{"id":2121,"date":"2026-08-10T08:54:03","date_gmt":"2026-08-10T08:54:03","guid":{"rendered":"https:\/\/nokobox.com\/index.php\/item\/udemy-data-structures-and-algorithms-in-python-2023-9\/"},"modified":"2026-08-10T08:54:03","modified_gmt":"2026-08-10T08:54:03","slug":"udemy-data-structures-and-algorithms-in-python-2023-9","status":"publish","type":"digital_item","link":"https:\/\/nokobox.com\/index.php\/item\/udemy-data-structures-and-algorithms-in-python-2023-9\/","title":{"rendered":"Udemy \u2013 Data Structures and Algorithms in Python 2023-9"},"content":{"rendered":"
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Description<\/span><\/h2>\n

Data Structures and Algorithms in Python course. Building reliable and high-performance software requires knowledge that goes beyond a specific programming language or framework. This requires a thorough understanding of how data is organized in memory, how it can be manipulated, sorted or searched. There is a reason why all the big tech companies like Google, Amazon or Netflix focus their technical interviews on these topics. Whether you\u2019re doing mobile apps, websites, games, machine learning, or anything else that involves coding, you need a good understanding of data structures and algorithms. Many self-taught developers and aspiring engineers often feel that they lack the knowledge when it comes to deciding on the right data structure or the right approach to solving a problem. If you have ever felt this way, this substance is the right choice for you. This course includes months of computer science topics to put you at the same skill level as someone with a computer science degree. What sets us apart? Each video begins with an in-depth analysis of the topic at hand. At this stage we are not writing any code yet, but learning how to approach the problem, think of ways we can solve it, and build a mental model of the solution. Then we continue coding the algorithm step by step. But we do not stop there. We give one or more examples and go through the code line by line. And we mean that literally. You will see how code is executed from top to bottom and how data flows and changes during execution. We consider this method the best way to truly understand the inner workings of an algorithm. We will also analyze the time performance and space usage of each algorithm and the method we write using Big O notation. We will discuss the strengths and weaknesses of each data structure and discuss their real-world uses. Apart from all this, you will also learn things like recursion, how computers work, problem solving techniques, common programming patterns and much more. What does this course include?<\/span><\/p>\n

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