Mastering Pandas In Python
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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!
Mastering Pandas For Finance
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Author : Michael Heydt
language : en
Publisher: Packt Publishing Ltd
Release Date : 2015-05-25
Mastering Pandas For Finance written by Michael Heydt 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 2015-05-25 with Computers categories.
If you are interested in quantitative finance, financial modeling, and trading, or simply want to learn how Python and pandas can be applied to finance, then this book is ideal for you. Some knowledge of Python and pandas is assumed. Interest in financial concepts is helpful, but no prior knowledge is expected.
Mastering Pandas
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Author : Ashish Kumar
language : en
Publisher: Packt Publishing Ltd
Release Date : 2019-10-25
Mastering Pandas written by Ashish Kumar 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 2019-10-25 with Computers categories.
Perform advanced data manipulation tasks using pandas and become an expert data analyst. Key FeaturesManipulate and analyze your data expertly using the power of pandasWork with missing data and time series data and become a true pandas expertIncludes expert tips and techniques on making your data analysis tasks easierBook Description pandas is a popular Python library used by data scientists and analysts worldwide to manipulate and analyze their data. This book presents useful data manipulation techniques in pandas to perform complex data analysis in various domains. An update to our highly successful previous edition with new features, examples, updated code, and more, this book is an in-depth guide to get the most out of pandas for data analysis. Designed for both intermediate users as well as seasoned practitioners, you will learn advanced data manipulation techniques, such as multi-indexing, modifying data structures, and sampling your data, which allow for powerful analysis and help you gain accurate insights from it. With the help of this book, you will apply pandas to different domains, such as Bayesian statistics, predictive analytics, and time series analysis using an example-based approach. And not just that; you will also learn how to prepare powerful, interactive business reports in pandas using the Jupyter notebook. By the end of this book, you will learn how to perform efficient data analysis using pandas on complex data, and become an expert data analyst or data scientist in the process. What you will learnSpeed up your data analysis by importing data into pandasKeep relevant data points by selecting subsets of your dataCreate a high-quality dataset by cleaning data and fixing missing valuesCompute actionable analytics with grouping and aggregation in pandasMaster time series data analysis in pandasMake powerful reports in pandas using Jupyter notebooksWho this book is for This book is for data scientists, analysts and Python developers who wish to explore advanced data analysis and scientific computing techniques using pandas. Some fundamental understanding of Python programming and familiarity with the basic data analysis concepts is all you need to get started with this book.
Mastering Pandas
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Author : Femi Anthony
language : en
Publisher:
Release Date : 2015-06-22
Mastering Pandas written by Femi Anthony and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-06-22 with Computers categories.
This book is intended for Python programmers, mathematicians, and analysts who already have a basic understanding of Python and wish to learn about its data analysis capabilities in depth.
Mastering Pandas Second Edition
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Author : Ashish Kumar
language : en
Publisher:
Release Date : 2019
Mastering Pandas Second Edition written by Ashish Kumar 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.
Perform advanced data manipulation tasks using pandas and become an expert data analyst. Key Features Manipulate and analyze your data expertly using the power of pandas Work with missing data and time series data and become a true pandas expert Includes expert tips and techniques on making your data analysis tasks easier Book Description pandas is a popular Python library used by data scientists and analysts worldwide to manipulate and analyze their data. This book presents useful data manipulation techniques in pandas to perform complex data analysis in various domains. An update to our highly successful previous edition with new features, examples, updated code, and more, this book is an in-depth guide to get the most out of pandas for data analysis. Designed for both intermediate users as well as seasoned practitioners, you will learn advanced data manipulation techniques, such as multi-indexing, modifying data structures, and sampling your data, which allow for powerful analysis and help you gain accurate insights from it. With the help of this book, you will apply pandas to different domains, such as Bayesian statistics, predictive analytics, and time series analysis using an example-based approach. And not just that; you will also learn how to prepare powerful, interactive business reports in pandas using the Jupyter notebook. By the end of this book, you will learn how to perform efficient data analysis using pandas on complex data, and become an expert data analyst or data scientist in the process. What you will learn Speed up your data analysis by importing data into pandas Keep relevant data points by selecting subsets of your data Create a high-quality dataset by cleaning data and fixing missing values Compute actionable analytics with grouping and aggregation in pandas Master time series data analysis in pandas Make powerful reports in pandas using Jupyter notebooks Who this book is for This book is for data scientists, analysts and Python developers who wish to explore advanced data analysis and scientific computing techniques using pandas. Some fundamental understanding of Python programming and familiarity with the basic data analysis concepts is all you need to get started with this book.
Learning Pandas
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Author : Michael Heydt
language : en
Publisher: Packt Publishing Ltd
Release Date : 2015-04-16
Learning Pandas written by Michael Heydt 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 2015-04-16 with Computers categories.
