Install Python (again) on Windows 11
Different options than previous installation
30 min readMay 9, 2024
It is a short tutorial to install Python and create virtual environment for studying machine learning. It is long because of the command prompt output, which are included in case they are required for observation. You should only follow steps.
Download installer
Visit download page https://www.python.org/downloads/.
Notice available releases.
Choose the latest release Python 3.12.3.
Choose recommended installer for Windows 11.
Download the installer https://www.python.org/ftp/python/3.12.3/python-3.12.3-amd64.exe.
Open Downloads folder.
The installer has been downloaded.
Perform installation
Open python-3.12.3-amd64.exe in Downloads folder.
Choose Customize installation, the second option.
Use suggested options, all are checked, and click Next.
Check only options as shown above and click Install.
Wait for the installation process.
Click Close to end installation.
View installation
Open C:\Windows folder.
Files for py launcher are pyshellext.amd64.dll, py.exe, and pyw.exe in C:\Windows folder.
Python 3.12.3 is installed in C:\Program Files\Python312 folder.
Current version is Python 3.12.3 and that is the only available version.
Notice that pip is the only installed Python package and since the option Create shortcuts for installed applications is uncheck, it must be called using python -m pip listinstead of directly pip list to show installed packages.
Virtual environment
In this case a partition is dedicated for future virtual environments, e.g. V:\.
Create a shortcut cmd for Windows Command Prompt.
Open it and begin to create a Python virtual environment.
It will create a folder name butiran on V:\ drive.
Activate the butiran virtual environment.
List available packages.
Install butiran package.
List again the packages.
Now there are two packages installed in the butiran virtual environment.
Deactivate to leave the virtual environment.
Package manager
Notice that to call pip on Windows terminal it requires, e.g.
py -m pip listto list installed packages
since pip is not recognized due to the option Create shortcuts for installed applications is uncheck during installation.
But in an virtual environment, e.g. butiran,
the pip is recognized.
Using Git Bash following are the packages installed in butiran virtual environment.
TensorFlow
I would like to learn machine learning using TensorFlow and to keep the installation packages only in a certain folder it requires virtual environment. Actually, that is the reason why this story is created.
tf venv
Let us make tf virtual environment for TensorFlow.
Then, in the tf virtual environment required packages will installed.
Install NumPy
url https://numpy.org/
NumPy brings the computational power of languages like C and Fortran to Python, a language much easier to learn and use.
(tf) V:\>pip install numpy
Collecting numpy
Downloading numpy-1.26.4-cp312-cp312-win_amd64.whl.metadata (61 kB)
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Downloading numpy-1.26.4-cp312-cp312-win_amd64.whl (15.5 MB)
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Installing collected packages: numpy
Successfully installed numpy-1.26.4
(tf) V:\>pip list
Package Version
------- -------
numpy 1.26.4
pip 24.0
(tf) V:\>Install SciPy
url https://scipy.org/
SciPy provides algorithms for optimization, integration, interpolation, eigenvalue problems, algebraic equations, differential equations, statistics and many other classes of problems.
(tf) V:\>pip install scipy
Collecting scipy
Downloading scipy-1.13.0-cp312-cp312-win_amd64.whl.metadata (60 kB)
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Requirement already satisfied: numpy<2.3,>=1.22.4 in v:\tf\lib\site-packages (from scipy) (1.26.4)
Downloading scipy-1.13.0-cp312-cp312-win_amd64.whl (45.9 MB)
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Installing collected packages: scipy
Successfully installed scipy-1.13.0
(tf) V:\>pip list
Package Version
------- -------
numpy 1.26.4
pip 24.0
scipy 1.13.0
(tf) V:\>Install SymPy
url https://www.sympy.org/en/index.html
SymPy is a Python library for symbolic mathematics. It aims to become a full-featured computer algebra system (CAS) while keeping the code as simple as possible in order to be comprehensible and easily extensible. SymPy is written entirely in Python.
(tf) V:\>pip install sympy
Collecting sympy
Using cached sympy-1.12-py3-none-any.whl.metadata (12 kB)
Collecting mpmath>=0.19 (from sympy)
Downloading mpmath-1.3.0-py3-none-any.whl.metadata (8.6 kB)
Using cached sympy-1.12-py3-none-any.whl (5.7 MB)
Downloading mpmath-1.3.0-py3-none-any.whl (536 kB)
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Installing collected packages: mpmath, sympy
Successfully installed mpmath-1.3.0 sympy-1.12
(tf) V:\>pip list
Package Version
------- -------
mpmath 1.3.0
numpy 1.26.4
pip 24.0
scipy 1.13.0
sympy 1.12
(tf) V:\>Install pandas
url https://pandas.pydata.org/
pandas is a fast, powerful, flexible and easy to use open source data analysis and manipulation tool, built on top of the Python programming language.
(tf) V:\>pip install pandas
Collecting pandas
Downloading pandas-2.2.2-cp312-cp312-win_amd64.whl.metadata (19 kB)
Requirement already satisfied: numpy>=1.26.0 in v:\tf\lib\site-packages (from pandas) (1.26.4)
Collecting python-dateutil>=2.8.2 (from pandas)
Downloading python_dateutil-2.9.0.post0-py2.py3-none-any.whl.metadata (8.4 kB)
Collecting pytz>=2020.1 (from pandas)
Downloading pytz-2024.1-py2.py3-none-any.whl.metadata (22 kB)
Collecting tzdata>=2022.7 (from pandas)
Downloading tzdata-2024.1-py2.py3-none-any.whl.metadata (1.4 kB)
Collecting six>=1.5 (from python-dateutil>=2.8.2->pandas)
Downloading six-1.16.0-py2.py3-none-any.whl.metadata (1.8 kB)
Downloading pandas-2.2.2-cp312-cp312-win_amd64.whl (11.5 MB)
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Downloading python_dateutil-2.9.0.post0-py2.py3-none-any.whl (229 kB)
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Downloading pytz-2024.1-py2.py3-none-any.whl (505 kB)
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Downloading tzdata-2024.1-py2.py3-none-any.whl (345 kB)
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Downloading six-1.16.0-py2.py3-none-any.whl (11 kB)
Installing collected packages: pytz, tzdata, six, python-dateutil, pandas
Successfully installed pandas-2.2.2 python-dateutil-2.9.0.post0 pytz-2024.1 six-1.16.0 tzdata-2024.1
(tf) V:\>pip list
Package Version
--------------- -----------
mpmath 1.3.0
numpy 1.26.4
pandas 2.2.2
pip 24.0
python-dateutil 2.9.0.post0
pytz 2024.1
scipy 1.13.0
six 1.16.0
sympy 1.12
tzdata 2024.1
(tf) V:\>Install Pillow
url https://python-pillow.org/
Pillow is the friendly PIL fork. PIL is an acronym for Python Imaging Library.
