Lynda - Get Ready for Your Coding Interview
Lynda - Get Ready for Your Coding Interview
Size: 315 MB | Duration: 1h 51m | Video: AVC (.mp4) 1280x720 15&30fps | Audio: AAC 48KHz 2ch
Genre: eLearning | Level: Intermediate | Language: English
Size: 315 MB | Duration: 1h 51m | Video: AVC (.mp4) 1280x720 15&30fps | Audio: AAC 48KHz 2ch
Genre: eLearning | Level: Intermediate | Language: English
If you've nabbed an interview for a software development position, it's likely that you'll have to face a common hurdle—the coding interview. If you're not sure what to expect, or you'd like to brush up on the essential topics that candidates are often tested on, then this course is for you. Follow YK Sugishita as he explains what to keep in mind as you prepare for coding interviews. YK covers useful concepts that can help you master your interview, followed by practice problems that test what you know. YK reviews key concepts such as two-dimensional arrays, time complexity, Big-O notation, and hash tables. To wrap up, he shares a few tips for acing your interview, such as how to come up with an optimal solution. Even if you're not prepping for an upcoming job interview, tackling the coding problems covered in this course is a great way to sharpen your programming skills.
* Honing your problem-solving skills
* Preparing for a coding interview
* Using Jupyter Notebook for sample problems in Python
* Using arrays to solve interview problems
* Working with and comparing strings
* Using two-dimensional arrays
* Learning the importance of time complexity in code
* Using Big-O notation to describe the time complexity of code
* Using hash tables and Python dictionaries in Python
* Asking clarifying questions during your interview
* Finding the most efficient solutions to problems
* Testing your proposed code solutions
* Preparing for a coding interview
* Using Jupyter Notebook for sample problems in Python
* Using arrays to solve interview problems
* Working with and comparing strings
* Using two-dimensional arrays
* Learning the importance of time complexity in code
* Using Big-O notation to describe the time complexity of code
* Using hash tables and Python dictionaries in Python
* Asking clarifying questions during your interview
* Finding the most efficient solutions to problems
* Testing your proposed code solutions
Lynda - Get Ready for Your Coding Interview
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