Python Specialization Coursera Complete Learn to Program and Analyze Data with Python Develop programs to gather, clean, analyze, and visualize data

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Python Specialization Coursera Complete Learn to Program and Analyze Data with Python Develop programs to gather, clean, analyze, and visualize data (Size: 3.13 GB)
 book_270.pdf1.47 MB
 Bonus- Eben Upton and the RaspBerry Pi - University of Michigan - Coursera.mp429.44 MB
 Face-to-Face Office Hours- Milan, Italy - University of Michigan - Coursera.mp416.58 MB
 Fun- The Textbook Authors Meet @PyCon2015 - University of Michigan - Coursera.mp412.45 MB
 Inside of Hard Drive.mp45.33 MB
 Interview- Daphne Koller - Building Coursera - University of Michigan - Coursera.mp438.75 MB
 Lecture 1.1 - Why Program - University of Michigan - Coursera.mp412.84 MB
 Lecture 1.2 Hardware Overview - University of Michigan - Coursera.mp49.32 MB
 Lecture 1.3 Python as a Language - University of Michigan - Coursera.mp414.54 MB
 Lecture 1.4 Writing Paragraphs of Code - University of Michigan - Coursera.mp414.72 MB
 Lecture 1.5 An Animated Programming Story - University of Michigan - Coursera.mp418.08 MB
 Interview- Pooja Sankar - Building Piazza - University of Michigan - Coursera.mp421.52 MB
 Lecture 2.1 Expressions - University of Michigan - Coursera.mp434.55 MB
 Lecture 2.2 Types - University of Michigan - Coursera.mp439 MB
 Office Hours- Mountain View, CA - University of Michigan - Coursera.mp47.45 MB
 Py4Inf-02-Expressions.pdf158.14 KB
 Interview- Massimo Banzi- The Arduino - University of Michigan - Coursera.mp424.44 MB
 Lecture 3.1 Conditional Statements - University of Michigan - Coursera.mp425.2 MB
 Lecture 3.2 Examples of Conditional Statements - University of Michigan - Coursera.mp412.31 MB
 Lecture 3.3 Try and Except - University of Michigan - Coursera.mp411.44 MB
 Office Hours- Seoul Korea - University of Michigan - Coursera.mp410.47 MB
 Py4Inf-03-Conditionals.pdf301.11 KB
 Worked Exercise- 3.2 - University of Michigan - Coursera.mp46.55 MB
 Chapter 4 - Functions - University of Michigan - Coursera.mp426.91 MB
 Interview- Guido van Rossum- The Early Years of Python - University of Michigan - Coursera.mp414.01 MB
 Office Hours- Manila Philippines - University of Michigan - Coursera.mp47.98 MB
 Py4Inf-04-Functions.pdf181.53 KB
 Interview- Guido van Rossum - The Modern Era of Python - University of Michigan - Coursera.mp436.03 MB
 Lecture 5.1 Loops and Iteration - University of Michigan - Coursera.mp439.41 MB
 Lecture 5.2 Loop Idioms - University of Michigan - Coursera.mp427.63 MB
 Lecture 5.3 Largest and Smallest - University of Michigan - Coursera.mp418.7 MB
 Office Hours- Paris, France - University of Michigan - Coursera.mp45.23 MB
 Py4Inf-05-Iteration.pdf248.37 KB
 Worked Exercise- 5.1 - University of Michigan - Coursera.mp419.39 MB
 AceEditor.js1.7 KB
 Analytics.js26.93 KB
 audiojs.js2.52 KB
 AudioPlayer.css20.93 KB
 BAT.js8.03 KB
 BRACE.js1.93 MB
 ClosedCourseRedirectApp.js2.62 KB
 componentDataFetcher.js982 bytes
 conditionalRedirect.js2.25 KB
 connectToRouter.js2.06 KB
 Reading Welcome to Python Data Structures _ Coursera.htm1.57 MB
 Video Welcome - Dr. Chuck - University of Michigan - Coursera.mp46.07 MB
 AceEditor.js1.7 KB
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 componentDataFetcher.js982 bytes
 About the New Platform _ Coursera.htm1.57 MB
 book_007.pdf1.01 MB
 Course Information _ Syllabus _ Coursera.htm1.58 MB
 Fun- The Textbook Authors Meet @PyCon - University of Michigan - Coursera.mp421.06 MB
 Py4Inf-06-Strings.pdf256.55 KB
 Py4Inf-07-Files.pdf247.84 KB
 Py4Inf-08-Lists.pdf199.74 KB
 Py4Inf-09-Dictionaries.pdf812.75 KB
 Py4Inf-10-Tuples.pdf106.62 KB