(tf) V:\>pip install pillow
Collecting pillow
Downloading pillow-10.3.0-cp312-cp312-win_amd64.whl.metadata (9.4 kB)
Downloading pillow-10.3.0-cp312-cp312-win_amd64.whl (2.5 MB)
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Installing collected packages: pillow
Successfully installed pillow-10.3.0
(tf) V:\>pip list
Package Version
--------------- -----------
mpmath 1.3.0
numpy 1.26.4
pandas 2.2.2
pillow 10.3.0
pip 24.0
python-dateutil 2.9.0.post0
pytz 2024.1
scipy 1.13.0
six 1.16.0
sympy 1.12
tzdata 2024.1
(tf) V:\>Install Matplotlib
url https://matplotlib.org/
Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python.
(tf) V:\>pip install matplotlib
Collecting matplotlib
Downloading matplotlib-3.8.4-cp312-cp312-win_amd64.whl.metadata (5.9 kB)
Collecting contourpy>=1.0.1 (from matplotlib)
Downloading contourpy-1.2.1-cp312-cp312-win_amd64.whl.metadata (5.8 kB)
Collecting cycler>=0.10 (from matplotlib)
Downloading cycler-0.12.1-py3-none-any.whl.metadata (3.8 kB)
Collecting fonttools>=4.22.0 (from matplotlib)
Downloading fonttools-4.51.0-cp312-cp312-win_amd64.whl.metadata (162 kB)
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Collecting kiwisolver>=1.3.1 (from matplotlib)
Downloading kiwisolver-1.4.5-cp312-cp312-win_amd64.whl.metadata (6.5 kB)
Requirement already satisfied: numpy>=1.21 in v:\tf\lib\site-packages (from matplotlib) (1.26.4)
Collecting packaging>=20.0 (from matplotlib)
Downloading packaging-24.0-py3-none-any.whl.metadata (3.2 kB)
Requirement already satisfied: pillow>=8 in v:\tf\lib\site-packages (from matplotlib) (10.3.0)
Collecting pyparsing>=2.3.1 (from matplotlib)
Downloading pyparsing-3.1.2-py3-none-any.whl.metadata (5.1 kB)
Requirement already satisfied: python-dateutil>=2.7 in v:\tf\lib\site-packages (from matplotlib) (2.9.0.post0)
Requirement already satisfied: six>=1.5 in v:\tf\lib\site-packages (from python-dateutil>=2.7->matplotlib) (1.16.0)
Downloading matplotlib-3.8.4-cp312-cp312-win_amd64.whl (7.7 MB)
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Downloading contourpy-1.2.1-cp312-cp312-win_amd64.whl (189 kB)
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Downloading cycler-0.12.1-py3-none-any.whl (8.3 kB)
Downloading fonttools-4.51.0-cp312-cp312-win_amd64.whl (2.2 MB)
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Downloading kiwisolver-1.4.5-cp312-cp312-win_amd64.whl (56 kB)
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Downloading packaging-24.0-py3-none-any.whl (53 kB)
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Downloading pyparsing-3.1.2-py3-none-any.whl (103 kB)
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Installing collected packages: pyparsing, packaging, kiwisolver, fonttools, cycler, contourpy, matplotlib
Successfully installed contourpy-1.2.1 cycler-0.12.1 fonttools-4.51.0 kiwisolver-1.4.5 matplotlib-3.8.4 packaging-24.0 pyparsing-3.1.2
(tf) V:\>pip list
Package Version
--------------- -----------
contourpy 1.2.1
cycler 0.12.1
fonttools 4.51.0
kiwisolver 1.4.5
matplotlib 3.8.4
mpmath 1.3.0
numpy 1.26.4
packaging 24.0
pandas 2.2.2
pillow 10.3.0
pip 24.0
pyparsing 3.1.2
python-dateutil 2.9.0.post0
pytz 2024.1
scipy 1.13.0
six 1.16.0
sympy 1.12
tzdata 2024.1
(tf) V:\>Install Seaborn
url https://seaborn.pydata.org/index.html
Seaborn is a Python data visualization library based on matplotlib. It provides a high-level interface for drawing attractive and informative statistical graphics.
