Python data structures course

Intro to Data Structures & Algorithms

Earn a Nanodegree program certificate to accelerate your career.

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Prerequisites

About this course

Technical interviews follow a pattern. If you know the pattern, you’ll be a step ahead of the competition. This course will introduce you to common data structures and algorithms in Python. You’ll review frequently-asked technical interview questions and learn how to structure your responses.

You will answer practice problems and quizzes to test your abilities. Then you’ll practice mock interviews to get specific recommendations for improvement. Be ready for anything a technical interviewer throws at you.

Taught by industry experts

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Intro to Data Structures & Algorithms

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Introduction to Programming

Nanodegree

Udacity’s Intro to Programming is your first step towards careers in web and app development, machine learning, data science, AI, and more. This program is perfect for beginners. Learn more

What you will learn

Introduction and Efficiency

• Basic introduction to topics covered in this course.
• Leand the definition of efficiency as well as an explanation of the notation commonly used to describe efficiency.
• Practice describing efficiency with code snippets.

List-Based Collections

• Learn the formal definition of a list, see definitions and examples of list-based data structures, arrays, linked lists, stacks, and queues.
• Examine the efficiency of common list methods, and practice using and manipulating these data structures.

Searching and Sorting

• Explore how to search and sort with list-based data structures, including binary search and bubble, merge, and quick sort.
• Examine the efficiency of each and learn how to use recursion in searching and sorting.
• See and write examples of these methods, as well as more sorting algorithms like insertion sort.

Maps and Hashing

• Understand the concepts of sets, maps (dictionaries), and hashing.
• Examine common problems and approaches to hashing, and practice with examples of hash tables and hash maps.

Trees

• Learn the concepts and terminology associated with tree data structures.
• Investigate common tree types, such as binary search trees, heaps, and self-balancing trees.
• See examples of common tree traversal techniques, examine the efficiency of traversals and common tree functions, and practice manipulating trees.

Graphs

• Examine the theoretical concept of a graph and understand common graph terms, coded representations, properties, traversals, and paths.
• Practice manipulating graphs and determining the efficiency associated with graphs.

Case Studies in Algorithms

• Explore famous computer science problems, specifically the Shortest Path Problem, the Knapsack Problem, and the Traveling Salesman Problem.
• Learn about brute-force, greedy, and dynamic programming solutions to such problems.

Technical Interviewing Techniques

• Learn about the “algorithm” for answering common technical interviewing questions.
• See how to clarify and explain practice interview questions using the concepts taught in this course, and get tips for giving interviewers exactly what they’re looking for in an interview.

Practice Interview

Prerequisites and requirements

• Proficient in spoken and written English
• Python (intermediate)
• Algebra (intermediate)

See the Technology Requirements for using Udacity.

Why take this course?

The key to successful technical interviews is practice. In this course, you’ll review common Python data structures and algorithms. You’ll learn how to explain your solutions to technical problems. This course is ideal for you if you’ve never taken a course in data structures or algorithms. It’s also a good refresher if you have some experience with these topics. You’ll learn the concepts through video tutorials. You’ll watch experienced engineers review supplementary examples and discuss different interview approaches. Then, apply your skills and practice in mock interviews with Pramp.

Udacity partners with tech industry leaders to bring you the most comprehensive resources for your job search. Join this course if you want to be in the driver’s seat of your job search.

Источник

Python data structures course

Получаемые навыки: Computer Programming, Python Programming, Cloud Computing, Computer Programming Tools, Google Cloud Platform, Information Technology, Leadership and Management, Statistical Programming, Theoretical Computer Science, Computational Thinking, Cloud Management, Cloud-Based Integration, Software Engineering, Software Testing, Algorithms, Application Development, Cloud Platforms, Computational Logic, Data Structures, Entrepreneurship, Mathematical Theory & Analysis, Mathematics, Other Programming Languages, Problem Solving, Programming Principles, Research and Design, Software Engineering Tools

Python Essentials for MLOps

Получаемые навыки: Computer Programming, Python Programming, Statistical Programming, Data Management, Data Structures, Theoretical Computer Science, Applied Machine Learning, Machine Learning

