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Anaconda Spanish Edition
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Download or read book Anaconda written by Horacio Quiroga and published by Createspace Independent Publishing Platform. This book was released on 2017-09-06 with total page 26 pages. Available in PDF, EPUB and Kindle. Book excerpt: El autor expone en las p�ginas del libro su gran amor hacia la naturaleza y los animales, teniendo una gran solidaridad con ellos a lo largo de su vida, plasma la destrucci�n del hombre con respecto a la naturaleza que invade su h�bitat, los persigue, los mata y destruye sin pararse a pensar en que la vida de todos los animales y especies es esencial para el planeta, muchos de sus personajes son los mismos animales que interactuando con el hombre son los h�roes de estas historias.
Book Synopsis Anaconda / Anaconda by : Juliet Burke
Download or read book Anaconda / Anaconda written by Juliet Burke and published by Gareth Stevens Publishing LLLP. This book was released on 2011-01-01 with total page 26 pages. Available in PDF, EPUB and Kindle. Book excerpt: This bilingual journey—with translation of English into standard Latin-American Spanish—takes readers up close to anacondas, the killer snake that can weigh as much as 550 pounds. Fascinating photographs show different types of anacondas as they swim, hunt, and squeeze their prey in the rain forests of South America.
Download or read book Anaconda written by Hans Bauer and published by Createspace Independent Publishing Platform. This book was released on 2014-01-23 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: "It has been said that, among the continents, South America will teach it to you: God and the Devil are the same; this last great reservoir of primordial wilderness is at once both Garden of Eden and green sweltering Hell." In the dead of a Chicago winter, a twenty-something middle-school biology teacher, Andie Easter, and six young colleagues, hatch a plan to spend their summer in Brazil, hoping to reverse their meager fortunes by joining a modern-day gold rush on a tributary of the mighty Amazon. Disoriented and increasingly isolated, the treasure hunters stray into the remote domain of three colossal snakes: daughter, mother, grandmother. One by one, under terrifying circumstances, the teachers fall victim to the devastating effects of gold fever and the relentless brutality of the primeval South American jungle. Andie Easter must discover her inner Amazon to avoid becoming prey for the Mother of All Snakes.
Book Synopsis Bulletin of the International Railway Congress Association [English Edition] by : International Railway Congress Association
Download or read book Bulletin of the International Railway Congress Association [English Edition] written by International Railway Congress Association and published by . This book was released on 1902 with total page 1694 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Anaconda written by Horacio Quiroga and published by . This book was released on 1969 with total page 169 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis The Decapitated Chicken and Other Stories by : Horacio Quiroga
Download or read book The Decapitated Chicken and Other Stories written by Horacio Quiroga and published by University of Texas Press. This book was released on 2013-05-15 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt: Tales of horror, madness, and death, tales of fantasy and morality: these are the works of South American master storyteller Horacio Quiroga. Author of some 200 pieces of fiction that have been compared to the works of Poe, Kipling, and Jack London, Quiroga experienced a life that surpassed in morbidity and horror many of the inventions of his fevered mind. As a young man, he suffered his father's accidental death and the suicide of his beloved stepfather. As a teenager, he shot and accidentally killed one of his closest friends. Seemingly cursed in love, he lost his first wife to suicide by poison. In the end, Quiroga himself downed cyanide to end his own life when he learned he was suffering from an incurable cancer. In life Quiroga was obsessed with death, a legacy of the violence he had experienced. His stories are infused with death, too, but they span a wide range of short fiction genres: jungle tale, Gothic horror story, morality tale, psychological study. Many of his stories are set in the steaming jungle of the Misiones district of northern Argentina, where he spent much of his life, but his tales possess a universality that elevates them far above the work of a regional writer. The first representative collection of his work in English, The Decapitated Chicken and Other Stories provides a valuable overview of the scope of Quiroga's fiction and the versatility and skill that have made him a classic Latin American writer.
