Pandas For Data Manipulation And Visualization Efficiently Process And Visualize Data With Python S Most Popular Data Manipulation Library
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Author : Tahera Firdose
language : en
Publisher: Orange Education Pvt Limited
Release Date : 2024-06-10
Ultimate Pandas For Data Manipulation And Visualization Efficiently Process And Visualize Data With Python S Most Popular Data Manipulation Library written by Tahera Firdose and has been published by Orange Education Pvt Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-10 with Computers categories.
Unlock the power of Data Manipulation with Pandas. Key Features● Master Pandas from basics to advanced and its data manipulation techniques. ● Visualize data effectively with Matplotlib and explore data efficiently. ● Learn through hands-on examples and practical real-world use cases. Book DescriptionUnlock the power of Pandas, the essential Python library for data analysis and manipulation. This comprehensive guide takes you from the basics to advanced techniques, ensuring you master every aspect of pandas. You'll start with an introduction to pandas and data analysis, followed by in-depth explorations of pandas Series and DataFrame, the core data structures. Learn essential skills for data cleaning and filtering, and master grouping and aggregation techniques to summarize and analyze your data sets effectively. Discover how to reshape and pivot data, join and merge multiple datasets, and handle time series analysis. Enhance your data analysis with compelling visualizations using Matplotlib, and apply your knowledge in a real-world scenario by analyzing bank customer churn. Through hands-on examples and practical use cases, this book equips you with the tools to clean, filter, aggregate, reshape, merge, and visualize data effectively, transforming it into actionable insights. What you will learn ● Wrangle data efficiently using Pandas' cleaning, filtering, and transformation techniques. ● Unlock hidden patterns with advanced grouping, joining, and merging operations. ● Master time series analysis with Pandas to extract valuable insights from your data. ● Apply Pandas to real-world scenarios like customer churn analysis and financial modeling. ● Unleash the power of data visualization with Matplotlib and craft compelling charts and graphs. ● Enhance your workflow with essential Pandas optimizations and performance tips. Table of Contents1. Introduction to Pandas and Data Analysis 2. Pandas Series 3. Pandas DataFrame 4. Data Cleaning with Pandas 5. Data Filtering with Pandas 6. Grouping and Aggregating Data 7. Reshaping and Pivoting in Pandas 8. Joining and Merging Data in Pandas 9. Introduction to Time Series Analysis in Pandas 10. Visualization Using Matplotlib 11. Analyzing Bank Customer Churn Using Pandas Index
Ultimate Pandas For Data Manipulation And Visualization
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Author : Tahera Firdose
language : en
Publisher: Orange Education Pvt Ltd
Release Date : 2024-06-10
Ultimate Pandas For Data Manipulation And Visualization written by Tahera Firdose and has been published by Orange Education Pvt Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-10 with Computers categories.
