Mastering Python Data Analysis
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Mastering Python Data Analysis With Pandas
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Author : Prabhat Ranjan
language : en
Publisher:
Release Date : 2019
Mastering Python Data Analysis With Pandas written by Prabhat Ranjan and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with categories.
Learn how to use Pandas, the Python library for data and statistical analysis About This Video Know what is needed for Mastering Python Data Analysis with Pandas Understand why is Mastering python data analysis with Pandas really useful Learn how can we Master Python Data Analysis with Pandas In Detail This course is your guide to implementing the more advanced offerings of the popular Pandas library and explains how it can solve real-world problems. After a brief overview of the basics--such as data structures and various data manipulation tasks such as grouping, merging, and reshaping data--this video also teaches you how to manipulate, analyze, and visualize your time-series financial data. You will learn how to apply Pandas to important but simple financial tasks such as modeling portfolios, calculating optimal portfolios based upon risk, and more. This video not only teaches you why Pandas is a great tool for solving real-world problems in quantitative finance, it also takes you meticulously through every step of the way, with practical, real-world examples, especially from the financial domain where Pandas is a popular choice. By the end of this video, you will be an expert in using the Pandas library for any data analysis problem, especially related to finance.
Mastering Python Data Analysis
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Author : Magnus Vilhelm Persson
language : en
Publisher: Packt Publishing
Release Date : 2016-06-27
Mastering Python Data Analysis written by Magnus Vilhelm Persson and has been published by Packt Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-06-27 with Computers categories.
Become an expert at using Python for advanced statistical analysis of data using real-world examplesAbout This Book- Clean, format, and explore data using graphical and numerical summaries- Leverage the IPython environment to efficiently analyze data with Python- Packed with easy-to-follow examples to develop advanced computational skills for the analysis of complex dataWho This Book Is ForIf you are a competent Python developer who wants to take your data analysis skills to the next level by solving complex problems, then this advanced guide is for you. Familiarity with the basics of applying Python libraries to data sets is assumed.What You Will Learn- Read, sort, and map various data into Python and Pandas- Recognise patterns so you can understand and explore data- Use statistical models to discover patterns in data- Review classical statistical inference using Python, Pandas, and SciPy- Detect similarities and differences in data with clustering- Clean your data to make it useful- Work in Jupyter Notebook to produce publication ready figures to be included in reportsIn DetailPython, a multi-paradigm programming language, has become the language of choice for data scientists for data analysis, visualization, and machine learning. Ever imagined how to become an expert at effectively approaching data analysis problems, solving them, and extracting all of the available information from your data? Well, look no further, this is the book you want!Through this comprehensive guide, you will explore data and present results and conclusions from statistical analysis in a meaningful way. You'll be able to quickly and accurately perform the hands-on sorting, reduction, and subsequent analysis, and fully appreciate how data analysis methods can support business decision-making.You'll start off by learning about the tools available for data analysis in Python and will then explore the statistical models that are used to identify patterns in data. Gradually, you'll move on to review statistical inference using Python, Pandas, and SciPy. After that, we'll focus on performing regression using computational tools and you'll get to understand the problem of identifying clusters in data in an algorithmic way. Finally, we delve into advanced techniques to quantify cause and effect using Bayesian methods and you'll discover how to use Python's tools for supervised machine learning.Style and approachThis book takes a step-by-step approach to reading, processing, and analyzing data in Python using various methods and tools. Rich in examples, each topic connects to real-world examples and retrieves data directly online where possible. With this book, you are given the knowledge and tools to explore any data on your own, encouraging a curiosity befitting all data scientists.
Python Programming
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Author : Andrew Park
language : en
Publisher:
Release Date : 2020-11-14
Python Programming written by Andrew Park and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-14 with Computers categories.
