Python Data Science Handbook: Essential Tools for Working with Data
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A series of Deep Learning breakthroughs have boosted the whole field of machine learning over the last decade. Now that machine learning is thriving, even programmers who know close to nothing about t…
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Automate the Boring Stuff with Python: Practical Programming for Total Beginners
If you've ever spent hours renaming files or updating hundreds of spreadsheet cells, you know how tedious tasks like these can be. But what if you could have your computer do them for you?
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Fluent Python: Clear, Concise, and Effective Programming
Python's simplicity lets you become productive quickly, but this often means you aren't using everything it has to offer. With this hands-on guide, you'll learn how to write effective, idiomatic Pytho…
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R for Data Science: Import, Tidy, Transform, Visualize, and Model Data
Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make …
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Think Python
Post Press, Pub Date :2013-08-01 328 People Post Press " think like a computer scientist like Python" like a computer scientist by training readers the same way of thinking of ideas to teach the Pytho…
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The Art of Statistics: How to Learn from Data
In this "important and comprehensive" guide to statistical thinking ( New Yorker ), discover how data literacy is changing the world and gives you a better understanding of life’s biggest problems.
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Clean Code: A Handbook of Agile Software Craftsmanship
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An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)
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Head First Design Patterns
You're not alone.
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At any given moment, somewhere in the world someone struggles with the same software design problems you have. You know you don't want to reinvent the wheel (or worse, a flat tire),… -
The Elements of Statistical Learning: Data Mining, Inference, and Prediction
During the past decade there has been an explosion in computation and information technology. With it has come vast amounts of data in a variety of fields such as medicine, biology, finance, and marke…
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Naked Statistics: Stripping the Dread from the Data
Once considered tedious, the field of statistics is rapidly evolving into a discipline Hal Varian, chief economist at Google, has actually called “sexy.” From batting averages and political polls to g…
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Beyond the Basic Stuff with Python: Best Practices for Writing Clean Code
BRIDGE THE GAP BETWEEN NOVICE AND PROFESSIONAL
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You've completed a basic Python programming tutorial or finished Al Sweigart's bestseller, Automate the Boring Stuff with Python . What's the next step to… -
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Statistical methods are a key part of data science, yet few data scientists have formal statistical training. Courses and books on basic statistics rarely cover the topic from a data science perspecti…
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