Item Tag: 9781098104030

PYTHON FOR DATA ANALYSIS by Wes Mckinney Paperback Self Help Business

Get the definitive handbook for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.10 and pandas 1.4, the third edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You’ll learn the latest versions of pandas, NumPy, and Jupyter in the process. Written by Wes McKinney, the creator of the Python pandas project, this book is a practical, modern introduction to data science tools in Python.

Python for Data Analysis : Wrangling with Pandas NumPy & Jupyter 3rd Edition PB

The “Python for Data Analysis: Data Wrangling with Pandas, NumPy, and Jupyter” textbook by Wes Mckinney focuses on data visualization, data processing, and data mining using Python programming. Published by O’Reilly Media, the book includes 579 pages of tutorials and examples on how to use Pandas, NumPy, and Jupyter for data analysis tasks. With a trading paperback format and publication year of 2022, this textbook is a valuable resource for those looking to enhance their skills in data analysis and manipulation within the realm of computer programming.

Python for Data Analysis 3e by Wes McKinney (Paperback Book)

Get the definitive handbook for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.10 and pandas 1.4, the third edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You’ll learn the latest versions of pandas, NumPy, and Jupyter in the process. Written by Wes McKinney, the creator of the Python pandas project, this book is a practical, modern introduction to data science tools in Python. It’s ideal for analysts new to Python and for Python programmers new to data science and scientific computing. Data files and related material are available on GitHub. Use the Jupyter notebook and IPython shell for exploratory computingLearn basic and advanced features in.

Python for Data Analysis : Data Wrangling with Pandas, NumPy, and Jupyter by Wes

“Python for Data Analysis: Data Wrangling with Pandas, NumPy, and Jupyter” by Wes McKinney is a comprehensive textbook focused on data visualization, data processing, and programming languages such as Python. Published by O’Reilly Media, this trade paperback book is 579 pages long and provides in-depth coverage of data wrangling techniques using popular tools like Pandas, NumPy, and Jupyter. With a strong emphasis on practical applications and real-world examples, this book is a valuable resource for students and professionals looking to enhance their data analysis skills.

Python for Data Analysis : Data Wrangling with Pandas, NumPy, and Jupyter by Wes

The product is a textbook titled “Python for Data Analysis: Data Wrangling with Pandas, NumPy, and Jupyter” by author Wes Mckinney. Published by O’Reilly Media, Incorporated in 2022, this trade paperback book spans 579 pages and covers subjects such as data visualization, data processing, databases/data mining, and programming languages with a focus on Python. It delves into the practical applications of these concepts using popular tools like Pandas, NumPy, and Jupyter Notebook, providing a comprehensive resource for those learning data analysis techniques in Python.

Python for Data Analysis 3e: Data Wrangling with pandas, NumPy, and Jupyter

Get the definitive handbook for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.9 and pandas 1.2, the third edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You’ll learn the latest versions of pandas, NumPy, and Jupyter in the process. It’s ideal for analysts new to Python and for Python programmers new to data science and scientific computing.

PYTHON FOR DATA ANALYSIS: DATA WRANGLING WITH PANDAS, NUMPY, AND JU… Wes Mckin

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Python for Data Analysis 3e: Data Wra…, McKinney, Wes

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