Book Synopsis Data Visualization with Python by : Dr. Pooja
Download or read book Data Visualization with Python written by Dr. Pooja and published by BPB Publications. This book was released on 2023-07-11 with total page 309 pages. Available in PDF, EPUB and Kindle. Book excerpt: Transforming data into actionable insights using Python KEY FEATURES ● Gain a comprehensive understanding of data visualization and exploratory data analysis (EDA) using Python. ● Discover valuable insights and patterns in data through visual analysis. ● Master the art of effectively communicating complex concepts by creating compelling and impactful data visualizations. DESCRIPTION Python is a popular programming language for data visualization due to its rich ecosystem of libraries and tools. If you're interested in delving into data visualization in Python, this book is an excellent resource to begin your journey. With Matplotlib, you'll master the art of creating a wide range of charts, plots, and graphs. From basic line plots to complex 3D visualizations, you'll learn how to transform raw data into engaging visuals that tell compelling stories. Dive into Seaborn, a high-level library built on top of Matplotlib, and discover how to effortlessly create beautiful and informative statistical visualizations effortlessly. From heatmaps to distribution plots, you'll unleash the full potential of Seaborn in your data analysis endeavors. Lastly, you will learn how to unleash the true potential of Bokeh and create compelling data visualizations that allow users to explore and interact with data dynamically. By the end of the book, you will have acquired the knowledge and skills necessary to create a diverse range of visualizations proficiently. WHAT YOU WILL LEARN ● Utilize Matplotlib, Seaborn, and Bokeh to produce visually captivating visualizations. ● Gain expertise in various types of charts, plots, and graphs. ● Craft visually appealing and informative statistical visualizations. ● Construct interactive and adaptable plots using Bokeh. ● Explore various techniques for conducting Exploratory Data Analysis (EDA). WHO THIS BOOK IS FOR This book caters to a wide audience, including undergraduate and postgraduate students, researchers, data managers, and data analysts. It presents an all-encompassing exploration of data visualization, equipping you with the essential groundwork to progress as a data-driven professional. TABLE OF CONTENTS 1. Understanding Data 2. Data Visualization – Importance 3. Data Visualization Use Cases 4. Data Visualization Tools and Techniques 5. Data Visualization with Matplotlib 6. Data Visualization with Seaborn 7. Data Visualization with Bokeh 8. Exploratory Data Analysis
Book Synopsis The Big Book of Tasks for English Language Development, Grades K-8 by : Nancy Akhavan
Download or read book The Big Book of Tasks for English Language Development, Grades K-8 written by Nancy Akhavan and published by Corwin Press. This book was released on 2024-03-26 with total page 249 pages. Available in PDF, EPUB and Kindle. Book excerpt: Ready-to-go English Language Development tasks that focus on students "doing the doing" of talking, reading, listening, and responding. In recent years, the percentage of English Language Learners (ELLs) has increased in almost every state, so most teachers are faced with the challenge of teaching literacy to students acquiring English alongside English-speaking students. However, in many integrated learning situations, English Language Development (ELD) instruction is strikingly different than the teaching we provide students whose first language is English. The Big Book of Tasks for English Language Development helps teachers meet that challenge head-on! Bestselling author and esteemed education consultant Nancy Akhavan shows that teaching multilingual learners requires changing our instruction to focus on practices that have high impact for students as they acquire language. Yet it’s not about doing more— it’s about doing smarter. It’s about having high expectations for all students and providing scaffolds to support students at all levels of English language proficiency as they learn and grow more confident. All the ready-to-go activities in the book Center on active tasks where students do the thinking, talking, reading, and writing, with appropriate support Activate the domains of language — listening, speaking, reading, and writing — and recognize that these do not develop at the same rate Honor the continuum of language development and build on what students can do Provide teaching tools such as learning targets, suggestions for when to use a task, basic instructions and "teacher talk" for launching a task, and "Watch Fors and Work-Arounds" Focus on the linguistic assets multilingual learners bring to the classroom and provide opportunities to help them collaborate with peers With Nancy Akhavan’s signature straightforward, teacher-friendly style, this book offers an uplifting reminder that with the right teaching strategies, educators can support multilingual learners to achieve their full potential and thrive in their learning journeys.
Book Synopsis I Had a Hippopotamus by : Hector Viveros Lee
Download or read book I Had a Hippopotamus written by Hector Viveros Lee and published by . This book was released on 1999 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: An imaginative boy opens a box of animal crackers and gives his family members a hippopotamus, anaconda, rhinoceros, and other exotic animals.
