The Modern Python Challenge

In this video, we introduce the Pandas data analysis library.

   •  Look at preliminary examples of Pandas

Take a different approach to finding word frequencies with pandas.

   •  Compare getting word frequencies with Pandas and counter

Download and read data in various format with pandas.

   •  Download external data files and read into DataFrames

In this video, we further explore the capabilities of pandas.

   •  See how to combine data from several DataFrames

Use pandas and API to download and manage data.

   •  Demonstrate pandas vectorized operations

Filter frames to find relevant datasets and conduct basic visualizations.

   •  Filter and display datasets

In this video, we introduce the ElementTree to parse XML.

   •  Demonstration of XML basics with Python

Conversion of key value pairs into namedtuple.

   •  Convert data from one form into another

Open and read CSV data into Python and use the resulting data structures to create a visual.

   •  Read data and transform into barchart

Download and install the IPinfo library and use it to determine information about internet connections.

   •  Use IPinfo and its free API key to get useful information about a network connection

Read CSV and create function to convert the data into JSON.

   •  Read and transform data from one format into another

Import and use the SQLite library to create various forms of external databases.

   •  Demonstrate the SQLite basics

Take a deeper dive into SQLite writing and executing SQL within Python.

   •  Demonstrate the SQLite capabilities within Python

In this video, we introduce the datetime module.

   •  Overview or major datetime objects

Take a datetime and convert it into various components for string printout.

   •  Demonstrate built-in datetime formats

Read string dates out of a file and convert to datetime objects.

   •  Demonstrate reading and isolating data strings for conversion

Use datetime functionality to determine and arrange common meeting times across time zones.

   •  Further demonstrate datetime functionality

Download and install the humanize module to display dates and times in human readable format.

   •  Use humanize to display common dates and time in human colloquialisms

Use timedelta to calculate how much time has passed between two events.

   •  Demonstration of the timedelta functionality

Use a calendar and pandas to calculate the exact day any holiday occurs on.

   •  Demonstrate finding a specific date with pandas filtering and datetime

In this video, we introduce the decorator.

   •  Get an overview of Python decorators

Further explore the functionality of decorators.

   •  Write a decorator with required and optional arguments

Use a decorate to abstract way necessary logic involved with logging into a system.

   •  Write a short application to display content to a logged in user

Another example of data abstraction with number validation.

   •  Write code to validate number using decorator

Overview of the context manager “with”.

   •  Use “with” to execute a block of code

Combine context manger and decorator to illustrate common application functionality.

   •  See a demonstration of decorators with context manager

We shall look at zip versus zip_longest.

   •  Look at several examples of zip versus zip_longest from Itertools

Use Itertools functionality to create a running sequence. In this case, a running average of read data.

   •  How to use Itertools to calculate running average

Use combinations and permutations to sum generate and sum two number combinations.

   •  Get a demonstration of combinations and permutations

Further explore combinations and permutations to assign team members.

   •  Another application for permutations and combinations

Draw a random sample of letters and find all dictionary words at least three letters long.

   •  Use a dictionary and perform permutations to find English words

Create car data storage object and read it into a frequency table type structure.

   •  See a demonstration of grouping and sorting with count

Get an Introduction to creating classes as custom data structures.

   •  Create a basic class

Add commonly used “dunder” functions to your class to represent objects.

   •  Add the most basic dunder representation methods

In this video, we shall look at how to store the state of an object beyond a single application run using pickle.

   •  Save an object state with pickle

Explore extending built-in object types. In this case, the dict to create classes that inherit functionality.

   •  See a demonstration of class inheritance

A more advanced example of inheritance, demonstrating multiple inheritance.

   •  See a demonstration of inheriting from more than one class

In this video, we see how to write an advanced property with a decorator.

   •  Incorporate decorators into your classes

In this video, we introduce regular expressions as a powerful tool in text processing.

   •  Demonstration of basic RegEx functionality

Apply regular expression to text to extract digits.

   •  Find digits and substitute with RegEx

Learn more about using regular expression to extract target strings or data.

   •  Demonstrate additional RegEx capabilities

See how to read a block of text and capture text between quotation marks.

   •  Demonstrate capture groups with RegEx

Implement a simple password validator that verifies a password meets certain conditions.

   •  Write a function validate passwords

Combine the power of regex with native Python string functionality to write a find and replace application.

   •  Use regex and string functionality to implement find and replace

Overview of basic slicing operations of strings.

   •  Demonstrate String slicing

See several methods of reversing a string and rotating a specified number of characters from either end of the string.

   •  Extend slicing to include reversing and rotating

In this video, we look at some of the String methods to find and replace much more simply than previously demonstrated.

   •  Demonstrate String method for find and replace

See how to process a string by removing punctuation to ease text analytics.

   •  See how to remove punctuation from a string

Take an RBG String and convert it to hexadecimal using little known functionality between the string and int objects.

   •  Write a function to convert from one color system to another

Combine the power of RegEx with native Python String functionality to write a find and replace application.

   •  Use RegEx and tring functionality to implement find and replace

Overview of the web scraping library Beautiful Soup (BS).

   •  Get library installed and demonstrate basic functionality

Use the requests library in conjunction with BS to download and write source HTML from a website.

   •  Download and pretty print HTML into readable format

Use the BS object to identify elements of interest and isolate them.

   •  Isolate all hyperlinks and display as a list

Find a list of recommended books on a website and identify and extract the relevant data.

   •  Identify and extract data from a webpage

See an alternative method for identifying and extracting data from a complex webpage, using BS to extract a list of Stock in the S&P 500.

   •  Demonstrate method to identify elements of interest in a webpage

Use Beautiful Soup and String capabilities to write scripts that automate webpage updating.

   •  Demonstration of using Beautiful Soup to do something other than scraping