235 lines
4.7 KiB
JSON
235 lines
4.7 KiB
JSON
{
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"name": "Python for Everybody",
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"isUpcomingChange": false,
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"dashedName": "python-for-everybody",
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"order": 0,
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"time": "15 hours",
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"superBlock": "scientific-computing-with-python",
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"challengeOrder": [
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[
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"5e6a54a558d3af90110a60a0",
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"Introduction: Why Program?"
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],
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[
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"5e6a54af58d3af90110a60a1",
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"Introduction: Hardware Architecture"
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],
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[
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"5e6a54ba58d3af90110a60a2",
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"Introduction: Python as a Language"
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],
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[
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"5e6a54c358d3af90110a60a3",
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"Introduction: Elements of Python"
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],
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[
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"5e7b9f050b6c005b0e76f056",
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"Variables, Expressions, and Statements"
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],
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[
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"5e7b9f050b6c005b0e76f057",
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"Intermediate Expressions"
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],
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[
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"5e7b9f050b6c005b0e76f058",
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"Conditional Execution"
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],
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[
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"5e7b9f060b6c005b0e76f059",
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"More Conditional Structures"
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],
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[
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"5e7b9f060b6c005b0e76f05a",
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"Python Functions"
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],
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[
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"5e7b9f060b6c005b0e76f05b",
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"Build your own Functions"
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],
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[
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"5e7b9f060b6c005b0e76f05c",
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"Loops and Iterations"
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],
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[
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"5e7b9f070b6c005b0e76f05d",
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"Iterations: Definite Loops"
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],
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[
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"5e7b9f070b6c005b0e76f05e",
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"Iterations: Loop Idioms"
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],
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[
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"5e7b9f070b6c005b0e76f05f",
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"Iterations: More Patterns"
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],
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[
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"5e7b9f070b6c005b0e76f060",
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"Strings in Python"
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],
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[
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"5e7b9f070b6c005b0e76f061",
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"Intermediate Strings"
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],
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[
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"5e7b9f080b6c005b0e76f062",
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"Reading Files"
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],
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[
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"5e7b9f080b6c005b0e76f063",
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"Files as a Sequence"
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],
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[
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"5e7b9f080b6c005b0e76f064",
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"Python Lists"
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],
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[
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"5e7b9f090b6c005b0e76f065",
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"Working with Lists"
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],
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[
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"5e7b9f090b6c005b0e76f066",
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"Strings and Lists"
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],
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[
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"5e7b9f090b6c005b0e76f067",
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"Python Dictionaries"
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],
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[
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"5e7b9f090b6c005b0e76f068",
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"Dictionaries: Common Applications"
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],
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[
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"5e7b9f0a0b6c005b0e76f069",
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"Dictionaries and Loops"
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],
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[
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"5e7b9f0a0b6c005b0e76f06c",
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"The Tuples Collection"
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],
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[
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"5e7b9f0b0b6c005b0e76f06d",
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"Comparing and Sorting Tuples"
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],
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[
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"5e7b9f0b0b6c005b0e76f06e",
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"Regular Expressions"
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],
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[
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"5e7b9f0b0b6c005b0e76f06f",
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"Regular Expressions: Matching and Extracting Data"
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],
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[
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"5e7b9f0b0b6c005b0e76f070",
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"Regular Expressions: Practical Applications"
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],
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[
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"5e7b9f0c0b6c005b0e76f071",
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"Networking with Python"
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],
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[
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"5e7b9f0c0b6c005b0e76f072",
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"Networking Protocol"
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],
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[
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"5e7b9f0c0b6c005b0e76f073",
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"Networking: Write a Web Browser"
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],
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[
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"5e7b9f0c0b6c005b0e76f074",
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"Networking: Text Processing"
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],
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[
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"5e7b9f0d0b6c005b0e76f075",
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"Networking: Using urllib in Python"
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],
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[
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"5e7b9f0d0b6c005b0e76f076",
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"Networking: Web Scraping with Python"
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],
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[
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"5e7b9f0e0b6c005b0e76f07a",
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"Using Web Services"
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],
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[
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"5e7b9f0e0b6c005b0e76f07b",
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"Web Services: XML"
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],
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[
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"5e7b9f0e0b6c005b0e76f07c",
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"Web Services: XML Schema"
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],
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[
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"5e7b9f140b6c005b0e76f07d",
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"Web Services: JSON"
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],
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[
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"5e7b9f140b6c005b0e76f07e",
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"Web Services: Service Oriented Approach"
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],
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[
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"5e7b9f150b6c005b0e76f07f",
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"Web Services: APIs"
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],
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[
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"5e7b9f150b6c005b0e76f080",
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"Web Services: API Rate Limiting and Security"
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],
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[
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"5e7b9f160b6c005b0e76f085",
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"Python Objects"
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],
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[
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"5e7b9f160b6c005b0e76f086",
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"Objects: A Sample Class"
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],
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[
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"5e7b9f170b6c005b0e76f087",
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"Object Lifecycle"
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],
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[
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"5e7b9f170b6c005b0e76f088",
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"Objects: Inheritance"
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],
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[
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"5e7b9f170b6c005b0e76f08a",
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"Relational Databases and SQLite"
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],
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[
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"5e7b9f170b6c005b0e76f08b",
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"Make a Relational Database"
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],
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[
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"5e7b9f180b6c005b0e76f08c",
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"Relational Database Design"
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],
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[
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"5e7b9f180b6c005b0e76f08d",
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"Representing Relationships in a Relational Database"
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],
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[
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"5e7b9f180b6c005b0e76f08e",
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"Relational Databases: Relationship Building"
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],
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[
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"5e7b9f180b6c005b0e76f08f",
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"Relational Databases: Join Operation"
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],
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[
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"5e7b9f190b6c005b0e76f090",
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"Relational Databases: Many-to-many Relationships"
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],
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[
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"5e7b9f690b6c005b0e76f095",
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"Visualizing Data with Python"
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],
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[
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"5e7b9f6a0b6c005b0e76f096",
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"Data Visualization: Page Rank"
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],
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[
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"5e7b9f6a0b6c005b0e76f097",
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"Data Visualization: Mailing Lists"
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]
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]
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}
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