Statistics reveal that 90% of Python users commend the pandas library for data manipulation. Despite its popularity, a new user’s experience suggests that basic statistical analysis, such as summary statistics, can be challenging. The user found that simple aggregations often require extensive coding. Moreover, the syntax of pandas can be confusing. For instance, column names might be placed in parentheses or brackets depending on the function used. Functions can be called directly or enclosed in quotations, adding to the complexity. These observations raise questions about the learning curve and efficiency of pandas compared to other libraries like polars. As the user continues to explore Python, the effectiveness and user-friendliness of pandas remain under scrutiny.
Santiago
@svpino
ยท
Mar 31 This is pure witchcraft!A single line of code makes my Pandas code 5x faster!I don’t have to migrate to a different library or change anything else.The magic happens by patching Pandas with FireDucks, a multi-threaded, compiler-accelerated library with a fully compatible
Bob Belderbos
@bbelderbos
ยท
Apr 16 A common #Polars saying:“๐ ๐๐๐ข๐ ๐๐ค๐ง ๐ฉ๐๐ ๐จ๐ฅ๐๐๐, ๐๐ช๐ฉ ๐จ๐ฉ๐๐ฎ๐๐ ๐๐ค๐ง ๐ฉ๐๐ ๐จ๐ฎ๐ฃ๐ฉ๐๐ญ”I see why now โ it’s ๐ฏ๐ฒ๐ฎ๐๐๐ถ๐ณ๐๐น and ๐ณ๐ฎ๐๐.Switched from Pandas?
Whatโs been your biggest win (or pain)?#Python #Rust #DataAnalytics
Tinz Twins | AI and Coding
@tinztwins
ยท
Apr 15 Wow, it’s approximately 7000 times faster!Large Pandas Dataframes can consume a large amount of memory.It’s fascinating how processing data in smaller chunks can help prevent running out of memory and access data faster!
Sanyam Singhal
@sanyam_singhal_
ยท
Apr 16 Rome wasn’t built in a day.Neither was my love for
@DataPolarsA truly phenomenal tabular data handling framework, leaving Pandas in absolute shamblesDitch pandas and start using polars if you truly wanna do performance maxxing in data analytics in python
Bill Chambers
@bllchmbrs
ยท
Apr 15 One thing that’s awesome about open source and tools that live through generations of tech – simply too many commits to generate a graph…Pandas is a powerful, flexible, and open-source data analysis and manipulation library for Python, providing labeled data structures,
Joachim Schork
@JoachimSchork
ยท
Apr 17 Imagine asking your data questions in plain English and getting instant, code-free answers. With PandasAI, thatโs now a reality!PandasAI is a Python library that adds generative AI to Pandas, allowing users to explore and analyze data sets using natural language instead of
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