What are the best python for data analysis currently available to purchase? This article attempts to give you some answers to guide you in the process of purchasing the best python for data analysis to suit your needs. In our buying guide, we outline certain features to consider when buying python for data analysis. It is important to take time and research before you commit to purchasing.
Best python for data analysis
1. Python Data Science Handbook: Essential Tools for Working with Data
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O'Reilly MediaDescription
For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them allIPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools.
Working scientists and data crunchers familiar with reading and writing Python code will find this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models. Quite simply, this is the must-have reference for scientific computing in Python.
With this handbook, youll learn how to use:
- IPython and Jupyter: provide computational environments for data scientists using Python
- NumPy: includes the ndarray for efficient storage and manipulation of dense data arrays in Python
- Pandas: features the DataFrame for efficient storage and manipulation of labeled/columnar data in Python
- Matplotlib: includes capabilities for a flexible range of data visualizations in Python
- Scikit-Learn: for efficient and clean Python implementations of the most important and established machine learning algorithms
2. Pandas for Everyone: Python Data Analysis: Python Data Analysis (Addison-Wesley Data & Analytics Series)
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Addison-Wesley Professional3. Intro to Python for Computer Science and Data Science: Learning to Program with AI, Big Data and The Cloud
4. Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython
5. Data Science from Scratch: First Principles with Python
6. PYTHON FOR DATA SCIENCE: The Ultimate Beginners Guide to Learning Python Data Science Step by Step
7. Pandas Cookbook: Recipes for Scientific Computing, Time Series Analysis and Data Visualization using Python
8. Hands-On Data Analysis with Pandas: Efficiently perform data collection, wrangling, analysis, and visualization using Python
9. Data Science Projects with Python: A case study approach to successful data science projects using Python, pandas, and scikit-learn
10. Python for Data Analysis: A Step-By-Step Guide to Master the Basics of Data Science and Analysis in Python Using Pandas, Numpy And Ipython (Data Science Mastery Book 2)