 Submitting Assignments _ Coursera.htm1.58 MB
 Chapter 6 - Strings - University of Michigan - Coursera.mp452.84 MB
 Worked Exercise- 6.5 - University of Michigan - Coursera.mp46.83 MB
 Bonus- Monash Museum of Computing History - University of Michigan - Coursera.mp428.09 MB
 Bonus- Office Hours New York City - University of Michigan - Coursera.mp413.4 MB
 Thanks to all Who Helped Make this Class Possible - University of Michigan - Coursera.mp430.78 MB
 AceEditor.js1.7 KB
 Analytics.js26.93 KB
 api.js514 bytes
 assess.js205 bytes
 assessment.js263 bytes
 assessment_002.js5.65 KB
 assessment_003.js5.79 KB
 assessment_004.js257 bytes
 assessment_005.js257 bytes
 assessment_006.js3.72 KB
 Demonstration- Using the Python Playground - University of Michigan - Coursera.mp46.97 MB
 Important Reading Using Python in this Class _ Coursera.htm1.62 MB
 Bonus- Eben Upton and the RaspBerry Pi - University of Michigan - Coursera.mp429.44 MB
 Demonstration- Using the Python Playground - University of Michigan - Coursera.mp46.97 MB
 Using Python on a Raspberry Pi _ Linux - University of Michigan - Coursera.mp46.71 MB
 Windows 8- Taking Screen Shots - University of Michigan - Coursera.mp43.35 MB
 AceEditor.js1.7 KB
 Analytics.js26.93 KB
 api.js514 bytes
 assess.js205 bytes
 assessment.js5.79 KB
 assessment_002.js257 bytes
 assessment_003.js257 bytes
 assessment_004.js3.72 KB
 assessment_005.js8.26 KB
 assessment_006.js263 bytes
 Bonus- Gordon Bell - Building Blocks of Computing - University of Michigan - Coursera.mp464.8 MB
 Bonus- Office Hours Barcelona - University of Michigan - Coursera.mp49.25 MB
 Chapter 7 - Files - University of Michigan - Coursera.mp448.38 MB
 Demonstration- Worked Exercise 7.6 - University of Michigan - Coursera.mp415.16 MB
 Where are the 7.1 and 7.2 worked exercises _ Coursera.htm1.79 MB
 Bonus- Office Hours - Chicago - University of Michigan - Coursera.mp45.79 MB
 Bonus- Rasmus Lerdorf - Inventing the PHP Language - University of Michigan - Coursera.mp423.02 MB
 Chapter 8 - Lists - University of Michigan - Coursera.mp452 MB
 Fun- Python Lists in Paris - University of Michigan - Coursera.mp46.6 MB
 Bonus- Brendan Eich - Inventing Javascript - University of Michigan - Coursera.mp444.88 MB
 Bonus- Office Hours - Amsterdam - University of Michigan - Coursera.mp420.15 MB
 Chapter 9 - Dictionaries - University of Michigan - Coursera.mp468.48 MB
 Worked Exercise- Dictionaries - University of Michigan - Coursera.mp438.91 MB
 Worked Exercise- Lists - University of Michigan - Coursera.mp423.33 MB
 Bonus- John Resig - Inventing JQuery - University of Michigan - Coursera.mp438.13 MB
 Bonus- Office Hours - Puebla, Mexico - University of Michigan - Coursera.mp49.82 MB
 Chapter 10 - Tuples - University of Michigan - Coursera.mp453.88 MB
 Douglas Crockford- JavaScript Object Notation (JSON) - University of Michigan - Coursera.mp424.73 MB
 Fun- The Greatest Taco in the World - University of Michigan - Coursera.mp420.49 MB
 Worked Exercise- Tuples and Sorting - University of Michigan - Coursera.mp423.04 MB
 Graduation Ceremony - University of Michigan - Coursera.mp427.37 MB
 AceEditor.js1.7 KB
 Analytics.js26.93 KB
 audiojs.js2.52 KB
 AudioPlayer.css20.93 KB
 BAT.js8.03 KB
 BRACE.js1.93 MB
 ClosedCourseRedirectApp.js2.62 KB
 componentDataFetcher.js982 bytes
 conditionalRedirect.js2.25 KB
 connectToRouter.js2.06 KB
 Py4Inf-11-Regex.pdf361.08 KB
 Py4Inf-12-HTTP.pdf1.95 MB
 Py4Inf-13-WebServices.pdf1.89 MB
 Syllabus _ Coursera.htm1.57 MB
 Welcome to The Course - University of Michigan - Coursera.mp43.82 MB
 AceEditor.js1.7 KB
 Analytics.js26.93 KB
 audiojs.js2.52 KB
 AudioPlayer.css20.93 KB
 BAT.js8.03 KB
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 componentDataFetcher.js982 bytes
