One Week Python

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One Week Python. A Quick and Effective Way To Learn Python, Made For Busy People. There are many resources available to help you learn Python. One option is to take a free course online. These courses are typically designed for busy people who want to learn the language quickly. They are usually well-organized and provide ample support materials.

Mastering modern Python fundamentals can be a big help when building complex applications or working with large data sets. This free online course from Code Academy will get you up to speed on the most important aspects of the Python language, in just 10 weeks. You will learn how to create and use objects, control flow, and data structures, as well as build basic algorithms.  Once you have a strong understanding of Python, you can move on to more complex programming languages like Java or JavaScript.

Python has a rich library of third-party libraries and modules that can be used for a variety of purposes. These libraries and modules can make development faster and easier, and they can be accessed from the Python interpreter or from various programming languages. Some of the most popular Python libraries and modules include those used for data analysis, machine learning, web development, scientific computing, and more.

One Week Python Course

This course will teach you the basics of Python, including variables, data structures, object-oriented programming, and modules. You’ll also learn how to use libraries like pandas, flask, scikitlearn, and Django. This course provides you with the opportunity to complete dozens of exercises, quizzes, and projects that will help you better understand the material you are studying. Our program is designed to help you learn and retain the information you are learning, so be sure to sign up today

You will Learn

  • Master modern Python fundamentals as quickly as possible
  • Learn the Python you need to move on to Data Science or Web Development
  • Work with 3rd party Python libraries and modules
  • Complete dozens of exercises, quizzes, and projects
  • You’ll learn to code with Python while staying sane!

This course is the p1erfect first step into the world of data science, web dev, machine learning, or any other discipline that requires Python knowledge.

As an in-person coding boot camp instructor, I created this course to keep you engaged the entire way through.  It’s full of exercises, quizzes, challenges, and projects.  The slides, diagrams, and cheatsheets were painstakingly designed to help you visualize the tricky concepts.  There are no 20-minute monster videos in this course; the average video is only 4 minutes long.  Everything about this course has been designed to make it actually completable!

Best Python Course

This course covers all the Python essentials you need: everything from variables to data structures to object-oriented programming and modules. You’ll fill up your Python toolbox so you can go on and tackle libraries like pandas, flask, scikitlearn, django, and more.

What this course is not:  This course is not a complete guide to every single possible feature in the Python language.  It focuses on the 80% that is absolutely critical and worth your time, but there are other (much longer) courses that are more akin to Python textbooks that take the time to cover every feature.  In fact, I created one of those courses, and it happens to be 40 hours long! 

As someone who has both created and purchased massive Udemy mega Bootcamp courses, I know they are still the standard format on the platform, but maybe it’s time for something a bit more human and engaging. I thought it was worth a try at least.

Here’s a detailed breakdown of what we cover:

  • Painless installation for all platforms and users
  • Working with numbers
  • Python variables
  • Strings and string methods
  • Booleans
  • Conditional Logic
  • Boolean Logic
  • Loops
  • Functions
  • Scope
  • Lists
  • Dictionaries
  • Sets
  • Tuples
  • *args and **kwargs
  • Working with errors
  • Custom modules
  • 3rd party modules
  • PIP
  • Object Oriented Programming
  • Classes
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