Python Data Structures Coursera Github

Coursera provides universal access to the world’s best education, partnering with top universities and organizations to offer courses online. We have released a new learning path for people like you. The Data Scientist of the Future. I look forward to the next section of this 5 part Python for Everybody course on Coursera, where I expect to be more challenged than in the first part (Getting Started with Python). Developer skilled with in Python, Django, Flask, REST, Websocket, SQLAlchemy, Celery, Redis, Selenium and Google Cloud Platform. Data Structures and Performance, University of California, San Diego, 2nd course in Object Oriented Java Programming: Data Structures and Beyond Specialization. Bhaskar has 3 jobs listed on their profile. vinta/awesome-python 34812 A curated list of awesome Python frameworks, libraries, software and resources jakubroztocil/httpie 29976 Modern command line HTTP client - user-friendly curl alternative with intuitive UI, JSON support, syntax highlighting, wget-like downloads, extensions, etc. SUMMARY: This week wraps up our discussion of data structures. github guide here. I've been learning about algorithms and abstract data structures as part of my faking a CS degree personal mission. It is not recommended to start with TensorFlow as a beginner, you might get lost with the data-structures. Learn Algorithms with Python In this post, I will show you some Python modules and resources which can help you learn "Data Structures and Algorithms" with Python as a beginner. About Data Structures and Algorithms. What is the difference between a Python tuple and Python list? Lists are mutable and tuples are not mutable Lists are indexed by integers and tuples are indexed by strings Lists maintain the order of the items and tuples do not maintain order Tuples can be expanded after they are created and lists cannot 2. The course will also introduce data manipulation and cleaning techniques using the popular python pandas data science library and introduce the abstraction of the DataFrame as the central data structure for data analysis. 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. Tensorflow programming Unity Android Bootstrap Lazy Programmer Inc. 3 based course. Curiosity and passion for discovery have provided exposure to numerous industries while serving in management and consulting roles. Coursera's 2018 revenue estimated to be $140M, Udacity CEO steps down, edX announces 7 new MOOC-based degrees, and more. No, Andrew’s Coursera course is very simple and serves as very basic stepping stone (albiet good for a MOOC!) for anyone who’s interested in ML (though I would recommend anyone to start with Abu Mustafa’s course - you actually understand “the whats and the whys”). Java Programming: Arrays, Lists, and Structured Data. 9 Top 10 Data Science Resources on Github 0. Here are a few :- Useful Links Java - Data Structures Algorithms and Data Structures with Java and C++ implementations Data Stru. Courses are categorized according to start dates into Recently Started, Just Announced, Upcoming, Self Paced, Ongoing, and Finished. Coursera does not having proper support systems like good quality forums/any mentorship/project reviews. If you are new to programming or want to improve your empirically acquired skills, I would highly recommend the Python Specialization offered by the University of Michigan on Coursera. A min-heap supports two operations: INSERT(heap, element) element REMOVE_MIN(heap) (we discuss min-heaps, but there's no real difference between min and max heaps, except how the comparison is interpreted. View Hemesh Patel’s profile on LinkedIn, the world's largest professional community. Deep learning engineers are highly sought after, and mastering deep learning will give you numerous new career opportunities. 《Introduction to Computational Thinking and Data Science》 by MIT on edx 《Algorithms》part I and part II by Princeton on coursera 《Algorithms Specialization》 by Stanford on coursera 《Build Complete Web Solutions》 by HST on coursera 《Learn to Program and Analyze Data with Python》 by University of Michigan on coursera. We cover the basics of how one constructs a program from a series of simple instructions in Python. The textbook Algorithms, 4th Edition by Robert Sedgewick and Kevin Wayne surveys the most important algorithms and data structures in use today. Learn how Jupyter Notebooks work, and understand all the basics of programming concepts including data structures, data operations, if else statements, for and while loops, and logical operations. In this module, you will learn about the basic data structures used throughout the rest of this course. You will also learn about linked lists, queues, and stacks. For instance, autonomous cars need to make fast decisions on driving actions such as lane or speed change. Get up and running with object-oriented programming by watching our Python tutorials. Welcome to pysheeet. 