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Title & Speakers	Event
Pandas Cookbook - Third Edition 2024-10-31 William Ayd – author , Matthew Harrison – author Discover the power of pandas for your data analysis tasks. Pandas Cookbook provides practical, hands-on recipes for mastering pandas 2.x, guiding you through real-world scenarios quickly and effectively. What this Book will help me do Efficiently manipulate and clean data using pandas. Perform advanced grouping and aggregation operations. Handle time series data with pandas robust functions. Optimize pandas code for better performance. Integrate pandas with tools like NumPy and databases. Author(s) William Ayd and Matthew Harrison co-authored this insightful cookbook. With years of practical experience in data science and Python development, both authors aim to make data analysis accessible and efficient using pandas. Who is it for? This book is perfect for Python developers and data analysts looking to enhance their data manipulation skills. Whether you're a beginner aiming to understand pandas or a professional seeking advanced insights, this book is tailored for anyone handling structured data. data data-science data-science-tools Pandas Data Science NumPy Python	O'Reilly Data Science Books
Mastering Data Manipulation with Pandas 2023-08-15 · 18:50 dr sefer baday – Assistant Professor @ Informatics Institute of Istanbul Technical University A hands-on tutorial for the Python pandas library covering data manipulation, cleaning, integration, and wrangling of tabular data. Pandas Python jupyter notebook	Mastering Data Manipulation with Pandas
Mastering Data Manipulation with Pandas 2023-08-15 · 18:50 Please register using the zoom link to get a reminder: https://us02web.zoom.us/webinar/register/4616893679805/WN_LGk9QFbJS_qRAC5ifQNlHw This workshop will be a hands-on tutorial for the python pandas library. pandas is one of the popular tools used for manipulating, cleaning, integration and wrangling of tabular data. Data scientists spend significant amount of their time on such operations. This workshop aims to introduce how pandas can be used in data analysis by working on real datasets. The workshop will be held using Jupyter-notebook program. One easy way of installing this program is through anaconda platform. https://www.anaconda.com/products/individual Agenda: 11:45 am - 11:55 am Arrival, socializing and Opening 11:55 am - 1:00 pm Dr. Sefer Baday, "Mastering Data Manipulation with Pandas" 1:00 pm - 1:10 pm Q&A About Dr. Sefer Baday: Dr. Baday Works as an asst.prof in the Informatics Institute of Istanbul Technical University, Turkey. He has chemical engineering BS and Computational science and engineering MS degrees from Bogazici and Koc Universities in Turkey. He obtained his PhD degree from the University of Basel, Switzerland. Prior to current appointment, he had worked as a researcher in the University of Cambridge UK. His research is based on the application of molecular simulation and informatics approaches for drug discovery. He has been teaching various data related courses such as data analysis and visualization, data science etc. Please register using the zoom link to get a reminder: https://us02web.zoom.us/webinar/register/4616893679805/WN_LGk9QFbJS_qRAC5ifQNlHw	Mastering Data Manipulation with Pandas
Event O'Reilly Data Science Books 2019-10-25
Mastering pandas - Second Edition 2019-10-25 Ashish Kumar – author Mastering pandas is the ultimate guide to harnessing the power of the pandas library for data analysis. Covering everything from installation to advanced techniques, this book provides comprehensive instructions and examples to help you perform efficient data manipulation and visualization. Explore key features of pandas, such as multi-indexing and time series analysis, and become proficient in actionable analytics. What this Book will help me do Master importing and managing datasets of various formats using pandas. Expertly handle missing data and clean datasets for robust analysis. Create powerful visualizations and reports using pandas and Jupyter notebooks. Leverage advanced indexing and grouping techniques to derive insights. Utilize pandas for time series analysis to analyze trends and patterns. Author(s) None Kumar is an experienced data scientist specializing in data analysis and visualization using Python. With a deep understanding of the pandas library, None has been helping professionals and enthusiasts alike to make data-driven decisions. Known for an example-driven teaching style, None bridges complex theoretical concepts with practical applications in data science. Who is it for? If you're a data scientist, analyst, or Python developer seeking to enhance your data analysis capabilities, this book is for you. Prior knowledge of Python is beneficial but not mandatory, as foundational concepts are explained. This guide spans beginner to advanced topics, accommodating users looking to deepen their skills and those aiming to start with pandas. data data-science data-science-tools Pandas Analytics Data Science Python
