How I Automate My Freelance Workflow with Python
As a freelance developer, I've learned that automation is key to increasing productivity and efficiency. By leveraging Python, I've been able to streamline my workflow, reducing the time spent on repetitive tasks and focusing on high-leverage activities. In this article, I'll share my approach to automating my freelance workflow with Python, including practical steps and code examples.
Setting up the Environment
To get started, I'll assume you have Python installed on your system. If not, you can download the latest version from the official Python website. I'll be using Python 3.9 for this example.
First, let's create a new virtual environment using venv:
python -m venv freelance-env
Activate the virtual environment:
# On Windows
freelance-env\Scripts\activate
# On Linux/Mac
source freelance-env/bin/activate
Now, let's install the necessary packages:
pip install requests pandas openpyxl
Automating Client Onboarding
When a new client signs up, I need to send them a welcome email with a contract and a payment invoice. I've automated this process using Python's smtplib library.
Create a new file called client_onboarding.py and add the following code:
import smtplib
from email.mime.text import MIMEText
def send_welcome_email(client_email, client_name):
# Define email parameters
sender_email = "your-email@gmail.com"
sender_password = "your-email-password"
subject = "Welcome to our freelance services!"
# Create email body
body = f"Dear {client_name},\n\nWelcome to our freelance services! We're excited to have you on board.\n\nPlease find attached your contract and payment invoice.\n\nBest regards,\nYour Name"
# Create email message
msg = MIMEText(body)
msg["Subject"] = subject
msg["From"] = sender_email
msg["To"] = client_email
# Send email
server = smtplib.SMTP("smtp.gmail.com", 587)
server.starttls()
server.login(sender_email, sender_password)
server.sendmail(sender_email, client_email, msg.as_string())
server.quit()
# Example usage
client_email = "client@example.com"
client_name = "John Doe"
send_welcome_email(client_email, client_name)
Automating Time Tracking
As a freelancer, it's essential to track time spent on projects to ensure accurate invoicing. I use the pandas library to create a simple time tracking system.
Create a new file called time_tracking.py and add the following code:
import pandas as pd
from datetime import datetime
def log_time(project_name, hours_worked):
# Load existing time log
try:
time_log = pd.read_csv("time_log.csv")
except FileNotFoundError:
time_log = pd.DataFrame(columns=["Project", "Date", "Hours Worked"])
# Create new log entry
new_log = pd.DataFrame({
"Project": [project_name],
"Date": [datetime.now().strftime("%Y-%m-%d")],
"Hours Worked": [hours_worked]
})
# Append new log entry to existing log
time_log = pd.concat([time_log, new_log])
# Save updated time log
time_log.to_csv("time_log.csv", index=False)
# Example usage
project_name = "Client Project"
hours_worked = 2
log_time(project_name, hours_worked)
Automating Invoicing
With the time log in place, I can automate the invoicing process using Python's openpyxl library.
Create a new file
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