The Modern Python Challenge
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The Modern Python Challenge

Unlock your coding potential by solving real-world Python exercises.
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0.0 (0 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
3 students enrolled
Created by Packt Publishing
Last updated 6/2020
English
English
Current price: $74.99 Original price: $124.99 Discount: 40% off
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This course includes
  • 6 hours on-demand video
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
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What you'll learn
  • Develop a robust understanding of Python’s modules and data structures
  • Handle databases and various data formats such as XML, JSON, CSV and SQLite
  • Improve your skills working with strings and regular expressions
  • Parse datetimes and timezones Python's module with an emphasis on timezone-related functions
  • Explore and extract insights from the web
  • Discover core concepts of network communication and Python networking
  • Build data scraping tools you can keep hold of, and explore Python libraries like beautifulsoup4 to pull requests easily
  • Explore the world of Design Patterns to expand and enhance your “Python Pro” skills
  • Cover core concepts of network communication, use TCP sockets to create client and server network applications.
Course content
Expand all 73 lectures 05:46:35
+ Implement Data Structures Using the Collections Module
7 lectures 29:53

This video provides an overview of the entire course.

Preview 03:39

In this video, the namedtuple object from the collections module.

   •  Examples of namedtuple

namedtuple
03:27

Use the namedtuple object to keep a rolling list of items.

   •  Demonstrate using some of the methods of namedtuple

Deque
03:36

Use a grouping object and defaultdict to aggregate data.

   •  Demonstration of grouping with collection module

Defaultdict
04:17

Use the collections counter object to group and sort word instances.

   •  Create a counter object for use in determining word frequencies

Counter
04:18

Use several collection objects to set up an application to create character index from a full-length text.

   •  Insatiate objects and define parameters for the application

Setting up a character index application
05:31

Write functions implement and demonstrate the index application.

   •  Write several functions and demonstrate the application

Completing the Character Index
05:05
Test your knowledge
3 questions
+ Data Analysis with Pandas
6 lectures 45:17

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

   •  Look at preliminary examples of Pandas

Preview 10:57

Take a different approach to finding word frequencies with pandas.

   •  Compare getting word frequencies with Pandas and counter

Finding the Most Common Word
04:17

Download and read data in various format with pandas.

   •  Download external data files and read into DataFrames

Reading Data Files
07:22

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

   •  See how to combine data from several DataFrames

Movie Data Analysis
08:13

Use pandas and API to download and manage data.

   •  Demonstrate pandas vectorized operations

Downloading and Transforming Data
07:47

Filter frames to find relevant datasets and conduct basic visualizations.

   •  Filter and display datasets

Filtering Data
06:41
Test your knowledge
2 questions
+ Handling Various Data Formats and Databases
7 lectures 28:18

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

   •  Demonstration of XML basics with Python

Using ElementTree to Parse XML
03:00

Conversion of key value pairs into namedtuple.

   •  Convert data from one form into another

Converting Dict to namedtuple/JSON
02:23

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

   •  Read data and transform into barchart

Parsing a CSV File and Creating a Bar Chart
05:18

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

Using the IPinfo API to Lookup IP Country
02:48

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

   •  Read and transform data from one format into another

Turning Messy CSV into JSON
02:44

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

   •  Demonstrate the SQLite basics

Working with Relational Databases
06:00

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

   •  Demonstrate the SQLite capabilities within Python

Analyzing NBA Data with SQLite3
06:05
Test your knowledge
3 questions
+ Working with Dates and Time Zones
7 lectures 37:42

In this video, we introduce the datetime module.

   •  Overview or major datetime objects

Date and Time Module Overview
05:50

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

   •  Demonstrate built-in datetime formats

Formatting Dates Intermediate Level
03:37

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

   •  Demonstrate reading and isolating data strings for conversion

Parsing and Converting
07:11

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

   •  Further demonstrate datetime functionality

Working Between Time Zones
05:39

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

Humanizing a Date and Time
05:27

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

   •  Demonstration of the timedelta functionality

Calculating Time
06:42

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

   •  Demonstrate finding a specific date with pandas filtering and datetime

Finding a Holiday Date
03:16
Test your knowledge
3 questions
+ Decorators and Context Managers
6 lectures 22:11

In this video, we introduce the decorator.

   •  Get an overview of Python decorators

Introducing the Python Decorator
02:21

Further explore the functionality of decorators.

   •  Write a decorator with required and optional arguments

Writing a Decorator with Arguments
02:55

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

Writing a login_required Decorator
03:35

Another example of data abstraction with number validation.