(tf) V:\>pip install seaborn
Collecting seaborn
Downloading seaborn-0.13.2-py3-none-any.whl.metadata (5.4 kB)
Requirement already satisfied: numpy!=1.24.0,>=1.20 in v:\tf\lib\site-packages (from seaborn) (1.26.4)
Requirement already satisfied: pandas>=1.2 in v:\tf\lib\site-packages (from seaborn) (2.2.2)
Requirement already satisfied: matplotlib!=3.6.1,>=3.4 in v:\tf\lib\site-packages (from seaborn) (3.8.4)
Requirement already satisfied: contourpy>=1.0.1 in v:\tf\lib\site-packages (from matplotlib!=3.6.1,>=3.4->seaborn) (1.2.1)
Requirement already satisfied: cycler>=0.10 in v:\tf\lib\site-packages (from matplotlib!=3.6.1,>=3.4->seaborn) (0.12.1)
Requirement already satisfied: fonttools>=4.22.0 in v:\tf\lib\site-packages (from matplotlib!=3.6.1,>=3.4->seaborn) (4.51.0)
Requirement already satisfied: kiwisolver>=1.3.1 in v:\tf\lib\site-packages (from matplotlib!=3.6.1,>=3.4->seaborn) (1.4.5)
Requirement already satisfied: packaging>=20.0 in v:\tf\lib\site-packages (from matplotlib!=3.6.1,>=3.4->seaborn) (24.0)
Requirement already satisfied: pillow>=8 in v:\tf\lib\site-packages (from matplotlib!=3.6.1,>=3.4->seaborn) (10.3.0)
Requirement already satisfied: pyparsing>=2.3.1 in v:\tf\lib\site-packages (from matplotlib!=3.6.1,>=3.4->seaborn) (3.1.2)
Requirement already satisfied: python-dateutil>=2.7 in v:\tf\lib\site-packages (from matplotlib!=3.6.1,>=3.4->seaborn) (2.9.0.post0)
Requirement already satisfied: pytz>=2020.1 in v:\tf\lib\site-packages (from pandas>=1.2->seaborn) (2024.1)
Requirement already satisfied: tzdata>=2022.7 in v:\tf\lib\site-packages (from pandas>=1.2->seaborn) (2024.1)
Requirement already satisfied: six>=1.5 in v:\tf\lib\site-packages (from python-dateutil>=2.7->matplotlib!=3.6.1,>=3.4->seaborn) (1.16.0)
Downloading seaborn-0.13.2-py3-none-any.whl (294 kB)
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Installing collected packages: seaborn
Successfully installed seaborn-0.13.2
(tf) V:\>pip list
Package Version
--------------- -----------
contourpy 1.2.1
cycler 0.12.1
fonttools 4.51.0
kiwisolver 1.4.5
matplotlib 3.8.4
mpmath 1.3.0
numpy 1.26.4
packaging 24.0
pandas 2.2.2
pillow 10.3.0
pip 24.0
pyparsing 3.1.2
python-dateutil 2.9.0.post0
pytz 2024.1
scipy 1.13.0
seaborn 0.13.2
six 1.16.0
sympy 1.12
tzdata 2024.1
(tf) V:\>Install scikit-learn
url https://scikit-learn.org/stable/index.html
scikit-learn is a Python module for machine learning built on top of SciPy and is distributed under the 3-Clause BSD license.
(tf) V:\>pip install scikit-learn
Collecting scikit-learn
Downloading scikit_learn-1.4.2-cp312-cp312-win_amd64.whl.metadata (11 kB)
Requirement already satisfied: numpy>=1.19.5 in v:\tf\lib\site-packages (from scikit-learn) (1.26.4)
Requirement already satisfied: scipy>=1.6.0 in v:\tf\lib\site-packages (from scikit-learn) (1.13.0)
Collecting joblib>=1.2.0 (from scikit-learn)
Downloading joblib-1.4.2-py3-none-any.whl.metadata (5.4 kB)
Collecting threadpoolctl>=2.0.0 (from scikit-learn)
Downloading threadpoolctl-3.5.0-py3-none-any.whl.metadata (13 kB)
Downloading scikit_learn-1.4.2-cp312-cp312-win_amd64.whl (10.6 MB)
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Downloading threadpoolctl-3.5.0-py3-none-any.whl (18 kB)
Installing collected packages: threadpoolctl, joblib, scikit-learn
Successfully installed joblib-1.4.2 scikit-learn-1.4.2 threadpoolctl-3.5.0
(tf) V:\>pip list
Package Version
--------------- -----------
contourpy 1.2.1
cycler 0.12.1
fonttools 4.51.0
joblib 1.4.2
kiwisolver 1.4.5
matplotlib 3.8.4
mpmath 1.3.0
numpy 1.26.4
packaging 24.0
pandas 2.2.2
pillow 10.3.0
pip 24.0
pyparsing 3.1.2
python-dateutil 2.9.0.post0
pytz 2024.1
scikit-learn 1.4.2
scipy 1.13.0
seaborn 0.13.2
six 1.16.0
sympy 1.12
threadpoolctl 3.5.0
tzdata 2024.1
(tf) V:\>Install Keras
url https://keras.io/
Keras is an API designed for human beings, not machines. Keras follows best practices for reducing cognitive load: it offers consistent & simple APIs, it minimizes the number of user actions required for common use cases, and it provides clear & actionable error messages. Keras also gives the highest priority to crafting great documentation and developer guides.
