Data Analytics and Video Tutorials
A way to learn python through examples that show how better improve your code and python output.
In our first video on python interview questions we discussed some of the high-level questions you may be asked in an interview. In this post, we will discuss interview questions about python dictionaries. So what are Python dictionaries and their properties? First of all, they are mutable, meaning they can be changed, please read on…
Are you working on a data analytics project where you need to feed your data to a location that is able to process an XML file? The ability to get your data into a structured format like XML has many benefits: (A) You can transfer the data to a web service for processing. (B) Multiple…
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Often a lot of data analytics projects involve comparisons, some of it could be to look at data quality problems, other times it could be to check that data you are loading has been saved to the database with no errors. As a result of this, there is a need to quickly check all your…
So you have been presented with the TypeError: ‘float’ object is not callable in Python, but unsure how to fix? Well read on so we can get you a solution. First things an overview of a Float A float is any number that can contain a decimal place separating an integer from the fractions to…
Pandas groupby using column values In this second video how to groupby using pandas and as part of expanding the data analytics information of this website, we are looking to explain how you can use a groupby selection but only using the column values and not the column names. Below we import our data into a…
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In this first video about pandas groupby and as part of expanding the data analytics information of this website, we are looking to explain how you can use a groupby selection to sort your data into similar datasets better so they can be better analysed. In the video below, we import our data into a…
Regular expressions explained Regular expressions are a set of characters usually in a particular sequence that helps find a match/pattern for a specific piece of data in a dataset. The purpose is to allow a uniform of set characters that can be reused multiple times, based on the requirements of the user, without having to…
What are python reserved keywords? When coding in the Python language there are particular python reserved words that the system uses, which cannot be accessed as a variable or a function as the computer program uses them to perform specific tasks. When you try to use them, the system will block them and throws out…
Using a Tkinter input box for your data projects There may be an occasion as you are building out a data science or data analytics project, checks need to be performed on the dataset as follows: Big data sets and speed requirements in conjunction with The need to reduce the volume of data returned is…
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How would you like to present your data analytics work better? When starting your data analytics projects, one of the critical considerations is how to present your results quickly and understandably? Undoubtedly this is true if you are only going to look at the results yourself. If the work you do is a repeatable process,…
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