Mastering Python Data Analysis With Pandas
DOWNLOAD
Download Mastering Python Data Analysis With Pandas PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Mastering Python Data Analysis With Pandas book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Mastering Python Data Analysis With Pandas
DOWNLOAD
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.
Python For Data Analysis
DOWNLOAD
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!
Mastering Python Data Analysis
DOWNLOAD
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.
Mastering Python For Finance
DOWNLOAD
Author : James Ma Weiming
language : en
Publisher: Packt Publishing Ltd
Release Date : 2019-04-30
Mastering Python For Finance written by James Ma Weiming 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 2019-04-30 with Computers categories.
Take your financial skills to the next level by mastering cutting-edge mathematical and statistical financial applications Key FeaturesExplore advanced financial models used by the industry and ways of solving them using PythonBuild state-of-the-art infrastructure for modeling, visualization, trading, and moreEmpower your financial applications by applying machine learning and deep learningBook Description The second edition of Mastering Python for Finance will guide you through carrying out complex financial calculations practiced in the industry of finance by using next-generation methodologies. You will master the Python ecosystem by leveraging publicly available tools to successfully perform research studies and modeling, and learn to manage risks with the help of advanced examples. You will start by setting up your Jupyter notebook to implement the tasks throughout the book. You will learn to make efficient and powerful data-driven financial decisions using popular libraries such as TensorFlow, Keras, Numpy, SciPy, and sklearn. You will also learn how to build financial applications by mastering concepts such as stocks, options, interest rates and their derivatives, and risk analytics using computational methods. With these foundations, you will learn to apply statistical analysis to time series data, and understand how time series data is useful for implementing an event-driven backtesting system and for working with high-frequency data in building an algorithmic trading platform. Finally, you will explore machine learning and deep learning techniques that are applied in finance. By the end of this book, you will be able to apply Python to different paradigms in the financial industry and perform efficient data analysis. What you will learnSolve linear and nonlinear models representing various financial problemsPerform principal component analysis on the DOW index and its componentsAnalyze, predict, and forecast stationary and non-stationary time series processesCreate an event-driven backtesting tool and measure your strategiesBuild a high-frequency algorithmic trading platform with PythonReplicate the CBOT VIX index with SPX options for studying VIX-based strategiesPerform regression-based and classification-based machine learning tasks for predictionUse TensorFlow and Keras in deep learning neural network architectureWho this book is for If you are a financial or data analyst or a software developer in the financial industry who is interested in using advanced Python techniques for quantitative methods in finance, this is the book you need! You will also find this book useful if you want to extend the functionalities of your existing financial applications by using smart machine learning techniques. Prior experience in Python is required.
Mastering Pandas In Python
DOWNLOAD
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!
Master Data Analysis With Python
DOWNLOAD
Author : Teddy Petrou
language : en
Publisher: No Starch Press
Release Date : 2024-11-12
Master Data Analysis With Python written by Teddy Petrou and has been published by No Starch Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-12 with Computers categories.
This comprehensive but easy-to-follow deep dive into data analysis and visualization in the Python programming language is packed with practical examples and exercises that use real-world datasets. This book is an in-depth guide to best practices for data analysis and visualization in Python. It focuses on various Python libraries, showing you how to optimize their performance with the most up-to-date syntax. After learning the basics of the pandas library, you’ll dive into how to use it for conducting nearly any kind of data analysis—complete with exercises in every chapter that test your newfound skills on real-world datasets, like tracking Chicago bikers. You’ll also explore the matplotlib and seaborn libraries, and try out some of the most common tasks during data analysis, including selecting subsets of the data and performing calculations on single or multiple columns. Learn to: Apply operations to independent groups within a dataset Observe data over a period of time Tidy your data and display it in a reader-friendly way Join multiple datasets to work with them at the same time Set up a robust environment on your system to do data science Master Data Analysis with Python is a masterclass in the best practices, libraries, and techniques for collecting, analyzing, and visualizing data with the world’s most popular, easy-to-learn language.
Python For Data Analysis
DOWNLOAD
Author : Brady Ellison
language : en
Publisher:
Release Date :
Python For Data Analysis written by Brady Ellison and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
Ready to learn Data Science through Python language? Python for Data Analysis is a step-by-step guide for beginners and dabblers-alike. This book is designed to offer working knowledge of Python and data science and some of the tools required to apply that knowledge. It’s possible that you have little experience with or knowledge of data analysis and are interested in it. You might have some experience in coding. You may have worked with data before and want to use Python. We have made this book in a way that will be helpful to all these groups and more besides in varying ways. This can serve as an introduction to the most current tools and functions of those tools used by data scientists. In this book You will learn: Data Science/Analysis and its applications IPython and Jupyter - an introduction to the basic tools and how to navigate and use them. You will also learn about its importance in a data scientist’s ecosystem. Pandas - a powerful data management Python library that lets you do interesting things with data. You will learn all the basics you need to get started. NumPy - a powerful numerical library for Python. You will learn more about its advantages. Get your copy now
Python Data Analytics And Visualization
DOWNLOAD
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
Mastering Python
DOWNLOAD
Author : Dr. Yudhvir Singh, Dr. Nisha
language : en
Publisher: The Readers Paradise
Release Date :
Mastering Python written by Dr. Yudhvir Singh, Dr. Nisha and has been published by The Readers Paradise this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
Even experienced Python programmers often write code that works, but isn’t as maintainable, efficient, or reusable as it could be. Mastering Python is an advanced‐level guide that helps bridge that gap. It goes beyond the basics to show how to use Python in a more “Pythonic” way, employing newer features and best practices so your code is cleaner, faster, and more robus - Writing “Pythonic” code — adopting style, idioms, and syntax that are considered best practice in modern Python development. - Functional programming features: decorators, generators, coroutines, metaclasses. - Performance optimization: efficient use of CPU and memory, profiling, concurrency (asyncio, multiprocessing) - Testing & debugging: using pytest, unittest, doctest, debugging tools like PDB etc. - Extending Python: calling C/C++ code, accessing lower‑level system features. - Scientific / Data‑Science tools: use of NumPy, SciPy, pandas, TensorFlow, etc. Barnes & Noble+2Amazon+2 - Packaging and distributing code; making sizable projects maintainable and shareable.
Mastering Python
DOWNLOAD
Author : Cybellium
language : en
Publisher: Cybellium Ltd
Release Date : 2023-09-06
Mastering Python written by Cybellium and has been published by Cybellium Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-06 with Computers categories.
Cybellium Ltd is dedicated to empowering individuals and organizations with the knowledge and skills they need to navigate the ever-evolving computer science landscape securely and learn only the latest information available on any subject in the category of computer science including: - Information Technology (IT) - Cyber Security - Information Security - Big Data - Artificial Intelligence (AI) - Engineering - Robotics - Standards and compliance Our mission is to be at the forefront of computer science education, offering a wide and comprehensive range of resources, including books, courses, classes and training programs, tailored to meet the diverse needs of any subject in computer science. Visit https://www.cybellium.com for more books.