(tf) V:\>pip install keras
Collecting keras
Downloading keras-3.3.3-py3-none-any.whl.metadata (5.7 kB)
Collecting absl-py (from keras)
Downloading absl_py-2.1.0-py3-none-any.whl.metadata (2.3 kB)
Requirement already satisfied: numpy in v:\tf\lib\site-packages (from keras) (1.26.4)
Collecting rich (from keras)
Downloading rich-13.7.1-py3-none-any.whl.metadata (18 kB)
Collecting namex (from keras)
Downloading namex-0.0.8-py3-none-any.whl.metadata (246 bytes)
Collecting h5py (from keras)
Downloading h5py-3.11.0-cp312-cp312-win_amd64.whl.metadata (2.5 kB)
Collecting optree (from keras)
Downloading optree-0.11.0-cp312-cp312-win_amd64.whl.metadata (46 kB)
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Collecting ml-dtypes (from keras)
Downloading ml_dtypes-0.4.0-cp312-cp312-win_amd64.whl.metadata (20 kB)
Collecting typing-extensions>=4.0.0 (from optree->keras)
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Collecting markdown-it-py>=2.2.0 (from rich->keras)
Downloading markdown_it_py-3.0.0-py3-none-any.whl.metadata (6.9 kB)
Collecting pygments<3.0.0,>=2.13.0 (from rich->keras)
Downloading pygments-2.18.0-py3-none-any.whl.metadata (2.5 kB)
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Downloading pygments-2.18.0-py3-none-any.whl (1.2 MB)
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Downloading typing_extensions-4.11.0-py3-none-any.whl (34 kB)
Downloading mdurl-0.1.2-py3-none-any.whl (10.0 kB)
Installing collected packages: namex, typing-extensions, pygments, ml-dtypes, mdurl, h5py, absl-py, optree, markdown-it-py, rich, keras
Successfully installed absl-py-2.1.0 h5py-3.11.0 keras-3.3.3 markdown-it-py-3.0.0 mdurl-0.1.2 ml-dtypes-0.4.0 namex-0.0.8 optree-0.11.0 pygments-2.18.0 rich-13.7.1 typing-extensions-4.11.0
(tf) V:\>pip list
Package Version
----------------- -----------
absl-py 2.1.0
contourpy 1.2.1
cycler 0.12.1
fonttools 4.51.0
h5py 3.11.0
joblib 1.4.2
keras 3.3.3
kiwisolver 1.4.5
markdown-it-py 3.0.0
matplotlib 3.8.4
mdurl 0.1.2
ml-dtypes 0.4.0
mpmath 1.3.0
namex 0.0.8
numpy 1.26.4
optree 0.11.0
packaging 24.0
pandas 2.2.2
pillow 10.3.0
pip 24.0
Pygments 2.18.0
pyparsing 3.1.2
python-dateutil 2.9.0.post0
pytz 2024.1
rich 13.7.1
scikit-learn 1.4.2
scipy 1.13.0
seaborn 0.13.2
six 1.16.0
sympy 1.12
threadpoolctl 3.5.0
typing_extensions 4.11.0
tzdata 2024.1
(tf) V:\>Install TensorFlow
url https://www.tensorflow.org/
TensorFlow makes it easy to create ML models that can run in any environment.
(tf) V:\>pip install tensorflow
Collecting tensorflow
Downloading tensorflow-2.16.1-cp312-cp312-win_amd64.whl.metadata (3.5 kB)
Collecting tensorflow-intel==2.16.1 (from tensorflow)
Downloading tensorflow_intel-2.16.1-cp312-cp312-win_amd64.whl.metadata (5.0 kB)
Requirement already satisfied: absl-py>=1.0.0 in v:\tf\lib\site-packages (from tensorflow-intel==2.16.1->tensorflow) (2.1.0)
Collecting astunparse>=1.6.0 (from tensorflow-intel==2.16.1->tensorflow)
Downloading astunparse-1.6.3-py2.py3-none-any.whl.metadata (4.4 kB)
Collecting flatbuffers>=23.5.26 (from tensorflow-intel==2.16.1->tensorflow)
Downloading flatbuffers-24.3.25-py2.py3-none-any.whl.metadata (850 bytes)
Collecting gast!=0.5.0,!=0.5.1,!=0.5.2,>=0.2.1 (from tensorflow-intel==2.16.1->tensorflow)
Downloading gast-0.5.4-py3-none-any.whl.metadata (1.3 kB)
Collecting google-pasta>=0.1.1 (from tensorflow-intel==2.16.1->tensorflow)
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Collecting libclang>=13.0.0 (from tensorflow-intel==2.16.1->tensorflow)
Downloading libclang-18.1.1-py2.py3-none-win_amd64.whl.metadata (5.3 kB)
Collecting ml-dtypes~=0.3.1 (from tensorflow-intel==2.16.1->tensorflow)
Downloading ml_dtypes-0.3.2-cp312-cp312-win_amd64.whl.metadata (20 kB)
Collecting opt-einsum>=2.3.2 (from tensorflow-intel==2.16.1->tensorflow)
Downloading opt_einsum-3.3.0-py3-none-any.whl.metadata (6.5 kB)
Requirement already satisfied: packaging in v:\tf\lib\site-packages (from tensorflow-intel==2.16.1->tensorflow) (24.0)
Collecting protobuf!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.20.3 (from tensorflow-intel==2.16.1->tensorflow)
Downloading protobuf-4.25.3-cp310-abi3-win_amd64.whl.metadata (541 bytes)
Collecting requests<3,>=2.21.0 (from tensorflow-intel==2.16.1->tensorflow)
Downloading requests-2.31.0-py3-none-any.whl.metadata (4.6 kB)
Collecting setuptools (from tensorflow-intel==2.16.1->tensorflow)
Downloading setuptools-69.5.1-py3-none-any.whl.metadata (6.2 kB)
Requirement already satisfied: six>=1.12.0 in v:\tf\lib\site-packages (from tensorflow-intel==2.16.1->tensorflow) (1.16.0)
Collecting termcolor>=1.1.0 (from tensorflow-intel==2.16.1->tensorflow)