TAGLINE Unlock the power of Data Manipulation with Pandas. KEY FEATURES ● Master Pandas from basics to advanced and its data manipulation techniques. ● Visualize data effectively with Matplotlib and explore data efficiently. ● Learn through hands-on examples and practical real-world use cases. DESCRIPTION Unlock the power of Pandas, the essential Python library for data analysis and manipulation. This comprehensive guide takes you from the basics to advanced techniques, ensuring you master every aspect of pandas. You'll start with an introduction to pandas and data analysis, followed by in-depth explorations of pandas Series and DataFrame, the core data structures. Learn essential skills for data cleaning and filtering, and master grouping and aggregation techniques to summarize and analyze your data sets effectively. Discover how to reshape and pivot data, join and merge multiple datasets, and handle time series analysis. Enhance your data analysis with compelling visualizations using Matplotlib, and apply your knowledge in a real-world scenario by analyzing bank customer churn. Through hands-on examples and practical use cases, this book equips you with the tools to clean, filter, aggregate, reshape, merge, and visualize data effectively, transforming it into actionable insights. WHAT WILL YOU LEARN ● Wrangle data efficiently using Pandas' cleaning, filtering, and transformation techniques. ● Unlock hidden patterns with advanced grouping, joining, and merging operations. ● Master time series analysis with Pandas to extract valuable insights from your data. ● Apply Pandas to real-world scenarios like customer churn analysis and financial modeling. ● Unleash the power of data visualization with Matplotlib and craft compelling charts and graphs. ● Enhance your workflow with essential Pandas optimizations and performance tips. WHO IS THIS BOOK FOR? This book is ideal for aspiring data scientists, analysts, and Python enthusiasts looking to enhance their data manipulation skills using Pandas. Familiarity with Python programming basics and a basic understanding of data structures will greatly benefit readers as they delve into the concepts presented in this book. TABLE OF CONTENTS 1. Introduction to Pandas and Data Analysis 2. Pandas Series 3. Pandas DataFrame 4. Data Cleaning with Pandas 5. Data Filtering with Pandas 6. Grouping and Aggregating Data 7. Reshaping and Pivoting in Pandas 8. Joining and Merging Data in Pandas 9. Introduction to Time Series Analysis in Pandas 10. Visualization Using Matplotlib 11. Analyzing Bank Customer Churn Using Pandas Index
Introduction To Text Analytics
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Author : Emily Ohman
language : en
Publisher: SAGE Publications Limited
Release Date : 2024-11-01
Introduction To Text Analytics written by Emily Ohman and has been published by SAGE Publications Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-01 with Social Science categories.
This easy-to-follow book will revolutionise how you approach text mining and data analysis as well as equipping you with the tools, and confidence, to navigate complex qualitative data. It can be challenging to effectively combine theoretical concepts with practical, real-world applications but this accessible guide provides you with a clear step-by-step approach. Written specifically for students and early career researchers this pragmatic manual will: • Contextualise your learning with real-world data and engaging case studies. • Encourage the application of your new skills with reflective questions. • Enhance your ability to be critical, and reflective, when dealing with imperfect data. Supported by practical online resources, this book is the perfect companion for those looking to gain confidence and independence whilst using transferable data skills.
The Ultimate Python Guide Learn Coding With Interactive Projects And An Ultra Fast Framework
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Author : Abe Olsen
language : en
Publisher: Jaroslav Zdanovic
Release Date :
The Ultimate Python Guide Learn Coding With Interactive Projects And An Ultra Fast Framework written by Abe Olsen and has been published by Jaroslav Zdanovic this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
Unleash your programming prowess with "The Ultimate Python Guide." Master the fundamentals of coding effortlessly and engage in captivating projects that showcase Python's versatility. Through step-by-step guidance and interactive exercises, this comprehensive guide empowers beginners and seasoned coders alike. Dive into the core concepts of Python, from data structures and algorithms to object-oriented programming and exception handling. Elevate your skills with practical projects that bring learning to life. Construct a command-line application for tracking expenses, develop a web application for managing tasks, and delve into machine learning with Python's powerful libraries. This guide is tailor-made for aspiring programmers, students, hobbyists, and professionals seeking to advance their Python expertise. Its structured approach and hands-on projects ensure that you grasp the intricacies of Python and emerge as a confident coder. Embrace Python's simplicity and power with "The Ultimate Python Guide." Conquer coding challenges, fuel your creativity, and unlock new possibilities in the realm of programming.
The Ultimate Guide To Snowpark
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Author : Shankar Narayanan SGS
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-05-30
The Ultimate Guide To Snowpark written by Shankar Narayanan SGS 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 2024-05-30 with Computers categories.
