#python automation

[digitalworldcci]

Our *Automation Testing with Python* training in Delhi NCR, India, is designed for professionals seeking to master automation frameworks and streamline software testing processes. Through hands-on sessions, participants will learn Python's powerful libraries like Selenium, PyTest, and Unittest to create robust test scripts. Led by industry experts, this course is ideal for those aiming to boost their skills in test automation and ensure high software quality. Gain in-demand expertise and advance your testing career with us!

[kevinsoftwaresolutions]

Python for Automation: Supercharge Your Productivity

In the digital age, efficiency is the new currency. Businesses are constantly on the lookout for ways to streamline operations and boost productivity. One of the most effective ways to achieve this is through automation. And when it comes to automation, Python is the go-to language for many developers and businesses.

Why Python for Automation?

Python is a high-level, interpreted programming language known for its simplicity and readability. Its syntax is clean and easy to understand, which makes it a great choice for beginners. But don’t let its simplicity fool you. Python is a powerful language that can handle a wide range of tasks, from data analysis to web development and, of course, automation.

Python’s extensive library support is another reason why it’s a popular choice for automation. Libraries like Selenium for web automation, Pandas for data manipulation, or even built-in libraries like os and sys for system-level tasks, make Python a versatile tool for automation.

Supercharging Your Productivity with Python

Automation can significantly boost your productivity by taking over repetitive tasks. For instance, Python can automate mundane tasks like reading and writing files, scraping data from websites, sending emails, and more. This allows you to focus on more complex tasks that require human intelligence.

Imagine having a Python script that automatically sorts and organizes your files, or a script that scrapes data from a website every day and sends you an email with a summary. These are just a few examples of how Python can supercharge your productivity.

Hiring a Python Developer

If you’re not familiar with Python or coding in general, don’t worry. You can always hire Python developer to help you with your automation needs. A skilled Python developer can help you identify tasks that can be automated, write efficient scripts, and even train you to maintain and update the scripts as needed.

When hiring a Python developer, look for someone with experience in automation and the libraries you need. They should also have good problem-solving skills and a deep understanding of Python and its nuances.

Working with a Python Development Company

If your automation needs are extensive, you might want to consider working with a Python development company. These companies have teams of experienced Python developers who can handle large projects. They can provide a range of services, from writing simple automation scripts to developing complex automation systems.

Working with a Python development company also has other benefits. For instance, they can provide ongoing support and maintenance, and they can scale up quickly if needed. Plus, they are more likely to be familiar with the latest Python trends and technologies, which can give you an edge over your competitors.

Conclusion

In conclusion, Python is a powerful tool for automation that can significantly boost your productivity. Whether you’re a solo entrepreneur looking to automate simple tasks, or a large company looking to streamline operations, Python can help. So why wait? Hire a Python developer or partner with a Python development company today, and supercharge your productivity with Python automation.

Q1: What is Python for Automation, and how can it supercharge productivity?

A1: Python for Automation refers to leveraging the Python programming language to automate repetitive tasks and streamline processes. By using Python scripts and tools, individuals can save time, reduce manual effort, and enhance overall productivity in various domains.

Q2: How can Python be used for automation in different industries?

A2: Python's versatility makes it suitable for automation across various industries, including software development, data analysis, system administration, finance, and more. It can automate tasks such as file manipulation, data extraction, web scraping, and routine maintenance, making it a valuable tool in diverse fields.

Q3: What are some key benefits of using Python for automation?

A3: Python offers several advantages for automation, such as simplicity, readability, a vast collection of libraries, and cross-platform compatibility. Its ease of learning and widespread adoption in the tech community contribute to its effectiveness in boosting productivity.

Q4: Are there any prerequisites for learning Python for automation?

A4: While no specific prerequisites are mandatory, having a basic understanding of Python programming fundamentals can be helpful. Familiarity with concepts like variables, loops, and functions will expedite the learning process for automation tasks.

Q5: Can Python be used for both simple and complex automation tasks?

A5: Yes, Python is well-suited for a wide range of automation tasks, from simple repetitive actions to complex workflows. Its simplicity makes it accessible for beginners, while its power and extensibility allow experienced developers to tackle intricate automation challenges.

Q6: What are some real-world examples of Python automation projects?

A6: Examples include automating data extraction and analysis, web scraping, automating routine system administration tasks, creating chatbots, and building scripts for automating software testing. Python's versatility enables it to address diverse automation needs across industries.

Q7: Are there specific libraries or frameworks recommended for Python automation?

A7: Yes, there are several popular libraries and frameworks for Python automation, such as Selenium for web automation, Beautiful Soup for web scraping, Requests for HTTP requests, and PyAutoGUI for GUI automation. The choice depends on the specific requirements of the automation task.

Q8: How can Python for automation enhance collaboration in a team environment?

A8: Python's clear syntax and readability contribute to effective collaboration within teams. By using standardized Python scripts, team members can easily understand and contribute to automation projects. This fosters a collaborative environment and ensures seamless integration of automated processes into workflows.

