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Python CSV Module - Reading Files and Skipping Rows

In this video, we'll learn how to read CSV data from a file into Python applications, using the csv module. We'll learn about the csv.reader object, and the csv.DictReader object. We'll also learn how to skip rows in our file that are not relevant to the data, and how to use the next() built-in and itertools.islice() to skip rows. Finally, we'll quickly demonstrate how easy it is to load CSV data into Pandas DataFrames. ▶️ Full Playlist:    • Python Primers   📌 𝗖𝗵𝗮𝗽𝘁𝗲𝗿𝘀: 00:00 Intro 01:22 Reading file with csv reader 03:15 Reading file with csv DictReader 04:58 Skipping row with next() built-in 07:49 Skipping multiple rows with next() built-in 08:16 Skipping rows with itertools islice function 09:45 Reading CSV file with Pandas ☕️ 𝗕𝘂𝘆 𝗺𝗲 𝗮 𝗰𝗼𝗳𝗳𝗲𝗲: To support the channel and encourage new videos, please consider buying me a coffee here: https://ko-fi.com/bugbytes 𝗦𝗼𝗰𝗶𝗮𝗹 𝗠𝗲𝗱𝗶𝗮: 📖 Blog: https://www.bugbytes.io/posts/ 👾 Github: https://github.com/bugbytes-io 🐦 Twitter:   / bugbytesio   📚 𝗙𝘂𝗿𝘁𝗵𝗲𝗿 𝗿𝗲𝗮𝗱𝗶𝗻𝗴 𝗮𝗻𝗱 𝗶𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻: NOAA Data: https://gml.noaa.gov/ccgg/trends/data... Python CSV module: https://docs.python.org/3/library/csv... itertools.islice: https://docs.python.org/3/library/ite... Pandas read_csv: https://pandas.pydata.org/pandas-docs... #python #csv #pandas