Data Manipulation With Python Step By Step A Practical Guide With Examples

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Data Manipulation With Python Step By Step A Practical Guide With Examples

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Author : William E. Clark
language : en
Publisher: Walzone Press
Release Date : 2025-04-17

Data Manipulation With Python Step By Step A Practical Guide With Examples written by William E. Clark and has been published by Walzone Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-17 with Computers categories.

Data Manipulation with Python Step by Step: A Practical Guide with Examples offers a clear and systematic approach to mastering data handling tasks in Python. The book begins with essential programming fundamentals, ensuring that readers, regardless of background, acquire a thorough grounding in variables, data types, control flow, and function definition. This foundation is progressively expanded to encompass the use of built-in data structures and the effective management of input and output across various file formats. As the book advances, it introduces the pandas library, providing detailed guidance on leveraging DataFrames and Series for efficient data organization, transformation, and analysis. Readers learn practical solutions for common challenges such as importing data, cleaning and standardizing datasets, handling missing or inconsistent values, and working with date and time information. Each concept is presented with clear explanations and relevant examples that facilitate immediate application to real-world data scenarios. Designed for students, analysts, and professionals, this book balances accessibility with technical rigor. By integrating practical tutorials and a complete project, it enables readers to translate foundational concepts into robust workflows for data preparation, exploration, and reporting. Upon completion, readers will be prepared to manage diverse data tasks with confidence, optimizing Python’s capabilities for effective data manipulation and analysis.

Web Scraping With Python Step By Step A Practical Guide With Examples

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Author : William E. Clark
language : en
Publisher: Walzone Press
Release Date : 2025-04-12

Web Scraping With Python Step By Step A Practical Guide With Examples written by William E. Clark and has been published by Walzone Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-12 with Computers categories.

"Web Scraping with Python Step by Step: A Practical Guide with Examples" offers a detailed exploration into the world of web scraping, specifically tailored for enthusiasts looking to leverage Python for data extraction tasks. This book demystifies the complexities of web scraping, providing readers with a clear understanding of how to gather and manipulate web data efficiently and effectively. It addresses everything from fundamental concepts to advanced techniques, ensuring that readers acquire both breadth and depth in their scraping skills. The book is meticulously organized to address the needs of both beginners and experienced developers. Beginning with foundational knowledge of Python and web technologies, it progresses through setting up a robust scraping environment and understanding HTML structures. The intricate processes of data extraction, transformation, and automation are examined thoroughly, backed by detailed examples and practical insights. Readers are guided through parsing HTML, dealing with HTTP protocols, and navigating dynamic content, ensuring a holistic grasp of the web scraping landscape. Beyond technical prowess, this book emphasizes ethical considerations, encouraging responsible scraping practices to safeguard both user data privacy and legal compliance. With a focus on future trends and real-world applications, this book not only prepares readers for current challenges but also positions them to adapt to evolving technologies. Whether you are a data analyst, developer, or researcher, this guide empowers you to harness the full potential of Python in web scraping ventures, contributing to informed decision-making and data-driven innovations.

Exploratory Data Analysis With Python Cookbook

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Author : Ayodele Oluleye
language : en
Publisher: Packt Publishing Ltd
Release Date : 2023-06-30

Exploratory Data Analysis With Python Cookbook written by Ayodele Oluleye and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-30 with Computers categories.

Extract valuable insights from data by leveraging various analysis and visualization techniques with this comprehensive guide Purchase of the print or Kindle book includes a free PDF eBook Key Features Gain practical experience in conducting EDA on a single variable of interest in Python Learn the different techniques for analyzing and exploring tabular, time series, and textual data in Python Get well versed in data visualization using leading Python libraries like Matplotlib and seaborn Book DescriptionIn today's data-centric world, the ability to extract meaningful insights from vast amounts of data has become a valuable skill across industries. Exploratory Data Analysis (EDA) lies at the heart of this process, enabling us to comprehend, visualize, and derive valuable insights from various forms of data. This book is a comprehensive guide to Exploratory Data Analysis using the Python programming language. It provides practical steps needed to effectively explore, analyze, and visualize structured and unstructured data. It offers hands-on guidance and code for concepts such as generating summary statistics, analyzing single and multiple variables, visualizing data, analyzing text data, handling outliers, handling missing values and automating the EDA process. It is suited for data scientists, data analysts, researchers or curious learners looking to gain essential knowledge and practical steps for analyzing vast amounts of data to uncover insights. Python is an open-source general purpose programming language which is used widely for data science and data analysis given its simplicity and versatility. It offers several libraries which can be used to clean, analyze, and visualize data. In this book, we will explore popular Python libraries such as Pandas, Matplotlib, and Seaborn and provide workable code for analyzing data in Python using these libraries. By the end of this book, you will have gained comprehensive knowledge about EDA and mastered the powerful set of EDA techniques and tools required for analyzing both structured and unstructured data to derive valuable insights.What you will learn Perform EDA with leading python data visualization libraries Execute univariate, bivariate and multivariate analysis on tabular data Uncover patterns and relationships within time series data Identify hidden patterns within textual data Learn different techniques to prepare data for analysis Overcome challenge of outliers and missing values during data analysis Leverage automated EDA for fast and efficient analysis Who this book is forWhether you are a data analyst, data scientist, researcher or a curious learner looking to analyze structured and unstructured data, this book will appeal to you. It aims to empower you with essential knowledge and practical skills for analyzing and visualizing data to uncover insights. It covers several EDA concepts and provides hands-on instructions on how these can be applied using various Python libraries. Familiarity with basic statistical concepts and foundational knowledge of python programming will help you understand the content better and maximize your learning experience.

