#python for automation

[clariontech]

Python’s extensive use in AI, automation, and development frameworks makes it a crucial technology for businesses in 2025. 

[mobileappdeveloperspoint]

Python for Automation: Supercharge Your Productivity

In today's fast-paced world, automation is essential for productivity and efficiency. Python is a popular choice for automating jobs across fields because of its simplicity, versatility, and powerful libraries.

Programmers, data analysts, system administrators, and anybody wishing to automate monotonous operations can benefit from Python. So, let’s explore more about how python for automation can boost productivity.

Top 5 Processes You Can Automate with Python

Email automation

Email is standard in personal and business settings. Python libraries like smtplib and imaplib automate email sending, receiving, and processing. Python simplifies email administration, from mass sending to screening messages.

File operations

Many workflows include file and directory manipulation. Use Python's os modules to automate file renaming, copying, relocating, and deleting. Python is efficient for local file organization and server file operations.

Data compilation

Many businesses and projects need to collect and process data. Python excels at data compilation. Pandas lets you read data from many formats, clean and preprocess it, and easily merge datasets. Python automates data collecting and analysis.

Web scraping

Manually scraping webpage data is tedious. This method can be automated with Python's web scraping packages BeautifulSoup and Scrapy. Python simplifies web scraping for market study and content curation.

Generate reports

Monitoring and assessing a business or project requires reporting. Data manipulation and visualization make report generation easy in Python. You can automate PDF, Excel, and interactive online dashboard report generating to save time and ensure consistency.

Top Python Modules for Automation

Paramiko

Paramiko is a Python SSH implementation that lets you securely automate remote server functions. Paramiko streamlines remote admin tasks like command execution, file transfer, and SSH key management.

Pandas

The Panda framework is critical for any data analyst because structured data manipulation and analysis become easy. Pandas reduces any computational effort required from reading and writing to clever transformations, hence it is fundamental for data speed up.

Selenium

Selenium is an extensively adopted web automation tool for an interactive and behaviour-driven automated testing approach. By means of robotics, performing humanoid tasks becomes possible, like filling out form fields, clicking on buttons or harvesting dynamic content, for instance.

JSON

JSON, which is a straightforward data interchange format, is used for JSON configuration files and API response. The reason for Json support in Python, parsing and producing Json data becomes really easy, which makes simple JSON data interchanging automation chores.

Requests

Python portraying the Requests HTTP library is simple but powerful. Requests library also makes executing requests and calls in when automation is required for API clients or web services quite a simple task.

AutoMagica

AutoMagica, a Python library, facilitates RPA by offering a high-level API for desktop application automation. AutoMagica automates computer operations, including data entering, form filling, and application testing, without sophisticated programming.

PyBuilder

Python project build automation tool PyBuilder streamlines dependency management, testing, and packaging. PyBuilder helps python development serviceprovidersto automate Python development with consistent and reliable builds across environments.

Use Cases of Python Automation

Test automation

Software quality and dependability require automated testing. Python's testing frameworks like pytest and unit test make unit, integration, and end-to-end testing easy to automate, speeding up development process.

Web scraping

Web scraping can be performed for detecting market changes, competitive analysis and data extraction. Python's web scraping modules and the capabilities of HTTP PoS makes it suitable for automated cross-domain web scraping.

System administration

The work of a system administrator, such as server arrangement, log analysis, and user management, is always a job that is done repeatedly. A system admin is able to perform these operations seamlessly and efficiently due to powerful system administration tools and the scripting environment of Python, which allow them to automate the operations, thereby saving time for other essential tasks.

Data analysis and visualization

Data analysis and visualization are consequential for identifying insights and insightful decision-making. A broader category of data manipulation and visualization libraries, as well as its ability to automate tiresome data analysis processes and simply create visuals, composes the Python ecosystem and allows analysts to focus on more strategic tasks.