2018 { Introduction to Deep Learning (With Honors) - Coursera - Aug. Using Python To Access Web Data Offered by University of Michigan through Coursera • 2016. A tuple is an immutable ordered collection of items. Curiosity and passion for discovery have provided exposure to numerous industries while serving in management and consulting roles. Our work typically involves data management, machine learning, api's for data query and download, databases and some web map apps. Some interesting observations: Multi-dimensional lists and multi-dimensional arrays are fundamentally handled differently. Get your start into the fascinating field of data science and learn Python or R, SQL, terminal, and git with the help of experienced instructors. Scrapy: Powerful Web Scraping & Crawling with Python 4. Create a great resume Have a LinkedIn and Github profile for recruiters Understand all major Data Structures and Algorithms Ace coding interviews after preparing with the course's mock interviews Requirements Basic to Intermediate Python skills. Google Python Class Day 1 Part 1 and subsequent videos; edX MIT: Introduction to Computer Science and Programming using Python Python3; Coursera University of Michigan: Python for Everybody Specialization; Learn Python the Hard Way; Digital Ocean: How to code in Python 3; Data Structures and Algorithms. Class Central profile pages makes it easy for you to learn about Jacob Silverman's interests in MOOCs. The Python scientific stack is fairly mature, and there are libraries for a variety of use cases, including machine learning, and data analysis. Today, let's see something about data structures. io → Documentation + Examples + Tutorial Python Packages for research [Most Important] For research on Scientific/Engineering problems such as AI, Bioinformatics, Chemistry, Electronics Design, GIS, Human Machine Interface, Image Recognition, NPL, etc. algorithms array aws binary-search-tree binary-tree breadth-first-search clustering data-engineering data-science data-structures database depth-first-search design-pattern devops docker dynamic-programming elastic-beanstalk emr file-system for-fun functional-programming garbage-collection generics graph heap http4s java jenkins linked-list. See the complete profile on LinkedIn and discover An’s connections and jobs at similar companies. Any snippets are welcome. "The Unix Workbench" course. 144 See Repo On Github. Deep learning engineers are highly sought after, and mastering deep learning will give you numerous new career opportunities. We don’t store data in a linear way. com/course/intro-to-comp. If you are looking for good career in data science and to become expert in data science, this is the Best place for you to select the right course. In this lecture we look at three essential data structures in Python: lists, tuples, and sets. 9 Top 10 Data Science Resources on Github 0. , databases, files, public repositories, the Internet, etc. Object Oriented Programming in Java via Coursera; Python for Genomic Data Science via Coursera; Data Structures via Coursera; 3D Graphics for Web Developers via FutureLearn [NEW] Interfacing with the Arduino via Coursera [NEW] Build Your Own iOS App via Coursera [NEW] Toward the Future of iOS Development with Swift via Coursera. As of the present, you can apply for scholarships or Coursera financial aid for each Course of a Specialization (or without) individually. Coursera's Revenue, Udacity's CEO, and edX's Master's Degrees. github guide here. Coursera Interactive Python Python for Zombies videos. Peer-review of the mini project was a disappointment. I have expertise in AWS Cloud technologies and some coding and scripting languages like C, C++, Java, Python, JavaScript, Bootstrap, HTML, CSS, and MySQL. 5) Navigating Complex Data Structures 高级数据结构. com/wrdrd/docs; git clone ssh://git@github. Article Resources. Object Oriented Programming in Java via Coursera; Python for Genomic Data Science via Coursera; Data Structures via Coursera; 3D Graphics for Web Developers via FutureLearn [NEW] Interfacing with the Arduino via Coursera [NEW] Build Your Own iOS App via Coursera [NEW] Toward the Future of iOS Development with Swift via Coursera. 1 Tuples Are Like Lists. Coursera does not having proper support systems like good quality forums/any mentorship/project reviews. Coursera Python: Programming for everybody assignment 5. Accomplishments Coursera - Algorithms on Strings Apr. This will help you to understand what is going on inside a particular built-in implementation of a data structure and what to expect from it. sklearn provides simple and efficient tools for data mining and data analysis. But, you can find them in my iPython notebooks on GitHub. The key to successful technical interviews is practice. Data Structure Comparison #. Course Certificate (February 20, 2017) Python Data Structures. By Dhawal Shah November 13th, 2018. July 23, 2015 July 23, 2015 Anirudh Technical Code Snippets, Coursera, Data Visualization, Economics, Python, Rice University I'm a newbie to the programming world. Types of input, like integers, strings, floating numbers. You will learn how these data structures are implemented in different programming languages. It is a Python-based