Hands-On Data Analysis with Pandas 2019-07-26 Stefanie Molin – author Hands-On Data Analysis with Pandas provides an intensive dive into mastering the pandas library for data science and analysis using Python. Through a combination of conceptual explanations and practical demonstrations, readers will learn how to manipulate, visualize, and analyze data efficiently. What this Book will help me do Understand and apply the pandas library for efficient data manipulation. Learn to perform data wrangling tasks such as cleaning and reshaping datasets. Create effective visualizations using pandas and libraries like matplotlib and seaborn. Grasp the basics of machine learning and implement solutions with scikit-learn. Develop reusable data analysis scripts and modules in Python. Author(s) Stefanie Molin is a seasoned data scientist and software engineer with extensive experience in Python and data analytics. She specializes in leveraging the latest data science techniques to solve real-world problems. Her engaging and detailed writing draws from her practical expertise, aiming to make complex concepts accessible to all. Who is it for? This book is ideal for data analysts and aspiring data scientists who are at the beginning stages of their careers or looking to enhance their toolset with pandas and Python. It caters to Python developers eager to delve into data analysis workflows. Readers should have some programming knowledge to fully benefit from the examples and exercises. data data-science data-science-tools Pandas AI/ML Analytics Data Analytics Data Science Matplotlib Python Scikit-learn Seaborn
Pandas Cookbook 2017-10-23 Theodore Petrou – author , Kuntal Ganguly – author The Pandas Cookbook offers a collection of practical recipes for mastering data manipulation, analysis, and visualization tasks using pandas. Through a methodological and hands-on approach, you will learn to utilize pandas for handling real-world datasets efficiently. By the end of this book, you will be able to solve complex data science problems and create insightful visual representations in Python. What this Book will help me do Understand the core functionalities of pandas 0.20 for exploring datasets effectively. Master filtering, selecting, and transforming data for targeted analysis. Leverage pandas' features for aggregating and transforming grouped data. Restructure data for analysis and create professional visualizations using integration with Seaborn and Matplotlib. Gain expertise in handling time series data and SQL-like merging operations. Author(s) Theodore Petrou, the author of the Pandas Cookbook, is a data scientist and Python expert with extensive experience teaching and using pandas in professional settings. Known for his practical approach, he meticulously explains each recipe and includes comprehensive examples and datasets in Jupyter notebooks to enhance your learning experience. Who is it for? This book is aimed at data scientists, Python developers, and analysts seeking an in-depth, practical guide to mastering data analysis with pandas. Whether you're a beginner with some knowledge of Python or an experienced analyst looking to refine your skills, this cookbook provides valuable insights and techniques for your data-driven tasks. data data-science data-science-tools Pandas Data Science Matplotlib Python Seaborn SQL
Learning pandas - Second Edition 2017-06-30 Michael Heydt – author , Nicola Rainiero – author , Sonali Dayal – author Take your Python skills to the next level with 'Learning pandas,' your go-to guide for mastering data manipulation and analysis. This book walks you through the powerful tools offered by the pandas library, helping you unlock key insights from data efficiently. Whether you're handling time-series data or visualizing patterns, you'll gain the proficiency needed to make sense of complex datasets. What this Book will help me do Understand and effectively use pandas Series and DataFrame objects for data representation and manipulation. Master indexing, slicing, and combining data to perform detailed exploration and analysis. Learn to access and work with external data sources, including APIs, databases, and files, using pandas. Develop the skills to handle and analyze time-series data, managing its unique challenges. Create informative and professional data visualizations directly using pandas capabilities. Author(s) Michael Heydt is a respected author and educator in the field of Python and data analysis. With years of experience utilizing pandas in practical and professional environments, Michael offers a unique perspective that combines deep technical insight with approachable examples. His teaching philosophy emphasizes clarity, applicability, and engaging instruction, ensuring learners easily acquire valuable skills. Who is it for? This book is ideal for Python programmers looking to enhance their data analysis capabilities, as well as data analysts and scientists wanting to leverage pandas to improve their workflows. Readers are recommended to have some familiarity with Python, though prior experience with pandas is not required. If you have a keen interest in data exploration and quantitative techniques, this book is for you. data data-science data-science-tools Pandas API Python

