


How to Update OpenSSL in Python 2.7: Why Does Python Still Use the Old Version and How to Fix It?
Updating OpenSSL in Python 2.7: Understanding the Dependency and Resolution
In Python 2.7, the behavior of OpenSSL integration can be confusing, as the programming language interacts with the system's OpenSSL installation. Here's how OpenSSL works in Python 2.7 and how to resolve issues related to version updates:
Python's Reliance on OpenSSL
By default, Python 2.7 picks up OpenSSL from the system's environment. When you import the ssl module, Python checks the system's OpenSSL installation and uses its version.
OpenSSL Version Update Issue
The problem arises when you manually update OpenSSL on the system. While your terminal shows the updated version, Python continues using the older version. This is because the OpenSSL dynamic library (.dylib) used by Python still points to the old version.
Solution for macOS
- Follow the instructions provided in the link: http://rkulla.blogspot.kr/2014/03/the-path-to-homebrew.html
-
Upgrade OpenSSL using Homebrew:
brew update brew install openssl
Copy after login -
Link the new OpenSSL version:
brew link openssl --force
Copy after login -
Install Python with brewed OpenSSL:
brew install python --with-brewed-openssl
Copy after login -
Create a symbolic link to the new Python version:
sudo ln -s /usr/local/Cellar/python/2.7.8_2/bin/python /usr/local/bin/python
Copy after login
Now, Python will use the updated OpenSSL version.
Solution for Ubuntu
A definitive solution for Ubuntu 12.04 is still pending, but here are some potential steps you can try:
-
Install the latest OpenSSL version:
sudo apt-get update sudo apt-get install openssl
Copy after login -
Update the shared library:
sudo ldconfig
Copy after login -
Reinstall Python:
sudo apt-get remove python sudo apt-get install python
Copy after login -
Check the OpenSSL version:
python -c "import ssl; print ssl.OPENSSL_VERSION"
Copy after login
Hopefully, these instructions will help you update OpenSSL in Python 2.7 and resolve any version mismatch issues you encounter.
The above is the detailed content of How to Update OpenSSL in Python 2.7: Why Does Python Still Use the Old Version and How to Fix It?. For more information, please follow other related articles on the PHP Chinese website!

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

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics











Python is suitable for data science, web development and automation tasks, while C is suitable for system programming, game development and embedded systems. Python is known for its simplicity and powerful ecosystem, while C is known for its high performance and underlying control capabilities.

Python excels in gaming and GUI development. 1) Game development uses Pygame, providing drawing, audio and other functions, which are suitable for creating 2D games. 2) GUI development can choose Tkinter or PyQt. Tkinter is simple and easy to use, PyQt has rich functions and is suitable for professional development.

You can learn basic programming concepts and skills of Python within 2 hours. 1. Learn variables and data types, 2. Master control flow (conditional statements and loops), 3. Understand the definition and use of functions, 4. Quickly get started with Python programming through simple examples and code snippets.

Python is easier to learn and use, while C is more powerful but complex. 1. Python syntax is concise and suitable for beginners. Dynamic typing and automatic memory management make it easy to use, but may cause runtime errors. 2.C provides low-level control and advanced features, suitable for high-performance applications, but has a high learning threshold and requires manual memory and type safety management.

You can learn the basics of Python within two hours. 1. Learn variables and data types, 2. Master control structures such as if statements and loops, 3. Understand the definition and use of functions. These will help you start writing simple Python programs.

To maximize the efficiency of learning Python in a limited time, you can use Python's datetime, time, and schedule modules. 1. The datetime module is used to record and plan learning time. 2. The time module helps to set study and rest time. 3. The schedule module automatically arranges weekly learning tasks.

Python excels in automation, scripting, and task management. 1) Automation: File backup is realized through standard libraries such as os and shutil. 2) Script writing: Use the psutil library to monitor system resources. 3) Task management: Use the schedule library to schedule tasks. Python's ease of use and rich library support makes it the preferred tool in these areas.

Python is widely used in the fields of web development, data science, machine learning, automation and scripting. 1) In web development, Django and Flask frameworks simplify the development process. 2) In the fields of data science and machine learning, NumPy, Pandas, Scikit-learn and TensorFlow libraries provide strong support. 3) In terms of automation and scripting, Python is suitable for tasks such as automated testing and system management.