ecosystem of open-source software for mathematics, science, and engineering. Data manipulation in Python is nearly synonymous with NumPy array manipulation: even newer tools like Pandas are built around the NumPy array. Google Python Class Day 1 Part 1 and subsequent videos; edX MIT: Introduction to Computer Science and Programming using Python Python3; Coursera University of Michigan: Python for Everybody Specialization; Learn Python the Hard Way; Digital Ocean: How to code in Python 3; Data Structures and Algorithms. the dictionary, the string, and the tuple. I will put my notes and codes here sorted by weeks. Accomplishments Coursera - Algorithms on Strings Apr. Using Python to Access Web Data by University of Michigan on Coursera. A Roadmap to Machine Learning 12 Jan 2018 on Machine_Learning Up until a point in my life, I was learning stuff left and right aimlessly, and leaving the knowledge at an unfinished, quite frankly unusable level. Some reserved words for python 2. yahoo-finance. The Data Scientist of the Future. Its kind of overall package taking into consideration all the skills required by a Good Software Programmer/Developer(AFAIK) : Take an "Introduction to CS" c. My interested area is Data Structure, Algorithm , Web based software, Big data, Machine learning. If you are pursuing a Computer Science degree, you have to take a class on data structure. How to become a Data Scientist? Glossary of Machine Learning Terms. A list is an ordered collection of items. Get up and running with object-oriented programming by watching our Python tutorials. A Roadmap to Machine Learning 12 Jan 2018 on Machine_Learning Up until a point in my life, I was learning stuff left and right aimlessly, and leaving the knowledge at an unfinished, quite frankly unusable level. See more ideas about 데이터 사이언스, 프로그래밍 and 통계학. I am actively looking for full-time positions in Machine Learning, Deep Learning and Data Science starting Summer 2019. The fundamentals and contemporary usage of the Python programming language. org, an upgrade to the verified. GitHub Gist: instantly share code, notes, and snippets. In order to strengthen my data analysis ability and facilitate our work, I decided to start from the begining. 2018 Data Structures and Algorithms Specialization - Coursera { Data Structures - Coursera - Jun. This post is an attempt to we better understand the Tree Data Structure and clarify any doubts about it. As a Data Scientist, you should be able to solve problems in an efficient manner and Graphs provide a mechanism to do that in cases where the data is arranged in a specific way. 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. Additionally, Python is a requirement for the course. You will learn how these data structures are implemented in different programming languages and will practice implementing them in our programming assignments. However, my experience with Python and deep learning are very limited to zero. Want to know your first PR? firstpr. They ask you to fill out three forms, asking you to state your motivation for taking the course, how that course would help you in furthering your career, and lastly, why should you be considered for the scholarship. The features we looked at help in understanding the basic features of Python which are used for numerical computing. Prev Next. From there, we build up two important data structures: stacks and queues. Topics: Python NLP on Twitter API, Distributed Computing Paradigm, MapReduce/Hadoop & Pig Script, SQL/NoSQL, Relational Algebra, Experiment design, Statistics, Graphs, Amazon EC2, Visualization. Data Structures and Performance, University of California, San Diego, 2nd course in Object Oriented Java Programming: Data Structures and Beyond Specialization. We propose new data structures to speed up Record Linkage that take advantage of the value distribution of usual string attributes, like name or surname. Understanding these principles is crucial to the process of creating efficient and well-structured solutions for computational problems. Here we update the information and examine the trends since our previous post Top 20 Python Machine Learning Open Source Projects (Nov 2016). 1/9/2016 Chapter 10 Quiz | Coursera 1/5 Chapter 10 Quiz 10 questions 1. This post is an attempt to we better understand the Tree Data Structure and clarify any doubts about it. 《Introduction to Computational Thinking and Data Science》 by MIT on edx 《Algorithms》part I and part II by Princeton on coursera 《Algorithms Specialization》 by Stanford on coursera 《Build Complete Web Solutions》 by HST on coursera 《Learn to Program and Analyze Data with Python》 by University of Michigan on coursera. About this course: This course will introduce the core data structures of the Python programming language. Python data structures. Nenad Mancevic - Mancha is an experienced Software Engineer with more than 10 years of progressive coding experience. Problem Solving with Algorithms and Data Structures (Runestone Interactive) Top 8 resources for learning data analysis with pandas (Data School) Mode's Python Tutorial for Data Analysis ; Python Libraries Wiki ; R. Algorithmic thinking is a skill you’ll refine throughout your career. algorithm c++ database data-structures java php javascript jquery mysql python machine-learning computer-vision Are you sure you want to do that? Cancel Yes, delete it. Click here for the verifiable certificate. 