Develop robust data pipelines, deploy mature machine learning models, and build secure data apps with Snowflake Snowpark using Python Key Features Get to grips with Snowflake Snowpark’s basic and advanced features Implement workloads in domains like data engineering, data science, and data applications using Snowpark with Python Deploy Snowpark in production with practical examples and best practices Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionSnowpark is a powerful framework that helps you unlock numerous possibilities within the Snowflake Data Cloud. However, without proper guidance, leveraging the full potential of Snowpark with Python can be challenging. Packed with practical examples and code snippets, this book will be your go-to guide to using Snowpark with Python successfully. The Ultimate Guide to Snowpark helps you develop an understanding of Snowflake Snowpark and how it enables you to implement workloads in data engineering, data science, and data applications within the Data Cloud. From configuration and coding styles to workloads such as data manipulation, collection, preparation, transformation, aggregation, and analysis, this guide will equip you with the right knowledge to make the most of this framework. You'll discover how to build, test, and deploy data pipelines and data science models. As you progress, you’ll deploy data applications natively in Snowflake and operate large language models (LLMs) using Snowpark container services. By the end of this book, you'll be able to leverage Snowpark's capabilities and propel your career as a Snowflake developer to new heights.What you will learn Harness Snowpark with Python for diverse workloads Develop robust data pipelines with Snowpark using Python Deploy mature machine learning models Explore the process of developing, deploying, and monetizing native apps using Snowpark Deploy and operate containers in Snowpark Discover the pathway to adopting Snowpark effectively in production Who this book is for This book is for data engineers, data scientists, developers, and data practitioners seeking an in-depth understanding of Snowpark’s features and best practices for deploying various workloads in Snowpark using the Python programming language. Basic knowledge of SQL, proficiency in Python, an understanding of data engineering and data science basics, and familiarity with the Snowflake Data Cloud platform are required to get the most out of this book.
Predictive Analysis With Python 2025 Edition
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Author : Diego Rodrigues
language : en
Publisher: Diego Rodrigues
Release Date : 2025-01-01
Predictive Analysis With Python 2025 Edition 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 2025-01-01 with Business & Economics categories.
Welcome to "PREDICTIVE ANALYSIS WITH PYTHON: Anticipate Outcomes with Statistical Models - 2025 Edition," an essential work for those looking to transform data into powerful predictions and strategic decisions. Written by Diego Rodrigues, a best-selling author with over 180 books published in six languages, this guide combines theory and practice to help you master predictive analysis in a data-driven world. In this book, Python is your primary tool, a versatile language that simplifies everything from data exploration to the application of advanced models. Throughout the chapters, you’ll navigate fundamental topics and cutting-edge techniques such as machine learning, data visualization, hyperparameter optimization, and deploying models into production. The book includes practical case studies reflecting real-world scenarios, enabling you to apply your knowledge in areas like finance, healthcare, marketing, and more. From foundational statistics to modern frameworks like Scikit-learn and TensorFlow, each chapter is designed to cater to both beginners and experienced professionals looking to expand their skill set. Learn how to build reliable predictive models, interpret results, and align ethics and privacy with data analysis. Prepare for a dynamic and interactive learning experience, with practical examples, detailed scripts, and accessible explanations. Whether you aim to make assertive decisions, predict market trends, or optimize processes, this book will be your trusted guide to achieving excellence in predictive analysis. Invest in your future with "PREDICTIVE ANALYSIS WITH PYTHON." Your journey to mastering the art of anticipating outcomes starts now! TAGS: Python Java Linux Kali HTML ASP.NET Ada Assembly BASIC Borland Delphi C C# C++ CSS Cobol Compilers DHTML Fortran General 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 Dart SwiftUI Xamarin React Native NumPy Pandas SciPy Matplotlib Seaborn D3.js OpenCV NLTK PySpark BeautifulSoup Scikit-learn XGBoost CatBoost LightGBM FastAPI Redis RabbitMQ Kubernetes Docker Jenkins Terraform Ansible Vagrant GitHub GitLab CircleCI Regression Logistic Regression Decision Trees Random Forests AI ML K-Means Clustering Support Vector 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 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 Power BI IoT CI/CD Hadoop Spark Dask SQLAlchemy Web Scraping MySQL Big Data Science OpenAI ChatGPT Handler RunOnUiThread() Qiskit Q# Cassandra Bigtable VIRUS MALWARE Information Pen Test Cybersecurity Linux Distributions Ethical Hacking Vulnerability Analysis System Exploration Wireless Attacks Web Application Security Malware Analysis Social Engineering Social Engineering Toolkit SET Computer Science IT Professionals Careers Expertise Library Training Operating Systems Security Testing Penetration Test Cycle Mobile Techniques Industry Global Trends Tools Framework Network Security Courses Tutorials Challenges Landscape Cloud Threats Compliance Research Technology Flutter Ionic Web Views Capacitor APIs REST GraphQL Firebase Redux Provider Bitrise Actions Material Design Cupertino Fastlane Appium Selenium Jest Visual Studio AR VR sql mysql