If you want to learn Python in one week (or less) and learn it well, with useful applications to Data Analysis, Machine Learning and Data Science, then keep reading. Python is one of the most beloved programming languages in any circle of programmers. Software engineers, hackers, and Data Scientists alike are in love with the versatility that Python has to offer. Besides, the Object-Oriented feature of Python coupled with its flexibility is also one of the major attractions for this language. That's the reason why Python is a perfect fit with Data Analysis, Machine Learning and Data Science. Data is the future. 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. The goal of this 4-in-1 bundle is simple: explaining everything you need to know to Master Python. With a special emphasis on the main steps that are needed to correctly implement Data Analysis and Machine Learning algorithms, In manuscript one, Python for Beginners, you will learn: How to install Python What are the different Python Data Types and Variables Basic Operators of Python Language Data Structures and Functions Conditional and Loops in Python And Much More! In manuscript two, Python Advanced Guide, you will master: Object-Oriented Programming (OOP), Inheritance and Polymorphism Essential Programming Tools Exception Handling Working with Files And Much More! In manuscript three, Python for Data Analysis, you will learn: What Data Analysis is all about and why businesses are investing in this sector The 5 steps of a Data Analysis The 7 Python libraries that make Python one of the best choices for Data Analysis Pandas, Jupyter and PyTorch And Much More! In manuscript four, Applications to Data Science, you will understand: How Data Visualization and Matplotlib can help you to understand the data you are working with. Neural Networks Decision Trees What industries are using data to improve their business with 14 real-world applications And So Much More! Where most books about Python programming are theoretical and have few or little practical examples, this book provides lots of simple, step-by-step examples and illustrations that are used to underline key concepts and help improve your understanding. Furthermore, topics are carefully selected to give you broad exposure to Python, while not overwhelming you with too much information. Also, the outputs of ALL the examples are provided immediately so you do not have to wait till you have access to your computer to test the examples. Even if you have never coded before, this is the perfect guide because it breaks down complex concepts into simple steps and in a concise and simple way that fits well with beginners. Regardless of your previous experience, you will learn the steps of Data Analysis, how to implement them, and the most important real-world applications. Would you like to know more?Scroll Up and Click the BUY NOW Button to Get Your Copy!
Mastering Python For Data Science
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Author : Samir Madhavan
language : en
Publisher: Packt Publishing Ltd
Release Date : 2015-08-31
Mastering Python For Data Science written by Samir Madhavan 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 2015-08-31 with Computers categories.
Explore the world of data science through Python and learn how to make sense of data About This Book Master data science methods using Python and its libraries Create data visualizations and mine for patterns Advanced techniques for the four fundamentals of Data Science with Python - data mining, data analysis, data visualization, and machine learning Who This Book Is For If you are a Python developer who wants to master the world of data science then this book is for you. Some knowledge of data science is assumed. What You Will Learn Manage data and perform linear algebra in Python Derive inferences from the analysis by performing inferential statistics Solve data science problems in Python Create high-end visualizations using Python Evaluate and apply the linear regression technique to estimate the relationships among variables. Build recommendation engines with the various collaborative filtering algorithms Apply the ensemble methods to improve your predictions Work with big data technologies to handle data at scale In Detail Data science is a relatively new knowledge domain which is used by various organizations to make data driven decisions. Data scientists have to wear various hats to work with data and to derive value from it. The Python programming language, beyond having conquered the scientific community in the last decade, is now an indispensable tool for the data science practitioner and a must-know tool for every aspiring data scientist. Using Python will offer you a fast, reliable, cross-platform, and mature environment for data analysis, machine learning, and algorithmic problem solving. This comprehensive guide helps you move beyond the hype and transcend the theory by providing you with a hands-on, advanced study of data science. Beginning with the essentials of Python in data science, you will learn to manage data and perform linear algebra in Python. You will move on to deriving inferences from the analysis by performing inferential statistics, and mining data to reveal hidden patterns and trends. You will use the matplot library to create high-end visualizations in Python and uncover the fundamentals of machine learning. Next, you will apply the linear regression technique and also learn to apply the logistic regression technique to your applications, before creating recommendation engines with various collaborative filtering algorithms and improving your predictions by applying the ensemble methods. Finally, you will perform K-means clustering, along with an analysis of unstructured data with different text mining techniques and leveraging the power of Python in big data analytics. Style and approach This book is an easy-to-follow, comprehensive guide on data science using Python. The topics covered in the book can all be used in real world scenarios.
Python For Data Analysis
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Author : Andrew Park
language : en
Publisher: Andrew Park
Release Date : 2021-02-13
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 2021-02-13 with categories.
★ 55% OFF for Bookstores! NOW at $33,97 instead of $43,97!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!
Python Data Science For Beginners 2021
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Author : Steven Williams
language : en
Publisher:
Release Date : 2020-11-27
Python Data Science For Beginners 2021 written by Steven Williams and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-27 with Computers categories.