Mastering Python Data Visualization 2015-10-27 Kirthi Raman – author Mastering Python Data Visualization provides thorough, hands-on guidance for creating impactful visual representations of data by leveraging Python's powerful libraries such as Matplotlib, Pandas, and Scikit-Learn. By following this book, you will gain proficiency in understanding data, performing analyses, and ultimately presenting your findings in a clear and engaging way. What this Book will help me do Effectively transform raw data into insightful visualizations using Python's rich ecosystem of libraries. Understand and apply best practices for selecting the most appropriate visualization techniques for different datasets and objectives. Master the use of Python for interactive plotting, regression analysis, clustering, and classification tasks. Develop a solid foundation in data visualization aesthetics and how to convey information clearly through visuals. Utilize Python for specialized fields such as finance, bioinformatics, and social network analysis, incorporating advanced computation techniques. Author(s) Kirthi Raman is an experienced data scientist and Python advocate with a strong background in technical computing and data visualization. He has hands-on experience in using Python's ecosystem to solve real-world data problems and a passion for sharing knowledge. Raman's writing focuses on blending practical insights with comprehensive explanations, ensuring readers not only learn the tools but also apply them effectively. Who is it for? This book is ideal for data analysts, data scientists, and researchers who want to deepen their knowledge of Python-based data visualization techniques. It requires readers to have a basic understanding of Python and data manipulation. If your goal is to create professional and informative visual narratives that are both visually appealing and data-driven, this book is for you. data data-science data-science-tasks data-visualization python-viz-tools DataViz Matplotlib Pandas Python Scikit-learn	O'Reilly Data Visualization Books
Event O'Reilly Data Science Books 2015-05-25
Mastering Pandas for Finance 2015-05-25 Michael Heydt – author "Mastering Pandas for Finance" takes a deep dive into applying Python and the pandas library to solve real-world financial data analysis problems. With a focus on financial modeling, backtesting trading strategies, and analyzing large datasets, this book equips you with the skills to leverage pandas effectively. What this Book will help me do Utilize pandas DataFrame for efficient financial data handling and manipulation. Develop robust time-series models and perform statistical analysis on financial data. Backtest algorithmic trading strategies including momentum and mean reversion. Price complex financial options and calculate Value at Risk for portfolio management. Optimize portfolio allocation and model financial performance using industry techniques. Author(s) Michael Heydt is an experienced software engineer and data scientist with a strong background in quantitative finance. He specializes in using Python for data analysis and has spent years teaching and writing about technical subjects. His detailed yet approachable writing style makes complex topics accessible to all. Who is it for? "Mastering Pandas for Finance" is perfect for finance professionals seeking to integrate Python into their workflows, data analysts exploring quantitative finance applications, and programmers aiming to specialize in financial analytics. Some baseline Python and pandas knowledge is recommended, but the book is structured to guide you effectively through advanced concepts too. data data-science data-science-tools Pandas Analytics Python
Learning Pandas 2015-04-16 Michael Heydt – author "Learning Pandas" is your comprehensive guide to mastering pandas, the powerful Python library for data manipulation and analysis. In this book, you'll explore pandas' capabilities and learn to apply them to real-world data challenges. With clear explanations and hands-on examples, you'll enhance your ability to analyze, clean, and visualize data effectively. What this Book will help me do Understand the core concepts of pandas and how it integrates with Python. Learn to efficiently manipulate and transform datasets using pandas. Gain skills in analyzing and cleaning data to prepare for insights. Explore techniques for working with time-series data and financial datasets. Discover how to create compelling visualizations with pandas to communicate findings. Author(s) Michael Heydt is an experienced Python developer and data scientist with expertise in teaching technical concepts to others. With a deep understanding of the pandas library, Michael has authored several guides on data analysis and is passionate about making complex information accessible. His practical approach ensures readers can directly apply lessons to their own projects. Who is it for? This book is ideal for Python programmers who want to harness the power of pandas for data analysis. Whether you're a beginner in data science or looking to refine your skills, you'll find clear, actionable guidance here. Basic programming knowledge is assumed, but no prior pandas experience is necessary. If you're eager to turn data into impactful insights, this book is for you. data data-science data-science-tools Pandas Data Science Python