Robotics and IoT

The Python language is a great choice when automating software, robots, and IoT. Now, you can make robots and IoT work, for example, by monitoring sensors, activating actuators, and communication interfaces by using libraries like Raspberry Pi GPIO and PySerial that allow the computer to have almost indefinite automation capabilities.

Conclusion

The Python scripting, module, and library ecosystem makes Python a promising language for automating repetitive tasks. Web scraping, data visualization, data analysis, system administration, and robotics are just a few of the many niches that have praised Python for its exceptional task execution capabilities.

To top it all off, Python's simplicity and ease of understanding have become even more appealing to developers who want to use the language for automation purposes. Shiv Technolabs a professional python development company helps you leverage the full potential of Python for bringing automation benefits to your business.

[antiadvil]

i need dan and phil to learn the full story behind their rpftourney win i NEED them to understand how hard we fought in the semifinals i neeeeeeed them to understand how serious tumblr voter fraud is

[utopicwork]

Had a chance to use Helium [0], a wrapper around Selenium to make web automation easier, and well it did in fact do that. I was initially just going to use requests to pull the page [1] but the page (a yu-gi-oh decklist) does some JS nonsense that I needed to wait for before the elements I want showed up. With Helium I was able to load the page in a headless Firefox session, wait for the elements to show up and then iterate over all the elements in less then 5 lines of code.

The point of all this was to pull a bunch of card art which I then ran through a background remover [2] so I can potentially do cheap pepper's ghost holograms as an additional element to duels. As with AI generally we got some good results and some garbage, I suspect I can partially fix this with settings, but of particular interest I feel was the Mokey Mokey card which came out almost perfect.

Links

[0]: https://github.com/mherrmann/helium

[1]: https://www.yugiohmeta.com/saved-decks/684b7cf9436ab959b3a62d75

[2]: https://github.com/nadermx/backgroundremover

[adafruit]

27-Year-Old EXE becomes Python - AI-assisted reverse engineering 🤖⚡💾���� https://blog.adafruit.com/2025/02/27/27-year-old-exe-becomes-python-in-minutes-with-claude-ai-assisted-reverse-engineering/

[evg]

in so deep into modding sims 3 that I made a script to mass change 2000 cc files' hex header 😭😭😭😭😭

[fraoula1]

Python for Data Science: From Beginner to Expert – A Complete Guide!

Python has become the go-to language for data science, thanks to its flexibility, powerful libraries, and strong community support. In this video, we’ll explore why Python is the best choice for data scientists and how you can master it—from setting up your environment to advanced machine learning techniques.

🔹 What You'll Learn:

✅ Why Python is essential for data science

✅ Setting up Python and key libraries (NumPy, Pandas, Matplotlib) ✅ Data wrangling, visualization, and transformation

✅ Building machine learning models with Scikit-learn

✅ Best practices to enhance your data science workflow 🚀 Whether you're a beginner or looking to refine your skills, this guide will help you level up in data science with Python. 📌 Don’t forget to like, subscribe, and hit the notification bell for more data science and Python content!

[roseband]

he literally just said on a rally (why is he even doing them still wtf) that he wants to bring the economy back to 1929 we're all so fucking screwed.... we're so fucking screwed

the social stuff can be mitigated... this can't, we're so screwed globally :|

[dragonfly7022003]

Some programs I have created and use.

File Scanner

This program is more of a scanner to search a server and find all the older files. I set it up to scan for older files that are over 7 years old and compile them into an excel file so they can be reviewed before deletion. This is a good program for users for file retention policies. Also to find those information hoarders.

