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Top Questions People Ask About Pandas, NumPy, Matplotlib & Scikit-learn — Answered!

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 Whether you're a beginner or brushing up on your skills, these are the real-world questions Python learners ask most about key libraries in data science. Let’s dive in! 🐍 🐼 Pandas: Data Manipulation Made Easy 1. How do I handle missing data in a DataFrame? df.fillna( 0 ) # Replace NaNs with 0 df.dropna() # Remove rows with NaNs df.isna(). sum () # Count missing values per column 2. How can I merge or join two DataFrames? pd.merge(df1, df2, on= 'id' , how= 'inner' ) # inner, left, right, outer 3. What is the difference between loc[] and iloc[] ? loc[] uses labels (e.g., column names) iloc[] uses integer positions df.loc[ 0 , 'name' ] # label-based df.iloc[ 0 , 1 ] # index-based 4. How do I group data and perform aggregation? df.groupby( 'category' )[ 'sales' ]. sum () 5. How can I convert a column to datetime format? df[ 'date' ] = pd.to_datetime(df[ 'date' ]) ...

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Spark: With job postings up 120% year-over-year on Dice, demand for this open-source cluster-computing framework is broad-based. Government contractors and financial-services firms are just a few of the groups eager to find candidates with this skillset.


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Related: SPARK Self Study Materials


Hot Skills: Spark Self Study Materials
Spark


Big Data and Cloud: As companies expand their tech infrastructures, they need cloud and Big Data services such as Azure (#2), Hive (#8), and Cassandra (#9) for data storage, analysis, and security. Big Data and cloud-related skills dominated the Highest-Paid Skills list on Dice’s salary survey for the second straight year. 

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JIRA: JIRA, a project-management platform that’s free for open-source projects and nonprofits, has enjoyed an increasing rate of adoption over the past few years. With software teams always on the lookout for professionals with project management experience, counting JIRA among your core skills is a great way to stand out.

2015 Average Salary: $111,103

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