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1. jakevdp.github.io › PythonDataScienceHandbookPython Data Science Handbook | Python Data Science Handbook -...

   jakevdp.github.io › PythonDataScienceHandbook

   • Αποθηκευμένο αντίγραφο

   Understanding Data Types in Python. The Basics of NumPy Arrays. Computation on NumPy Arrays: Universal Functions. Aggregations: Min, Max, and Everything In Between. Computation on Arrays: Broadcasting. Comparisons, Masks, and Boolean Logic. Fancy Indexing.

   • Introduction to Numpy

     This chapter will cover NumPy in detail. NumPy (short for...

   • Introducing Pandas Objects

     Series as specialized dictionary¶. In this way, you can...

   • Preface

     The usefulness of Python for data science stems primarily...

   • Understanding Data Types in Python

     A single integer in Python 3.4 actually contains four...

   • Aggregation and Grouping

     An essential piece of analysis of large data is efficient...

   • The Basics of NumPy Arrays

     Note that for this to work, the size of the initial array...

   • Introducing Scikit-Learn

     Here each row of the data refers to a single observed...

   • Naive Bayes Classification

     This is an excerpt from the Python Data Science Handbook by...

2. www.python4data.science › _ › downloadsPython for Data Science

   www.python4data.science › _ › downloads

   26 Ιουλ 2023 · Download the latest PDF version of Python for Data Science to get started with performance profiling and more.

3. python.land › data-sciencePython for Data Science: A Learning Roadmap • Python Land

   python.land › data-science

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   4 Μαΐ 2023 · This article is a road map to learning Python for Data Science. It’s suitable for starting data scientists and for those already there who want to learn more about using Python for data science. We’ll fly by all the essential elements data scientists use while providing links to more thorough explanations.

4. www.datacamp.com › courses › intro-to-python-for-data-scienceIntroduction to Python Course - DataCamp

   www.datacamp.com › courses › intro-to-python-for-data-science

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   An introduction to the basic concepts of Python. Learn how to use Python interactively and by using a script. Create your first variables and acquaint yourself with Python's basic data types.

5. www.freecodecamp.org › news › python-fundamentals-for-data-sciencePython Fundamentals for Data Science - freeCodeCamp.org

   www.freecodecamp.org › news › python-fundamentals-for-data-science

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   15 Ιουλ 2020 · Let's go over each one and see what are the fundamentals you should learn. 1. Data Types and Structures. The very first step is to understand how Python interprets data. Starting with widely used data types, you should be familiar with integers (int), floats (float), strings (str), and booleans (bool). Here's what you should practice.

6. aaronyeo.org › books_ › Data_SciencePython Data Science Third Edition - aaronyeo.org

   aaronyeo.org › books_ › Data_Science

   Python Data Science Essentials Third Edition A practitioner's guide covering essential data science principles, tools, and techniques Alberto Boschetti Luca Massaron BIRMINGHAM - MUMBAI

7. www.programmer-books.com › wp-content › uploadsData Science from Scratch: First Principles with Python -...

   www.programmer-books.com › wp-content › uploads

   Python has several features that make it well suited for learning (and doing) data science: It’s free. It’s relatively simple to code in (and, in particular, to understand).