Now the program will ask you for a file path, then ask where you want to store the excel folder.

import os import datetime from openpyxl import Workbook from tkinter import filedialog import tkinter as tk

def get_file_creation_time(file_path): """ Get the creation time of a file. """ print("File path:", file_path) #Debug Print try: return datetime.datetime.fromtimestamp(os.path.getctime(file_path)) except OSError as e: print("Error:", e) #debug print return None

def get_file_size(file_path): """ Get the size of a file. """ return os.path.getsize(file_path)

def list_old_files(folder_path, output_directory): """ List files older than 7 years in a folder and store their information in an Excel file. """ # Initialize Excel workbook wb = Workbook() ws = wb.active ws.append(["File Name", "File Path", "Creation Date", "Size (bytes)"])

# Get current date current_date = datetime.datetime.now()

# Traverse through files in the folder for root, dirs, files in os.walk(folder_path): for file in files: file_path = os.path.join(root, file) creation_time = get_file_creation_time(file_path) if creation_time is None: continue #Skip files that could not be retrived

file_age = current_date - creation_time if file_age.days > 7 * 365: # Check if file is older than 7 years file_size = get_file_size(file_path) ws.append([file, file_path, creation_time.strftime('%Y-%m-%d %H:%M:%S'), file_size])

# Save Excel file to the specified directory output_excel = os.path.join(output_directory, "old_files.xlsx") wb.save(output_excel) print("Old files listed and saved to", output_excel)

if __name__ == "__main__": # Initialize Tkinter root = tk.Tk() root.withdraw() # Hide the main window

# Ask for folder path folder_path = filedialog.askdirectory(title="Select Folder")

# Ask for output directory output_directory = filedialog.askdirectory(title="Select Output Directory")

list_old_files(folder_path, output_directory)

------------------------------------------------------------------------------

Older file Scanner and Delete

Working in the IT field, you will find that the users will fill up the space on the servers with older files.

Especially if you work within an industry that needs to have document retention policies where you can not keep some documents longer than a certain amount of time or you just have hoarders on your network. You will know those people who do not delete anything and save everything.

So I wrote up a program that will search through a selected server and find all empty files, older files, and delete them.

import os import datetime import tkinter as tk from tkinter import filedialog

def list_files_and_empty_folders_to_delete(folder_path): # Get the current date current_date = datetime.datetime.now()

# Calculate the date seven years ago seven_years_ago = current_date - datetime.timedelta(days=7*365)

files_to_delete = [] empty_folders_to_delete = []

# Iterate over files and folders recursively for root, dirs, files in os.walk(folder_path, topdown=False): # Collect files older than seven years for file_name in files: file_path = os.path.join(root, file_name) # Get the modification time of the file file_modified_time = datetime.datetime.fromtimestamp(os.path.getmtime(file_path)) # Check if the file is older than seven years if file_modified_time < seven_years_ago: files_to_delete.append(file_path)

# Collect empty folders for dir_name in dirs: dir_path = os.path.join(root, dir_name) if not os.listdir(dir_path): # Check if directory is empty empty_folders_to_delete.append(dir_path)

return files_to_delete, empty_folders_to_delete

def delete_files_and_empty_folders(files_to_delete, empty_folders_to_delete): # Print files to be deleted print("Files to be deleted:") for file_path in files_to_delete: print(file_path)

# Print empty folders to be deleted print("\nEmpty folders to be deleted:") for folder_path in empty_folders_to_delete: print(folder_path)

# Confirmation before deletion confirmation = input("\nDo you want to proceed with the deletion? (yes/no): ") if confirmation.lower() == "yes": # Delete files for file_path in files_to_delete: os.remove(file_path) print(f"Deleted file: {file_path}")

# Delete empty folders for folder_path in empty_folders_to_delete: os.rmdir(folder_path) print(f"Deleted empty folder: {folder_path}") else: print("Deletion canceled.")

def get_folder_path(): root = tk.Tk() root.withdraw() # Hide the main window

folder_path = filedialog.askdirectory(title="Select Folder") return folder_path

# Ask for the folder path using a dialog box folder_path = get_folder_path()

# Check if the folder path is provided if folder_path: # List files and empty folders to be deleted files_to_delete, empty_folders_to_delete = list_files_and_empty_folders_to_delete(folder_path) # Delete files and empty folders if confirmed delete_files_and_empty_folders(files_to_delete, empty_folders_to_delete) else: print("No folder path provided.")