Python For Entrepreneurs Beginner S Guide To Coding And Automating Your Business

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Author : Diego Rafael Montoya
language : en
Publisher: Gabriel Mensah
Release Date : 2025-07-01

Python For Entrepreneurs Beginner S Guide To Coding And Automating Your Business written by Diego Rafael Montoya and has been published by Gabriel Mensah this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-01 with Business & Economics categories.

🚀 Launch, Automate & Grow Your Business with Python Are you an entrepreneur who’s tired of manual work, broken systems, or third-party fees? Python for Entrepreneurs is your comprehensive, hands-on guide that shows you how to build custom tools, automate repetitive tasks, and unlock growth potential—without needing a developer. 🔧 What You’ll Build & Learn Automate Business Processes Write scripts to scrape competitor data, send personalized emails, generate invoices, or post to social media—freeing up hours every day. Streamline Online Operations Connect APIs (e.g., Stripe, Mailchimp, Google Sheets) so your systems talk to each other—no coding expertise required. Launch a Basic Web App Learn Flask essentials so you can create a mini-CRM, booking tool, dashboard, or client portal—and scale it over time. Gain Coding Confidence Start from foundational basics (variables, loops, functions) and build your skills through practical examples. Hands-On Projects Included Step-by-step tutorials guide you from zero code to full business automations, with downloadable templates to accelerate your journey. 💡 Why This Book Is a Must-Have Entrepreneur-Focused Approach: Not a generic coding manual—every lesson geared toward solving real business problems. Immediate ROI: Instead of paying developers or subscribing to services, build your own tools and systems your way. No Technical Experience? No Problem: Learn Python in plain language, with small projects that deliver results fast. 🎯 Who Will Benefit Most Small business owners tired of manual data entry, invoicing, or outreach. Solopreneurs ready to build their own digital tools and save on monthly fees. Startup founders who want to prototype ideas and impress investors. Freelancers seeking to automate scheduling, billing, and delivery workflows. 📈 Benefits You’ll Gain Time Savings: Reduce manual tasks—from hours to minutes. Cost Savings: Skip pricey SaaS tools—build tools tailored to your business. Scalability & Control: Own your systems—no vendor lock-in. Career Edge: Python is one of the top in-demand languages globally. 🛠️ Bonus Features Cheat sheets for common business automations and API integrations. Clear, jargon-free explanations so you learn fast and effectively. Real-world examples used by entrepreneurs—validated by communities like “Coding for Entrepreneurs” . Ready to take control of your business? Tap into the power of Python—transform manual tasks into automated systems, save money, and scale smarter. Get your copy of Python for Entrepreneurs and start building business automation tools today! Why This Works: Clear benefits and outcomes prioritized. Hands-on, entrepreneur-focused projects promised. Adds credibility with community references and high-demand language stats. Strong call to action prompting immediate purchase.

Machine Learning Crash Course For Engineers

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Author : Eklas Hossain
language : en
Publisher: Springer Nature
Release Date : 2023-12-26

Machine Learning Crash Course For Engineers written by Eklas Hossain and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-26 with Mathematics categories.

​Machine Learning Crash Course for Engineers is a reader-friendly introductory guide to machine learning algorithms and techniques for students, engineers, and other busy technical professionals. The book focuses on the application aspects of machine learning, progressing from the basics to advanced topics systematically from theory to applications and worked-out Python programming examples. It offers highly illustrated, step-by-step demonstrations that allow readers to implement machine learning models to solve real-world problems. This powerful tutorial is an excellent resource for those who need to acquire a solid foundational understanding of machine learning quickly.

