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

   jakevdp.github.io › PythonDataScienceHandbook

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   This website contains the full text of the Python Data Science Handbook by Jake VanderPlas; the content is available on GitHub in the form of Jupyter notebooks. The text is released under the CC-BY-NC-ND license, and code is released under the MIT license.

   • 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

     Aggregation and Grouping - Python Data Science Handbook |...

   • The Basics of NumPy Arrays

     This section will present several examples of using NumPy...

   • Introducing Scikit-Learn

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

   • Naive Bayes Classification

     Naive Bayes Classification - Python Data Science Handbook |...

2. github.com › jakevdp › PythonDataScienceHandbookGitHub - jakevdp/PythonDataScienceHandbook: Python Data Science...

   github.com › jakevdp › PythonDataScienceHandbook

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   The book introduces the core libraries essential for working with data in Python: particularly IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and related packages.

3. 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.

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

   python.land › data-science

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   4 Μαΐ 2023 · Python is the language of choice for most of the data science community. 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.

5. www.freecodecamp.org › news › python-data-science-course-matplotlib-pandas-numpyPython Data Science – A Free 12-Hour Course for Beginners. Learn...

   www.freecodecamp.org › news › python-data-science-course-matplotlib-pandas-numpy

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   5 Ιουν 2020 · This free 12-hour Python Data Science course will take you from knowing nothing about Python to being able to analyze data. You'll learn basic Python, along with powerful tools like Pandas, NumPy, and Matplotlib. This is a hands-on course and you will practice everything you learn step-by-step.

6. 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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   This is a Python course for beginners, and we designed it for people with no prior Python experience. It is even suitable if you have no coding experience at all.

7. 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 · A basic Python curriculum can be broken down into 4 essential topics that include: Data types (int, float, strings) Compound data structures (lists, tuples, and dictionaries) Conditionals, loops, and functions. Object-oriented programming and using external libraries. Let's go over each one and see what are the fundamentals you should learn. 1.