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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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AWS Certified Developer: Eligibility Criteria

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The below is complete eligibility criteria is as follows- One or more years of hands-on experience designing and maintaining an AWS-based application.

In-depth knowledge of at least one high-level programming language. Understanding of core AWS services, uses, and basic architecture best practices.
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Proficiency in designing, developing, and deploying cloud-based solutions using AWS.

Experience with developing and maintaining applications written for Amazon Simple Storage Service, Amazon DynamoDB, Amazon Simple Queue Service, Amazon Simple Notification Service, Amazon Simple Workflow Service, AWS Elastic Beanstalk, and AWS CloudFormation.







Related: AWS Basics for Software Engineer

The requirement for Developer Exam

  • Professional experience using AWS technology
  • Hands-on experience programming with AWS APIs
  • Understanding of AWS Security best practices
  • Understanding of automation and AWS deployment tools
  • Understanding storage options and their underlying consistency models
  • Excellent understanding of at least one
  • Understanding of stateless and loosely coupled distributed applications
  • Familiarity developing with RESTful API interfaces
  • Basic understanding of relational and non-relational databases
  • Familiarity with messaging & queuing services These training courses or other equivalent methodologies will assist in exam preparation:
  • Developing on AWS (aws.amazon.com/training/developing)
  • In-depth knowledge or training in at least one high-level programming language

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Comments

  1. infosavvy0July 29, 2020 at 5:20 PM

    Nice post! It is really very helpful for us. If anyone want to know the details about AWS

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