6 Connections There was a problem loading your content. Hemesh has 3 jobs listed on their profile. But one of the assignment 5. The Beginner Python and Math for Data Science course was instrumental in preparing me for the Metis Bootcamp Application. Last week, it was posted on edX. left nodes contains items whose value is less than root , right sub tree contains keys with higher node value than root, and there should not be any duplicates in the tree. Here are a few :- Useful Links Java - Data Structures Algorithms and Data Structures with Java and C++ implementations Data Stru. This approach frees new data scientists from being forced to learn to program the back end framework. 2019 { How to Win a Data Science Competition (With Honors) - Coursera - Oct. The Data Science and Analytics field has also used Graphs to model various structures and problems. by Shubhi Asthana You need these cheat sheets if you're tackling Machine Learning Algorithms. He is also an avid supporter of self-learning, especially through massive open online courses, and holds a data science specialization from Johns Hopkins University on Coursera. Basic Data Structures In this module, you will learn about the basic data structures used throughout the rest of this course. The dynamic building and typing, along with the built data structures that Python offers, makes it a very lucrative language for the purposes of Rapid Application Development. Discover Data Structures and Algorithms videos, interactive coding, articles, blogs, screencasts, and more. If you are new to programming or want to improve your empirically acquired skills, I would highly recommend the Python Specialization offered by the University of Michigan on Coursera. This course has been a hit in Coursera for years, with over a million enrollments. The left and right subtree each must also be a binary search tree. the dictionary, the string, and the tuple. Jun 7 #computerscience #beginners #python #tutorial. Coursera's 2018 revenue estimated to be $140M, Udacity CEO steps down, edX announces 7 new MOOC-based degrees, and more. In this module, we work with Application Program Interfaces / Web Services using the JavaScript Object Notation (JSON) data format. 2019 { How to Win a Data Science Competition (With Honors) - Coursera - Oct. Data structures deal with how the data is organized and held in the memory when a program processes it. Data structures and algorithms are an essential part of computer programming. I have been following coursera since it's inception. The algorithm comes in different flavors. Top 7 Python Books To Learn Programming. The course will introduce data manipulation and cleaning techniques using the popular python pandas data science library and introduce the abstraction of the Series and DataFrame as the central data structures for data analysis, along with tutorials on how to use functions such as groupby, merge, and pivot tables effectively. different types of data together and treat them as a single entity. It is also used intensively for scientific and financial computation based on Python; pandas - The pandas library provides high-performance, easy-to-use data structures and data analysis tools for the Python programming language. En büyük profesyonel topluluk olan LinkedIn‘de Mert ATLI adlı kullanıcının profilini görüntüleyin. Coursera Python: Programming for everybody assignment 5. I mainly use Python, but I also have Javascrip (Front-end), Java and C++ knowledge. We are piloting a new feature with VideoKen, to provide a Table of Contents and Word-Cloud for videos. com/course/intro-to-comp. Ultimately this course will provide me an opportunity to get Python Developer Job. In a perfect world, data would be tables (rectangular) and be tidy. Dataset: available via networkx library (see code below), also see paper: An Information Flow Model for Conflict and Fission in. Interesting Online Courses. When one is performing array operations, in some cases the shapes of the arguments do not match. Last week, it was posted on edX. In a perfect world, data would be tables (rectangular) and be tidy. The broad perspective taken makes it an appropriate introduction to the field. different types of data together and treat them as a single entity. I went on youtube and found a tutorial by Corey Schafer but wanted to see if anyone else had good suggestions for videos/tutorials. So far, we have learned how to write programs and communicate our intentions to the Central Processing Unit using conditional execution, functions, and iterations. We have learned how to create and use data structures in the Main Memory. WEEK 1 - Basic Data Structures. Course Certificate (February 20, 2017) Python Data Structures. However, my experience with Python and deep learning