Book Synopsis Neural Network Computer Vision with OpenCV 5 by : Gopi Krishna Nuti
Download or read book Neural Network Computer Vision with OpenCV 5 written by Gopi Krishna Nuti and published by BPB Publications. This book was released on 2023-12-30 with total page 351 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unlocking computer vision with Python and OpenCV KEY FEATURES ● Practical solutions to image processing challenges. ● Detect and classify objects in images. ● Recognize faces and text from images using character detection and recognition models. DESCRIPTION Neural Network Computer Vision with OpenCV equips you with professional skills and knowledge to build intelligent vision systems using OpenCV. It creates a sequential pathway for understanding morphological operations, edge and corner detection, object localization, image classification, segmentation, and advanced applications like face detection and recognition, and optical character recognition. This book offers a practical roadmap to explore the nuances of image processing with detailed discussions on each topic, supported by hands-on Python code examples. The readers will learn the basics of neural networks, deep learning and CNNs by using deep learning frameworks like Keras, Tensorflow, PyTorch, Caffe etc. They will be able to utilize OpenCV DNN module to classify images by using models like Inception V3, Resnet 101, Mobilenet V2. Moreover, the book will help to successfully Implement object detection using YOLOv3, SSD and R-CNN models. The character detection and recognition models are also covered in depth with code examples. You will gain a deeper understanding of how these techniques impact real-world scenarios and learn to harness the potential of Python and OpenCV to solve complex problems. Whether you are building intelligent systems, automating processes, or working on image-related projects, this book equips you with the skills to revolutionize your approach to visual data. WHAT YOU WILL LEARN ● Acquire expertise in image manipulation techniques. ● Apply knowledge to practical scenarios in computer vision. ● Implement robust systems for face detection and recognition. ● Enhance projects with accurate object localization capabilities. ● Extract text information from images effectively. WHO THIS BOOK IS FOR This book is designed for those with basic Python skills, from beginners to intermediate-level readers. Whether you are building intelligent robots that perceive their surroundings or crafting advanced vision systems for object detection and image analysis, this book will equip you with the tools and skills to push the boundaries of AI perception. TABLE OF CONTENTS 1. Introduction to Computer Vision 2. Basics of Imaging 3. Challenges in Computer Vision 4. Classical Solutions 5. Deep Learning and CNNs 6. OpenCV DNN Module 7. Modern Solutions for Image Classification 8. Modern Solutions for Object Detection 9. Faces and Text 10. Running the Code 11. End-to-end Demo
Book Synopsis The Unconscious as Infinite Sets by : Ignacio Matte Blanco
Download or read book The Unconscious as Infinite Sets written by Ignacio Matte Blanco and published by Routledge. This book was released on 2018-03-29 with total page 462 pages. Available in PDF, EPUB and Kindle. Book excerpt: A systematic effort to rethink Freud's theory of the unconscious, aiming to separate out the different forms of unconsciousness. The logico-mathematical treatment of the subject is made easy because every concept used is simple and simply explained from first principles. Each renewed explanation of the facts brings the emergence of new knowledge from old material of truly great importance to the clinician and the theorist alike. A highly original book that ought to be read by everyone interested in psychiatry or in Freudian psychology.
Book Synopsis Ultimate Neural Network Programming with Python by : Vishal Rajput
Download or read book Ultimate Neural Network Programming with Python written by Vishal Rajput and published by Orange Education Pvt Ltd. This book was released on 2023-11-04 with total page 366 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master Neural Networks for Building Modern AI Systems. KEY FEATURES ● Comprehensive Coverage of Foundational AI Concepts and Theories. ● In-Depth Exploration of Maths Behind Neural Network Mathematics. ● Effective Strategies for Structuring Deep Learning Code. ● Real-World Applications of AI Principles and Techniques. DESCRIPTION This book is a practical guide to the world of Artificial Intelligence (AI), unraveling the math and principles behind applications like Google Maps and Amazon. The book starts with an introduction to Python and AI, demystifies complex AI math, teaches you to implement AI concepts, and explores high-level AI libraries. Throughout the chapters, readers are engaged with the book through practice exercises, and supplementary learnings. The book then gradually moves to Neural Networks with Python before diving into constructing ANN models and real-world AI applications. It accommodates various learning styles, letting readers focus on hands-on