2020-08-13 10:00:20 +00:00
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---
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id: 5e9a093a74c4063ca6f7c161
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challengeType: 11
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videoId: cDnt02BcHng
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2021-01-13 02:31:00 +00:00
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dashedName: reading-data-introduction
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2020-08-13 10:00:20 +00:00
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---
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2020-12-16 07:37:30 +00:00
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# --description--
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2020-08-13 10:00:20 +00:00
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More resources:
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2020-12-16 07:37:30 +00:00
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\- [Reading CSVs Notebook](https://notebooks.ai/rmotr-curriculum/rdp-reading-csv-and-txt-files-fb829f46)
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2020-08-13 10:00:20 +00:00
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2020-12-16 07:37:30 +00:00
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\- [Reading SQL](https://notebooks.ai/rmotr-curriculum/rdp-reading-data-from-relational-databases-2a3a889b)
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2020-08-13 10:00:20 +00:00
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2020-12-16 07:37:30 +00:00
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\- [Reading HTML](https://notebooks.ai/rmotr-curriculum/rdp-reading-html-tables-eb9cca73)
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2020-08-13 10:00:20 +00:00
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2020-12-16 07:37:30 +00:00
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\- [Reading Excel files](https://notebooks.ai/rmotr-curriculum/rdp-reading-excel-files-a6b99973)
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2020-08-13 10:00:20 +00:00
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2020-12-16 07:37:30 +00:00
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# --question--
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2020-08-13 10:00:20 +00:00
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2020-12-16 07:37:30 +00:00
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## --text--
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2020-08-13 10:00:20 +00:00
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2020-12-16 07:37:30 +00:00
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Given a file named `certificates.csv` with these contents:
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2020-08-13 10:00:20 +00:00
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2020-12-16 07:37:30 +00:00
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```
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Name$Certificates$Time (in months)
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Tom$8$16
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Kris$2$5
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Ahmad$5$9
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Beau$6$12
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```
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2020-08-13 10:00:20 +00:00
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2020-12-16 07:37:30 +00:00
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Fill in the blanks for the missing arguments below:
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2020-08-13 10:00:20 +00:00
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2020-12-16 07:37:30 +00:00
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```py
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import csv
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2020-08-13 10:00:20 +00:00
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2020-12-16 07:37:30 +00:00
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with open(__A__, 'r') as fp:
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reader = csv.reader(fp, delimiter=__B__)
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next(reader)
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for index, values in enumerate(reader):
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name, certs_num, months_num = values
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print(f"{name} earned {__C__} certificates in {months_num} months")
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```
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2020-08-13 10:00:20 +00:00
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2020-12-16 07:37:30 +00:00
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## --answers--
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2020-08-13 10:00:20 +00:00
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2020-12-16 07:37:30 +00:00
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A: `'certificates.csv'`
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2020-12-16 07:37:30 +00:00
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B: `'-'`
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C: `values`
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---
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A: `'certificates.csv'`
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B: `'$'`
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C: `certs_num`
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---
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A: `'certificates'`
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B: `'$'`
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C: `certs_num`
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## --video-solution--
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2
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