are very limited to zero. The Open Source Data Science Curriculum. This Specialization builds on the success of the Python for Everybody course and will introduce fundamental programming concepts including data structures, networked application program. I dropped out of school before graduating to join Typeform as a Data Scientist. This feature is not available right now. The exact role, background, and skill-set, of a data scientist are still in the process of being de ned and it is likely that by the time you read this some of what we say will seem archaic. Don’t forget to post your process and code on your GitHub, and write about your results somewhere (maybe even. com/course/intro-to-comp. PyCon UA 2012: Functional Programming with Python. The algorithm comes in different flavors. #Data structures and Algorithms in Python: Section 1. [Coursera] Applied Plotting, Charting & Data Representation in Python by University of Michigan [Coursera] Data Visualization with Python by IBM [Coursera] Data Analysis with Python by IBM [Coursera] Competitive Programmer's Core Skills by Saint Petersburg State University [Coursera] Databases and SQL for Data Science by IBM [Coursera] Data. In order to strengthen my data analysis ability and facilitate our work, I decided to start from the begining. We start this module by looking in detail at the fundamental building blocks: arrays and linked lists. In this module, you will learn about the basic data structures used throughout the rest of this course. You will learn how these data structures are implemented in different programming languages and will practice implementing them in our programming assignments. A Roadmap to Machine Learning 12 Jan 2018 on Machine_Learning Up until a point in my life, I was learning stuff left and right aimlessly, and leaving the knowledge at an unfinished, quite frankly unusable level. Peer-review of the mini project was a disappointment. 9 Top 10 Data Science Resources on Github 0. data structures, time complexity, Memory. (Depricated) This android app is aimed to send files through the messengers that don't allow files to send(one of which is WhatsApp). Exploratory Data Analysis in Python Your best resource to perform data exploration in Python using NumPy, Pandas & Matplotlib. 2018 { Algorithmic Toolbox - Coursera - Apr. I mainly use Python, but I also have Javascrip (Front-end), Java and C++ knowledge. I changed that when I started learning web development. Data Structures in Java for Noobs From 0 to 1: Data Structures & Algorithms in Java Break Away: Programming And Coding Interviews Advanced Data Structures and Algorithms in Java deepti srivastav Advanced Algorithms in Java Comprehensive Algorithms Data Structures and Algorithms in Java Algorithms and Data Structures in Java Hadop Big Data. Finally, you’ll learn to use your data skills to tell a story with data. Data Structures and Algorithms Using Python by Rance D. Python for Data Structures, Algorithms, and Interviews (Udemy) This comprehensive program will help to ace your coding interviews using easy to read Python programming language. This project aims at collecting useful Python snippets in order to enhance pythoneers’ coding experiences. My First PR. The right subtree of a node contains only nodes with keys greater than the node’s key. This course will help me to become a good Python Developer and then I will be able to apply that to build my project successfully. A list is an ordered collection of items. In this course you’ll focus on frequently used data structures and algorithms. Primary focus on developing best practices in writing Python and exploring the extensible and unique parts of Python that make it such a powerful language. Click here for the verifiable certificate. 5) Navigating Complex Data Structures 高级数据结构. Get your start into the fascinating field of data science and learn Python or R, SQL, terminal, and git with the help of experienced instructors. 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. How Coursera Manages Large-Scale ETL using AWS Data Pipeline and Dataduct. Coursera Curriculum. 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. algorithms array aws binary-search-tree binary-tree breadth-first-search clustering data-engineering data-science data-structures database depth-first-search design-pattern devops docker dynamic-programming elastic-beanstalk emr file-system for-fun functional-programming garbage-collection generics graph heap http4s java jenkins linked-list. 2019 { How to Win a Data Science Competition (With Honors) - Coursera - Oct. Data can be collected from the Internet in different ways. We start the course with an initial exploration of linear relationships, including some motivating examples of how linear models are used, and demonstrations of data visualization methods from matplotlib. When one is performing array operations, in some cases the shapes of the arguments do not match. The Python scientific stack is fairly mature, and there are libraries for a variety of use cases, including machine learning, and data analysis. Zombie Operating System 