Why is 'pip install json' showing version error - python

While I wrote 'pip install json' on my command prompt, it is giving an error - ERROR: Could not find a version that satisfies the requirement json (from versions: none)
ERROR: No matching distribution found for json
What should I do

Json is a standard library in python there's no need to install it.
Just include it in your python script as the following
import json

Related

Running into an error when trying to install pandas and numpy in Pycharm on Windows

I am receiving the following error messages:
Error: Could not find a version that satisfies the requirement pandas (from versions:none)
Error: No matching distribution found for pandas
I am also receiving a warning that there was an error checking the latest version of pip.
I'm currently using pip 22.3.1.
I tried installing it manually and through Pycharm.

Json Module Cannot Be Installed with Pip

I am trying to install json using pip but it is showing an error.
pip install json
ERROR: Could not find a version that satisfies the requirement json (from versions: none)
ERROR: No matching distribution found for json
Note: you may need to restart the kernel to use updated packages.
I am using pip version 21.1.1
The json module is built into python, so there is no need to install it. Python has many built in modules, full list here: https://docs.python.org/3/py-modindex.html.

What does "from versions" mean in pip error message?

On https://pypi.org/project/tensorflow-text/2.1.1/, I copied command pip install tensorflow-text==2.1.1 and run it.
However, pip gives error
> pip install tensorflow-text==2.1.1
ERROR: Could not find a version that satisfies the requirement tensorflow-text==2.1.1 (from versions: 2.4.0rc0)
ERROR: No matching distribution found for tensorflow-text==2.1.1
Does "from versions: 2.4.0rc0" mean pip is only aware of 2.4.0rc0?
Since https://pypi.org/project/tensorflow-text/#history lists so many versions, why is my pip only aware of one particular version?
I'm using Python 3.7.9 on Windows.

How do I fix the ERROR: Could not find a version that satisfies the requirement for uncompyle6-3.7.4-py3.8?

I have downloaded the uncompyle6-3.7.4-py3.8 egg file from pypi.org website in order to decompile a .pyc file. When I am trying to install it using the pip command in command prompt pip install uncompyle6-3.7.4-py3.8, I get the following error:
ERROR: Could not find a version that satisfies the requirement uncompyle6-3.7.4-py3.8 (from versions: none)
ERROR: No matching distribution found for uncompyle6-3.7.4-py3.8
I am using the latest version of Python (3.8). I tried to download another uncompyle file for the earlier 3.7 version, but even then I get the same error. I have also upgraded pip to its latest version. On their website it is mentioned that for Python 3.7 and above, the code in decompyle3 is generally better, yet I get the same error for pycdc.
How could I fix this error? Thank you!
You can install .whl files with pip, not .egg. In order to install .egg file you need easy_install.
Try this command:
python -m easy_install https://files.pythonhosted.org/packages/ef/91/07f46d34bf8d3bf385785b98b13ebddaa414638f553d9b33c8aa320f45cd/uncompyle6-3.7.4-py3.8.egg

Not able to import 'Intertools' in python

I am not able to install 'Intertools' in python. Following are the errors
When used Pip install Method in Command Prompt:
C:\Users\avira>pip install intertools
Fatal error in launcher: Unable to create process using '"c:\users\avira\appdata\local\programs\python\python37-32\python.exe" "C:\Users\avira\AppData\Local\Programs\Python\Python37-32\Scripts\pip.exe" install intertools'
When used Pip install Method in Anaconda Prompt:
(base) C:\Users\avira>pip install intertools
Collecting intertools
Could not find a version that satisfies the requirement intertools (from versions: )
No matching distribution found for intertools
Please help me how to install 'Intertools' library in python.
"Intertools" ?
Are you sure you are not trying to use 'itertools' instead ? Which is built-in in Python. Just import it and that's it.

Categories