Numpy

The Five Core Libraries for Python Data Analysis: Essential Tools for Data Scientists

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The Five Core Libraries for Python Data Analysis: Essential Tools for Data Scientists

In the era of data-driven decision-making, mastering efficient data analysis tools has become a core competitive advantage. Python, with its concise syntax and rich ecosystem of libraries, especially those designed for data processing, has completely revolutionized the data analysis workflow. Compared to traditional tools like SPSS and Stata, Python libraries offer significant advantages in efficiency, … Read more

Lesson 14: Data Transformation with Python

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Lesson 14: Data Transformation with Python

1. Introduction Using <span>numpy</span> and <span>pandas</span> for data transformation. 2. Vectorized Computation Assuming we have the following housing data: Read in using <span>pandas</span>: import pandas as pd df=pd.read_csv("house_price.csv") If rows or columns are not fully displayed when viewing the DataFrame, you can add the following code to resolve it: # Display all columns pd.set_option('display.max_columns', None) … Read more

Latest Linux News – June 8, 2025

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Latest Linux News - June 8, 2025

📚 Open Source Technology DailyExploring the Infinite Possibilities of Open Source2025/6/8âš¡Linux 6.16 Introduces New Helper Function to Restrict Symbols to Specific Kernel ModulesLinux 6.16 merge window is about to close, and all updates to the kernel build system “Kbuild” have been merged today, with the release of Linux 6.16-rc1 expected tomorrow. The most notable feature … Read more

Python Data Analysis: Why 90% of Programmers Overlook This Core Technique?

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Python Data Analysis: Why 90% of Programmers Overlook This Core Technique?

In the field of Python data analysis, programmers often focus on discussing Pandas for data cleaning, Matplotlib for visualization, or Scikit-learn for machine learning models. However, few realize that a hidden core technique can significantly enhance data processing efficiency, potentially determining the success or failure of a project. Today, we will unveil this “killer feature” … Read more

100 Questions on Python Data Analysis Part 2 (11-20)

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100 Questions on Python Data Analysis Part 2 (11-20)

import pandas as pd import numpy as np Date: May 8, 2025 Pandas and NumPy are the cornerstones of Python data analysis. Combined with SciPy, Seaborn, and Matplotlib, they provide a complete workflow from numerical computation to visualization. This article compiles and answers the 11th to 20th common questions, covering NumPy array operations, broadcasting, linear … Read more

Installing the MKL Library for Python

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Installing the MKL Library for Python

I tested that the MKL library’s Python version should ideally be kept at 3.9, and not greater than 3.9, such as 3.10, 3.11, 3.12, or 3.13, as they are currently not very compatible.Therefore, when configuring, it is best to use conda, and thencreate a virtual environment. conda create -n my_env python=3.9 Activate the virtual environment … Read more

Mastering NumPy: Simplifying Data Operations in Python

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Mastering NumPy: Simplifying Data Operations in Python

Among Python’s data processing libraries, NumPy is undoubtedly the most fundamental and powerful. Today, we will discuss how to use NumPy for complex data operations to help everyone better master this powerful tool. As a library that supports efficient array operations, NumPy has significant advantages when handling large-scale data and performing mathematical calculations. 1. Basic … Read more

Decoding: The Real Reason Python is Taking the Universe by Storm

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Decoding: The Real Reason Python is Taking the Universe by Storm

Author: Jeff Knupp Translation: Wu Lei, Huo Jing It is well known that Python is currently the most widely used and fastest-growing programming language. Its elegant and concise syntax, along with strong support from third-party libraries, are reasons why Python is thriving across various industries. However, you may not know that the rapid growth of … Read more

NumPy Library to Drop Support for Python 2

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NumPy Library to Drop Support for Python 2

(Click the public account above to quickly follow) NumPy is a scientific computing library for Python that provides matrix operations and is generally used alongside SciPy and matplotlib. Today, on NumPy’s GitHub homepage, it was announced that the NumPy library will drop support for Python 2 starting January 1, 2019. Excerpt from ‘Python Developers’: The … Read more

Understanding NumPy: The Core Library for Numerical Computing in Python

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Understanding NumPy: The Core Library for Numerical Computing in Python

The core functionality of NumPy (Numerical Python) is specifically designed to handle multidimensional arrays, but its capabilities extend far beyond that. As the foundational library for scientific computing in Python, it centers around N-dimensional arrays (ndarray), deriving a full range of functionalities covering mathematical operations, linear algebra, data preprocessing, and more. 1. ndarray: NumPy’s Exclusive … Read more