Backend DevelopmentPython TutorialHow to Install Psycopg2 on Python Using \'Pip\' When pg_config Executable is Missing?
How Can I Use "Pip" to Install Psycopg2 on Python?
Installing psycopg2 using pip on your virtualenv may involve a few steps to ensure a successful installation.
The error message you're encountering indicates that the pg_config executable is not found. This executable is essential for building psycopg2 from source.
To resolve this issue, you can follow one of the two recommended options:
Option 1:
Install the psycopg2-binary package from PyPI, which provides pre-built binary wheels for Linux and Mac OS.
pip install psycopg2-binary
Option 2:
Install the prerequisites for building psycopg2 from source:
For Debian/Ubuntu users:
| Python Version | Command | Note |
|---|---|---|
| Default Python 3 | sudo apt install libpq-dev python3-dev | |
| Python 3.x | sudo apt install libpq-dev python3.x-dev | Substitute x with the specific Python version |
| Python 2 | sudo apt install libpq-dev python-dev |
The above is the detailed content of How to Install Psycopg2 on Python Using \'Pip\' When pg_config Executable is Missing?. For more information, please follow other related articles on the PHP Chinese website!
How Do I Use Beautiful Soup to Parse HTML?Mar 10, 2025 pm 06:54 PMThis article explains how to use Beautiful Soup, a Python library, to parse HTML. It details common methods like find(), find_all(), select(), and get_text() for data extraction, handling of diverse HTML structures and errors, and alternatives (Sel
Mathematical Modules in Python: StatisticsMar 09, 2025 am 11:40 AMPython's statistics module provides powerful data statistical analysis capabilities to help us quickly understand the overall characteristics of data, such as biostatistics and business analysis. Instead of looking at data points one by one, just look at statistics such as mean or variance to discover trends and features in the original data that may be ignored, and compare large datasets more easily and effectively. This tutorial will explain how to calculate the mean and measure the degree of dispersion of the dataset. Unless otherwise stated, all functions in this module support the calculation of the mean() function instead of simply summing the average. Floating point numbers can also be used. import random import statistics from fracti
Serialization and Deserialization of Python Objects: Part 1Mar 08, 2025 am 09:39 AMSerialization and deserialization of Python objects are key aspects of any non-trivial program. If you save something to a Python file, you do object serialization and deserialization if you read the configuration file, or if you respond to an HTTP request. In a sense, serialization and deserialization are the most boring things in the world. Who cares about all these formats and protocols? You want to persist or stream some Python objects and retrieve them in full at a later time. This is a great way to see the world on a conceptual level. However, on a practical level, the serialization scheme, format or protocol you choose may determine the speed, security, freedom of maintenance status, and other aspects of the program
How to Perform Deep Learning with TensorFlow or PyTorch?Mar 10, 2025 pm 06:52 PMThis article compares TensorFlow and PyTorch for deep learning. It details the steps involved: data preparation, model building, training, evaluation, and deployment. Key differences between the frameworks, particularly regarding computational grap
What are some popular Python libraries and their uses?Mar 21, 2025 pm 06:46 PMThe article discusses popular Python libraries like NumPy, Pandas, Matplotlib, Scikit-learn, TensorFlow, Django, Flask, and Requests, detailing their uses in scientific computing, data analysis, visualization, machine learning, web development, and H
Scraping Webpages in Python With Beautiful Soup: Search and DOM ModificationMar 08, 2025 am 10:36 AMThis tutorial builds upon the previous introduction to Beautiful Soup, focusing on DOM manipulation beyond simple tree navigation. We'll explore efficient search methods and techniques for modifying HTML structure. One common DOM search method is ex
How to Create Command-Line Interfaces (CLIs) with Python?Mar 10, 2025 pm 06:48 PMThis article guides Python developers on building command-line interfaces (CLIs). It details using libraries like typer, click, and argparse, emphasizing input/output handling, and promoting user-friendly design patterns for improved CLI usability.
Explain the purpose of virtual environments in Python.Mar 19, 2025 pm 02:27 PMThe article discusses the role of virtual environments in Python, focusing on managing project dependencies and avoiding conflicts. It details their creation, activation, and benefits in improving project management and reducing dependency issues.
Hot AI Tools
Undresser.AI Undress
AI-powered app for creating realistic nude photos
AI Clothes Remover
Online AI tool for removing clothes from photos.
Undress AI Tool
Undress images for free
Clothoff.io
AI clothes remover
AI Hentai Generator
Generate AI Hentai for free.
Hot Article
Hot Tools
Safe Exam Browser
Safe Exam Browser is a secure browser environment for taking online exams securely. This software turns any computer into a secure workstation. It controls access to any utility and prevents students from using unauthorized resources.
PhpStorm Mac version
The latest (2018.2.1) professional PHP integrated development tool
SublimeText3 Chinese version
Chinese version, very easy to use
MinGW - Minimalist GNU for Windows
This project is in the process of being migrated to osdn.net/projects/mingw, you can continue to follow us there. MinGW: A native Windows port of the GNU Compiler Collection (GCC), freely distributable import libraries and header files for building native Windows applications; includes extensions to the MSVC runtime to support C99 functionality. All MinGW software can run on 64-bit Windows platforms.
Dreamweaver CS6
Visual web development tools