William Ayd – author , Matthew Harrison – author

Discover the power of pandas for your data analysis tasks. Pandas Cookbook provides practical, hands-on recipes for mastering pandas 2.x, guiding you through real-world scenarios quickly and effectively. What this Book will help me do Efficiently manipulate and clean data using pandas. Perform advanced grouping and aggregation operations. Handle time series data with pandas robust functions. Optimize pandas code for better performance. Integrate pandas with tools like NumPy and databases. Author(s) William Ayd and Matthew Harrison co-authored this insightful cookbook. With years of practical experience in data science and Python development, both authors aim to make data analysis accessible and efficient using pandas. Who is it for? This book is perfect for Python developers and data analysts looking to enhance their data manipulation skills. Whether you're a beginner aiming to understand pandas or a professional seeking advanced insights, this book is tailored for anyone handling structured data.

dr sefer baday – Assistant Professor @ Informatics Institute of Istanbul Technical University

A hands-on tutorial for the Python pandas library covering data manipulation, cleaning, integration, and wrangling of tabular data.

Please register using the zoom link to get a reminder:

https://us02web.zoom.us/webinar/register/4616893679805/WN_LGk9QFbJS_qRAC5ifQNlHw

This workshop will be a hands-on tutorial for the python pandas library. pandas is one of the popular tools used for manipulating, cleaning, integration and wrangling of tabular data. Data scientists spend significant amount of their time on such operations. This workshop aims to introduce how pandas can be used in data analysis by working on real datasets.

The workshop will be held using Jupyter-notebook program. One easy way of installing this program is through anaconda platform. https://www.anaconda.com/products/individual

Agenda:

11:45 am - 11:55 am Arrival, socializing and Opening 11:55 am - 1:00 pm Dr. Sefer Baday, "Mastering Data Manipulation with Pandas" 1:00 pm - 1:10 pm Q&A

About Dr. Sefer Baday:

Dr. Baday Works as an asst.prof in the Informatics Institute of Istanbul Technical University, Turkey. He has chemical engineering BS and Computational science and engineering MS degrees from Bogazici and Koc Universities in Turkey. He obtained his PhD degree from the University of Basel, Switzerland. Prior to current appointment, he had worked as a researcher in the University of Cambridge UK. His research is based on the application of molecular simulation and informatics approaches for drug discovery. He has been teaching various data related courses such as data analysis and visualization, data science etc.

Please register using the zoom link to get a reminder:

https://us02web.zoom.us/webinar/register/4616893679805/WN_LGk9QFbJS_qRAC5ifQNlHw

Ashish Kumar – author

Mastering pandas is the ultimate guide to harnessing the power of the pandas library for data analysis. Covering everything from installation to advanced techniques, this book provides comprehensive instructions and examples to help you perform efficient data manipulation and visualization. Explore key features of pandas, such as multi-indexing and time series analysis, and become proficient in actionable analytics. What this Book will help me do Master importing and managing datasets of various formats using pandas. Expertly handle missing data and clean datasets for robust analysis. Create powerful visualizations and reports using pandas and Jupyter notebooks. Leverage advanced indexing and grouping techniques to derive insights. Utilize pandas for time series analysis to analyze trends and patterns. Author(s) None Kumar is an experienced data scientist specializing in data analysis and visualization using Python. With a deep understanding of the pandas library, None has been helping professionals and enthusiasts alike to make data-driven decisions. Known for an example-driven teaching style, None bridges complex theoretical concepts with practical applications in data science. Who is it for? If you're a data scientist, analyst, or Python developer seeking to enhance your data analysis capabilities, this book is for you. Prior knowledge of Python is beneficial but not mandatory, as foundational concepts are explained. This guide spans beginner to advanced topics, accommodating users looking to deepen their skills and those aiming to start with pandas.