______________________________________________________________

Batch File Mod

This program is used for when you need to mod Batch files. Any person in IT that has had to manage Batch files for a large company can think how annoying it would be to go through each one and make a single line change.

Well this program is made to search through all the batch files and you can write in a line, and it will replace it with another line you choose.

import os

def find_files_with_text(directory_path, text_to_find): files_with_text = [] for root, _, files in os.walk(directory_path): for file_name in files: if file_name.endswith('.bat'): file_path = os.path.join(root, file_name) with open(file_path, 'r') as file: if any(text_to_find in line for line in file): files_with_text.append(file_path) return files_with_text

def remove_line_from_file(file_path, text_to_remove): try: with open(file_path, 'r') as file: lines = file.readlines()

with open(file_path, 'w') as file: for line in lines: if text_to_remove not in line: file.write(line)

print(f"Removed lines containing '{text_to_remove}' from {file_path}.")

except FileNotFoundError: print(f"Error: The file {file_path} does not exist.") except Exception as e: print(f"An error occurred: {e}")

def process_directory(directory_path, text_to_remove): files_with_text = find_files_with_text(directory_path, text_to_remove)

if not files_with_text: print(f"No files found containing the text '{text_to_remove}'.") return

for file_path in files_with_text: print(f"Found '{text_to_remove}' in {file_path}") user_input = input( f"Do you want to remove the line containing '{text_to_remove}' from {file_path}? (yes/no): ").strip().lower() if user_input == 'yes': remove_line_from_file(file_path, text_to_remove) else: print(f"Skipped {file_path}.")

if __name__ == "__main__": directory_path = input("Enter the path to the directory containing batch files: ") text_to_remove = input("Enter the text to remove: ") process_directory(directory_path, text_to_remove)

[deeones]

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[readingloveswounds]

i will not apply to the graduate assistant position i will not apply to the graduate assistant position i will not

[ailurinae]

I started to make a python script to do this, but if one wanted to imitate the way @hellsitegenetics does it (and it isn't always perfectly consistent from post to post as well...), it starts getting complicated.

Just preserving emojis for example it quite a lot of fiddly work to get right as not all "emoji" are in the same unicode blocks, doubly so with combining with zero-width-joiner, e.g. how the trans flag emoji is made (white flag + ZWJ + transgender symbol).

Also not sure how/if HSG has handled accented characters e.g. á (which is usually just an "a" with an accent) or characters that look like another character e.g. å (which in most(?) languages that use it is a separate letter)... adjusting for those is also a whole thing. You can decompose them and toss the diacritic part, but that assumes you are going to treat á and å the same, etc

Just doing uppercase and straight stripping out everything but ASCII ACGT is really easy... everything else is not so easy.

WHAT DO YOU MEAN YOU'RE DOING IT ALL BY HAND??? LIKE BACKSPACING OUT EVERY LETTER BEFORE YOU SEARCH THE STRING???

String identified: AT A ' G T A A??? ACACG T TT AC T TG???

Closest match: Crassostrea gigas strain QD chromosome 2 Common name: Pacific oyster

[bloggersmith]

Unlock Your Programming Potential with Python Training at Magnitia

In today’s fast-evolving tech landscape, mastering Python has become more than just a skill—it’s a gateway to numerous career opportunities in software development, data science, automation, artificial intelligence, and more. At Magnitia, our Python Training course is designed to transform learners from beginners to industry-ready professionals, equipping them with both foundational knowledge and practical experience.

Why Choose Python?

Python is known for its simplicity, versatility, and powerful libraries. Whether you're developing web applications, analyzing data, automating tasks, or venturing into machine learning, Python offers the flexibility and efficiency that modern developers and organizations demand. Its readability and vast community support make it the first choice for professionals and students alike.

About the Python Training at Magnitia

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[adafruit]

Fully automating Arduino development - Giving Claude Code access to hardware 🤖⚡️💻 https://youtu.be/Yt8mc5v7MYA

Testing Claude Code, to automate Arduino coding/debugging for Metro & OPT 4048!

[creatik-ai]

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