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 connectToRouter.js2.06 KB
 Notes on Choice of Text Editor _ Coursera.htm1.57 MB
 Notes on Python 2.x versus Python 3.x _ Coursera.htm1.57 MB
 Welcome to Python - Guido van Rossum - University of Michigan - Coursera.mp42.48 MB
 Welcome to The Course - University of Michigan - Coursera.mp43.82 MB
 AceEditor.js1.7 KB
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 APP.js340 bytes
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 py.png695 bytes
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 Underscore.js11.86 KB
 version_switch.js1.79 KB
 Python Regular Expression Quick Guide _ Coursera.htm1.61 MB
 Regular Expression HOWTO — Python 2.7.12rc1 documentation.htm151.47 KB
 Regular Expressions - Part 1 - University of Michigan - Coursera.mp441.65 MB
 Regular Expressions - Part 2 - University of Michigan - Coursera.mp436.66 MB
 Bonus Interview- Bjarne Stroustrup - C++ - University of Michigan - Coursera.mp444.41 MB
 Bonus- Office Hours - Den Haag - University of Michigan - Coursera.mp410.23 MB
 AceEditor.js1.7 KB
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 assessment_005.js7.69 KB
 From Sockets to Applications - University of Michigan - Coursera.mp438.18 MB
 If You Want to Learn More _ Coursera.htm1.62 MB
 Let’s Write a Web Browser - University of Michigan - Coursera.mp421.7 MB
 Networked Programs - University of Michigan - Coursera.mp424.61 MB
 Bonus Video- Leonard Kleinrock - The First Two Packets on the ARPANET - University of Michigan -...52.93 MB
 Bonus Video- Robert Cailliau - co-Inventor of the Web - University of Michigan - Coursera.mp450.8 MB
 Bonus- Office Hours - Atlanta GA (Buckhead) - University of Michigan - Coursera.mp423.66 MB
 Fun- Dr. Chuck @ CNN Reading the News - University of Michigan - Coursera.mp413.56 MB
 AceEditor.js1.7 KB
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 assessment_003.js257 bytes
 assessment_004.js263 bytes
 assessment_005.js7.69 KB
 Notes Regarding the Use of Beautiful Soup _ Coursera.htm1.64 MB
 Parsing HTML with BeautifulSoup - University of Michigan - Coursera.mp424.5 MB
 Understanding HTML - University of Michigan - Coursera.mp416.57 MB
 Bonus Interview- Tim Berners-Lee - Inventing the Web - University of Michigan - Coursera.mp44.7 MB
 Bonus- Office Hours - Montreal - University of Michigan - Coursera.mp416.35 MB
 Fun- I Got My Mojo Working - Geneva, Switzerland - University of Michigan - Coursera.mp431.02 MB
 eXtensible Markup Language - XML - University of Michigan - Coursera.mp420.71 MB
 Interview- Roy Fielding - Understanding the REST Architecture - University of Michigan -...29.57 MB
 Parsing XML in Python - University of Michigan - Coursera.mp423.87 MB
 Web Services Overview - University of Michigan - Coursera.mp48.62 MB
 XML Schema - University of Michigan - Coursera.mp426.4 MB
 Bonus Video- Ian Horrocks _ RDF _ OWL (Advanced) - University of Michigan - Coursera.mp428.54 MB
 Bonus- Office Hours - Boston - University of Michigan - Coursera.mp412.72 MB
 Accessing APIs in Python - University of Michigan - Coursera.mp431.34 MB
 API Security and Rate Limiting - University of Michigan - Coursera.mp453.16 MB
 Interview- Douglas Crockford - Discovering JSON - University of Michigan - Coursera.mp424.73 MB
 JavaScript Object Notation - University of Michigan - Coursera.mp428.27 MB
 Service Oriented Approach - University of Michigan - Coursera.mp46.17 MB
 Video- Service Oriented Architectures - University of Michigan - Coursera.mp414.17 MB
 Bonus- Class Reunion at Bletchley Park - University of Michigan - Coursera.mp446.53 MB
 Bonus- Office Hours - Melbourne, AU - University of Michigan - Coursera.mp410.74 MB
 Bonus- Office Hours - Santa Monica, CA - University of Michigan - Coursera.mp432.46 MB
