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tensorlayer successful installation

May 9th, 2017
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  1. Microsoft Windows [Version 10.0.14393]
  2. (c) 2016 Microsoft Corporation. All rights reserved.
  3.  
  4. C:\WINDOWS\system32>cd C:\Users\mona6\Downloads
  5.  
  6. C:\Users\mona6\Downloads>activate py35
  7.  
  8. (py35) C:\Users\mona6\Downloads>pip install scipy‑0.19.0‑cp35‑cp35m‑win_amd64.whl
  9. Processing c:\users\mona6\downloads\scipy-0.19.0-cp35-cp35m-win_amd64.whl
  10. Requirement already satisfied: numpy>=1.8.2 in c:\users\mona6\appdata\local\conda\conda\envs\py35\lib\site-packages (from scipy==0.19.0)
  11. Installing collected packages: scipy
  12. Successfully installed scipy-0.19.0
  13.  
  14. (py35) C:\Users\mona6\Downloads>pip install tensorlayer
  15. Collecting tensorlayer
  16. Collecting matplotlib (from tensorlayer)
  17. Using cached matplotlib-2.0.1-cp35-cp35m-win_amd64.whl
  18. Requirement already satisfied: numpy in c:\users\mona6\appdata\local\conda\conda\envs\py35\lib\site-packages (from tensorlayer)
  19. Collecting scikit-image (from tensorlayer)
  20. Requirement already satisfied: scipy in c:\users\mona6\appdata\local\conda\conda\envs\py35\lib\site-packages (from tensorlayer)
  21. Collecting python-dateutil (from matplotlib->tensorlayer)
  22. Using cached python_dateutil-2.6.0-py2.py3-none-any.whl
  23. Collecting cycler>=0.10 (from matplotlib->tensorlayer)
  24. Using cached cycler-0.10.0-py2.py3-none-any.whl
  25. Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=1.5.6 in c:\users\mona6\appdata\local\conda\conda\envs\py35\lib\site-packages (from matplotlib->tensorlayer)
  26. Requirement already satisfied: six>=1.10 in c:\users\mona6\appdata\local\conda\conda\envs\py35\lib\site-packages (from matplotlib->tensorlayer)
  27. Collecting pytz (from matplotlib->tensorlayer)
  28. Using cached pytz-2017.2-py2.py3-none-any.whl
  29. Collecting networkx>=1.8 (from scikit-image->tensorlayer)
  30. Using cached networkx-1.11-py2.py3-none-any.whl
  31. Collecting pillow>=2.1.0 (from scikit-image->tensorlayer)
  32. Using cached Pillow-4.1.1-cp35-cp35m-win_amd64.whl
  33. Collecting PyWavelets>=0.4.0 (from scikit-image->tensorlayer)
  34. Using cached PyWavelets-0.5.2-cp35-none-win_amd64.whl
  35. Collecting decorator>=3.4.0 (from networkx>=1.8->scikit-image->tensorlayer)
  36. Using cached decorator-4.0.11-py2.py3-none-any.whl
  37. Collecting olefile (from pillow>=2.1.0->scikit-image->tensorlayer)
  38. Installing collected packages: python-dateutil, cycler, pytz, matplotlib, decorator, networkx, olefile, pillow, PyWavelets, scikit-image, tensorlayer
  39. Successfully installed PyWavelets-0.5.2 cycler-0.10.0 decorator-4.0.11 matplotlib-2.0.1 networkx-1.11 olefile-0.44 pillow-4.1.1 python-dateutil-2.6.0 pytz-2017.2 scikit-image-0.13.0 tensorlayer-1.4.4
  40.  
  41. (py35) C:\Users\mona6\Downloads>
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