If you want to learn more about Data Science or how to master it with the Python Programming Language Step-by-Step, then keep reading. Data Science is one of the biggest buzzwords in the business world nowadays. Many businesses know the importance of collecting information, but as they can collect so much data in a short period, the real question is: "what is the next step?" Data Science includes all the different steps that you take with the data: collecting and cleaning them if they come from more than one source, analyzing them, applying Machine Learning algorithms and models, and then presenting your findings from the analysis with some good Data Visualizations. You will learn about the main steps that are needed to correctly implement Data Science techniques and the algorithms to help you sort through the data and see some amazing results. Some of the topics that we will discuss inside include -A thorough and simple explanation of data science and the way it works -Basics of data science and fundamental skills you need to get started -A blueprint for the most used frameworks for Python data science -How to process and understand the data and design your own projects -What data science is all about and why so many companies are using it to give them a competitive edge. -Why Python and how to use it to implement Data Science -What is the intersection between Machine Learning and Data Science and how to combine them -Functions and Modules in Python -Data Aggregation and Group Operations -Interaction with databases and data in the cloud -And Much More! Even if you have never implemented Data Science techniques, learning them is easier than it looks. You just need the right guidance. And Python Data Science provides all the knowledge you need in a simple and practical way. Regardless of your previous experience, you will learn, the techniques to manipulate and process datasets, the principles of Python programming, and its most important real-world applications. Would You Like To Know More? Scroll up and click on the BUY NOW button to get your copy now!
Python Programming
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Author : Andrew Park
language : en
Publisher:
Release Date : 2021-07-04
Python Programming written by Andrew Park and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-04 with categories.
Curious To Know More About Python Programming And Would Like To Go Proficient? Then Learn From The Best Tips and Tricks Laid Down In This Powerful Bundle! Python is the programming language leading the forefront of open-source platforms and providing incredible breakthroughs in multiple industries. Jump on the trend and increase your skills and salary by learning how to use Python. "Python Programming" consists of six incredibly important books to help you master Python through practical examples, exercises, Data Analysis, Machine Learning and Data Science. By learning this essential programming language, you will open tons of doors for both your personal and professional life. 2nd Edition Updated and Expanded with 2 More Manuscripts! This 6-in-1 bundle is perfect for everyone who wants to break into programming as a beginner. In Book 1, Python for Beginners, you will master the basics (first things first): What is Python Python Installation Variables and Data Types Basic Operators Data Structures And Much More! In Book 2, Python for Intermediates, you will learn: Conditional or Decision Statements Lists and Modules Functions in Python Working with Files And Much More! In Book 3, Python Advanced Guide, you will be ready to go through more advanced concepts: Loops in Python Object Oriented Programming (OOP) Exception Handling Essential Programming Tools Practical Codes and Exercises to Use Python And Much More! In Book 4, Python for Data Analysis, you will learn: What is Data Analysis and Why Python is the best programming language for it The 5 steps of Data Analysis that almost nobody implements correctly What are the best Python Libraries, including The PyTorch Library Everything about Pandas How to use Matplotlib for Data Visualization And Much More! In Book 5, Python Machine Learning, you will learn: What is Machine Learning, Concepts & Terms What are the 7 Python Libraries for Machine Learning Machine Learning Training Model Linear Regression and Neural Network with Python And Much More! And finally, in Book 6, Python Data Science, you will learn: Mathematical models and why Python is the best choice to implement them Data Science Algorithms (Logistic Regression, Decision Trees) Data Mining Techniques Real-Worlds Applications Data in the Cloud And So Much More! Programming might require a different approach and logical thinking according to each situation, but... Once you learn the basics, everything else will start slowly falling into its place. And With The Help Of This Essential Guide, Python Coding Will Turn Into A Child's Play For You! Ready For Your Next Project...? ...Then Order Your Copy of the Bundle and Start Learning Python Today!
Python Data Analytics And Visualization
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Author : Phuong Vo.T.H
language : en
Publisher: Packt Publishing Ltd
Release Date : 2017-03-31
Python Data Analytics And Visualization written by Phuong Vo.T.H 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 2017-03-31 with Computers categories.