Multidisciplinary Applications Of Ai Robotics And Autonomous Systems
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Author : Choudhury, Tanupriya
language : en
Publisher: IGI Global
Release Date : 2024-06-24
Multidisciplinary Applications Of Ai Robotics And Autonomous Systems written by Choudhury, Tanupriya and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-24 with Computers categories.
As society transitions into the digital age, the demand for advanced robotics and autonomous systems has remained unchanged. However, the field faces significant challenges bridging the gap between current capabilities and the potential for brilliant, autonomous machines. While exact and efficient, current robotic systems need more sophistication and adaptability of human intelligence. This limitation restricts their application in complex and dynamic environments, hindering their ability to realize their potential fully. Multidisciplinary Applications of AI Robotics and Autonomous Systems addresses these challenges by presenting cutting-edge research and innovative robotics and autonomous systems solutions. By exploring topics such as digital transformation, IoT, AI, and cloud-native computing paradigms, readers will understand the latest advancements in the field. The book delves into theoretical frameworks, computational models, and experimental approaches, offering insights to help researchers and practitioners develop more intelligent and autonomous machines.
Beginning With Machine Learning
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Author : Dr. Amit Dua
language : en
Publisher: BPB Publications
Release Date : 2022-12-12
Beginning With Machine Learning written by Dr. Amit Dua and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-12-12 with Computers categories.
A step-by-step guide to get started with Machine Learning KEY FEATURES ● Understand different types of Machine Learning like Supervised, Unsupervised, Semi-supervised, and Reinforcement learning. ● Learn how to implement Machine Learning algorithms effectively and efficiently. ● Get familiar with the various libraries & tools for Machine Learning. DESCRIPTION Should I choose supervised learning or reinforcement learning? Which algorithm is best suited for my application? How does deep learning advance the capacities of problem-solving? If you have found yourself asking these questions, this book is specially developed for you. The book will help readers understand the core concepts of machine learning and techniques to evaluate any machine learning model with ease. The book starts with the importance of machine learning by analyzing its impact on the global landscape. The book also covers Supervised and Unsupervised ML along with Reinforcement Learning. In subsequent chapters, the book explores these topics in even greater depth, evaluating the pros and cons of each and exploring important topics such as Bias-Variance Tradeoff, Clustering, and Dimensionality Reduction. The book also explains model evaluation techniques such as Cross-Validation and GridSearchCV. The book also features mind maps which help enhance the learning process by making it easier to learn and retain information. This book is a one-stop solution for covering basic ML concepts in detail and the perfect stepping stone to becoming an expert in ML and deep learning and even applying them to different professions. WHAT YOU WILL LEARN ● Understand important concepts to fully grasp the idea of supervised learning. ● Get familiar with the basics of unsupervised learning and some of its algorithms. ● Learn how to analyze the performance of your Machine Learning models. ● Explore the different methodologies of Reinforcement Learning. ● Learn how to implement different types of Neural networks. WHO THIS BOOK IS FOR This book is aimed at those who are new to machine learning and deep learning or want to extend their ML knowledge. Anyone looking to apply ML to data in their profession will benefit greatly from this book. TABLE OF CONTENTS 1. Introduction to Machine Learning 2. Supervised Learning 3. Unsupervised Learning 4. Model Evaluation 5. Reinforcement Learning 6. Neural Networking and Deep Learning 7. Appendix: Machine Learning Questions
Scipy Recipes
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Author : V Kishore Ayyadevara
language : en
Publisher: Packt Publishing Ltd
Release Date : 2017-12-20
Scipy Recipes written by V Kishore Ayyadevara 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 2017-12-20 with Computers categories.
