I want to eradicate 2.7.12 from the system and a clean installation of 2.7.10.I just found that downloading 2.7.18 from source and installing it side-by-side was a good start. This awesome blog post covered the steps. (recreated here to conform to stack overflow guidelines) wget python - Downgrade to previous Spyder version. The version that could be working is Python 2.7.13 (default, Nov 7 2017, 00:42:48) as checking on other machine working on the same project.
Bak to the filename to effectively hide them. We recommendRenaming them to add. Bat file:Remove any MKL-related files from C:\Windows\System32.
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IfYou identify software that is installing software here, please contact theCreators of that software. If it works again, you can keep things in theMoved state - Anaconda doesn't need MKL in System32, and no other software should need it either. Exe ofThe software that broke. Try moving the DLL files alongside the.
On the flip side, Anaconda could break other software if AnacondaWere earlier in the PATH order and shadowed any other executables or libraries.To make this easier, we began recommending "activation" instead of modifyingPATH. If other software hadSimilarly named executables or libraries, and came earlier on PATH, AnacondaCould break. That was ultimately fragileBecause Anaconda isn't the only software on the system. Only Python builds beyond these builds will react toEarly installers for Anaconda put these on PATH. Control of this feature is done withEnvironment variables. See the list of guilty parties below.You may try a special DLL loading mode that Anaconda builds into Python.This changes the DLL search path from System32 first to System32 as anotherEntry on PATH, allowing libraries in your conda environment to be foundBefore the libraries in System32.
For now, though, the only solutions to thisOur humble opinion is that activation is the easiest way to ensure that thingsWork. We're experimenting with approaches thatWill allow our executables to be less dependent on PATH and more self-aware ofTheir needed library load paths. Unfortunately, thisInterfered with reasoning about PATH at all when using that Python interpreter.We removed that patch in Python 3.7.0, and we regret that this has causedProblems for people who are not activating their environments and who otherwiseDo not have the proper entries on PATH. That means that Anaconda's librariesGet higher priority when you're running Anaconda but Anaconda doesn't interfereWith other software when you're not running Anaconda.Anaconda's Python interpreter included a patch for a long time that added the(install root)/Library/bin folder to that Python's PATH. Because activation runsOnly in a local terminal session (as opposed to the permanent PATH entry), it isSafe to put Anaconda's PATH entries first.
SSL certificate errors ¶ Cause ¶Installing packages may produce a "connection failed" error if you do not haveThe certificates for a secure connection to the package repository. If you use a GUIIDE and you see this error, ask the developers of your IDE to add activation forConda environments. Solution ¶Use "Anaconda Prompt" or shells opened from Anaconda Navigator.
The flag -system will instead writeTo the system configuration file for all users at/.condarc. # ssl_verify: trueRunning conda config -set ssl_verify false modifies ~/.condarc andSets the -k flag for all future conda operations performed by that user.Running conda config -help shows other configuration scope options.When using conda config, the user's conda configuration file at~/.condarc is used by default. The value for # ssl_verify can also be (1) a path to a CA bundle file, or (2) a path # to a directory containing certificates of trusted CA. Setting # ssl_verify to False disables certification verification. By default, SSL verification is enabled and conda operations # will fail if a required URL's certificate cannot be verified.
ExtIf the repository uses a self-signed certificate, use the actual path to the certificate.If the repository is signed by a private certificate authority (CA), the file needs to includeThe root certificate and any intermediate certificates. Then ssl_verify can be set to the path of thatCertificate authority (CA) bundle and package installation operations willThis error may be caused by lack of activation on Windows or expiredSsl_verify : path - to - cert / chain / filename. # ssl_verify: trueYour network administrator can give you a certificate bundle for yourNetwork's firewall. The value for # ssl_verify can also be (1) a path to a CA bundle file, or (2) a path # to a directory containing certificates of trusted CA. Setting # ssl_verify to False disables certification verification. By default, SSL verification is enabled, and conda operations # will fail if a required URL's certificate cannot be verified.
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Conda works bestWhen these environment variables are not set, as their typicalUse cases are obviated by conda environments and a common issueIs that they cause Python to pick up the wrong or brokenFor Python packages, make sure you have not set the PYTHONPATHOr PYTHONHOME variables. These environment variables cause Python to load filesFrom locations other than the standard ones. Conda creates links when youInstall files that have to be read by others on the system.To give yourself full permissions for files and directories butPrevent the group and other users from having access:Return the umask to the original setting:For Python packages, you have set the PYTHONPATH or PYTHONHOMEVariable. One place this can go awry isWith restrictive file permissions. If youHave a very restrictive umask, such as 077, you getSet a less restrictive umask before calling conda commands.Conda was intended as a user space tool, but often users need toUse it in a global environment.
As withPYTHONPATH, Python may try importing packages from thisDirectory, which can cause issues. For a full description of the locations ofSite-specific packages, see PEP 370. These are typically located in~/.local on macOS and Linux.
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