Understand, evaluate, and visualize data About This Book Learn basic steps of data analysis and how to use Python and its packages A step-by-step guide to predictive modeling including tips, tricks, and best practices Effectively visualize a broad set of analyzed data and generate effective results Who This Book Is For This book is for Python Developers who are keen to get into data analysis and wish to visualize their analyzed data in a more efficient and insightful manner. What You Will Learn Get acquainted with NumPy and use arrays and array-oriented computing in data analysis Process and analyze data using the time-series capabilities of Pandas Understand the statistical and mathematical concepts behind predictive analytics algorithms Data visualization with Matplotlib Interactive plotting with NumPy, Scipy, and MKL functions Build financial models using Monte-Carlo simulations Create directed graphs and multi-graphs Advanced visualization with D3 In Detail You will start the course with an introduction to the principles of data analysis and supported libraries, along with NumPy basics for statistics and data processing. Next, you will overview the Pandas package and use its powerful features to solve data-processing problems. Moving on, you will get a brief overview of the Matplotlib API .Next, you will learn to manipulate time and data structures, and load and store data in a file or database using Python packages. You will learn how to apply powerful packages in Python to process raw data into pure and helpful data using examples. You will also get a brief overview of machine learning algorithms, that is, applying data analysis results to make decisions or building helpful products such as recommendations and predictions using Scikit-learn. After this, you will move on to a data analytics specialization—predictive analytics. Social media and IOT have resulted in an avalanche of data. You will get started with predictive analytics using Python. You will see how to create predictive models from data. You will get balanced information on statistical and mathematical concepts, and implement them in Python using libraries such as Pandas, scikit-learn, and NumPy. You'll learn more about the best predictive modeling algorithms such as Linear Regression, Decision Tree, and Logistic Regression. Finally, you will master best practices in predictive modeling. After this, you will get all the practical guidance you need to help you on the journey to effective data visualization. Starting with a chapter on data frameworks, which explains the transformation of data into information and eventually knowledge, this path subsequently cover the complete visualization process using the most popular Python libraries with working examples This Learning Path combines some of the best that Packt has to offer in one complete, curated package. It includes content from the following Packt products: Getting Started with Python Data Analysis, Phuong Vo.T.H &Martin Czygan Learning Predictive Analytics with Python, Ashish Kumar Mastering Python Data Visualization, Kirthi Raman Style and approach The course acts as a step-by-step guide to get you familiar with data analysis and the libraries supported by Python with the help of real-world examples and datasets. It also helps you gain practical insights into predictive modeling by implementing predictive-analytics algorithms on public datasets with Python. The course offers a wealth of practical guidance to help you on this journey to data visualization
Python Programming
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Author : Andrew Park
language : en
Publisher:
Release Date : 2021-02-15
Python Programming written by Andrew Park and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-15 with categories.
Are you ready to learn the fundamentals of the most powerful and popular programming language in the world in just one week or less? Python is the programming language leading the forefront of open-source platforms and providing incredible breakthroughs in multiple industries. Jump on the trend and increase your skills and salary by learning how to use Python. "Python Programming" consists of five incredibly important books to help you master Python through practical examples, Data Analysis, Machine Learning and Data Science. By learning this essential programming language, you will open tons of doors for both your personal and professional life. With these books in your hands, you will: Learn the basics of Python from scratch - perfect for beginners who need a simple and quick introduction to the language Build upon the basics with advanced techniques and practices such as Object-Oriented Programming, Inheritance, and Polymorphism Master Python in just a few weeks through practical examples and applications and simple explanations Discover the concepts and theory of Python to solidify your understanding of the language and build a strong foundation Increase your salary at work or start freelancing with this new in-demand skill you've mastered And Much More! In this bundle, you will receive five essential books for mastering the Python language Python for Beginners, Python Advanced Guide, Python for Data Analysis, Python Machine Learning and Python Data Science. If you're looking to improve your programming skills or break into programming as a beginner, these books are extremely valuable and helpful to get you started. What are you waiting for? Order Your Copy of the Bundle and Start Mastering Python Today!
Mastering Pandas In Python
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Author : Pedro Martins
language : en
Publisher: Pedro Martins
Release Date : 2024-03-17
Mastering Pandas In Python written by Pedro Martins and has been published by Pedro Martins this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-17 with Computers categories.
Book Store Description for "Mastering Pandas in Python: Course Book" Description: Dive into the world of data analysis with "Mastering Pandas in Python: Course Book," a comprehensive guide tailored for those embarking on the journey of data manipulation and analysis in Python. Authored by Pedro Martins, a renowned expert in the field, this book unfolds the powerful features of Pandas, a key Python library, in a structured and engaging manner. Key Highlights: Whether you are a beginner or an experienced data analyst, this book is structured to enhance your proficiency in Pandas. It starts with the basics, gradually progressing to more complex data manipulation techniques. The book brings learning to life with real-world projects and case studies. It's not just about understanding the functions and syntax; it's about seeing how Pandas solves actual data analysis problems. Filled with practical examples, exercises, and code snippets, this book ensures a hands-on learning experience. It's designed to provide you with the skills to confidently navigate the challenges of data analysis. Stay up-to-date with the latest features of Pandas and learn industry best practices for efficient and effective data analysis. For Whom: "Mastering Pandas in Python: Course Book" is perfect for beginners in Python data analysis, data scientists who wish to deepen their Pandas expertise, and professionals from various domains needing to analyze data in their roles. Embrace the power of Pandas and unlock your potential in data analysis with "Mastering Pandas in Python: Course Book." Add it to your bookshelf today and step into the realm of Python data analysis with confidence!