Using Python to Access Web Data

Получаемые навыки: Computer Programming, Python Programming, Data Management, Extract, Transform, Load, Computer Networking, Network Model, Other Programming Languages, Computational Logic, Computer Programming Tools, HTML and CSS, Javascript, Programming Principles, Software Architecture, Software Engineering, Statistical Programming, Web Development

Результаты поиска, связанного с python data structures

10 самых популярных курсов по запросу python data structures

• Python Data Structures: University of Michigan
• Python for Everybody: University of Michigan
• Data Structures and Algorithms: University of California San Diego
• Data Science Foundations: Data Structures and Algorithms: University of Colorado Boulder
• Trees and Graphs: Basics: University of Colorado Boulder
• Python for Data Science, AI & Development: IBM
• Data Processing Using Python: Nanjing University
• Crash Course on Python: Google
• Python Data Structures: Coursera Project Network
• Google IT Automation with Python: Google

Навыки, которые вы можете получить здесь: Data Analysis

Часто задаваемые вопросы на тему Python Data Structures

What are Python data structures? ‎

Python data structures are computer-based data structures written in Python that help users store and organize data, for easy, efficient accessibility later on. These data structures are written in Python programming language, which is seen as an interpretive, object-oriented programming language that allows users to study the fundamentals of data structure in a simpler fashion. Generally, Python uses data types like Boolean, float, and complex, along with data structures that organize data value collections. The main data structures in Python are lists, tuples, strings, dictionaries, and sets. ‎

Why learn Python data structures? ‎

Learning Python data structures can help you understand the relationship of the data sets involved and how to perform data analysis on them. You’ll also gain deeper insights into Python scripting. Computer scientists and data engineers work with many types of data lists and data structures, and the key aspect is to be able to concentrate on the big picture to solve large, complex problems, and not get overwhelmed in the data details. Using Python data structures helps a data scientist accomplish this. ‎

What are typical careers that use Python data structures? ‎

Typical careers that use Python data structures include Python developers, algorithm developers, data structure developers, data visualization developers, full-stack developers, and other similar programming roles. Python is one of the most popular programming languages in game development, smart devices, AI/data science, and big data. ‎

How can online courses help me learn Python data structures? ‎

Taking online courses is an excellent way to learn Python data structures because you will learn Python programming, as well as how to apply it to data structures with lists, tuples, and dictionaries. You will also better understand data science and data analysis when you take online courses that focus on Python data structures. As you learn about Python data structures, you’ll also build up your overall knowledge base for a wide variety of software applications. This educational pursuit can help you in various tech-related professions. ‎

What are the benefits of taking an online Python Data Structures course? ‎

Online Python Data Structures courses offer a convenient and flexible way to enhance your knowledge or learn new Python Data Structures skills. Choose from a wide range of Python Data Structures courses offered by top universities and industry leaders tailored to various skill levels. ‎

What Python Data Structures courses are best for training and upskilling employees or the workforce? ‎

Coursera’s entire course catalog is offered to Enterprise customers with no limitations. Choosing the best Python Data Structures course depends on your employees’ needs and skill levels. Leverage our Skills Dashboard to understand skill gaps and determine the most suitable course for upskilling your workforce effectively. Learn more about Coursera for Business here. ‎

Часто задаваемые вопросы предоставляются в ознакомительных целях. Учащимся рекомендуется дополнительно убедиться в том, что интересующие их курсы и другие материалы соответствуют их личным, профессиональным и финансовым потребностям.

Источник

The University of Michigan: Python Data Structures

The second course in Python for Everybody explores variables that contain collections of data like string, lists, dictionaries, and tuples. Learning how to store and represent and manipulate data collections while a program is running is an important part of learning how to program.

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Python Data Structures

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About this course

This course will introduce the core data structures of the Python programming language. We will move past the basics of procedural programming and explore how we can use the Python built-in data structures such as lists, dictionaries, and tuples to perform increasingly complex data analysis. This course will cover Chapters 6-10 of the textbook «Python for Everybody». This course covers Python 3.

At a glance

• Language: English
• Video Transcript: English
• Associated skills: Collections, Data Structures, Procedural Programming, Python (Programming Language), Data Analysis

What you’ll learn

• How to open a file and read data from a file
• How to create a list in Python
• How to create a dictionary
• Sorting data
• How to use the tuple structure in Python

Источник