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220922 ||| eng |
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|a 9781800202870
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|a 1800202873
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| 050 |
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4 |
|a QA76.9.D343
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| 100 |
1 |
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|a Bateman, Blaine
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| 245 |
0 |
0 |
|a The Pandas Workshop
|b a Comprehensive Guide to Using Python for Data Analysis with Real-World Case Studies
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| 260 |
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|a Birmingham
|b Packt Publishing, Limited
|c 2022
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| 300 |
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|a 744 pages
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| 505 |
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|a Table of Contents An Introduction to pandas Working with Data Structures Data I/O pandas Data Types Data Selection – DataFrames Data Selection – Series Data Exploration and Transformation Data Visualization Data Modeling – Preprocessing Data Modeling – Modeling Basics Data Modeling – Regression Modeling Using Time in pandas Exploring Time Series Applying pandas Data Processing for Case Studies
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| 653 |
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|a Data mining / fast
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| 653 |
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|a Python (Computer program language) / fast
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| 653 |
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|a Bases de données / Gestion
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| 653 |
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|a Python (Computer program language) / http://id.loc.gov/authorities/subjects/sh96008834
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| 653 |
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|a Database management / http://id.loc.gov/authorities/subjects/sh85035848
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| 653 |
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|a Data mining / http://id.loc.gov/authorities/subjects/sh97002073
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| 653 |
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|a Python (Langage de programmation)
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| 653 |
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|a Exploration de données (Informatique)
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| 653 |
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|a Database management / fast
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| 700 |
1 |
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|a Basak, Saikat
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| 700 |
1 |
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|a Joseph, Thomas V.
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| 700 |
1 |
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|a So, William
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b OREILLY
|a O'Reilly
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| 015 |
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|a GBC292977
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| 776 |
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|z 9781800208933
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| 776 |
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|z 9781800202870
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| 776 |
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|z 1800202873
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| 856 |
4 |
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|u https://learning.oreilly.com/library/view/~/9781800208933/?ar
|x Verlag
|3 Volltext
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| 082 |
0 |
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|a 658
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| 082 |
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|a 006.3/12
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| 520 |
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|a 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 analysis Who this book is for This 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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| 520 |
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|a 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.
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| 520 |
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|a Learn the fundamentals of data science with Python by analyzing real datasets and solving problems using pandas Key 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 activities Book Description The 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.
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