Description
Data Structures and Algorithms in Python Course. Developing 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’s a reason why all major tech companies like Google, Amazon, or Netflix focus their technical interviews on these topics. Whether you’re building 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 like they lack the knowledge when it comes to choosing the right data structure or approach to solve a problem. If you’ve ever felt that way, this material is the right choice for you. This course includes months of computer science topics to get you to the same level of competency as someone with a computer science degree. What sets us apart? Each video starts with an in-depth analysis of the topic at hand. At this stage, we won’t be writing any code, but we’ll learn how to approach the problem, think about how to solve it, and create a mental model of the solution. Then, we’ll continue to program the algorithm step by step. But we won’t stop there. We’ll give one or more examples and go through the code line by line. And we mean that literally. You’ll see how code is executed from top to bottom and how data flows and changes during execution. We believe this method is the best way to really understand the inner workings of an algorithm. We’ll also analyze the time performance and space consumption of each algorithm and the method we’ve written using Big-O notation. We’ll discuss the strengths and weaknesses of each data structure and discuss their real-world uses. In addition, you’ll also learn things like recursion, how computers work, problem-solving techniques, common programming patterns, and much more. What does this course include?
- How computers work under the hood
- What is a data structure?
- What is the algorithm?
- Problem-solving techniques
- Big-O Notation – How to analyze the time performance and space consumption of algorithms. This is done for every function/algorithm we write.
- Gain a deeper understanding of how code works
- Come back
Data structures:
- Arrays
- Crisp scales
- Single linked lists
- Doubly linked lists
- stack
- tail
- Binary search trees
- Tree navigation
- the mass
- Diagrams
Sorting algorithms:
- Compilation Category
- Sort selection
- Bubble sorting
- Mussel sorting
- Stack sorting
- Merge, sort
- fast variety
- Root sorting
What you will learn in the course “Data Structures and Algorithms in Python”
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Understanding how computers store and work with data
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Analyze the space and memory usage of each algorithm using Big-O notation
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Dive deep into the mechanics of function execution and decipher the concept of recursion
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9 Implement the most common data structures from scratch
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Learn how 8 well-known sorting algorithms work
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Learn algorithms for searching/traversing trees and graphs
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Improve your problem-solving skills
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Learn basic data structures (arrays and hash maps) behind the scenes.
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Understand common programming patterns
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Learn everything you need to know for a technical interview
This course is suitable for people who
- Self-taught engineers with professional backgrounds in various fields who want to move into the technology industry
- Anyone preparing for a technical interview
- Engineers who want to better master technology, take on better roles and take their careers to the next level.
- Computer science students who want to supplement their studies with alternative learning materials
Data Structures and Algorithms in Python Course Specifications
- Editor: Udemy
- Teacher: Glassbyte Team
- Training level: beginner to advanced
- Training duration: 11 hours and 40 minutes
- Number of courses: 80
Course headings
Prerequisites for the course “Data Structures and Algorithms in Python”.
- Basic coding concepts in any programming language
- No prior knowledge of data structures and algorithms is required
- A computer for practice (Windows, Mac or Linux)
Course pictures
Sample video of the course
installation Guide
After extracting, you can watch it with your favorite player.
Subtitles: None
Quality: 720p
Download link
free download software
Size
2.1GB