implementation or mathematical understanding. This book isn't just about using AI tools; it's a compass in the world of AI resources, empowering readers to modify and create tools for complex AI systems. It ensures a journey of exploration, experimentation, and proficiency in AI, equipping readers with the skills needed to excel in the AI industry. WHAT WILL YOU LEARN ● Leverage TensorFlow and Keras while building the foundation for creating AI pipelines. ● Explore advanced AI concepts, including dimensionality reduction, unsupervised learning, and optimization techniques. ● Master the intricacies of neural network construction from the ground up. ● Dive deeper into neural network development, covering derivatives, backpropagation, and optimization strategies. ● Harness the power of high-level AI libraries to develop production-ready code, allowing you to accelerate the development of AI applications. ● Stay up-to-date with the latest breakthroughs and advancements in the dynamic field of artificial intelligence. WHO IS THIS BOOK FOR? This book serves as an ideal guide for software engineers eager to explore AI, offering a detailed exploration and practical application of AI concepts using Python. AI researchers will find this book enlightening, providing clear insights into the mathematical concepts underlying AI algorithms and aiding in writing production-level code. This book is designed to enhance your skills and knowledge to create sophisticated, AI-powered solutions and advance in the multifaceted field of AI. TABLE OF CONTENTS 1. Understanding AI History 2. Setting up Python Workflow for AI Development 3. Python Libraries for Data Scientists 4. Foundational Concepts for Effective Neural Network Training 5. Dimensionality Reduction, Unsupervised Learning and Optimizations 6. Building Deep Neural Networks from Scratch 7. Derivatives, Backpropagation, and Optimizers 8. Understanding Convolution and CNN Architectures 9. Understanding the Basics of TensorFlow and Keras 10. Building End-to-end Image Segmentation Pipeline 11. Latest Advancements in AI Index
Book Synopsis Ultimate Enterprise Data Analysis and Forecasting using Python by : Shanthababu Pandian
Download or read book Ultimate Enterprise Data Analysis and Forecasting using Python written by Shanthababu Pandian and published by Orange Education Pvt Ltd. This book was released on 2023-12-28 with total page 454 pages. Available in PDF, EPUB and Kindle. Book excerpt: Practical Approaches to Time Series Analysis and Forecasting using Python for Informed Decision-Making KEY FEATURES ● Comprehensive Resource for Python-Based Time Series Analysis and Forecasting. ● Delve into real-world applications with industry-specific case studies. ● Extract valuable insights by solving time series challenges across various sectors. ● Understand the significance of Azure Time Series Insights and AWS Forecast components. ● Practical insights into leveraging cloud platforms for efficient time series forecasting. DESCRIPTION Embark on a transformative journey through the intricacies of time series analysis and forecasting with this comprehensive handbook. Beginning with the essential packages for data science and machine learning projects you will delve into Python's prowess for efficient time series data analysis, exploring the core components and real-world applications across various industries through compelling use-case studies. From understanding classical models like AR, MA, ARMA, and ARIMA to exploring advanced techniques such as exponential smoothing and ETS methods, this guide ensures a deep understanding of the subject. It will help you navigate the complexities of vector autoregression (VAR, VMA, VARMA) and elevate your skills with a deep dive into deep learning techniques for time series analysis. By the end of this book, you will be able to harness the capabilities of Azure Time Series Insights and explore the cutting-edge AWS Forecast components, unlocking the cloud's power for advanced and scalable time series forecasting. WHAT WILL YOU LEARN ● Explore Time Series Data Analysis and Forecasting, covering components and significance. ● Gain a practical understanding through hands-on examples and real-world case studies. ● Master Time Series Models (AR, MA, ARMA, ARIMA, VAR, VMA, VARMA) with executable samples. ● Delve into Deep Learning for Time Series Analysis, demystified with classical examples. ● Actively engage with Azure Time Series Insights and AWS Forecast components for a contemporary perspective. WHO IS THIS BOOK FOR? This book caters to beginners, intermediates, and practitioners in data-related fields such as Data Analysts, Data Scientists, and Machine Learning Engineers, as well as those venturing into Time Series Analysis and Forecasting. It assumes readers have a foundational understanding of programming languages (C, C++, Python), data structures, statistics, and visualization concepts. With a focus on specific projects, it also functions as a quick reference for advanced users. TABLE OF CONTENTS 1. Introduction to Python and its key packages for DS and ML Projects 2. Python for Time Series Data Analysis 3. Time Series Analysis and its Components 4. Time Series Analysis and Forecasting Opportunities in Various Industries 5. Exploring various aspects of Time Series Analysis and Forecasting 6. Exploring Time Series Models - AR, MA, ARMA, and ARIMA 7. Understanding Exponential Smoothing and ETS Methods in TSA 8. Exploring Vector Autoregression and its Subsets (VAR, VMA, and VARMA) 9. Deep Learning for Time Series Analysis and Forecasting 10. Azure Time Series Insights 11. AWSForecast Index
