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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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Smart Cities: 16 Top Job Roles You need to Know

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Why IOT skill you need: There are currently 18.2 billion connections to the internet throughout the world, and this will increase to 50 billion by 2020. The amount of data being transmitted via these connections has grown from 3ZB (3,000,000,000,000,000,000,000 bytes) in 2010 to 10ZB (10,000,000,000,000,000,000,000 bytes) this year, and it is predicted to reach 40ZB (40,000,000,000,000,000,000,000 bytes) by 2020.


IOT for Smart Cities to better use technology:




New Type of Skills


Internet of everything has the potential to reach $19 trillion of value by 2022, and it "has the potential to grow global corporate profits by 21% in 2022".It's exponentially increasing.

In a smart city, "every single sector has to get technology fluent and it has to get digital fluent to drive long-term prosperity,". This is an issue that both the public and private sectors need to get behind and to transform how they think and how to get people ready for the jobs to solve these problems.

"We need new types of skills, new types of talent to make this happen. The agenda of cities is to attract the best companies and the best talent. Innovation, the ability to drive new business, the ability to drive new ways to bridge public and private sectors ... this is all part of the master plan for generating new smart cities,".

Before a city can become a smart city, it needs to first build out infrastructure. And this takes people who have the job skills to make it happen, both building the infrastructure and leveraging the data that is collected from the technology added to a city.

16 Top Job Roles

  1. Robotics specialist
  2. Cybersecurity analyst
  3. 3D print technician
  4. Virtual reality design
  5. Network programmer (SDN)
  6. Machine learning scientist
  7. Industrial network engineer
  8. Customer makers
  9. Neuro implant technician
  10. Digital anthropologist
  11. Platform developer
  12. Business transformation practitioner
  13. Cloud architect
  14. Data scientist
  15. Urban innovation
  16. Urban mechanics
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