Mastering Julia

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Author : Malcolm Sherrington
language : en
Publisher: Packt Publishing Ltd
Release Date : 2015-07-22

Mastering Julia written by Malcolm Sherrington and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-07-22 with Computers categories.

Julia is a well-constructed programming language with fast execution speed, eliminating the classic problem of performing analysis in one language and translating it for performance into a second. This book will help you develop and enhance your programming skills in Julia to solve real-world automation challenges. This book starts off with a refresher on installing and running Julia on different platforms. Next, you will compare the different ways of working with Julia and explore Julia's key features in-depth by looking at design and build. You will see how data works using simple statistics and analytics, and discover Julia's speed, its real strength, which makes it particularly useful in highly intensive computing tasks and observe how Julia can cooperate with external processes in order to enhance graphics and data visualization. Finally, you will look into meta-programming and learn how it adds great power to the language and establish networking and distributed computing with Julia.

Python In Neuroscience

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Author : Eilif Muller
language : en
Publisher: Frontiers Media SA
Release Date : 2015-07-23

Python In Neuroscience written by Eilif Muller and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-07-23 with Neurosciences. Biological psychiatry. Neuropsychiatry categories.

Python is rapidly becoming the de facto standard language for systems integration. Python has a large user and developer-base external to theneuroscience community, and a vast module library that facilitates rapid and maintainable development of complex and intricate systems. In this Research Topic, we highlight recent efforts to develop Python modules for the domain of neuroscience software and neuroinformatics: - simulators and simulator interfaces - data collection and analysis - sharing, re-use, storage and databasing of models and data - stimulus generation - parameter search and optimization - visualization - VLSI hardware interfacing. Moreover, we seek to provide a representative overview of existing mature Python modules for neuroscience and neuroinformatics, to demonstrate a critical mass and show that Python is an appropriate choice of interpreter interface for future neuroscience software development.

Python For Data Analysis

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Author : Andrew Park
language : en
Publisher: Andrew Park
Release Date : 2021-04-22

Python For Data Analysis written by Andrew Park and has been published by Andrew Park this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-22 with categories.

★ 55% OFF for Bookstores! NOW at $41,97 instead of $51,97!Do you want to learn more about Data Analysis and how to master it with Python?Your Customers Will Love This Amazing Guide! Everyone talks about data today. You have probably come across the term "data" more times than you can remember in one day. Data as a concept is so wide. One thing that is true about data is that it can be used to tell a story. The story could be anything from explaining an event to predicting the future. Data is the future. Businesses, governments, organizations, criminals-everyone needs data for some reason. Entities are investing in different data approaches to help them understand their current situation, and use it to prepare for the unknown. The world of technology as we know it is evolving towards an open-source platform where people share ideas freely. This is seen as the first step towards the decentralization of ideas and eliminating unnecessary monopolies. Therefore, the data, tools, and techniques used in the analysis are easily available for anyone to interpret data sets and get relevant explanations. With Python for Data Analysis you will learn about the main steps that are needed to correctly implement Data Analysis and the procedures to help you extract the right insights from the right data. Some of the topics that we will discuss inside include: What Data Analysis is all about and why businesses are investing in this sector The 5 steps of a Data Analysis Pandas, Jupyter and PyTorch The 7 Python libraries that make Python one of the best choices for Data Analysis Neural Network How Data Visualization and Matplotlib can help you to understand the data you are working with. Some of the main industries that are using data to improve their business with 14 real-world applications And Much More! While most books focus on how to implement advanced predictive models, this book takes the time to explain the basic concepts and all the necessary steps to correctly implement Data Analysis, including Data Visualization and providing practical examples and simple coding scripts. Don't miss the opportunity to learn more about these topics. Even if you never used Data Analysis, learning it is easier than it looks, you just need the right guidance. This practical guide provides all the knowledge you need in a simple and practical way. Regardless of your previous experience, you will learn the steps of Data Analysis, how to implement them in Python, and the most important real-world applications. Would You Like To Know More? Buy it NOW and Let Your Customers Get Addicted to This Amazing Book!

Data Science From Scratch With Python

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Author : Peter Morgan
language : en
Publisher: Createspace Independent Publishing Platform
Release Date : 2018-08-21

Data Science From Scratch With Python written by Peter Morgan and has been published by Createspace Independent Publishing Platform this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-21 with Data mining categories.

