Setting up Jupyter Notebook
(→Create a new Conda environment with tensorflow) |
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*You will be asked if you want Anaconda to be your default version of Python. We recommend ‘Yes’. | *You will be asked if you want Anaconda to be your default version of Python. We recommend ‘Yes’. | ||
*Click {{button|text=Install}}. | *Click {{button|text=Install}}. | ||
+ | |||
+ | ===Create a new Conda environment with tensorflow=== | ||
+ | To install the current release of CPU-only TensorFlow we create a new environment with name ''tf'' and install the package tensorflow. The Conda environment is directory which contains a specific installation of Python packages. That means for example, yoe can have different environemnts with different package compilations oder different version of packages. | ||
+ | * Open the Anaconda Command Prompt from windows start menu, type: | ||
+ | <source lang="dos"> | ||
+ | conda create --name tf tensorflow | ||
+ | </source> | ||
+ | * To activate and use the new environment, type: | ||
+ | <source lang="dos"> | ||
+ | conda activate tf | ||
+ | </source> | ||
===Install Jupyter=== | ===Install Jupyter=== | ||
+ | [[https://jupyter.org/ Jupyter]] Notebook is an easy-to-use, interactive, web-based editor for writting and executing Python code. | ||
* In the Anaconda Prompt, type | * In the Anaconda Prompt, type | ||
<source lang="dos">conda install jupyter</source> | <source lang="dos">conda install jupyter</source> | ||
Line 26: | Line 38: | ||
===Install required packages=== | ===Install required packages=== | ||
Now we install a few packages we need for the course. | Now we install a few packages we need for the course. | ||
− | * In the Anaconda Prompt, type | + | * In the Anaconda Command Prompt, type (hit ‘Enter’ after each row) |
− | <source lang="python"> | + | <source lang="python"> |
− | + | conda install numpy | |
+ | conda install -c conda-forge matplotlib | ||
+ | conda install -c conda-forge pandas | ||
+ | conda install -c anaconda pillow | ||
+ | </source> | ||
+ | * Press {{button|text=Enter}} after each row | ||
[[Category: Deep Learning in Forestry]] | [[Category: Deep Learning in Forestry]] |
Latest revision as of 13:19, 15 October 2021
Contents |
[edit] Installation Guide for Windows Miniconda
Go to the Miniconda Download page [Miniconda Download]. Download the appropriate (32- or 64-Bit) Python 3.7 version of Miniconda.
- Double click on the .exe file and click Install.
- Read and agree to the licensing terms.
- Select if you want to install for ‘Just Me’ or ‘All Users’. If you are installing for ‘All Users’, you must have Administrator privileges.
- You will be prompted to select the installation location. By default, Anaconda should try to install in your home directory. We recommend accepting this default. Click Install.
- Anaconda PATH environment variable
- You will be asked if you want to add Anaconda to your PATH environment variable. Do not add Anaconda to the PATH because it can interfere with other software.
- You will be asked if you want Anaconda to be your default version of Python. We recommend ‘Yes’.
- Click Install.
[edit] Create a new Conda environment with tensorflow
To install the current release of CPU-only TensorFlow we create a new environment with name tf and install the package tensorflow. The Conda environment is directory which contains a specific installation of Python packages. That means for example, yoe can have different environemnts with different package compilations oder different version of packages.
- Open the Anaconda Command Prompt from windows start menu, type:
conda create --name tf tensorflow
- To activate and use the new environment, type:
conda activate tf
[edit] Install Jupyter
[Jupyter] Notebook is an easy-to-use, interactive, web-based editor for writting and executing Python code.
- In the Anaconda Prompt, type
conda install jupyter
Once the installation is complete, you can run a jupyter notebook by typing:
jupyter notebook
A Jupyter Notebook interface will appear in your default browser.
[edit] Install required packages
Now we install a few packages we need for the course.
- In the Anaconda Command Prompt, type (hit ‘Enter’ after each row)
conda install numpy conda install -c conda-forge matplotlib conda install -c conda-forge pandas conda install -c anaconda pillow
- Press Enter after each row