Googlecolab1 tutorial for data science practise
- 1. Google colab
- 3. Rama Krishna E What is Google Colab? Google Colab is a free cloud service and now it supports free GPU! improve your Python programming language coding skills. develop deep learning applications using popular libraries such as Keras, TensorFlow, PyTorch, and OpenCV. The most important feature that distinguishes Colab from other free cloud services is; Colab provides GPU and is totally free. Details: https://research.google.com/colaboratory/faq.html
- 4. Rama Krishna E What is Google drive? Google Drive is a file storage and synchronization service developed by Google. Google Drive allows users to store files on their servers, synchronize files across devices, and share files. Google Drive offers users with 15 gigabytes of free storage through Google One. Files uploaded can be up to 5 terabytes in size.
- 5. Rama Krishna E Getting Google Colab Ready to Use Since Colab is working on your own Google Drive, we first need to specify the folder we’ll work. Of course, you choose the default Colab Notebooks folder instead of app folder.
- 6. Rama Krishna E Creating New Colab Notebook Create a new notebook via Right click > More > Colaboratory
- 7. Rama Krishna E Creating New Colab Notebook Rename notebook by means of clicking the file name.
- 8. Rama Krishna E Setting Free GPU It is so simple to alter default hardware (CPU to GPU or vice versa); just follow Edit > Notebook settings or Runtime>Change runtime type and select GPU as Hardware accelerator.
- 9. Rama Krishna E Running Basic Python Codes with Google Colab Now we can start using Google Colab.
- 10. Rama Krishna E Running or Importing .py Files with Google Colab Run these codes first in order to install the necessary libraries and perform authorization. from google.colab import drive drive.mount(‘/content/drive/) When you run the code above, you should see a result like this: Click the link, copy verification code and paste it to text box.
- 11. Rama Krishna E Running or Importing .py Files with Google Colab After completion of the authorization process, you should see this: Now you can reach your Google Drive with: !ls "/content/drive/My Drive/"
- 12. Rama Krishna E Cloning Github Repo to Google Colab It is easy to clone a Github repo with Git. Step 1: Find the Github Repo and Get “Git” Link Find any Github repo to use. Clone or download > Copy the link! Step 2: Git Clone Simply run: Step 3. Open the Folder in Google Drive Folder has the same with the Github repo of course !git clone https://github.com/wxs/keras-mnist-tutorial.git
- 13. Rama Krishna E Cloning Github Repo to Google Colab Step 4. Open The Notebook Right Click > Open With > Colaboratory Step 5. Run Now you are able to run Github repo in Google Colab.
- 14. Rama Krishna E Is GPU Working? To see if you are currently using the GPU in Colab, you can run the following code in order to cross-check: import tensorflow as tf tf.test.gpu_device_name()
- 15. Rama Krishna E Which GPU Am I Using? from tensorflow.python.client import device_lib device_lib.list_local_devices() Currently, Colab only provides Tesla K80.
- 16. Rama Krishna E Tesla k80
- 17. Rama Krishna E Tesla k80
- 18. Rama Krishna E Tesla k80
- 19. Rama Krishna E How to Restart Google Colab? In order to restart (or reset) your virtual machine, simply run: !kill -9 -1
- 20. Rama Krishna E How to Send Large Files From Colab To Google Drive?
Editor's Notes
- #3: Keras : open source library for network Pytorch: open source library for ML Open CV: open source library of intel for function programming به طور پیشفرض Tensorflow و بسیاری از کتابخانههای دیگر مثل numpy و sklearn و… روی آن نصب شده است و شما میتونید به پیادهسازی مدلهاتون بپردازید.
- #4: Google one:provide100 gigabytes, 200 gigabytes, 2 terabytes, 10 terabytes, 20 terabytes, and 30 terabytes
- #5: App folder in drive
- #11: به راحتی میتونید در کولب دستورهای مختلف از جمله pip , apt-get, ls, cd, و… را اجرا کنید. فقط کافی است قبل از دستور مورد نظرتون علامت ! رو قرار بدهید.