***** BUY NOW (will soon return to 24.77 $) ***** MONEY BACK GUARANTEE BY AMAZON (See Below FAQ) *****Are you thinking of learning data science from scratch using Python? (For Beginners)If you are looking for a complete step-by-step guide to data science using Python from scratch, this book is for you. After his great success with his first book "Data Analysis from Scratch with Python," Peter Morgan publishes his second book focusing now in data science and machine learning. It is considered by practitioners as the easiest guide ever written in this domain. From AI Sciences Publisher Our books may be the best one for beginners; it's a step-by-step guide for any person who wants to start learning Artificial Intelligence and Data Science from scratch. Readers are advised to adopt a hands on approach, which would lead to better mental representations. Step by Step Guide and Visual Illustrations and ExamplesThe Book give complete instructions for manipulating, processing, cleaning, modeling and crunching datasets in Python. This is a hands-on guide with practical case studies of data analysis problems effectively. You will learn, pandas, NumPy, IPython, and Jupiter in the Process. Target Users Beginners who want to approach data science, but are too afraid of complex math to start Newbies in computer science techniques and data science Professors, lecturers or tutors who are looking to find better ways to explain the content to their students in the simplest and easiest way Students and academicians, especially those focusing on data science What's Inside This Book? Part 1: Data Science Fundamentals, Concepts and Algorithms Introduction Statistics Probability Bayes' Theorem and Naïve Bayes Algorithm Asking the Right Question Data Acquisition Data Preparation Data Exploration Data Modelling Data Presentation Supervised Learning Algorithms Unsupervised Learning Algorithms Semi-supervised Learning Algorithms Reinforcement Learning Algorithms Overfitting and Underfitting The Bias-Variance Trade-off Feature Extraction and Selection Part 2: Data Science in Practice Overview of Python Programming Language Python Data Science Tools Jupyter Notebook Numerical Python (Numpy) Pandas Scientific Python (Scipy) Matplotlib Scikit-Learn K-Nearest Neighbors Naive Bayes Simple and Multiple Linear Regression Logistic Regression GLM models Decision Trees and Random forest Perceptrons Backpropagation Clustering Natural Language Processing Frequently Asked Questions Q: Does this book include everything I need to become a data science expert?A: Unfortunately, no. This book is designed for readers taking their first steps in data science and machine learning using Python and further learning will be required beyond this book to master all aspects. Q: Can I have a refund if this book doesn't fit for me?A: Yes, Amazon refund you if you aren't satisfied, for more information about the amazon refund service please go to the amazon help platform.***** MONEY BACK GUARANTEE BY AMAZON ***** Editorial Reviews "This is a fantastic book on Python-based data science, data analysis, machine learning, Reinforcement learning and deep learning. As a data scientist with more than 10 years, Peter has had long experience in data science and give in this book the key elements.." - Lei Xia, Data Scientist Expert at Facebook

Python For Data Analysis

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Author : Dylan Penny
language : en
Publisher: Charlie Creative Lab Limited Publisher
Release Date : 2021-02-10

Python For Data Analysis written by Dylan Penny and has been published by Charlie Creative Lab Limited Publisher this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-10 with categories.

* 55% OFF for Bookstores! NOW Discounted Retail Price at $ 23.95 Instead of $ 34.95! LAST DAYS! * How many times have you thought about learning how to code but got discouraged as you didn't have any technical experience, the time to learn, or, simply, you didn't think you were intelligent enough? Then this book is perfect for your costumers will never stop to use this awesome guide! You don't need a costly computer science degree, a genius mind, and a 1000-page textbook to learn Python's basics for Data Analysis. This book, PYTHON FOR DATA ANALYSIS: A PRACTICAL GUIDE TO MANIPULATING, PROCESSING, CLEANING, AND CRUNCHING DATA SETS IN PYTHON. HOW TO EFFECTIVELY SOLVE A WIDE RANGE OF DATA ANALYSIS PROBLEMS, is a concise, step-by-step guide to Python for Data Analysis. Many books about Pythons are theoretical and have little to no practical examples. This manual offers a plethora of simple illustrations and examples to underline core concepts and enhance your understanding. Loads of practice exercises are provided to make you learn fast, remember, and build a thorough understanding of the key concepts. Are you ready to find out more? Here's a short preview of what you will learn inside this book: Why Python for data analysis? Data analysis bases Python libraries and installation Python language basics, ipython and jupyter notebooks Built-in data structures, functions, and files Introduction to modeling libraries in Python ...And so much more! This book will offer you a comprehensive explanation of Python for data analysis while not overpowering you with loads of information. Compared to other books, the examples' outputs are given, so you don't need to wait. Buy it NOW and let your customers get addicted to this amazing book!