Downloading termcolor-2.4.0-py3-none-any.whl.metadata (6.1 kB)
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Downloading wrapt-1.16.0-cp312-cp312-win_amd64.whl.metadata (6.8 kB)
Collecting grpcio<2.0,>=1.24.3 (from tensorflow-intel==2.16.1->tensorflow)
Downloading grpcio-1.63.0-cp312-cp312-win_amd64.whl.metadata (3.3 kB)
Collecting tensorboard<2.17,>=2.16 (from tensorflow-intel==2.16.1->tensorflow)
Downloading tensorboard-2.16.2-py3-none-any.whl.metadata (1.6 kB)
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Collecting wheel<1.0,>=0.23.0 (from astunparse>=1.6.0->tensorflow-intel==2.16.1->tensorflow)
Downloading wheel-0.43.0-py3-none-any.whl.metadata (2.2 kB)
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Collecting charset-normalizer<4,>=2 (from requests<3,>=2.21.0->tensorflow-intel==2.16.1->tensorflow)
Downloading charset_normalizer-3.3.2-cp312-cp312-win_amd64.whl.metadata (34 kB)
Collecting idna<4,>=2.5 (from requests<3,>=2.21.0->tensorflow-intel==2.16.1->tensorflow)
Downloading idna-3.7-py3-none-any.whl.metadata (9.9 kB)
Collecting urllib3<3,>=1.21.1 (from requests<3,>=2.21.0->tensorflow-intel==2.16.1->tensorflow)
Downloading urllib3-2.2.1-py3-none-any.whl.metadata (6.4 kB)
Collecting certifi>=2017.4.17 (from requests<3,>=2.21.0->tensorflow-intel==2.16.1->tensorflow)
Downloading certifi-2024.2.2-py3-none-any.whl.metadata (2.2 kB)
Collecting markdown>=2.6.8 (from tensorboard<2.17,>=2.16->tensorflow-intel==2.16.1->tensorflow)
Downloading Markdown-3.6-py3-none-any.whl.metadata (7.0 kB)
Collecting tensorboard-data-server<0.8.0,>=0.7.0 (from tensorboard<2.17,>=2.16->tensorflow-intel==2.16.1->tensorflow)
Downloading tensorboard_data_server-0.7.2-py3-none-any.whl.metadata (1.1 kB)
Collecting werkzeug>=1.0.1 (from tensorboard<2.17,>=2.16->tensorflow-intel==2.16.1->tensorflow)
Downloading werkzeug-3.0.3-py3-none-any.whl.metadata (3.7 kB)
Collecting MarkupSafe>=2.1.1 (from werkzeug>=1.0.1->tensorboard<2.17,>=2.16->tensorflow-intel==2.16.1->tensorflow)
Downloading MarkupSafe-2.1.5-cp312-cp312-win_amd64.whl.metadata (3.1 kB)
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Downloading tensorflow-2.16.1-cp312-cp312-win_amd64.whl (2.1 kB)
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Downloading Markdown-3.6-py3-none-any.whl (105 kB)
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Downloading tensorboard_data_server-0.7.2-py3-none-any.whl (2.4 kB)
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Installing collected packages: libclang, flatbuffers, wrapt, wheel, urllib3, termcolor, tensorboard-data-server, setuptools, protobuf, opt-einsum, ml-dtypes, MarkupSafe, markdown, idna, grpcio, google-pasta, gast, charset-normalizer, certifi, werkzeug, requests, astunparse, tensorboard, tensorflow-intel, tensorflow
Attempting uninstall: ml-dtypes
Found existing installation: ml-dtypes 0.4.0
Uninstalling ml-dtypes-0.4.0:
Successfully uninstalled ml-dtypes-0.4.0
Successfully installed MarkupSafe-2.1.5 astunparse-1.6.3 certifi-2024.2.2 charset-normalizer-3.3.2 flatbuffers-24.3.25 gast-0.5.4 google-pasta-0.2.0 grpcio-1.63.0 idna-3.7 libclang-18.1.1 markdown-3.6 ml-dtypes-0.3.2 opt-einsum-3.3.0 protobuf-4.25.3 requests-2.31.0 setuptools-69.5.1 tensorboard-2.16.2 tensorboard-data-server-0.7.2 tensorflow-2.16.1 tensorflow-intel-2.16.1 termcolor-2.4.0 urllib3-2.2.1 werkzeug-3.0.3 wheel-0.43.0 wrapt-1.16.0
(tf) V:\>pip list
Package Version
----------------------- -----------
absl-py 2.1.0
astunparse 1.6.3
certifi 2024.2.2
charset-normalizer 3.3.2
contourpy 1.2.1
cycler 0.12.1
flatbuffers 24.3.25
fonttools 4.51.0
gast 0.5.4
google-pasta 0.2.0
grpcio 1.63.0
h5py 3.11.0
idna 3.7
joblib 1.4.2
keras 3.3.3
kiwisolver 1.4.5
libclang 18.1.1
Markdown 3.6
markdown-it-py 3.0.0
MarkupSafe 2.1.5
matplotlib 3.8.4
mdurl 0.1.2
ml-dtypes 0.3.2
mpmath 1.3.0
namex 0.0.8
numpy 1.26.4
opt-einsum 3.3.0
optree 0.11.0
packaging 24.0
pandas 2.2.2
pillow 10.3.0
pip 24.0
protobuf 4.25.3
Pygments 2.18.0
pyparsing 3.1.2
python-dateutil 2.9.0.post0
pytz 2024.1
requests 2.31.0
rich 13.7.1
scikit-learn 1.4.2
scipy 1.13.0
seaborn 0.13.2
setuptools 69.5.1
six 1.16.0
sympy 1.12
tensorboard 2.16.2
tensorboard-data-server 0.7.2
tensorflow 2.16.1
tensorflow-intel 2.16.1
termcolor 2.4.0
threadpoolctl 3.5.0
typing_extensions 4.11.0
tzdata 2024.1
urllib3 2.2.1
Werkzeug 3.0.3
wheel 0.43.0
wrapt 1.16.0
(tf) V:\>Install Jupyter Notebook
url https://jupyter.org/
The Jupyter Notebook is the original web application for creating and sharing computational documents. It offers a simple, streamlined, document-centric experience.