   •  Write code to validate number using decorator

Writing a Number Validation Decorator Advanced Level
02:22

Overview of the context manager “with”.

   •  Use “with” to execute a block of code

Writing a Context Manager
07:43

Combine context manger and decorator to illustrate common application functionality.

   •  See a demonstration of decorators with context manager

Writing a Retry Decorator
03:15
Test your knowledge
4 questions
+ Working with Itertools Module
6 lectures 31:54

We shall look at zip versus zip_longest.

   •  Look at several examples of zip versus zip_longest from Itertools

Fix a Truncating Zip Function with zip_longest
05:29

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

Calculating the Running Average of a Sequence
04:34

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

   •  Get a demonstration of combinations and permutations

Finding the Number Pairs Summing Up X
03:55

Further explore combinations and permutations to assign team members.

   •  Another application for permutations and combinations

Finding Combinations
03:47

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

Finding Words from the English Language
06:44

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

   •  See a demonstration of grouping and sorting with count

Grouping Data
07:25
Test your knowledge
3 questions
+ Fundamental Concepts in Object-Oriented Programming in Python
6 lectures 37:14

Get an Introduction to creating classes as custom data structures.

   •  Create a basic class

Making a Class and Property
05:52

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

   •  Add the most basic dunder representation methods

Representation Methods
06:51

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

Saving the Object Class
07:22

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

   •  See a demonstration of class inheritance

Subclassing with dict
07:44

A more advanced example of inheritance, demonstrating multiple inheritance.

   •  See a demonstration of inheriting from more than one class

Inheritance
05:29

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

   •  Incorporate decorators into your classes

Advanced Properties
03:56
Test your knowledge
3 questions
+ Writing Regular Expressions in Python
6 lectures 28:54

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

   •  Demonstration of basic RegEx functionality

Overview of Regular Expressions Beginner Level
07:01

Apply regular expression to text to extract digits.

   •  Find digits and substitute with RegEx

Extracting Digits Out of a String Intermediate Level
05:55

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

   •  Demonstrate additional RegEx capabilities

Replacing Characters in a String
02:45

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

   •  Demonstrate capture groups with RegEx

Finding Quotes and Extracting Them from a Text Advanced Level
03:22

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

   •  Write a function validate passwords

Validating Password
05:14

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

Replacing Repeated Words
04:37
Test your knowledge
3 questions
+ Working with Strings in Python
6 lectures 22:49

Overview of basic slicing operations of strings.

   •  Demonstrate String slicing

Slicing Strings Beginner Level
03:22

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

Rotating String Characters
04:12

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

Replacing Characters
02:23

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

   •  See how to remove punctuation from a string

Removing Punctuation Characters from a Longer String
03:15

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

Converting Hexadecimal Numbers to RGB Intermediate Level
06:03

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

Check If Two Strings Are Anagrams
03:34
Test your knowledge
5 questions
+ Web Scraping with Python
6 lectures 27:42

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

   •  Get library installed and demonstrate basic functionality

Introduction to Beautiful Soup Intermediate Level
03:41

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

Viewing Source Code
04:14

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

   •  Isolate all hyperlinks and display as a list

Extracting Hyperlinks from the Source Code
02:53

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

   •  Identify and extract data from a webpage

Get List of the Most Recommended Books
03:50

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

Scraping and Cleaning
09:11

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

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

Editing Webpages
03:53
Test your knowledge
2 questions
Requirements
  • This course has challenges for Python developers and aspiring “Python Pros” of all levels.
Description

Python is one of the most popular and widely used programming languages in a variety of fields such as data science, analysis, gaming, GUI programming, Networking, and more. Are you someone who loves challenges and gets excited about solving them? If you've been using Python for some time and would like to test how good a Python wrangler you are, you've come to the right place!

In this course, you will uncover key Python features and implement them while testing your own ability to solve particular challenges. Each unique problem will not only test your knowledge of the language, but also your ability to think outside of the box and come up with the best solutions.

Our course is divided into levels to help you go from being a beginner to professional level “Pythonista”! And in case you're stumped, you don't have to worry: we'll show you the best solutions to the challenges laid out in the course.

By the end of this course, you will become a confident “Python Pro”, ready to take up any challenge and solve it with your mastery. So, are you up for the challenge?

About the Author

Matthew Macarty currently teaches at Bentley University, USA, and has taught graduate and undergraduate business school students for over 15 years. Teaching a range of topics including statistics, quantitative methods, information systems, and database design.

He has created and implemented tutorials on data analysis and statistics, including educational videos on Python from the last 9 years.

Who this course is for:
  • This course will appeal to Python developers who are interested in solving real-world programming problems.