amrutnrp · December 1, 2025 02:18 · Dec 1, 2025
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+
+# Best Known Methods (BKM) - for Python App development
+
+Afte years of development in python, here are my go-to approaches for building any (desktop/ web) application.
+
+
+
+### Framework / Structure 
+```
++----------------------------+--------------------------------+
+|  UI and File Management    | User management (if web-hosted)|
++----------------------------+--------------------------------+
+           |              |            
+           v              v            
++--------------+     +-------------+   
+| Extraction / | --> | Processing  |  
+| Compaction   |     |             |   
++--------------+     +-------------+   
+           |              |            
+           v              v         
++-------------------------------------------+
+|       Subroutines / Small Functions       |
++-------------------------------------------+
+```
+
+### **Extract the Input files when**
+- Big files requiring heavy libraries (e.g., Excel, SnP, PDF)
+- Files needing asynchronous handling (e.g., large CSV files and frequently cross-referenced)
+- Files with sparse data (e.g., sparse matrices)
+- Extract files into smaller-sized data objects
+---
+
+### **Data Storage**
+- Extract and store in a lightweight, easily accessible format (e.g., **Pickle**)
+- Trim the data: keep it **small, compact, and accurate**
+- Ensure **data writing** is reliable and error-free
+
+---
+
+
+
+### **Encapsulation**
+- Use **objects** for encapsulating data when:
+  - Input and processing are **large**
+- e.g. - classes, import-able files in python
+
+---
+### **Modular Code**
+- break tasks into as many moderately sized chunks as possible
+- Helps in debugging
+- Lets user focus on only one section, instead of getting overwhelmed
+- use subprocess, functions/subroutines
+
+
+
+---
+
+### **Use Web-Hosted Apps When**
+- Tasks require **small execution time** but depend on **large libraries**
+- Libraries are **not supported on all PCs** (e.g., ARM Windows)
+
+
+---
+### **Processing Considerations**
+- If processing takes a long time - Show a **progress bar** to keep the user informed
+
+---
+
+
+### **Use Deterministic Programming When**
+- Data is **sensitive** and impacts **cost or timeline**
+- Always **ask the user to verify the data**
+
+
+---
+
+
+
+
+### **When to use AI**
+- Use **AI** for:
+   - For quick access to tutorials
+   - Verify approaches and ideas
+   - Understanding and implementing new domains (libraries, languages)
+   - For new trends, explore forums and experiment
+
+---
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