(tf) V:\>pip install jupyter
Collecting jupyter
Downloading jupyter-1.0.0-py2.py3-none-any.whl.metadata (995 bytes)
Collecting notebook (from jupyter)
Downloading notebook-7.1.3-py3-none-any.whl.metadata (10 kB)
Collecting qtconsole (from jupyter)
Downloading qtconsole-5.5.2-py3-none-any.whl.metadata (5.1 kB)
Collecting jupyter-console (from jupyter)
Downloading jupyter_console-6.6.3-py3-none-any.whl.metadata (5.8 kB)
Collecting nbconvert (from jupyter)
Downloading nbconvert-7.16.4-py3-none-any.whl.metadata (8.5 kB)
Collecting ipykernel (from jupyter)
Downloading ipykernel-6.29.4-py3-none-any.whl.metadata (6.3 kB)
Collecting ipywidgets (from jupyter)
Downloading ipywidgets-8.1.2-py3-none-any.whl.metadata (2.4 kB)
Collecting comm>=0.1.1 (from ipykernel->jupyter)
Downloading comm-0.2.2-py3-none-any.whl.metadata (3.7 kB)
Collecting debugpy>=1.6.5 (from ipykernel->jupyter)
Downloading debugpy-1.8.1-cp312-cp312-win_amd64.whl.metadata (1.1 kB)
Collecting ipython>=7.23.1 (from ipykernel->jupyter)
Downloading ipython-8.24.0-py3-none-any.whl.metadata (4.9 kB)
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Installing collected packages: webencodings, wcwidth, pywin32, pure-eval, fastjsonschema, widgetsnbextension, websocket-client, webcolors, uri-template, types-python-dateutil, traitlets, tornado, tinycss2, soupsieve, sniffio, send2trash, rpds-py, rfc3986-validator, rfc3339-validator, qtpy, pyzmq, pyyaml, pywinpty, python-json-logger, pycparser, psutil, prompt-toolkit, prometheus-client, platformdirs, parso, pandocfilters, overrides, nest-asyncio, mistune, jupyterlab-widgets, jupyterlab-pygments, jsonpointer, json5, jinja2, h11, fqdn, executing, defusedxml, decorator, debugpy, colorama, bleach, babel, attrs, async-lru, asttokens, terminado, stack-data, referencing, matplotlib-inline, jupyter-core, jedi, httpcore, comm, cffi, beautifulsoup4, arrow, anyio, jupyter-server-terminals, jupyter-client, jsonschema-specifications, isoduration, ipython, httpx, argon2-cffi-bindings, jsonschema, ipywidgets, ipykernel, argon2-cffi, qtconsole, nbformat, jupyter-console, nbclient, jupyter-events, nbconvert, jupyter-server, notebook-shim, jupyterlab-server, jupyter-lsp, jupyterlab, notebook, jupyter
Successfully installed anyio-4.3.0 argon2-cffi-23.1.0 argon2-cffi-bindings-21.2.0 arrow-1.3.0 asttokens-2.4.1 async-lru-2.0.4 attrs-23.2.0 babel-2.15.0 beautifulsoup4-4.12.3 bleach-6.1.0 cffi-1.16.0 colorama-0.4.6 comm-0.2.2 debugpy-1.8.1 decorator-5.1.1 defusedxml-0.7.1 executing-2.0.1 fastjsonschema-2.19.1 fqdn-1.5.1 h11-0.14.0 httpcore-1.0.5 httpx-0.27.0 ipykernel-6.29.4 ipython-8.24.0 ipywidgets-8.1.2 isoduration-20.11.0 jedi-0.19.1 jinja2-3.1.4 json5-0.9.25 jsonpointer-2.4 jsonschema-4.22.0 jsonschema-specifications-2023.12.1 jupyter-1.0.0 jupyter-client-8.6.1 jupyter-console-6.6.3 jupyter-core-5.7.2 jupyter-events-0.10.0 jupyter-lsp-2.2.5 jupyter-server-2.14.0 jupyter-server-terminals-0.5.3 jupyterlab-4.1.8 jupyterlab-pygments-0.3.0 jupyterlab-server-2.27.1 jupyterlab-widgets-3.0.10 matplotlib-inline-0.1.7 mistune-3.0.2 nbclient-0.10.0 nbconvert-7.16.4 nbformat-5.10.4 nest-asyncio-1.6.0 notebook-7.1.3 notebook-shim-0.2.4 overrides-7.7.0 pandocfilters-1.5.1 parso-0.8.4 platformdirs-4.2.1 prometheus-client-0.20.0 prompt-toolkit-3.0.43 psutil-5.9.8 pure-eval-0.2.2 pycparser-2.22 python-json-logger-2.0.7 pywin32-306 pywinpty-2.0.13 pyyaml-6.0.1 pyzmq-26.0.3 qtconsole-5.5.2 qtpy-2.4.1 referencing-0.35.1 rfc3339-validator-0.1.4 rfc3986-validator-0.1.1 rpds-py-0.18.1 send2trash-1.8.3 sniffio-1.3.1 soupsieve-2.5 stack-data-0.6.3 terminado-0.18.1 tinycss2-1.3.0 tornado-6.4 traitlets-5.14.3 types-python-dateutil-2.9.0.20240316 uri-template-1.3.0 wcwidth-0.2.13 webcolors-1.13 webencodings-0.5.1 websocket-client-1.8.0 widgetsnbextension-4.0.10
(tf) V:\>pip list
Package Version
------------------------- --------------
absl-py 2.1.0
anyio 4.3.0
argon2-cffi 23.1.0
argon2-cffi-bindings 21.2.0
arrow 1.3.0
asttokens 2.4.1
astunparse 1.6.3
async-lru 2.0.4
attrs 23.2.0
Babel 2.15.0
beautifulsoup4 4.12.3
bleach 6.1.0
certifi 2024.2.2
cffi 1.16.0
charset-normalizer 3.3.2
colorama 0.4.6
comm 0.2.2