Stefanie Molin – author

Hands-On Data Analysis with Pandas provides an intensive dive into mastering the pandas library for data science and analysis using Python. Through a combination of conceptual explanations and practical demonstrations, readers will learn how to manipulate, visualize, and analyze data efficiently. What this Book will help me do Understand and apply the pandas library for efficient data manipulation. Learn to perform data wrangling tasks such as cleaning and reshaping datasets. Create effective visualizations using pandas and libraries like matplotlib and seaborn. Grasp the basics of machine learning and implement solutions with scikit-learn. Develop reusable data analysis scripts and modules in Python. Author(s) Stefanie Molin is a seasoned data scientist and software engineer with extensive experience in Python and data analytics. She specializes in leveraging the latest data science techniques to solve real-world problems. Her engaging and detailed writing draws from her practical expertise, aiming to make complex concepts accessible to all. Who is it for? This book is ideal for data analysts and aspiring data scientists who are at the beginning stages of their careers or looking to enhance their toolset with pandas and Python. It caters to Python developers eager to delve into data analysis workflows. Readers should have some programming knowledge to fully benefit from the examples and exercises.

Theodore Petrou – author , Kuntal Ganguly – author

The Pandas Cookbook offers a collection of practical recipes for mastering data manipulation, analysis, and visualization tasks using pandas. Through a methodological and hands-on approach, you will learn to utilize pandas for handling real-world datasets efficiently. By the end of this book, you will be able to solve complex data science problems and create insightful visual representations in Python. What this Book will help me do Understand the core functionalities of pandas 0.20 for exploring datasets effectively. Master filtering, selecting, and transforming data for targeted analysis. Leverage pandas' features for aggregating and transforming grouped data. Restructure data for analysis and create professional visualizations using integration with Seaborn and Matplotlib. Gain expertise in handling time series data and SQL-like merging operations. Author(s) Theodore Petrou, the author of the Pandas Cookbook, is a data scientist and Python expert with extensive experience teaching and using pandas in professional settings. Known for his practical approach, he meticulously explains each recipe and includes comprehensive examples and datasets in Jupyter notebooks to enhance your learning experience. Who is it for? This book is aimed at data scientists, Python developers, and analysts seeking an in-depth, practical guide to mastering data analysis with pandas. Whether you're a beginner with some knowledge of Python or an experienced analyst looking to refine your skills, this cookbook provides valuable insights and techniques for your data-driven tasks.

Michael Heydt – author , Nicola Rainiero – author , Sonali Dayal – author

Take your Python skills to the next level with 'Learning pandas,' your go-to guide for mastering data manipulation and analysis. This book walks you through the powerful tools offered by the pandas library, helping you unlock key insights from data efficiently. Whether you're handling time-series data or visualizing patterns, you'll gain the proficiency needed to make sense of complex datasets. What this Book will help me do Understand and effectively use pandas Series and DataFrame objects for data representation and manipulation. Master indexing, slicing, and combining data to perform detailed exploration and analysis. Learn to access and work with external data sources, including APIs, databases, and files, using pandas. Develop the skills to handle and analyze time-series data, managing its unique challenges. Create informative and professional data visualizations directly using pandas capabilities. Author(s) Michael Heydt is a respected author and educator in the field of Python and data analysis. With years of experience utilizing pandas in practical and professional environments, Michael offers a unique perspective that combines deep technical insight with approachable examples. His teaching philosophy emphasizes clarity, applicability, and engaging instruction, ensuring learners easily acquire valuable skills. Who is it for? This book is ideal for Python programmers looking to enhance their data analysis capabilities, as well as data analysts and scientists wanting to leverage pandas to improve their workflows. Readers are recommended to have some familiarity with Python, though prior experience with pandas is not required. If you have a keen interest in data exploration and quantitative techniques, this book is for you.

