Running the following command on terminal, I got it working (Considering you’re using python 3.3. Otherwise, change for the version you want):
cd /Library/Frameworks/Python.framework/Versions/3.3
cd ./lib/python3.3/lib-dynload
sudo mv readline.so readline.so.disabled
More Related Contents:
- clang error: unknown argument: ‘-mno-fused-madd’ (python package installation failure)
- “‘cc’ failed with exit status 1” error when install python library
- Can’t install PIL after Mac OS X 10.9
- pip installation /usr/local/opt/python/bin/python2.7: bad interpreter: No such file or directory
- Pycharm environment different than command line
- Discord Py on_message bot=False blocked?
- error when applying function to a series object
- Fastest way to list all primes below N
- How do I profile memory usage in Python?
- Prepend line to beginning of a file
- What does a b prefix before a python string mean?
- Python copy a list of lists [duplicate]
- How can I set up a virtual environment for Python in Visual Studio Code?
- Calculating arithmetic mean (one type of average) in Python [duplicate]
- How do I run all Python unit tests in a directory?
- Get Timezone from City in Python/Django
- Spark RDD to DataFrame python
- Find all Chinese text in a string using Python and Regex
- How to extract and download all images from a website using beautifulSoup?
- How to use re to find consecutive, repeated chars
- Fetch a Wikipedia article with Python
- django best approach for creating multiple type users
- How to get faster code than numpy.dot for matrix multiplication?
- Python pandas convert datetime to timestamp effectively through dt accessor
- Time Series Analysis – unevenly spaced measures – pandas + statsmodels
- How to re-raise an exception in nested try/except blocks?
- Is it possible to express a platform-specific dependency in setup.py without building platform-specific versions of my egg?
- Make @lru_cache ignore some of the function arguments
- How to utilize all cores with python multiprocessing
- ImportError: No module named sklearn.cross_validation