0_Installations

Anaconda Installation:

Anaconda Installation (windows):

Step1: https://www.anaconda.com/distribution/

Step2: Scroll down and select windows

Step3: Download Python 3.7 (64-bit or 34-bit as per requirement)

Step4: Remove all the previously installed Anaconda files from the system & restart

Step5: Double click on the Downloaded Anaconda3 Software and select next, next until last step.

Step6: After installation restart the system.

Anaconda Installation (Ubuntu):

Download Anaconda Unix version

Install: $bash Anaconda3-2019.03-Linux-x86_64.sh

Enter à Enter

Activate Installation à source ~/.bashrc 

Test installation: $ conda list

Set path: export PATH=~/anaconda3/bin:$PATH

TensorFlow(1.x) setup (Windows and Linux users):

In Spyder, go to Tools and Open Anaconda Prompt. Then enter the following commands:

1. Create a new environment with Anaconda and Python 3.5:

conda create -n tensorflow python=3.5 anaconda

2. Activate the environment:

activate tensorflow

3. After this you can install Theano, TensorFlow and Keras:

conda install theano

conda install mingw libpython

pip install tensorflow

pip install keras

4. Update the packages:

conda update --all

5. Run Spyder

spyder

To install TensorFlow on your GPU (optional):

pip install tensorflow-gpu

TensorFlow Installation ( windows10)

Tensorflow 2.x Installation

Step1) install python 3.7

https://www.python.org/downloads/ 

Step2) check for pip 19.0.3 and above

pip is by deafault available in python3.7

Step3) install virtual env:

py -m pip install --user virtualenv

Step4)create virtual environment(for project specific)

c:/ virtualenv --system-site-packages -p python3 ./venv

c:/.\venv\Scripts\activate

Step5) Install pip: (for checking only, by default it will be there)

pip install --upgrade pip

Step6) (venv) C:\Users\hari krishna>pip list

Shows all available installed softwares in the created environment

venv --> environment name we gave

Step7) Install tensorflow:

(venv) C:\Users\hari krishna>pip install --upgrade tensorflow

Common error which can be ignored:

2020-02-10 18:21:42.346171: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'cudart64_101.dll'; dlerror: cudart64_101.dll not found

2020-02-10 18:21:42.347867: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.

Pytorch in windows:

1)Using pip:

(venv_DL1) C:\Users\hari krishna>pip install torch==1.4.0+cpu torchvision==0.5.0+cpu -f https://download.pytorch.org/whl/torch_stable.html

2) using conda:

conda install pytorch torchvision cpuonly -c pytorch

PyCharm Installation:

https://www.jetbrains.com/pycharm/download/#section=windows

and download the community edition.

Python pip bulk installation:

pip install -r requirements.txt

100_Virtual Environment Setup

Virtual Environment Creation and selecting environments in (windows 10):

Virtual environment creation in Python:

Create directory for environ ments:
>mkdir virtual_envs
>cd virtual_envs
Step1: py -m pip install --user virtualenv

Step2: py -m virtualenv venv_for_bots

Step3: .\venv_for_bots\Scripts\activate

venv_for_bots -->is the environment created.

Virtual environment creation in Anaconda:

Step1: Goto Anaconda prompt

Step2: conda create --name myenv 

           conda create -n myenv python==3.7 (specifying python version)

Step3: activate myenv

note: List Environments in conda:
conda env list

For reference:
https://docs.conda.io/projects/conda/en/latest/user-guide/tasks/manage-environments.html

Virtual Environment creation through Pycharm:

Fileà settingsàProject à Python interpreter à right top corner select gear icon àaddà

Select Conda Environment/Virtual Environmnt/ à select new environment àgive the name àok

Open virtual environment in Pycharm:

Fileà settingsàProject à Python interpreter à right top corner select gear icon àaddà

Select Conda Environment/Virtual Environmnt/ à select existing environment àok