If you are a Python programmer who wants to get started with performing data analysis using pandas and Python, this is the book for you. Some experience with statistical analysis would be helpful but is not mandatory.
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.
Learning Pandas Second Edition
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Author : Michael Heydt
language : en
Publisher:
Release Date : 2017-06-30
Learning Pandas Second Edition written by Michael Heydt and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-06-30 with Computers categories.
Get to grips with pandas--a versatile and high-performance Python library for data manipulation, analysis, and discoveryAbout This Book* Get comfortable using pandas and Python as an effective data exploration and analysis tool* Explore pandas through a framework of data analysis, with an explanation of how pandas is well suited for the various stages in a data analysis process* A comprehensive guide to pandas with many of clear and practical examples to help you get up and using pandasWho This Book Is ForThis book is ideal for data scientists, data analysts, Python programmers who want to plunge into data analysis using pandas, and anyone with a curiosity about analyzing data. Some knowledge of statistics and programming will be helpful to get the most out of this book but not strictly required. Prior exposure to pandas is also not required.What You Will Learn* Understand how data analysts and scientists think about of the processes of gathering and understanding data* Learn how pandas can be used to support the end-to-end process of data analysis* Use pandas Series and DataFrame objects to represent single and multivariate data* Slicing and dicing data with pandas, as well as combining, grouping, and aggregating data from multiple sources* How to access data from external sources such as files, databases, and web services* Represent and manipulate time-series data and the many of the intricacies involved with this type of data* How to visualize statistical information* How to use pandas to solve several common data representation and analysis problems within financeIn DetailYou will learn how to use pandas to perform data analysis in Python. You will start with an overview of data analysis and iteratively progress from modeling data, to accessing data from remote sources, performing numeric and statistical analysis, through indexing and performing aggregate analysis, and finally to visualizing statistical data and applying pandas to finance.With the knowledge you gain from this book, you will quickly learn pandas and how it can empower you in the exciting world of data manipulation, analysis and science.Style and approach* Step-by-step instruction on using pandas within an end-to-end framework of performing data analysis* Practical demonstration of using Python and pandas using interactive and incremental examples
Mastering Data Analysis With Python
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Author : Rajender Kumar
language : en
Publisher: Jamba Academy
Release Date : 2023-03-27
Mastering Data Analysis With Python written by Rajender Kumar and has been published by Jamba Academy this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-27 with Computers categories.
Are you tired of feeling like you're stuck in a dead-end job with no room for growth or advancement? Are you ready to take your career to the next level and start making real money? Look no further than "Mastering Data Analysis with Python." This comprehensive guide is designed to teach you the skills you need to become a top-paying data analyst. With a focus on the powerful Python programming language, you'll learn how to collect, clean, and analyze data like a pro. But that's not all - you'll also discover how to use this data to make informed business decisions and drive real results. Key Features: Here's just a taste of what you'll learn in this book: How to use Python's built-in libraries to manipulate and analyze data like a pro Techniques for cleaning and prepping data for analysis Advanced data visualization techniques to help you communicate your findings How to use statistical methods to draw meaningful insights from your data And much more! WHO THIS BOOK IS FOR? Data analysts and scientists who want to learn how to use Python for data analysis Programmers who want to add data analysis skills to their repertoire Anyone interested in exploring and visualizing data using Python Students and professionals looking to improve their data analysis and visualization skills Individuals interested in machine learning and artificial intelligence who need to learn data analysis fundamentals. What other people says: But don't just take our word for it. Here's what some of our readers have had to say: "I've been working as a data analyst for a few years now, but this book taught me so many new techniques that I was able to immediately apply to my job and start making more money." "I've always been interested in data analysis, but I didn't know where to start. This book is the perfect introduction to the field and has helped me land my dream job." "I was able to use the skills I learned in this book to negotiate a raise and make an additional $100,000 per year!" Outcome: Gain proficiency in NumPy, Pandas, and Matplotlib Learn to handle data effectively using Python Develop the skills to perform exploratory data analysis and data visualization Acquire the knowledge to build predictive models and perform statistical analysis Learn to handle large datasets and work with real-world data Master the skills to communicate data insights effectively Gain confidence in using Python for data analysis and visualization Table of Contents 1: Introduction to Data Analysis with Python 2: Getting Started with Python 3: Built-in Data Structures, Functions, and Files 4: Data Wrangling 5: NumPy for Data Analysis 6: Pandas for Data Analysis 7: Descriptive Statistics for Data Analysis 8: Data Exploration 9: Matplotlib for Data visualization 10: Data Visualization 11: Data Analysis in Business A. Additional Resources for Further Learning B. Insider Secrets for Success as A Data Analyst C. Glossary So, what are you waiting for? Don't let your dreams of a high-paying career in data analysis slip away. Get your hands on "Mastering Data Analysis with Python" today and start making real money.
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!