Kirthi Raman – author

Mastering Python Data Visualization provides thorough, hands-on guidance for creating impactful visual representations of data by leveraging Python's powerful libraries such as Matplotlib, Pandas, and Scikit-Learn. By following this book, you will gain proficiency in understanding data, performing analyses, and ultimately presenting your findings in a clear and engaging way. What this Book will help me do Effectively transform raw data into insightful visualizations using Python's rich ecosystem of libraries. Understand and apply best practices for selecting the most appropriate visualization techniques for different datasets and objectives. Master the use of Python for interactive plotting, regression analysis, clustering, and classification tasks. Develop a solid foundation in data visualization aesthetics and how to convey information clearly through visuals. Utilize Python for specialized fields such as finance, bioinformatics, and social network analysis, incorporating advanced computation techniques. Author(s) Kirthi Raman is an experienced data scientist and Python advocate with a strong background in technical computing and data visualization. He has hands-on experience in using Python's ecosystem to solve real-world data problems and a passion for sharing knowledge. Raman's writing focuses on blending practical insights with comprehensive explanations, ensuring readers not only learn the tools but also apply them effectively. Who is it for? This book is ideal for data analysts, data scientists, and researchers who want to deepen their knowledge of Python-based data visualization techniques. It requires readers to have a basic understanding of Python and data manipulation. If your goal is to create professional and informative visual narratives that are both visually appealing and data-driven, this book is for you.

Michael Heydt – author

"Mastering Pandas for Finance" takes a deep dive into applying Python and the pandas library to solve real-world financial data analysis problems. With a focus on financial modeling, backtesting trading strategies, and analyzing large datasets, this book equips you with the skills to leverage pandas effectively. What this Book will help me do Utilize pandas DataFrame for efficient financial data handling and manipulation. Develop robust time-series models and perform statistical analysis on financial data. Backtest algorithmic trading strategies including momentum and mean reversion. Price complex financial options and calculate Value at Risk for portfolio management. Optimize portfolio allocation and model financial performance using industry techniques. Author(s) Michael Heydt is an experienced software engineer and data scientist with a strong background in quantitative finance. He specializes in using Python for data analysis and has spent years teaching and writing about technical subjects. His detailed yet approachable writing style makes complex topics accessible to all. Who is it for? "Mastering Pandas for Finance" is perfect for finance professionals seeking to integrate Python into their workflows, data analysts exploring quantitative finance applications, and programmers aiming to specialize in financial analytics. Some baseline Python and pandas knowledge is recommended, but the book is structured to guide you effectively through advanced concepts too.

Michael Heydt – author

"Learning Pandas" is your comprehensive guide to mastering pandas, the powerful Python library for data manipulation and analysis. In this book, you'll explore pandas' capabilities and learn to apply them to real-world data challenges. With clear explanations and hands-on examples, you'll enhance your ability to analyze, clean, and visualize data effectively. What this Book will help me do Understand the core concepts of pandas and how it integrates with Python. Learn to efficiently manipulate and transform datasets using pandas. Gain skills in analyzing and cleaning data to prepare for insights. Explore techniques for working with time-series data and financial datasets. Discover how to create compelling visualizations with pandas to communicate findings. Author(s) Michael Heydt is an experienced Python developer and data scientist with expertise in teaching technical concepts to others. With a deep understanding of the pandas library, Michael has authored several guides on data analysis and is passionate about making complex information accessible. His practical approach ensures readers can directly apply lessons to their own projects. Who is it for? This book is ideal for Python programmers who want to harness the power of pandas for data analysis. Whether you're a beginner in data science or looking to refine your skills, you'll find clear, actionable guidance here. Basic programming knowledge is assumed, but no prior pandas experience is necessary. If you're eager to turn data into impactful insights, this book is for you.

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