Tackle the most sophisticated problems associated with scientific computing and data manipulation using SciPy Key Features Covers a wide range of data science tasks using SciPy, NumPy, pandas, and matplotlib Effective recipes on advanced scientific computations, statistics, data wrangling, data visualization, and more A must-have book if you're looking to solve your data-related problems using SciPy, on-the-go Book Description With the SciPy Stack, you get the power to effectively process, manipulate, and visualize your data using the popular Python language. Utilizing SciPy correctly can sometimes be a very tricky proposition. This book provides the right techniques so you can use SciPy to perform different data science tasks with ease. This book includes hands-on recipes for using the different components of the SciPy Stack such as NumPy, SciPy, matplotlib, and pandas, among others. You will use these libraries to solve real-world problems in linear algebra, numerical analysis, data visualization, and much more. The recipes included in the book will ensure you get a practical understanding not only of how a particular feature in SciPy Stack works, but also of its application to real-world problems. The independent nature of the recipes also ensure that you can pick up any one and learn about a particular feature of SciPy without reading through the other recipes, thus making the book a very handy and useful guide. What you will learn Get a solid foundation in scientific computing using Python Master common tasks related to SciPy and associated libraries such as NumPy, pandas, and matplotlib Perform mathematical operations such as linear algebra and work with the statistical and probability functions in SciPy Master advanced computing such as Discrete Fourier Transform and K-means with the SciPy Stack Implement data wrangling tasks efficiently using pandas Visualize your data through various graphs and charts using matplotlib Who this book is for Python developers, aspiring data scientists, and analysts who want to get started with scientific computing using Python will find this book an indispensable resource. If you want to learn how to manipulate and visualize your data using the SciPy Stack, this book will also help you. A basic understanding of Python programming is all you need to get started.
Advanced Python For Cybersecurity Techniques In Malware Analysis Exploit Development And Custom Tool Creation
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Author : Adam Jones
language : en
Publisher: Walzone Press
Release Date : 2025-01-03
Advanced Python For Cybersecurity Techniques In Malware Analysis Exploit Development And Custom Tool Creation written by Adam Jones and has been published by Walzone Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-03 with Computers categories.
Embark on an advanced journey into cybersecurity with "Advanced Python for Cybersecurity: Techniques in Malware Analysis, Exploit Development, and Custom Tool Creation". This comprehensive guide empowers you to harness the power and elegance of Python to confront modern cyber threats. Catering to both beginners drawn to cybersecurity and seasoned professionals looking to deepen their Python expertise, this book offers invaluable insights. Explore the intricacies of malware analysis, exploit development, and network traffic analysis through in-depth explanations, practical examples, and hands-on exercises. Master the automation of laborious security tasks, the development of sophisticated custom cybersecurity tools, and the execution of detailed web security assessments and vulnerability scanning—all utilizing Python. "Advanced Python for Cybersecurity" simplifies complex cybersecurity concepts while equipping you with the skills to analyze, understand, and defend against ever-evolving cyber threats. This book is your springboard to enhancing your cybersecurity capabilities, making your digital environment more secure with each line of Python code you craft. Unlock Python's potential in cyber defense and arm yourself with the knowledge to safeguard against digital threats.