contourpy 1.2.1
cycler 0.12.1
debugpy 1.8.1
decorator 5.1.1
defusedxml 0.7.1
executing 2.0.1
fastjsonschema 2.19.1
flatbuffers 24.3.25
fonttools 4.51.0
fqdn 1.5.1
gast 0.5.4
google-pasta 0.2.0
grpcio 1.63.0
h11 0.14.0
h5py 3.11.0
httpcore 1.0.5
httpx 0.27.0
idna 3.7
ipykernel 6.29.4
ipython 8.24.0
ipywidgets 8.1.2
isoduration 20.11.0
jedi 0.19.1
Jinja2 3.1.4
joblib 1.4.2
json5 0.9.25
jsonpointer 2.4
jsonschema 4.22.0
jsonschema-specifications 2023.12.1
jupyter 1.0.0
jupyter_client 8.6.1
jupyter-console 6.6.3
jupyter_core 5.7.2
jupyter-events 0.10.0
jupyter-lsp 2.2.5
jupyter_server 2.14.0
jupyter_server_terminals 0.5.3
jupyterlab 4.1.8
jupyterlab_pygments 0.3.0
jupyterlab_server 2.27.1
jupyterlab_widgets 3.0.10
keras 3.3.3
kiwisolver 1.4.5
libclang 18.1.1
Markdown 3.6
markdown-it-py 3.0.0
MarkupSafe 2.1.5
matplotlib 3.8.4
matplotlib-inline 0.1.7
mdurl 0.1.2
mistune 3.0.2
ml-dtypes 0.3.2
mpmath 1.3.0
namex 0.0.8
nbclient 0.10.0
nbconvert 7.16.4
nbformat 5.10.4
nest-asyncio 1.6.0
notebook 7.1.3
notebook_shim 0.2.4
numpy 1.26.4
opt-einsum 3.3.0
optree 0.11.0
overrides 7.7.0
packaging 24.0
pandas 2.2.2
pandocfilters 1.5.1
parso 0.8.4
pillow 10.3.0
pip 24.0
platformdirs 4.2.1
prometheus_client 0.20.0
prompt-toolkit 3.0.43
protobuf 4.25.3
psutil 5.9.8
pure-eval 0.2.2
pycparser 2.22
Pygments 2.18.0
pyparsing 3.1.2
python-dateutil 2.9.0.post0
python-json-logger 2.0.7
pytz 2024.1
pywin32 306
pywinpty 2.0.13
PyYAML 6.0.1
pyzmq 26.0.3
qtconsole 5.5.2
QtPy 2.4.1
referencing 0.35.1
requests 2.31.0
rfc3339-validator 0.1.4
rfc3986-validator 0.1.1
rich 13.7.1
rpds-py 0.18.1
scikit-learn 1.4.2
scipy 1.13.0
seaborn 0.13.2
Send2Trash 1.8.3
setuptools 69.5.1
six 1.16.0
sniffio 1.3.1
soupsieve 2.5
stack-data 0.6.3
sympy 1.12
tensorboard 2.16.2
tensorboard-data-server 0.7.2
tensorflow 2.16.1
tensorflow-intel 2.16.1
termcolor 2.4.0
terminado 0.18.1
threadpoolctl 3.5.0
tinycss2 1.3.0
tornado 6.4
traitlets 5.14.3
types-python-dateutil 2.9.0.20240316
typing_extensions 4.11.0
tzdata 2024.1
uri-template 1.3.0
urllib3 2.2.1
wcwidth 0.2.13
webcolors 1.13
webencodings 0.5.1
websocket-client 1.8.0
Werkzeug 3.0.3
wheel 0.43.0
widgetsnbextension 4.0.10
wrapt 1.16.0
(tf) V:\>Install OpenCV
url https://opencv.org/
OpenCV is the world’s biggest computer vision library. It’s open source, contains over 2500 algorithms and is operated by the non-profit Open Source Vision Foundation.
(tf) V:\>pip install opencv-python
Collecting opencv-python
Downloading opencv_python-4.9.0.80-cp37-abi3-win_amd64.whl.metadata (20 kB)
Requirement already satisfied: numpy>=1.21.2 in v:\tf\lib\site-packages (from opencv-python) (1.26.4)
Downloading opencv_python-4.9.0.80-cp37-abi3-win_amd64.whl (38.6 MB)
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Installing collected packages: opencv-python
Successfully installed opencv-python-4.9.0.80
(tf) V:\>pip list
Package Version
------------------------- --------------
absl-py 2.1.0
anyio 4.3.0
argon2-cffi 23.1.0
argon2-cffi-bindings 21.2.0
arrow 1.3.0
asttokens 2.4.1
astunparse 1.6.3
async-lru 2.0.4
attrs 23.2.0
Babel 2.15.0
beautifulsoup4 4.12.3
bleach 6.1.0
certifi 2024.2.2
cffi 1.16.0
charset-normalizer 3.3.2
colorama 0.4.6
comm 0.2.2
contourpy 1.2.1
cycler 0.12.1
debugpy 1.8.1
decorator 5.1.1
defusedxml 0.7.1
executing 2.0.1
fastjsonschema 2.19.1
flatbuffers 24.3.25
fonttools 4.51.0
fqdn 1.5.1
gast 0.5.4
google-pasta 0.2.0
grpcio 1.63.0
h11 0.14.0
h5py 3.11.0
httpcore 1.0.5
httpx 0.27.0
idna 3.7
ipykernel 6.29.4
ipython 8.24.0
ipywidgets 8.1.2
isoduration 20.11.0
jedi 0.19.1
Jinja2 3.1.4
joblib 1.4.2
json5 0.9.25
jsonpointer 2.4
jsonschema 4.22.0
jsonschema-specifications 2023.12.1
jupyter 1.0.0
jupyter_client 8.6.1
jupyter-console 6.6.3
jupyter_core 5.7.2
jupyter-events 0.10.0
jupyter-lsp 2.2.5
jupyter_server 2.14.0
jupyter_server_terminals 0.5.3
jupyterlab 4.1.8
jupyterlab_pygments 0.3.0
jupyterlab_server 2.27.1
jupyterlab_widgets 3.0.10
keras 3.3.3
kiwisolver 1.4.5
libclang 18.1.1
Markdown 3.6
markdown-it-py 3.0.0
MarkupSafe 2.1.5
matplotlib 3.8.4
matplotlib-inline 0.1.7
mdurl 0.1.2
mistune 3.0.2
ml-dtypes 0.3.2
mpmath 1.3.0
namex 0.0.8
nbclient 0.10.0