Q9: Can Python for automation be applied in non-programming fields?

A9: Absolutely. Python's user-friendly syntax and extensive libraries make it accessible to individuals in non-programming fields. It can be applied in areas like data analysis, finance, and research, allowing professionals with diverse backgrounds to leverage automation for increased efficiency.

Q10: Where can one find resources to learn Python for automation?

A10: Numerous online platforms, tutorials, and courses are available for learning Python for automation. Websites like Codecademy, Udemy, and official Python documentation provide comprehensive resources. Additionally, community forums and books dedicated to Python automation are valuable learning assets.

[computercodingclass]

How to Schedule Events in Python | Python Bot

Please Subscribe our YouTube channel Computer Coding Class.

https://www.youtube.com/@computercodingclass

[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]

🚀 Boost Your E-commerce Game with Python RPA! 🚀

Enhance customer analytics with Python-based Robotic Process Automation (RPA) and stay ahead of the competition!

💥 Efficiency, accuracy, and scalability - what more could you ask for? 🤔

💥Learn More: www.bootcamp.lejhro.com/resources/python/improving-customer-analytics-in-e-commerce

💥The latest scoop, straight to your mailbox : http://surl.li/omuvuv

[automata-pi]

J'ai automatisé 1000 épingles Pinterest à 100%. Au début, j'étais sceptique, mais 5 minutes après mes premiers uploads, j'avais déjà 3 clics. Un ami me parlait de Pinterest et à quel point c'était un réseau social sous-coté. Et je t'avoue, je ne le croyais pas. Il paraît même que dès tes 50 premiers euros de pub dépensés, tu peux parler à de vrais humains de chez Pinterest qui te conseillent gratuitement. La seule expérience de publicité que j'ai eue, c'était avec Meta, où en deux semaines mon compte a été bloqué trois fois. J'étais donc intrigué. Il se trouve que j'ai maintenant un blog, et l'idée d'une automatisation s'est tout de suite mise en branle dans mon cerveau d'ingénieur. (Cerveau gauche pour l'ingénierie, le droit c'est pour l'entrepreneuriat) Pour chaque article -> Associer des cibles -> Pour chaque cible -> Créer un titre et une description adaptés avec GPT-4 -> Prendre une image jolie et y coller le titre -> Uploader avec un lien vers l'article -> Basta ! Tu vois ? Eh bien, en une phrase, c'est l'automatisation que j'ai réalisée. Pour qu'à la fin, j'ai plus qu'à appuyer sur un bouton et 1000 épingles soient créées et uploadées. Évidemment, je ne suis pas assez bourrin pour uploader 1000 épingles d'un coup sur Pinterest. Ça va se faire progressivement, chaque jour. Pinterest est un réseau social qui est avant tout un moteur de recherche à long terme. La durée de vie du contenu est grande. Mais dès les premières images uploadées, j'avais déjà quelques clics, ce qui est très encourageant. Je te dirai ce que ça donne sur le long terme. J'explique techniquement toutes les étapes en détail dans un article qui contient toutes les ressources pour faire exactement la même chose. Si tu veux que je t'envoie le lien : 👍 Like. 💬 Commente "Je veux automatiser mon acquisition, merci Paul. Cdlt" (je déconne, mets ce que tu veux) À bientôt,

[crackaddict55]

Love Firefox, but have to use Chrome for automation projects. The dev tools just feel better to use. Maybe it’s because I’m not used to Firefox dev tools but oh lord it feels really clunky to me.

[readingloveswounds]

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

[cciehub]

This Python Automation Online Course is designed to teach you how to automate repetitive tasks using Python. You'll start with Python automation online course fundamentals, including syntax, data types, and control structures. Then, explore libraries like `Selenium` for web automation, `Pandas` for data handling, and `Requests` for APIs. With practical projects, you'll automate tasks like file management, web scraping, and data entry. By the end, you'll have hands-on skills to create powerful automation scripts that streamline workflows and improve productivity. No prior coding experience is required.

[relto]

btw where the fuck is the guy who wanted me to register new devices. ive been trying very hard to find things to do at all this week and that would be an enriching 5 minutes

[routehub]

Sending REST APIs in Playbooks

Hello Networkers,

We have released a new update to our existing ‘Network Automation using Ansible’ course we will show you how you can run python scripts inside of an Ansible playbook utilizing the shell module. Another type of task we can run is sending REST API requests inside of a playbook. For this example we will send a request to one of my Palo Alto Network firewalls to get some basic system information..

You can get more details here:

https://www.routehub.net/course/ansible/

[mynewchapterinlife]

Home Automation 家居自動化

[tuvocservices]

Master Web Scraping with Python: Beautiful Soup, Scrapy, and More

Learn web scraping with Python using Beautiful Soup, Scrapy, and other tools. Extract and automate data collection for your projects seamlessly.