Book Synopsis Web Data Mining with Python by : Dr. Ranjana Rajnish
Download or read book Web Data Mining with Python written by Dr. Ranjana Rajnish and published by BPB Publications. This book was released on 2023-01-31 with total page 309 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explore different web mining techniques to discover patterns, structures, and information from the web KEY FEATURES ● A complete overview of the basic and advanced concepts of Web mining. ● Work with easy-to-use open-source Python libraries for Web mining. ● Get familiar with the various beneficial areas and applications of Web mining. DESCRIPTION Data Science is the fastest growing job across the globe and is predicted to create 11.5 million jobs by 2026, so job seekers with this skill set have a lot of opportunities. One of the most sought areas in the field of Data Science is mining information from the web. If you are an aspiring Data Scientist looking to learn different Web mining techniques, then this book is for you. This book starts by covering the key concepts of Web mining and its taxonomy. It then explores the basics of Web scraping, its uses and components followed by topics like legal aspects related to scraping, data extraction and pre-processing, scraping dynamic websites, and CAPTCHA. The book also introduces you to the concept of Opinion mining and Web structure mining. Furthermore, it covers Web graph mining, Web information extraction, Web search and hyperlinks, Hyperlink Induced Topic Search (HITS) search, and partitioning algorithms that are used for Web mining. Towards the end, the book will teach you different mining techniques to discover interesting usage patterns from Web data. By the end of the book, you will master the art of data extraction using Python. WHAT YOU WILL LEARN ● Learn how to scrape data from any website with Python. ● Get familiar with the concepts of Opinion Mining and Sentiment Analysis. ● Use Web structure mining to discover structure information from the web. ● Learn how to collect and analyze social media data using Python. ● Use Web usage mining for predicting users' browsing behaviors. WHO THIS BOOK IS FOR The book is for anyone who wants to learn Web mining. Aspiring Data Scientists, Data Engineers, and Data Analysts who want to master Web mining will find this book very helpful. TABLE OF CONTENTS 1. Web Mining—An Introduction 2. Web Mining Taxonomy 3. Prominent Applications with Web Mining 4. Python Fundamentals 5. Web Scraping 6. Web Opinion Mining 7. Web Structure Mining 8. Social Network Analysis in Python 9. Web Usage Mining
Book Synopsis Simplified Machine Learning by : Dr. Pooja Sharma
Download or read book Simplified Machine Learning written by Dr. Pooja Sharma and published by BPB Publications. This book was released on 2024-06-15 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explore the world of Artificial Intelligence with a deep understanding of Machine Learning concepts and algorithms KEY FEATURES ● A detailed study of mathematical concepts, Machine Learning concepts, and techniques. ● Discusses methods for evaluating model performances and interpreting results. ● Explores all types of Machine Learning (supervised, unsupervised, reinforcement, association rule mining, artificial neural network) in detail. ● Comprises numerous review questions and programming exercises at the end of every chapter. DESCRIPTION "Simplified Machine Learning" is a comprehensive guide that navigates readers through the intricate landscape of Machine Learning, offering a balanced blend of theory, algorithms, and practical applications. The first section introduces foundational concepts such as supervised and unsupervised learning, regression, classification, clustering, and feature engineering, providing a solid base in Machine Learning theory. The second section explores algorithms like decision trees, support vector machines, and neural networks, explaining their functions, strengths, and limitations, with a special focus on deep learning, reinforcement learning, and ensemble methods. The book also covers essential topics like model evaluation, hyperparameter tuning, and model interpretability. The final section transitions from theory to practice, equipping readers with hands-on experience in deploying models, building scalable systems, and understanding ethical considerations. By the end, readers will be able to leverage Machine Learning effectively in their respective fields, armed with practical skills and a strategic approach to problem-solving. WHAT YOU WILL LEARN ● Solid foundation in Machine Learning principles, algorithms, and