Debugging

 

 


 

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Jun 26th 2017

Not all programs are created equal. In this course, we'll focus on writing quality code that runs correctly and efficiently. We'll design, code and validate our programs and learn how to compare programs that are addressing the same task.

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Jun 26th 2017

In this course you will learn how to program in R and how to use R for effective data analysis. You will learn how to install and configure software necessary for a statistical programming environment and describe generic programming language concepts as they are implemented in a high-level statistical language. The course covers practical issues in statistical computing which includes programming in R, reading data into R, accessing R packages, writing R functions, debugging, profiling R code, and organizing and commenting R code. Topics in statistical data analysis will provide working examples.

Average: 5.6 (24 votes)
May 30th 2017

A new and updated introduction to computer science as a tool to solve real-world analytical problems using Python 3.5

Average: 4.1 (10 votes)
May 23rd 2017

Learn how to diagnose and debug issues that can arise in your MongoDB deployment. This course will go over a set of scenarios you might find in production, and introduce you to many of the tools and functionality that MongoDB's support and field teams use to diagnose issues, and how to fix those problems once they're identified.

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May 15th 2017

Learn the fundamentals of object-oriented programming in Java, as well as best practices of modern software development. Software developers are in high demand in the current job market, and computer programming is a prerequisite skill for success in this field.

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Mar 21st 2017

This is an advanced course for operations staff and others interested in administering MongoDB deployments. It is a deeper dive into many of the topics of M102: MongoDB for DBAs and several additional subjects.

Average: 5.9 (10 votes)
Self Paced

Learn to program in an easy and interactive way and enter the fascinating world of computer science. This is an introductory course to learn programming with Java in an easy and interactive way. This course is designed taking into account the subset and recommendations of the College Board in order to prepare learners for the Advanced Placement (AP) Computer Science A exam. The course is divided in three parts of five weeks each.

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Self Paced Course - Start anytime

In this class you will learn how to debug programs systematically, how to automate the debugging process and build several automated debugging tools in Python.

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