63% 26% 6% •Data Structures Course Future. In python I work those area and have future plan to work more. Google Python Class Day 1 Part 1 and subsequent videos; edX MIT: Introduction to Computer Science and Programming using Python Python3; Coursera University of Michigan: Python for Everybody Specialization; Learn Python the Hard Way; Digital Ocean: How to code in Python 3; Data Structures and Algorithms. Introduction. He is also an avid supporter of self-learning, especially through massive open online courses, and holds a data science specialization from Johns Hopkins University on Coursera. Coursera Python for Everybody This Specialization will introduce fundamental programming concepts including data structures, networked application program. Pick one company to long and other to short. Interesting Online Courses. See the complete profile on LinkedIn and discover Donal’s connections and jobs at similar companies. There can be significant compositional differences between the crust and the underlying mantle, depending on tectonic setting (i. Exploring Linear Trends. GitHub is home to over 36 million developers working together to host and review code, manage projects, and build software together. Peer-review of the mini project was a disappointment. I have been following coursera since it's inception. Get an introduction to Python with focus on data science. Recently I was playing around with multi-dimensional data structures in Python. We cover the basics of how one constructs a program from a series of simple instructions in Python. Algorithms Notes (1) - Analysis of Algorithms Princeton Algorithms Notes Algorithms Coursera. This course will introduce the core data structures of the Python programming language. Introduction. When one is performing array operations, in some cases the shapes of the arguments do not match. Here they'll tell you about basics of computer science which should be know to all of us atleast to a computer science guy. It is aimed at beginners and intermediate programmers and data scientists who are familiar with Python and want to understand and apply Deep Learning techniques to a variety of problems. This is a typical use case that I face as at Akamai. algorithms array aws binary-search-tree binary-tree breadth-first-search clustering data-engineering data-science data-structures database depth-first-search design-pattern devops docker dynamic-programming elastic-beanstalk emr file-system for-fun functional-programming garbage-collection generics graph heap http4s java jenkins linked-list. Go through Andrew Ng's ML course (YouTube or coursera). I completed a master degree in Computer Science at SRTTU in 2015. Python is also suitable as an extension language for customizable applications. In this short tutorial, I would like to walk through the use of Python Pandas to analyze a CSV log file for offload analysis. Analyzing (Social) Network Data: Capstone Project for Object Oriented Programming in Java specialization, University of California San Diego, on Coursera Cryptography Encryption. Course Certificate (June 4, 2016) Bayesian Statistics: From Concept to Data Analysis by University of California, Santa. data structures, time complexity, Memory. Learn concepts like data structures, networked. Codecademy Coursera: An Introduction to Interactive Programming in Python (Part 1) Coursera: An Introduction to Interactive Programming in Python (Part 2) Coursera: Programming for Everybody (Getting Started with Python) Coursera: Python Data Structures Hackerrank Github: 100+ Python challenging programming exercises Codingame Codeschool. Python data visualization: Comparing 7 tools. That said; the first step is to collect data. Using Python to Access Web Data is course 3 of 5 in the Python for Everybody Specialization. I did the first two courses of Python for everybody (Getting started and data structures) when Coursera was free. In python I work those area and have future plan to work more. 2 # # Mutable vs. I know the title of this post may sound like random words thrown together, but it's actually a really cool activity to learn about recursion using the turtle module in Python (Linux users need to install tkinter). This tutorial introduces the reader informally to the basic concepts and features of the Python language and system. If you focus specifically on Python and R's data analysis community, a similar pattern appears. com/wrdrd/docs; git clone ssh://git@github. It is also used intensively for scientific and financial computation based on Python; pandas – The pandas library provides high-performance, easy-to-use data structures and data analysis tools for the Python programming language. Google Python Class Day 1 Part 1 and subsequent videos; edX MIT: Introduction to Computer Science and Programming using Python Python3; Coursera University of Michigan: Python for Everybody Specialization; Learn Python the Hard Way; Digital Ocean: How to code in Python 3; Data Structures and Algorithms. 1/9/2016 Chapter 10 Quiz | Coursera 1/5 Chapter 10 Quiz 10 questions 1. Python Data Structures Coursera Github.