In our previous letter, we introduced classes and objects as being the blueprint, and the manufactured products or instances. From the context of say cooking, they are the recipe, and actual meals ready to eat. there are some advanced aspects to Python classes, just like professional kitchens are equipped for
I am sure we all have seen how using just one cookie cutter, a bakery is able to make those cookies in bulk. In fact, all car makers are able to setup their production line for manufacturing numerous units of the same make and model- but it all started with
what is a function? it is a block of code, that is reusable. Of course serves a common purpose when it comes to the outcome or output expected. Just like machineries inside a factory, that are fed some resources or raw materials, with the expectation of a more refined product.
the name holds true to its meaning, if the question is what is a loop? Yes it is like circling around the same thing again and again. It is similar to merry go round, where the number of chairs that we start with, is the number of times participants play
Let us understand how data structured are stored in memory by drawing an analogy with apartment units. Consider these apartments units as containers where the data resides. The organization of individual units is similar to how we would like to lay out the data in memory, and of course there
It's time we catch up to three concepts today. Variables, what are these? These are names assigned to locations in memory ie the RAM, where we park some value, with the intention to use it for arriving at certain outcomes. And Operators? symbols that enable us to replicate
In our previous letter we went over how Python acts like a business analyst and helps translate code written in high level language to lowest level machine understandable set of instructions. With machine now coming into the picture, we should understand, how its resources are made use in real time.
Well Python comes in handy for an array of use cases across web development, data science, machine learning, artificial intelligence, and software development. If you are reading this, your only purpose should be to understand how's Python useful to a data engineer? First things first- forget all list
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