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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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Hadoop Skills Free Video Training

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Are you interested in the world of Big data technologies, but find it a little cryptic and see the whole thing as a big puzzle. The hadoop free video training really useful to learn quickly.

Are you looking to understand how Big Data impact large and small business and people like you and me?
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This course builds a essential fundamental understanding of Big Data problems and Hadoop as a solution. This course takes you through:
  1. Understanding of Big Data problems with easy to understand examples.
  2. History and advent of Hadoop right from when Hadoop wasn’t even named Hadoop.
  3. What is Hadoop Magic which makes it so unique and powerful.
  4. Understanding the difference between Data science and data engineering, which is one of the big confusions in selecting a carrier or understanding a job role.
  5. And most importantly, demystifying Hadoop vendors like Cloudera, MapR and Hortonworks by understanding about them.
What are the requirements
  • Interest in new technical field of Big Data
  • Interest in a new technology: Hadoop.
  • What am I going to get from this course?
  • Over 8 lectures and 44 mins of content!
  • To build fundamental knowledge of Big Data and Hadoop
  • To build essential understanding about Big Data and Hadoop.
What is the target audience
  • Big Data and Hadoop Enthusiast
  • Non-geeks and any one who wants to know about Big Data.

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