Requirement not upgraded as not directly required: prompt-toolkit!=3.0.0,!=3.0.1,=2.0.0 in /usr/local/lib/python3.6/site-packages (from ipython>=5.0.0->ipykernel) (3.0.2) Requirement not upgraded as not directly required: pexpect sys_platform != "win32" in /usr/local/lib/python3.6/site-packages (from ipython>=5.0.0->ipykernel) (4.7.0) Requirement not upgraded as not directly required: pickleshare in /usr/local/lib/python3.6/site-packages (from ipython>=5.0.0->ipykernel) (0.7.5) Requirement not upgraded as not directly required: backcall in /usr/local/lib/python3.6/site-packages (from ipython>=5.0.0->ipykernel) (0.1.0) Requirement not upgraded as not directly required: decorator in /usr/local/lib/python3.6/site-packages (from traitlets>=4.1.0->ipykernel) (4.4.1) Requirement not upgraded as not directly required: ipython-genutils in /usr/local/lib/python3.6/site-packages (from traitlets>=4.1.0->ipykernel) (0.2.0) Requirement not upgraded as not directly required: six in /usr/local/lib/python3.6/site-packages (from traitlets>=4.1.0->ipykernel) (1.11.0) Requirement not upgraded as not directly required: python-dateutil>=2.1 in /usr/local/lib/python3.6/site-packages (from jupyter-client->ipykernel) (2.8.1) Requirement not upgraded as not directly required: pyzmq>=13 in /usr/local/lib/python3.6/site-packages (from jupyter-client->ipykernel) (18.1.1) Requirement not upgraded as not directly required: jupyter-core>=4.6.0 in /usr/local/lib/python3.6/site-packages (from jupyter-client->ipykernel) (4.6.1) Requirement not upgraded as not directly required: ipython>=5.0.0 in /usr/local/lib/python3.6/site-packages (from ipykernel) (7.11.1) Requirement not upgraded as not directly required: tornado>=4.2 in /usr/local/lib/python3.6/site-packages (from ipykernel) (6.0.3) Requirement not upgraded as not directly required: appnope platform_system = "Darwin" in /usr/local/lib/python3.6/site-packages (from ipykernel) (0.1.0) Requirement not upgraded as not directly required: traitlets>=4.1.0 in /usr/local/lib/python3.6/site-packages (from ipykernel) (4.3.3) Requirement not upgraded as not directly required: jupyter-client in /usr/local/lib/python3.6/site-packages (from ipykernel) (5.3.4) Requirement already up-to-date: ipykernel in /usr/local/lib/python3.6/site-packages (5.1.3)
#Pip3 upgrade pip install#
(automl) brandomiranda~ ❯ pip3 install ipykernel -upgrade
So I attempt an installation (from this question Jupyter Notebook can't find modules for python 3.6): In summary, it seems I get into a loop where pip thinks I am using an outdated version of pip but when I try to upgrade it doesĪllow me.
#Pip3 upgrade pip update#
In the following example, we will update a specific package named lxml. By the way, both terms update and upgrade can be used for an update package but the pip command uses the install –user –upgrade parameter to update the package. Now we have learned every step before updating or upgrade a Python package with pip. Update/Upgrade Python Package To The Latest Version with Pip $ pip3 list | grep zippįrom the output we can see that the installed version of the package and most recent version provided by the Pip is listed for every package. We can also provide only some part of the package name and all matched packages will be listed below. If the package is not installed there will be no output. In the following example, we will check for different packages. We will provide the package name we want to check and list. Zipp 1.0.0 Check If Specified Python Package Is Installated with PipĪs the list parameter lists installed pip packages with their version information we can also check for the specific package by using an external command like grep.
The following output will be provided with the package names and version information. pip is used for the Python2 and pip3 is used for the Python3. Also version information about the installed packages will be provided. The pip command provides the list parameter which will list installed packages. List Installed Python Packages with Pipīefore updating any package the best practice is listing installed packages. In this tutorial, we will examine different cases for update and upgrade Python packages. One of the most popular use cases for pip command is updating existing and already installed Python packages. The pip is command is provided to search, install, update, and remove the modules provided by the Python Package Index. Python provides the Pip or Python Package Index which is used to add useful extra modules to the Python.