We have an existing Python-based automation tool and need improvements

@koolvishruth

Hi, I am Python developer with 8 years of experience.I will optimise as requested .Let’s connect to know more

@ducthodg

With over a decade of experience as an MQL4 and MQL5 developer, I have honed my skills in building robust, efficient algorithms that deliver results. Being well-versed in programming languages such as C++, C, Java, VBA, and Python including an Engineering background, I am confident I can significantly enhance your existing Python-based automation tool. Having catered to various trading platforms like Trade Station, Jforex, Amibroker among others in the past, I am not only skillful at revamping your tool for Vasuli (Recovery) entry integration but also in optimizing its performance by reducing the need for reloading pages repeatedly. My proficiency in handling large data floating has been a significant asset throughout my career as an engineer which makes me fully capable of QuickBooks essentials use(Pitch: excuse me). I promise to augment data handling for multiple records while ensuring accuracy and efficiency. Further, I can implement a skip function based on Excel status tracking to avoid repetition - saving valuable time for your team. In addition to delivering the updated version of your automation tool that meets all the project requirements in a timely manner - immediate turnaround being my priority - I also commit to providing you withthe source code and an optimized executable. Let's make your tool work smarter not harder together and bring value to your business.

@SamirBanna

Hello, I’m a Senior Software Engineer with extensive experience in Python automation and web scraping & C# WindowFormApp and WFP. I’ve carefully reviewed your requirements and I can deliver a reliable, production-ready solution — not a quick workaround. ✅ Clean and maintainable code ✅ Clear communication ✅ On-time delivery I’d be happy to discuss your project details and propose the best technical approach. Best regards, Samir

@codewithplusoff

Hi there, I can quickly update and optimize your existing software with the required features, including support for Vasuli (Recovery) entries, resume functionality, Excel-based processed record tracking, and performance improvements to avoid unnecessary page reloads. I’ll also improve handling for multiple records and reduce the final EXE size for smoother deployment. I have solid experience in Python automation, desktop executables, data processing, and performance optimization, especially for tools that work with Excel workflows and repetitive web/system tasks. Accuracy, speed, and stability will be my main focus while implementing the changes. I have already built similar automation apps/scripts before, and I can show relevant examples once you initiate the chat. Ready to start immediately and deliver fast. Best regards, Saifullah Khan

@toqeer74

The current limitation of your Python automation tool, specifically its inability to process Vasuli entries, indicates a need for a robust and scalable enhancement. Implementing a conditional statement to determine the entry type and modifying the processing logic will ensure both Vitran and Vasuli entries are effectively handled. For accuracy, integrating an Excel-based status tracking system will allow for seamless skipping of already processed records. Additionally, implementing lazy loading techniques will significantly improve performance by reducing unnecessary page reloads. I can deliver an updated software package, including optimized code and a streamlined executable, within 7 days. What does success look like for you at the end of this project?

@manoval09

Hi, Your automation tool currently handles Vitran entries, but you're blocked on adding Vasuli (Recovery) support—and you need to skip already processed records to avoid duplicate runs. That's a bounded integration challenge that requires mirroring your existing Vitran pattern but adapted for Vasuli's API and data model. I've built Python automation tools with multi-system integrations and API work. My approach: I'll analyze your existing Vitran handler to extract the pattern, apply it to Vasuli's API endpoints, and implement stateful deduplication logic—using a processed-records store (database table or cache file) so future runs skip anything already completed. This keeps both integrations consistent and adds minimal overhead. Day one: I'll review your codebase, map the Vitran structure to Vasuli requirements, and deliver a working prototype. I'll also set up the skip-logic based on your current state tracking. Quick question—do you have Vasuli API documentation available, or should I reverse-engineer from your logs and system knowledge? Best regards, Val

@josedavidg

Hi there, I have carefully reviewed your requirements for the Python automation tool improvements. I understand that you need to expand its capabilities to include "Vasuli" entries while making the entire process more robust through state tracking and performance tuning. My Technical Approach: Feature Expansion: I will reverse-engineer the existing Vitran logic to seamlessly integrate the Vasuli (Recovery) module, ensuring consistent data mapping and error handling. Smart Tracking & Resume: Using Pandas, I will implement a status-check logic that reads your Excel file at startup. This allows the script to skip finished rows and resume exactly where it left off, saving time and preventing duplicates. Performance Tuning: I will refactor the automation flow to reuse browser sessions and minimize unnecessary page reloads, significantly reducing execution time and resource consumption. Executable Optimization: I will use a clean virtual environment and PyInstaller with specific exclusions (and UPX compression if applicable) to deliver a significantly smaller, high-performance .exe file. I will deliver: The updated and fully tested Python script. Clean, well-documented source code. An optimized, standalone executable (.exe). I am ready to review your current source code and start these improvements immediately. Best regards,