methodologies. ● Implementation of Machine Learning models using popular libraries like NumPy, Pandas, PyTorch, or scikit-learn. ● Knowledge about selecting appropriate models, evaluating their performance, and tuning hyperparameters. ● Techniques to pre-process and engineer features for Machine Learning models. ● To frame real-world problems as Machine Learning tasks and apply appropriate techniques to solve them. WHO THIS BOOK IS FOR This book is designed for a diverse audience interested in Machine Learning, a core branch of Artificial Intelligence. Its intellectual coverage will benefit students, programmers, researchers, educators, AI enthusiasts, software engineers, and data scientists. TABLE OF CONTENTS 1. Introduction to Machine Learning 2. Data Pre-processing 3. Supervised Learning: Regression 4. Supervised Learning: Classification 5. Unsupervised Learning: Clustering 6. Dimensionality Reduction and Feature Selection 7. Association Rule Mining 8. Artificial Neural Network 9. Reinforcement Learning 10. Project Appendix Bibliography
Book Synopsis Guillo, El Armadillo by : Andrea Olatunji
Download or read book Guillo, El Armadillo written by Andrea Olatunji and published by . This book was released on 2020-12-15 with total page 60 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the second book in Nuestra Fauna series which highlights animals that are native to the Americas. This beautifully illustrated story inspires kids to discover and believe in their talents while teaching them Spanish in a fun and contextualized way. Guillo the armadillo starts his week very excited to go to school but as the days go, he gets frustrated because he cannot meet the daily school challenges. He is either too short, too slow, or just unfit to do these tasks. By the end of the week, he is convinced that school is not for him and that he can't do anything well. Later on, however, a surprising event reveals his unique talent.This is a bilingual edition (English/Spanish)
Download or read book Pandas in 7 Days written by Fabio Nelli and published by BPB Publications. This book was released on 2022-04-25 with total page 433 pages. Available in PDF, EPUB and Kindle. Book excerpt: Make data analysis fast, reliable, and clean with Python, Pandas and Matplotlib. KEY FEATURES ● A detailed walk-through of the Pandas library's features with multiple examples. ● Numerous graphical representations and reporting capabilities using popular Matplotlib. ● A high-level overview of extracting data from including files, databases, and the web. DESCRIPTION No matter how large or small your dataset is, the author 'Fabio Nelli' simply used this book to teach all the finest technical coaching on applying Pandas to conduct data analysis with zero worries. Both newcomers and seasoned professionals will benefit from this book. It teaches you how to use the pandas library in just one week. Every day of the week, you'll learn and practise the features and data analysis exercises listed below: Day 01: Get familiar with the fundamental data structures of pandas, including Declaration, data upload, indexing, and so on. Day 02: Execute commands and operations related to data selection and extraction, including slicing, sorting, masking, iteration, and query execution. Day 03: Advanced commands and operations such as grouping, multi-indexing, reshaping, cross-tabulations, and aggregations. Day 04: Working with several data frames, including comparison, joins, concatenation, and merges. Day 05: Cleaning, pre-processing, and numerous strategies for data extraction from external files, the web, databases, and other data sources. Day 06: Working with missing data, interpolation, duplicate labels, boolean data types, text data, and time-series datasets. Day 07: Introduction to Jupyter Notebooks, interactive data analysis, and analytical reporting with Matplotlib's stunning graphics. WHAT YOU WILL LEARN ●Extract, cleanse, and process data from databases, text files, HTML pages, and JSON data. ●Work with DataFrames and Series, and apply functions to scale data manipulations. ●Graph your findings using charts typically used in modern business analytics. ●Learn to use all of the pandas basic and advanced features independently. ● Storing and manipulating labeled/columnar data efficiently. WHO THIS BOOK IS FOR If you're looking to expedite a data science or sophisticated data analysis project, you've come to the perfect place. Each data analysis topic is covered step-by-step with real-world examples. Python knowledge isn't required however, knowing a little bit helps. TABLE OF CONTENTS 1. Pandas, the Python library 2. Setting up a Data Analysis Environment 3. Day 1 - Data Structures in Pandas library 4. Day 2 - Working within a DataFrame, Basic Functionalities 5. Day 3 - Working within a DataFrame, Advanced Functionalities 6. Day 4 - Working with two or more DataFrames 7. Day 5 - Working with data sources and real-word datasets 8. Day 6 - Troubleshooting Challenges wit Real Datasets 9. Day 7 - Data Visualization and Reporting 10. Conclusion – Moving Beyond
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