nbconvert 7.16.4
nbformat 5.10.4
nest-asyncio 1.6.0
notebook 7.1.3
notebook_shim 0.2.4
numpy 1.26.4
opencv-python 4.9.0.80
opt-einsum 3.3.0
optree 0.11.0
overrides 7.7.0
packaging 24.0
pandas 2.2.2
pandocfilters 1.5.1
parso 0.8.4
pillow 10.3.0
pip 24.0
platformdirs 4.2.1
prometheus_client 0.20.0
prompt-toolkit 3.0.43
protobuf 4.25.3
psutil 5.9.8
pure-eval 0.2.2
pycparser 2.22
Pygments 2.18.0
pyparsing 3.1.2
python-dateutil 2.9.0.post0
python-json-logger 2.0.7
pytz 2024.1
pywin32 306
pywinpty 2.0.13
PyYAML 6.0.1
pyzmq 26.0.3
qtconsole 5.5.2
QtPy 2.4.1
referencing 0.35.1
requests 2.31.0
rfc3339-validator 0.1.4
rfc3986-validator 0.1.1
rich 13.7.1
rpds-py 0.18.1
scikit-learn 1.4.2
scipy 1.13.0
seaborn 0.13.2
Send2Trash 1.8.3
setuptools 69.5.1
six 1.16.0
sniffio 1.3.1
soupsieve 2.5
stack-data 0.6.3
sympy 1.12
tensorboard 2.16.2
tensorboard-data-server 0.7.2
tensorflow 2.16.1
tensorflow-intel 2.16.1
termcolor 2.4.0
terminado 0.18.1
threadpoolctl 3.5.0
tinycss2 1.3.0
tornado 6.4
traitlets 5.14.3
types-python-dateutil 2.9.0.20240316
typing_extensions 4.11.0
tzdata 2024.1
uri-template 1.3.0
urllib3 2.2.1
wcwidth 0.2.13
webcolors 1.13
webencodings 0.5.1
websocket-client 1.8.0
Werkzeug 3.0.3
wheel 0.43.0
widgetsnbextension 4.0.10
wrapt 1.16.0
(tf) V:\>Freeze packages
To save list of the installed packages
(tf) V:\>pip freeze > requirements.txt
(tf) V:\>Content of requirements.txt is as follow
absl-py==2.1.0
anyio==4.3.0
argon2-cffi==23.1.0
argon2-cffi-bindings==21.2.0
arrow==1.3.0
asttokens==2.4.1
astunparse==1.6.3
async-lru==2.0.4
attrs==23.2.0
Babel==2.15.0
beautifulsoup4==4.12.3
bleach==6.1.0
certifi==2024.2.2
cffi==1.16.0
charset-normalizer==3.3.2
colorama==0.4.6
comm==0.2.2
contourpy==1.2.1
cycler==0.12.1
debugpy==1.8.1
decorator==5.1.1
defusedxml==0.7.1
executing==2.0.1
fastjsonschema==2.19.1
flatbuffers==24.3.25
fonttools==4.51.0
fqdn==1.5.1
gast==0.5.4
google-pasta==0.2.0
grpcio==1.63.0
h11==0.14.0
h5py==3.11.0
httpcore==1.0.5
httpx==0.27.0
idna==3.7
ipykernel==6.29.4
ipython==8.24.0
ipywidgets==8.1.2
isoduration==20.11.0
jedi==0.19.1
Jinja2==3.1.4
joblib==1.4.2
json5==0.9.25
jsonpointer==2.4
jsonschema==4.22.0
jsonschema-specifications==2023.12.1
jupyter==1.0.0
jupyter-console==6.6.3
jupyter-events==0.10.0
jupyter-lsp==2.2.5
jupyter_client==8.6.1
jupyter_core==5.7.2
jupyter_server==2.14.0
jupyter_server_terminals==0.5.3
jupyterlab==4.1.8
jupyterlab_pygments==0.3.0
jupyterlab_server==2.27.1
jupyterlab_widgets==3.0.10
keras==3.3.3
kiwisolver==1.4.5
libclang==18.1.1
Markdown==3.6
markdown-it-py==3.0.0
MarkupSafe==2.1.5
matplotlib==3.8.4
matplotlib-inline==0.1.7
mdurl==0.1.2
mistune==3.0.2
ml-dtypes==0.3.2
mpmath==1.3.0
namex==0.0.8
nbclient==0.10.0
nbconvert==7.16.4
nbformat==5.10.4
nest-asyncio==1.6.0
notebook==7.1.3
notebook_shim==0.2.4
numpy==1.26.4
opencv-python==4.9.0.80
opt-einsum==3.3.0
optree==0.11.0
overrides==7.7.0
packaging==24.0
pandas==2.2.2
pandocfilters==1.5.1
parso==0.8.4
pillow==10.3.0
platformdirs==4.2.1
prometheus_client==0.20.0
prompt-toolkit==3.0.43
protobuf==4.25.3
psutil==5.9.8
pure-eval==0.2.2
pycparser==2.22
Pygments==2.18.0
pyparsing==3.1.2
python-dateutil==2.9.0.post0
python-json-logger==2.0.7
pytz==2024.1
pywin32==306
pywinpty==2.0.13
PyYAML==6.0.1
pyzmq==26.0.3
qtconsole==5.5.2
QtPy==2.4.1
referencing==0.35.1
requests==2.31.0
rfc3339-validator==0.1.4
rfc3986-validator==0.1.1
rich==13.7.1
rpds-py==0.18.1
scikit-learn==1.4.2
scipy==1.13.0
seaborn==0.13.2
Send2Trash==1.8.3
setuptools==69.5.1
six==1.16.0
sniffio==1.3.1
soupsieve==2.5
stack-data==0.6.3
sympy==1.12
tensorboard==2.16.2
tensorboard-data-server==0.7.2
tensorflow==2.16.1
tensorflow-intel==2.16.1
termcolor==2.4.0
terminado==0.18.1
threadpoolctl==3.5.0
tinycss2==1.3.0
tornado==6.4
traitlets==5.14.3
types-python-dateutil==2.9.0.20240316
typing_extensions==4.11.0
tzdata==2024.1
uri-template==1.3.0
urllib3==2.2.1
wcwidth==0.2.13
webcolors==1.13
webencodings==0.5.1
websocket-client==1.8.0
Werkzeug==3.0.3
wheel==0.43.0
widgetsnbextension==4.0.10
wrapt==1.16.0To install above packages, use
(other) V:\>pip install -r requirements.txtafter other is the other virtual environment for tf clone.
