Curated Python Scripts for Workflow Automation and Productivity Enhancement
A curated collection of Python scripts designed to streamline workflows, improve productivity, and automate repetitive tasks. This repository covers a wide range of areas, including machine learning, automation, data sorting, security, and management.
Warning: Please review each script before running it. Most of these scripts are automated and will ask for user input, but it's good practice to understand what a script does before executing it.
You're ready to use the scripts! Double-click the .bat file and follow the prompts to provide the necessary inputs.
Scripts
backup_files.py: Automate the backup of important files and directories to a local or remote location, with options for compression and encryption.
compare_file_contents.py: Compare the contents of two files or directories, highlighting differences and similarities.
create_conda_env.py: Create a new Conda environment for a machine learning project, installing common libraries like NumPy, Pandas, and scikit-learn.
encrypt_decrypt_files.py: Encrypt and decrypt files using symmetric or asymmetric encryption algorithms.
generate_data_reports.py: Generate data reports from various data sources (e.g., databases, APIs), with options for customizing the report format and content.
manage_user_accounts.py: Manage user accounts, including creating, modifying, and deleting user profiles.
merge_csv_files.py: Merge multiple CSV files into a single file, with options for handling headers and data types.
monitor_network_traffic.py: Monitor network traffic, including incoming and outgoing connections, with options for filtering and logging.
monitor_process_memory.py: Monitor the memory usage of specific processes, with options for logging and alerting when thresholds are exceeded.
monitor_system_resources.py: Monitor system resources like CPU usage, memory consumption, and disk space, with options for logging and alerting.
organize_files_by_type.py: Organize files in a directory by their file types (e.g., images, documents, videos), creating subdirectories for each type.
password_generator.py: Generate strong, random passwords of a specified length and complexity.
rename_files_in_bulk.py: Rename multiple files in a directory based on a specified pattern or convention.
scan_open_ports.py: Scan a network for open ports on specified hosts or IP ranges.
Usage
For detailed usage instructions, please refer to the individual script files.
Customization
Most scripts offer customization options through command-line arguments or configuration files. Please refer to the script documentation for more details.
Contributing
Contributions are welcome! Please submit a pull request or open an issue to propose changes or additions.
License
This project is licensed under the MIT License - see the LICENSE file for details.
Disclaimer
These scripts are provided "as is", without warranty of any kind. Use them at your own risk.
ShellLM
commented
1 month ago
Curated Python Scripts for Workflow Automation and Productivity Enhancement
A curated collection of Python scripts designed to streamline workflows, improve productivity, and automate repetitive tasks. This repository covers a wide range of areas, including machine learning, automation, data sorting, security, and management.
Warning: Please review each script before running it. Most of these scripts are automated and will ask for user input, but it's good practice to understand what a script does before executing it.
Table of Contents
Prerequisites
Before running the scripts, ensure that you have the following prerequisites installed:
Installation
Clone the repository:
You're ready to use the scripts! Double-click the .bat file and follow the prompts to provide the necessary inputs.
Scripts
backup_files.py: Automate the backup of important files and directories to a local or remote location, with options for compression and encryption.compare_file_contents.py: Compare the contents of two files or directories, highlighting differences and similarities.create_conda_env.py: Create a new Conda environment for a machine learning project, installing common libraries like NumPy, Pandas, and scikit-learn.encrypt_decrypt_files.py: Encrypt and decrypt files using symmetric or asymmetric encryption algorithms.generate_data_reports.py: Generate data reports from various data sources (e.g., databases, APIs), with options for customizing the report format and content.manage_user_accounts.py: Manage user accounts, including creating, modifying, and deleting user profiles.merge_csv_files.py: Merge multiple CSV files into a single file, with options for handling headers and data types.monitor_network_traffic.py: Monitor network traffic, including incoming and outgoing connections, with options for filtering and logging.monitor_process_memory.py: Monitor the memory usage of specific processes, with options for logging and alerting when thresholds are exceeded.monitor_system_resources.py: Monitor system resources like CPU usage, memory consumption, and disk space, with options for logging and alerting.organize_files_by_type.py: Organize files in a directory by their file types (e.g., images, documents, videos), creating subdirectories for each type.password_generator.py: Generate strong, random passwords of a specified length and complexity.rename_files_in_bulk.py: Rename multiple files in a directory based on a specified pattern or convention.scan_open_ports.py: Scan a network for open ports on specified hosts or IP ranges.Usage
For detailed usage instructions, please refer to the individual script files.
Customization
Most scripts offer customization options through command-line arguments or configuration files. Please refer to the script documentation for more details.
Contributing
Contributions are welcome! Please submit a pull request or open an issue to propose changes or additions.
License
This project is licensed under the MIT License - see the LICENSE file for details.
Disclaimer
These scripts are provided "as is", without warranty of any kind. Use them at your own risk.
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