Learn the fundamentals of data science with Python by analyzing real datasets and solving problems using pandasKey Features• Learn how to apply data retrieval, transformation, visualization, and modeling techniques using pandas• Become highly efficient in unlocking deeper insights from your data, including databases, web data, and more• Build your experience and confidence with hands-on exercises and activitiesBook DescriptionThe Pandas Workshop will teach you how to be more productive with data and generate real business insights to inform your decision-making. You will be guided through real-world data science problems and shown how to apply key techniques in the context of realistic examples and exercises. Engaging activities will then challenge you to apply your new skills in a way that prepares you for real data science projects.You'll see how experienced data scientists tackle a wide range of problems using data analysis with pandas. Unlike other Python books, which focus on theory and spend too long on dry, technical explanations, this workshop is designed to quickly get you to write clean code and build your understanding through hands-on practice. As you work through this Python pandas book, you'll tackle various real-world scenarios, such as using an air quality dataset to understand the pattern of nitrogen dioxide emissions in a city, as well as analyzing transportation data to improve bus transportation services.By the end of this data analytics book, you'll have the knowledge, skills, and confidence you need to solve your own challenging data science problems with pandas.What you will learn• Access and load data from different sources using pandas• Work with a range of data types and structures to understand your data• Perform data transformation to prepare it for analysis• Use Matplotlib for data visualization to create a variety of plots• Create data models to find relationships and test hypotheses• Manipulate time-series data to perform date-time calculations• Optimize your code to ensure more efficient business data analysisWho this book is forThis data analysis book is for anyone with prior experience working with the Python programming language who wants to learn the fundamentals of data analysis with pandas. Previous knowledge of pandas is not necessary.

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Yes, you can access The Pandas Workshop by Blaine Bateman, Saikat Basak, Thomas V. Joseph, William So in PDF and/or ePUB format, as well as other popular books in Informatica & Programmazione in Python. We have over one million books available in our catalogue for you to explore.

Information

Publisher

Packt Publishing

Year

2022

ISBN

9781800202870

Edition

Topic

Informatica

Subtopic

Programmazione in Python

The Pandas Workshop
Contributors
Preface
Part 1 – Introduction to pandas
Chapter 1: Introduction to pandas
Chapter 2: Working with Data Structures
Chapter 3: Data I/O
Chapter 4: Pandas Data Types
Part 2 – Working with Data
Chapter 5: Data Selection – DataFrames
Chapter 6: Data Selection – Series
Chapter 7: Data Exploration and Transformation
Chapter 8: Understanding Data Visualization
Part 3 – Data Modeling
Chapter 9: Data Modeling – Preprocessing
Chapter 10: Data Modeling – Modeling Basics
Chapter 11: Data Modeling – Regression Modeling
Part 4 – Additional Use Cases for pandas
Chapter 12: Using Time in pandas
Chapter 13: Exploring Time Series
Chapter 14: Applying pandas Data Processing for Case Studies
Chapter 15: Appendix
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