 AceEditor.js1.7 KB
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 Py4Inf-13a-Objects.pdf539.42 KB
 Py4Inf-14-Databases.pdf6.35 MB
 Py4Inf-15-Data-Viz.pdf1.89 MB
 Syllabus _ Coursera.htm1.57 MB
 Welcome to Using Databases with Python - University of Michigan - Coursera.mp44.09 MB
 Inheritance - University of Michigan - Coursera.mp49.64 MB
 Introduction - University of Michigan - Coursera.mp413.7 MB
 Object Lifecycle - University of Michigan - Coursera.mp416.97 MB
 Simple Python Objects - University of Michigan - Coursera.mp418.82 MB
 Terminology - University of Michigan - Coursera.mp48.2 MB
 What is an -Object-- - University of Michigan - Coursera.mp49.14 MB
 Bonus- Interview - Software Engineering - Bertrand Meyer - University of Michigan - Coursera.mp439.56 MB
 Bonus- Office Hours - London - University of Michigan - Coursera.mp49.06 MB
 Database Introduction - University of Michigan - Coursera.mp433.98 MB
 Single Table CRUD - University of Michigan - Coursera.mp434.06 MB
 Using Databases - University of Michigan - Coursera.mp430.22 MB
 Bonus- Office Hours Zagreb, Croatia - University of Michigan - Coursera.mp420.36 MB
 Email Database Demo - University of Michigan - Coursera.mp423.1 MB
 Interview- Elizabeth Fong - The Early Years of SQL - University of Michigan - Coursera.mp428.36 MB
 Designing a Data Model - University of Michigan - Coursera.mp434.95 MB
 Inserting Relational Data - University of Michigan - Coursera.mp421.06 MB
 Reconstructing data with JOIN - University of Michigan - Coursera.mp428.4 MB
 Representing a Data Model in Tables - University of Michigan - Coursera.mp427.32 MB
 Bonus Interview- Niklas Wirth - University of Michigan - Coursera.mp452.02 MB
 Bonus- Office Hours Barcelona - University of Michigan - Coursera.mp410.92 MB
 Bonus- Office Hours Perth, Australia - University of Michigan - Coursera.mp411.1 MB
 Multi-table Tracks Demo - University of Michigan - Coursera.mp434.92 MB
 Many-to-Many Relationships - University of Michigan - Coursera.mp433.68 MB
 Many-to-Many Roster Demo - University of Michigan - Coursera.mp427.31 MB
 Bonus Interview- Andrew Tannenbaum - Minix - University of Michigan - Coursera.mp437.61 MB
 Bonus- Office Hours Mexico, City - University of Michigan - Coursera.mp46.02 MB
 Geocoding - University of Michigan - Coursera.mp423 MB
 Gmane - Mailing Lists - University of Michigan - Coursera.mp419.18 MB
 Page Rank and Web Searching - University of Michigan - Coursera.mp428.52 MB
 GeoCoding API Demo - University of Michigan - Coursera.mp431.97 MB
 Bonus Interview- Brian Behlendorf - Apache Foundation - University of Michigan - Coursera.mp423.11 MB
 Bonus Interview- Richard Stallman - Free Software Foundation - University of Michigan - Coursera.mp411.49 MB
 Bonus- Office Hours - Amsterdam - University of Michigan - Coursera.mp417.71 MB
 Book.css1.19 KB
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Description

This Specialization builds on the success of the Python for Everybody course and will introduce fundamental programming concepts including data structures, networked application program interfaces, and databases, using the Python programming language. In the Capstone Project, you’ll use the technologies learned throughout the Specialization to design and create your own applications for data retrieval, processing, and visualization.

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3.13 GB
seeders:91
leechers:44
Python Specialization Coursera Complete Learn to Program and Analyze Data with Python Develop programs to gather, clean, analyze, and visualize data

All Comments

ergaba
i will seed till i bleed
hkhr
Enjoy seeding now :)
hkhr
now seeding .....
foodmoon
Seed please