10 Essential Python Modules Every Developer Should Master
This article introduces ten powerful Python modules—including Pillow, moviepy, requests, Plotly, Selenium, progressbar2, PyPDF2, dis, pyttsx3, and Turtle—explaining their key features, installation commands, and providing ready-to-run code examples to help developers work more efficiently.
Python has a massive community and a wealth of modules that can solve almost any problem. Below are ten useful modules that can make you code like a pro.
1. Pillow – Image editor
Pillow is the most popular image editing and processing module in Python, offering resizing, rotation, transformation, and enhancement capabilities.
Installation:
pip install Pillow from PIL import Image
img = Image.open("img.jpg")
print(img.format)
print(img.mode)
print(img.size)
im = img.rotate(50)
im.show()2. moviepy – Video editor
moviepy is a well‑known library for video and audio editing. It can convert formats, adjust volume, add audio, trim, concatenate, and more.
Installation:
pip install moviepy import moviepy
clip = moviepy.VideoFileClip("video.mp4")
clip = clip.rotate(180)
clip = clip.volumex(0.5)
txt = moviepy.TextClip("@codedev101", color='white')
video = moviepy.CompositeVideoClip([clip, txt])
clip.write_videofile("output.mp4")3. requests – HTTP requests
Requests is a clean library for sending HTTP requests and retrieving web page content, making web scraping straightforward.
Installation:
pip install requests import requests
url = "Enter the URL"
headers = {'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/39.0.2171.95 Safari/537.36'}
response = requests.get(url, headers=headers)
print(response.status_code)
print(response.content)4. Plotly – Plotting library
Plotly enables the creation of high‑quality interactive graphs such as scatter, line, and area charts, widely used by Python data scientists.
Installation:
pip install plotly import plotly.express as plt
data = plt.data.iris()
fig = plt.bar(data, x="sepal_width", y="sepal_length")
fig.show()5. Selenium – Web automation
Selenium automates web browsers, allowing actions like clicking buttons and sending keystrokes, useful for scraping sites that require interaction.
Installation:
pip install selenium from selenium import webdriver
driver = webdriver.Chrome("chromedriver.exe")
driver.get("https://medium.com/")
print(driver.page_source)6. progressbar2 – Progress bar
Progressbar2 provides simple progress bars similar to those shown during pip installations, helping visualize task completion.
Installation:
pip install progressbar2 import progressbar, time
bar = progressbar.ProgressBar(max_value=100)
for i in range(100):
time.sleep(0.1)
bar.update(i)7. PyPDF2 – PDF toolkit
PyPDF2 allows extracting text, adding watermarks, encrypting, and manipulating PDF files programmatically.
Installation:
pip install PyPDF2 import PyPDF2
Pdf = open('test.pdf', 'rb')
read_pdf = PyPDF2.PdfFileReader(Pdf)
no_of_pages = read_pdf.getNumPages()
for i in range(no_of_pages):
page = read_pdf.getPage(i)
page_content = page.extractText()
print(page_content)8. dis – Disassembler
The built‑in dis module can disassemble Python bytecode, revealing how Python executes code under the hood.
Installation: pip install dis (the module is part of the standard library)
import dis
def func1(number):
return int(2) + int(number)
def func2():
while True:
print("Hello Python")
dis.dis(func1)
dis.dis(func2)9. pyttsx3 – Text‑to‑speech
pyttsx3 converts text to speech, similar to voice assistants like Alexa or Siri.
Installation:
pip install pyttsx3 import pyttsx3
engine = pyttsx3.init()
engine.say("Hi! I'm Jarvis Python Version")
engine.runAndWait()10. Turtle – Drawing module
Turtle provides simple graphics for drawing shapes and patterns.
Installation:
pip install turtle from turtle import Turtle, done
draw = Turtle()
draw.right(75)
draw.forward(100)
for x in range(4):
draw.right(144)
draw.forward(100)
done()These modules cover a wide range of tasks—from image processing and video editing to web automation and data visualization—helping Python developers boost productivity and expand their toolset.
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