This course will teach you advanced programming skills in Python and javascript using hands-on examples. By the end of this course you will have an understanding of the following:

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  Advanced Data Structures like Linked Lists, Trees, and Graphs – what try are, why they are used, and how they can be implemented using Python and javascript

  
  


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  Searching and Sorting – how to implement the main searching and sorting algorithms in computer science and the pros and cons of each

  
  


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  All 23 Gang of Four design patterns and how to implement each one in Python and javascript

  
  


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  Professional industry code editors PyCharm and Visual Studio Code and the ability to navigate and code in these programs. Code more efficiently and effectively using these FREE tools!

  
  

Section 1 of this course is the Introduction. We will learn the objectives of the course, download and install Python and javascript code editors, and learn the basic navigation of these programs. After this section you will be ready to dive into the rest of the course material.

Section 2 is Advanced Data Structures. We will learn about linked lists, trees, and graphs, what they are, and how to implement each using Python and javascript. By the end of this section you will be well versed in programming using advanced data structures and have the ability to tackle challenging interview questions about this material.

Section 3 is Searching and Sorting. We will learn about what searching and sorting are and gain a mastery of the most common searching and sorting algorithms in computer science like linear search, binary search, selection sort, bubble sort, quick sort, merge sort, insertion sort, radix sort, head sort, and shell sort. By the end of this section you will have a complete understanding of searching and sorting and be able to implement searching and sorting algorithms using Python and javascript.