📅 2023-01-05 — Session: Optimized Python dictionary parsing and error handling
🕒 09:00–10:00
🏷️ Labels: Python, Data Parsing, Optimization, Error Handling, Visual Studio Code
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The session aimed to enhance Python scripting techniques for parsing dictionary data, optimizing file reading, and handling JSON errors efficiently.
Key Activities
- Explored tools in Visual Studio Code for file comparison, including built-in features and extensions.
- Developed a Python script for parsing dictionary data from DCF files, with a focus on optimization using context managers and list comprehensions.
- Demonstrated parsing of dictionary files using the
pycspro
library, converting data into Pandas DataFrames. - Utilized
json.loads()
for parsing DCF files into Python dictionaries and extracting columns. - Addressed JSONDecodeError by implementing utf-8-sig encoding for parsing raw dictionary variables.
- Discussed optimization techniques for reading CSV files and concatenating them into a single DataFrame using Pandas.
Achievements
- Successfully optimized dictionary parsing and file reading processes in Python.
- Implemented effective error handling strategies for JSON parsing errors.
Pending Tasks
- Further exploration of additional Python libraries for data parsing efficiency improvements.