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  2. In google colab, you only thing you have to know is the path of the csv file. If you follow the steps that I have written below, your problem will be solved: First of all, upload the CSV file on your google drive. Then, open your google colab notebook and click on the 'Files' icon on the left side of the page.

  3. How can I hide cell contents in Google Colaboratory?

    stackoverflow.com/questions/49090476

    3. The most easiest way is to define "section" between your code cells. Then next to the title there an arrow using which you can hide all cells inside the section. Hide using sections: Select multiple cells using SHIFT and your mouse click. then do right click to get the Hide Cell option like this.

  4. Import data into Google Colaboratory - Stack Overflow

    stackoverflow.com/questions/46986398

    !pip install -U -q PyDrive ## you will have install for every colab session from pydrive.auth import GoogleAuth from pydrive.drive import GoogleDrive from google.colab import auth from oauth2client.client import GoogleCredentials # 1.

  5. 47. It may be easier to use mounting instead of pydrive. from google.colab import drive. drive.mount('drive') After authentication, you can copy your csv file. df.to_csv('data.csv') !cp data.csv "drive/My Drive/". edited Jan 12, 2020 at 0:28. answered Dec 23, 2018 at 2:20.

  6. Exporting Data from google colab to local machine

    stackoverflow.com/questions/49394737

    which will list the files and folders in your google drive and their id that you will need for the following step. file = drive.CreateFile({'parents':[{u'id': ' id of folder you want to save in '}]}) file.SetContentFile("mydataframe.csv") file.Upload() It will now be in your google drive in the given folder.

  7. You can use !mkdir foldername command to create folder in the current working directory. It will be by default /content. If you want to create directory with specific condition then use os.mkdir ('folder_path') to create the directory. import os.path from os import path if path.exists ('/content/malayalam_keyphrase_extraction') == False: os ...

  8. of the currently given three answers, one just repeats to use cv2_imshow given by colab, which OP already knows, and the other two just embed video files in the HTML, which wasn't the question. the question is: how to repeatedly show images, and have them be displayed successively, in the same place, in a colab notebook. a proper solution requires IPython calls.

  9. This is the only simple solution that I found myself and is working like charm: Step 1: mount google drive normally:

  10. If you don't use GPU but remain connected with GPU, after some time Colab will give you a warning message like Warning: You are connected to a GPU runtime, but not utilising the GPU. Change to a standard runtime. A good practice is to change the runtime on that time, otherwise, you may get blocked on this day.

  11. Colaboratory: How to install and use on local machine?

    stackoverflow.com/questions/50194637

    Google Colab is a cloud computer,it only runs through Internet,you can design your Python script,and run the Python script through Colab,run Python will use Google Colab hardware,Google will allocate CPU, RAM, GPU and etc for your Python script,your local computer just submit Python code to Google Colab,and run,then Google Colab return the result to your local computer,cloud ...