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  • J R
    PLUS
    J R
    Courses Plus Student 12,168 Points

    My output includes "Length: 56" when I follow along in this video.

    Posted June 12, 2019 7:35pm by J R
    J R
    Courses Plus Student 12,168 Points
    • Python
    • Data Science Basics
    • Cleaning Data
    • Filtering Rows

    0 Answers

  • Sahar Nasiri
    Sahar Nasiri
    7,454 Points

    28 ties

    Posted July 24, 2016 9:06am by Sahar Nasiri
    Sahar Nasiri
    7,454 Points
    • Python
    • Data Science Basics
    • Cleaning Data
    • Filtering Rows

    1 Answer

  • Sahar Nasiri
    Sahar Nasiri
    7,454 Points

    filtered_rows.append(data_sample[0])

    Posted July 24, 2016 8:36am by Sahar Nasiri
    Sahar Nasiri
    7,454 Points
    • Python
    • Data Science Basics
    • Cleaning Data
    • Filtering Rows

    1 Answer

  • karthik nair
    karthik nair
    204 Points

    Problem in working with my_csv.

    Posted May 13, 2016 4:52pm by karthik nair
    karthik nair
    204 Points
    • Python
    • Data Science Basics
    • Cleaning Data
    • Filtering Rows

    0 Answers

  • KAZUYA NAKAJIMA
    KAZUYA NAKAJIMA
    8,851 Points

    "<" should be used?

    Posted May 16, 2015 8:17am by KAZUYA NAKAJIMA
    KAZUYA NAKAJIMA
    8,851 Points
    • Python
    • Data Science Basics
    • Cleaning Data
    • Filtering Rows

    3 Answers

  • xiaoru lin
    xiaoru lin
    401 Points

    One more additional record?

    Posted May 13, 2015 7:28pm by xiaoru lin
    xiaoru lin
    401 Points
    • Python
    • Data Science Basics
    • Cleaning Data
    • Filtering Rows

    0 Answers

  • Kartik Kapoor
    Kartik Kapoor
    256 Points

    b'_silk' vs '_silk'

    Posted April 25, 2015 9:24am by Kartik Kapoor
    Kartik Kapoor
    256 Points
    • Python
    • Data Science Basics
    • Cleaning Data
    • Filtering Rows

    1 Answer

  • Rune Larsen
    Rune Larsen
    25,877 Points

    _silk ?

    Posted April 24, 2015 2:20pm by Rune Larsen
    Rune Larsen
    25,877 Points
    • Python
    • Data Science Basics
    • Cleaning Data
    • Filtering Rows

    1 Answer

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