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Articles by Aaron E. Maxwell
For tax deed investing.what apps do I need to get organized?
Forum Categories All Member since 2017 · 125 posts · 37 votes What apps should I use for setting up a system to invest in tax deeds? Do I need a CRM and a acquisition manager? Do I really need to know how to work excel spreadsheet to the T or just basics? Should I use propstream? I want to contact the owners of tax deeds /pre foreclosure before they hit the auction block. I am creating a tax deed detailed due diligence check list. Is there anyone experienced in this field?
Refined Epitaxial Growth of YbRh2Si2 Thin Films
Epitaxial thin films of the heavy fermion compound YbRh2Si2 have opened new possibilities in the investigation of the enigmatic strange metal state, including terahertz transmission spectroscopy and shot noise. For experiments at lower temperatures and energies, further advances in film quality are desirable.
Contacting owners about buying property
Skip to content × Pro Members Get Full Access! Get off the sidelines and take action in real estate investing with BiggerPockets Pro. Our comprehensive suite of tools and resources minimize mistakes, support informed decisions, and propel you to success. Advanced networking features Market and Deal Finder tools Property analysis calculators ANNUAL Save 16% $32.50 /mo $390 billed annualy MONTHLY $39 /mo billed monthly 7 day free trial.
Tax Deed Sales compared to Foreclosures FL
Hi Annastasia, To start off, no—it’s not exactly the same process as a foreclosure or sheriff sale. In Florida, the process begins with the sale of a tax certificate, not the property itself. When someone doesn’t pay their property taxes, the county sells that tax debt to investors in the form of a certificate. That certificate accrues interest, which is repaid either when the property owner redeems the debt or, if they don’t, when the property eventually goes to a tax deed auction.
hiring a VA for tax deed and foreclosure data log
Hi is there anyone that can help me fine tune how to train a VA to create a data log spreadsheet in excel. My budget is 1,500- 5k for land with equity and up to 40k for homes. I kinda got it but I think I am stuck in analysis paralysis trying to be perfect. I use chp gpt for help but there is nothing greater than someone with experience.
Virtual assistant template
Hi BP community, I recently created a spreadsheet template and workflow for my virtual assistant to help me filter and organize tax deed and foreclosure properties based on my investment criteria. The goal is to have the VA pre-screen properties and input key details into the spreadsheet so I can easily sift through and cherry-pick the ones that fit my buy box.
How to get ahead of the crowd
Pro Members Get Full Access! Get off the sidelines and take action in real estate investing with BiggerPockets Pro. Our comprehensive suite of tools and resources minimize mistakes, support informed decisions, and propel you to success.
Virtual assistant for data login
Has anyone used a virtual assistant to login data into a Excel spreadsheet like for instance, if I'm interested in foreclosure can I give to virtual assistant the websites that I want to look into and have them log the information as far as how much the bid amount I am willing to go up to. And they place it in order and then I do the cold calling? And is prop wire worth it or is it better to just pay for propstream.
Opening bids or tbd
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Automated marketing systems
#3 All Forums Contributor Lender from The Woodlands, TX Member since Jul 24, 2009 Posts 6,016 Votes 9,400 Experience 45 Yrs Investments 1 6,016 Posts 9,400 Votes #3 All Forums Contributor Lender from The Woodlands, TX Member since Jul 24, 2009 Posts 6,016 Votes 9,400 Experience 45 Yrs Investments 1 Don Konipol #3 All Forums Contributor Lender The Woodlands, TX 9,400 Votes | 6,016 Posts We use Mailchimp to sent out 15,000- 20,000 emails monthly.
Comparing UNet configurations for anthropogenic geomorphic feature extraction from land surface parameters
Loading metrics Open Access Peer-reviewed Research Article Citation: Farhadpour S, Maxwell AE (2025) Comparing UNet configurations for anthropogenic geomorphic feature extraction from land surface parameters. PLoS One 20(6): e0325904. https://doi.org/10.1371/journal.pone.0325904 Editor: Xiaoyong Sun, Shandong Agricultural University, CHINA Received: February 5, 2025; Accepted: May 21, 2025; Published: June 10, 2025 Copyright: © 2025 Farhadpour, Maxwell.
