pandas Memes

OH. MY. GOD. The absolute AUDACITY of this AI model taking the question SO literally! 🤦‍♀️ Someone innocently asks how to import the pandas library (you know, that LIFE-SAVING Python data analysis package we'd literally DIE without), and this AI goes full dad-joke mode with "visit China or a zoo!" Meanwhile, every data scientist is SCREAMING into their mechanical keyboard: "IT'S JUST import pandas as pd YOU SILICON-BRAINED MONSTER!!!"

The ultimate ADHD trap - an ad promising to replace one dopamine addiction with... *checks notes*... 17 different programming courses that you'll totally finish this time! 🙃 Nothing says "I've conquered my scrolling habit" like starting 36 lessons on Data Analytics that you'll abandon after the first coding high wears off. The irony of using a structured curriculum to fix your executive dysfunction is just *chef's kiss*. Pro tip: You can tell this was made by someone with ADHD because they somehow thought learning Python, R, SQL, NumPy, and pandas simultaneously was a reasonable plan. The only thing missing is "Introduction to Finishing What You Started" - 0 lessons, ∞ hours.

Ah, the classic NumPy paradox: np.nan == np.nan returns False . Because apparently even NaN doesn't want to be associated with itself. Just like that one developer who wrote this code and now refuses to acknowledge it in code reviews. The screaming title perfectly captures that moment when you spend 3 hours debugging only to discover your data analysis is failing because Not-a-Number isn't equal to... itself. It's not a bug, it's a feature – said no data scientist ever.

[text] uCodefinityCom Sign up for the challenge Learn and practice coding online FROM SCRATC Courses Lessons Hours Introduction to Python 64 lessons 7 hours Data Types in Python 34 lessons 4 hours Python Data Structures 31 lessons 3 hours R Introduction 45 lessons 5 hours Introduction to SQL 41 lessons 4 hours Intermediate SQL 21 lessons 2 hours Relational Database and Normalization 12 lessons 2 hours NumPy in a Nutshell 25 lessons 2 hours Pandas First Steps 34 lessons 4 hours Web Scraping with Python 23 lessons 2 hours Visualization in Python with matplotlib 34 lessons 3 hours First Dive into seaborn Visualization 14 lessons 2 hours Conditional Statements in Python 15 lessons 2 hours Python Loops Tutorial 22 lessons 3 hours Probability Theory Basics 26 lessons 3 hours Learning Statistics with Python 38 lessons 4 hours Probability Theory Mastering 26 lessons 3 hours

Content uCodefinityCom Gesponsert Sign up for the challenge LEARN PYTHON FROM SCRATCH 4-WEEK CHALLENGE python 3 soL El pandas N NumPy Introduction to Python 64 lessons Data Types in Python 34 lessons Python Data Structures 31 lessons R for Beginners 45 lessons Introduction to SQL 41 lessons Intermediate SQL 21 lessons Relational Database and Normalization 12 lessons NumPy in a Nutshell 25 lessons Pandas First Steps 34 lessons Web Scraping with Python 23 lessons Visualization in Python with matplotlib 34 lessons First Dive into seaborn Visualization 14 lessons Conditional Statements in Python 15 lessons Python Loops Tutorial 22 lessons Probability Theory Basics 26 lessons 20 25 30 35 40 45 50 55 60 65 70

Content "Our no-code solution lets you easily create data pipelines from a config" The config: BrookLyn Anticapital Habitat Defense Systems "Workflow": "UserTransactionsPipeline", "Instructions": "import pandas as pd", "df pd.readcsv ("USER TRANSACTIONS SNAPSHOT. csv)" "df.dropna(subset'id deprecated 'column9', inplaceTrue)" "df'productcode' df'product . apply (lambda x: x. strip() . lower ())", "df df df ' amount e", "df'occurredat' pd. todatetime (df 'occurredat', errors 'coerce')" "df. tosq1 ('usertransactions", conengine, ifexists'append")"

Content uCodefinityCom Promoted Sign up for the challenge F REPLACE DOOM -SCROLLING WITH NEW CODING SKILLS DAY 2 DAY 3 DAY 4 DAY 5 DAY 6 DAY 7 DAY 8 DAY 9 DAY 10 DAY 12 DAY 13 DAY 14 15 DAY 16 DAY 17 Introduction to Python Data Types in Python Python Data Structures R Introduction Introduction to SQL Intermediate SOL Relational Database and Normalization NumPy in a Nutshell Pandas First Steps Web Scraping with Python Visualization in Python with matplotlib First Dive into seaborn Visualization Conditional Statements in Python Python Loops Tutorial Probability Theory Basics Learning Statistics with Python Probability Theory Mastering 64lessons 34 lessons 31 lessons 45 lessons 41 lessons 21 lessons 12 lessons 25 lessons 34 lessons 23 lessons 34 lessons 14 lessons 15 lessons 22 lessons 26 lessons 38 lessons 26 lessons 20 25 30 35 40 45 50 55 60 65 70 25 30 35 40 50 55 python soL N NumPy El pandas codefinity.com Learn More Vote

Content Halli g iamharaldur I'm very glad they are still around but I don't understand how Pandas didn't go extinct millions of years ago? They seem absolutely clueless. 1:17 19 Mar 23 1.6M Views

Content DATA ANALYST From Zero to Hero in 3 months Introduction to Python Data Types in Python Python Data Structures R Introduction Introduction to SOL Intermediate SOL Relational Database and Normalization NumPy in a Nutshell Pandas First Steps Web Scraping with Python Visualization in Python with matplotlib First Dive into seaborn Visualization Conditional Statements in Python Python Loops Tutorial Probability Theory Basics Learning Statistics with Python Probability Theory Mastering python soL 64 lessons 34 lessons 31 lessons 45 lessons 41 lessons 21 lessons 12 lessons 25 lessons 34 lessons 23 lessons 34 lessons 14 lessons 15 lessons 22 lessons 26 lessons 38 lessons 26 lessons 7 hours 4 hours 3 hours 5 hours 4 hours 2 hours 2 hours 2 hours 4 hours 2 hours 3 hours 2 hours 2 hours 3 hours 3 hours 4 hours 3 hours 1 NumPy Al pandas ProarammerHumor.io