Today, we will walk through some of the fundamentals of Pandas and use a variety of commands. It helps people move beyond just using Excel for data analysis." He says, “I tell them that it enables people to analyze and work with data who are not expert computer scientists.You still have to write code, but it’s making the code intuitive and accessible. The creator of Pandas, Wes McKinney, crated the tool to help all forms of analysts. Pandas has become one of the most popular tools in all of computer science, account for almost 1% of all Stack Overflow questions since 2017. It also has data cleaning functions useful to remove incomplete entries (NULL values), and is able to join data sets together for more comprehensive presentation. It also has sets of statistical commands to get averages, sums, medians, etc. csv files or SQL databases and can help extract data based on a meaningful range of values and/or indices. Without them, many programs would be significantly larger and repetitive, and saves end-users time to complete assignments.
Python libraries help save time by giving you pre-written code! We recycle previously created functions to save us time for setting up our powerful data analysis tools. Python is heavy on English-language syntax to promote a low learning curve and to enhance the average end-user experience Python helps automate or heavily reduce the work necessary to present the relevant data set.
In large datasets, it can be very difficult to extract the necessary information by hand.
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