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Python Data Basics - Applying Functions

In the 4th class of the free Python Data Basics Data Simple program.  In this free Python class, we discuss the use of user-defined functions.  An incredibly important part of programming and more importantly writing clean Python code.  Any time we notice we start to copy lines of code only making a small change we ask ourselves if could we do this in a loop or a function.  In data science, we commonly use functions to write code in one place but use it many times later on in our workflow.  This is valuable because we will often want to later make changes to our code, if we've been copying and pasting our code we will have to make the change in many places if we've used a Python user-defined function we will only have to make that change in our function and it will take effect every time we use the function in the following code.  This makes writing our own function a very practical skill.  In data science writing our own function and then using them with the Pandas function apply, we apply our user-defined function on our DataFrame.  Using Pandas' apply with our custom functions will give the same flexibility we have to manipulate data in Pandas with Python as we do as using a mouse in Excel.

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Python Data Basics - Applying Functions

Python Why do we need functions?

Free Python Data Why Iterate
why we need funcitons in python free learning

Learn for free why as Data Scientist we need to use functions.  Python is a very flexible language and your purpose for using Python will change how you work the Python code.  Computer scientist will focus on stacking thousand of functions together to create a function.  As data scientist we quite often use functions as stand alone task solvers.  Where each function is to complete the same task many times.  As we get to advanced deep learning techniques we will start stacking functions together like computer scientists but we can start the easy way and learn functions in Python an easier way.

Python Types of Functions

Python Types of Functions
free python data basics when to use user defined functions

In the free Python Data Basics class easily learn how to use Python functions.  There are two types of functions we have access to in Python.  User-defined functions, UDFs, are functions that we can name and easily access and re-use later on in our workflow.  Lambda functions are more of a one time use function that is simple and doesn't have a name.   This can be used to quickly insert a function's operations into your code.   In data science we tend to use named functions so that we can reuse them and because in data science we often need to complete complex task in a function that won't fit into a l

How we use Python Functions in Data Science

python data basics how we use functions python free learn

In the educational independent learning data material in Python, we discuss when and how we use functions in data science.  Traditionally Python has been taught to computer scientists but the way we use Python in data science is different that how computer science would use it.  A computer scientist is concerned with building an application and functions will be stacked together to create this.  Often in data science, we create functions that are used to aid in our data analysis or data preprocessing and are meant to only perform a specific task over and over again.

Python Applying User Defined Function

how to apply functions in pandas python free easy

Learn for free how we most commonly use user-defined functions in our data science projects.  After writing our user-defined function in Python we often use a Pandas function to apply our custom function on the Pandas DataFrame.  Getting good with this technique will allow to to work with data in Python as if we were working with data in a spreadsheet using a mouse.  Getting good with creating our own functions and applying those to a DataFrame will give you a lot of flexibility in your analysis and how you are able to manipulate data.

Explore Python Functions with Free Python Code


In the last section of this free Python Data Basics class we go through the easy Python code in the colab.  In the Python data basics class, we cover how to how to write our own custom functions.  We teach how to use functions while working with data and how Python functions can be used to to manipulate or preprocess.  In this free Python coding walkthrough we show how a the pandas function apply can we use with a Python user defined function to highlight anomalies and but this concept and easily be expanded to many other use cases.

Now that you know Python
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