Tutor

[DevCEDTeam]

Your assignment is to write the following course:

(1) Learn how to import a .CSV file into Google Colab and use Python to efficiently split batch files into 5,000 contacts.

(2) This step-by-step course will guide you through the process of importing a .CSV file into Google Colab and demonstrate how to use Python to split batch files into smaller chunks of 5,000 contacts.

(3) By the end of this course, you will have a comprehensive understanding of how to import a .CSV file into Google Colab and utilize Python to effectively split batch files into manageable sections of 5,000 contacts.

[DevCEDTeam]

Course: Importing CSV Files into Google Colab and Splitting Batch Files into 5,000 Contacts with Python

Prerequisites:

• Basic knowledge of Python
• Google Colab account

Learning Objectives:

• By the end of this course, you will be able to:
  • Import a CSV file into Google Colab
  • Use Python to split a CSV file into smaller chunks
  • Split a CSV file into 5,000 contacts using Python

Steps:

1. Import the necessary Python libraries.

import pandas as pd

2. Mount your Google Drive to Google Colab.

from google.colab import drive
drive.mount('/content/drive')

3. Upload your CSV file to Google Drive.

4. Import the CSV file into Google Colab.

df = pd.read_csv('/content/drive/My Drive/contacts.csv')

5. Split the CSV file into smaller chunks.

def split_batch_files(df, chunk_size=5000):
  """Splits a Pandas DataFrame into smaller chunks of a given size.

  Args:
    df: A Pandas DataFrame.
    chunk_size: The size of each chunk.

  Returns:
    A list of Pandas DataFrames, each of which is a chunk of the original DataFrame.
  """

  chunks = []
  for i in range(0, len(df), chunk_size):
    chunk = df[i:i + chunk_size]
    chunks.append(chunk)
  return chunks

# Split the DataFrame into chunks of 5000 contacts
chunks = split_batch_files(df)

6. Split the CSV file into 5,000 contacts.

# Create a list to store the split contact files
contact_files = []

# Iterate over the chunks and write each chunk to a separate CSV file
for i in range(len(chunks)):
  chunk_file = f'/content/drive/My Drive/contacts_{i}.csv'
  chunks[i].to_csv(chunk_file, index=False)
  contact_files.append(chunk_file)

Conclusion:

You have now successfully imported a CSV file into Google Colab and split it into 5,000 contacts using Python. You can use these contact files for any purpose you need, such as email marketing or customer relationship management (CRM).

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