Title search/title search for newbies
@Paul M. Rule #1 is you need to know the position of the lien being foreclosed. If you have access to tax, judgment and land records, you can learn how to do a sufficient title search yourself. Clerks will be of little help and foreclosure notices do not indicate lien priority. If you cannot do a title search, you either need to pay a pro or you need to stay away from foreclosures. Good luck.
An analysis of qualifications and requirements for geographic information systems (GIS) positions in the United States
CONFLICT OF INTEREST STATEMENT The authors declare no conflict of interest. REFERENCES , , , & (2022). Applications of GIS and geospatial analyses in COVID-19 research: A systematic review. F1000Research, 9, 1379. https://doi.org/10.12688/f1000research.27544.2 , , , , & (2016). The future role of GIS education in creating critical spatial thinkers. Journal of Geography in Higher Education, 40(3), 394–408. https://doi.org/10.1080/03098265.2016.1144729 , & (1998).
Selecting and Interpreting Multiclass Loss and Accuracy Assessment Metrics for Classifications with Class Imbalance: Guidance and Best Practices
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
Synthetic Forest Stands and Point Clouds for Model Selection and Feature Space Comparison
1. Introduction Forests are one of the most biologically diverse terrestrial ecosystems globally. Consequently, they play a vital role in ecosystem processes, support numerous biological communities, offer a wealth of natural resources, and mitigate climate change through carbon sequestration and storage [1,2,3]. Furthermore, their physical attributes, including the quantity and arrangement of their biomass, influence how wildfires behave in natural areas [4,5].
Exploring the Influence of Input Feature Space on CNN‐Based Geomorphic Feature Extraction From Digital Terrain Data
Models and Implementation The model training and validation processes are conceptualized in Figure 4. Once available chips were partitioned into separate and non-overlapping training, validation, and testing sets, three separate semantic segmentation architectures were trained for all use cases: DeepLabv3+, UNet, and UNet++. Multiple architectures were tested to further generalize the findings of the study.
Impact of Reference Data Sampling Density for Estimating Plot-Level Average Shrub Heights Using Terrestrial Laser Scanning Data
4.2. Impact of Number of Shrub Height Measurements and Phenology on Model Performance Figure 4 shows the predicted shrub heights for each plot when using all 40 field samples to estimate the mean shrub height. As described above, each site was predicted using a model trained with all other available plots.
How Python syntax works beneath the surface
In this excerpt from his Oriole online tutorial, Aaron Maxwell uses the Panda’s library to illustrate how Python’s syntax, which lets classes define how they behave when used with built-in binary operators like less-than (<), allows you to create custom, easy-to-use interfaces. Register for Aaron Maxwell's online trainings on Safari: Python: Beyond the Basics and Python: The Next Level. You’ll learn skills to amplify your code and master Python’s most powerful traits and features.
2 great benefits of Python generators (and how they changed me forever)
I had no idea how important it would turn out to be. It changed the way I wrote software forever, in every language. By "it," I mean a Python construct called generators. It’s hard to convey everything they can do for you in a few words; you’ll have to keep reading to find out. In a nutshell: they help your program efficiently scale, while at the same time providing delightful encapsulation patterns. Let me explain.
5 reasons you need to learn to write Python decorators
Python decorators are so easy to use. Anyone who knows how to write a Python function can learn to use a decorator: But writing decorators is a whole different skill set. And it’s not trivial; you have to understand: Writing even the simplest decorators is an intermediate skill set, taking significant time to understand and master. Is it worth it? You already have a backlog of things to learn. Is learning to write decorators worth your time?
Assessing landform alterations induced by mountaintop mining
A comprehensive impact analysis of mountaintop removal and valley fill (MTR/VF) mining requires an understanding of landform alterations since ecological impacts are so intricately linked. In this study we investigated mining in the Coal River Watershed, West Virginia, USA, using landform terrain analysis. Previous studies have relied on elevation differencing of preand postmining surfaces to assess absolute elevation and volumetric change.
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