Searching for ranching : 85 results found | RSS Feed for this search

1 2 3

6.189 A Gentle Introduction to Programming Using Python (MIT) 6.189 A Gentle Introduction to Programming Using Python (MIT)

Description

This course will provide a gentle introduction to programming using Python™ for highly motivated students with little or no prior experience in programming computers. The course will focus on planning and organizing programs, as well as the grammar of the Python programming language. Lectures will be interactive featuring in-class exercises with lots of support from the course staff. This course is offered during the Independent Activities Period (IAP), which is a special 4-week term at MIT that runs from the first week of January until the end of the month. This course will provide a gentle introduction to programming using Python™ for highly motivated students with little or no prior experience in programming computers. The course will focus on planning and organizing programs, as well as the grammar of the Python programming language. Lectures will be interactive featuring in-class exercises with lots of support from the course staff. This course is offered during the Independent Activities Period (IAP), which is a special 4-week term at MIT that runs from the first week of January until the end of the month.

Subjects

Python | Python | introduction to programming | introduction to programming | how to think like a computer scientist | how to think like a computer scientist | control flow | control flow | lists | lists | strings | strings | tuples | tuples | objects | objects | mutability | mutability | scope | scope | dictionaries | dictionaries | web search | web search | recursion | recursion | branching and repetition | branching and repetition | structuring programs | structuring programs | debugging programs | debugging programs | data structures | data structures | teamwork | teamwork | modularity | modularity | incremental programming | incremental programming

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

Site sourced from

http://ocw.mit.edu/rss/all/mit-allcourses-6.xml

Attribution

Click to get HTML | Click to get attribution | Click to get URL

All metadata

See all metadata

14.15J Networks (MIT) 14.15J Networks (MIT)

Description

Networks are ubiquitous in our modern society. The World Wide Web that links us to and enables information flows with the rest of the world is the most visible example. It is, however, only one of many networks within which we are situated. Our social life is organized around networks of friends and colleagues. These networks determine our information, influence our opinions, and shape our political attitudes. They also link us, often through important but weak ties, to everybody else in the United States and in the world. Economic and financial markets also look much more like networks than anonymous marketplaces. Firms interact with the same suppliers and customers and use Web-like supply chains. Financial linkages, both among banks and between consumers, companies and banks, also form a Networks are ubiquitous in our modern society. The World Wide Web that links us to and enables information flows with the rest of the world is the most visible example. It is, however, only one of many networks within which we are situated. Our social life is organized around networks of friends and colleagues. These networks determine our information, influence our opinions, and shape our political attitudes. They also link us, often through important but weak ties, to everybody else in the United States and in the world. Economic and financial markets also look much more like networks than anonymous marketplaces. Firms interact with the same suppliers and customers and use Web-like supply chains. Financial linkages, both among banks and between consumers, companies and banks, also form a

Subjects

networks | networks | crowds | crowds | markets | markets | highly connected world | highly connected world | social networks | social networks | economic networks | economic networks | power networks | power networks | communication networks | communication networks | game theory | game theory | graph theory | graph theory | branching processes | branching processes | random graph models | random graph models | rich get richer phenomena | rich get richer phenomena | power laws | power laws | small worlds | small worlds | Erd?s-Renyi graphs | Erd?s-Renyi graphs | degree distributions | degree distributions | phase transitions | phase transitions | connectedness | connectedness | and giant component | and giant component | link analysis | link analysis | web search | web search | navigation | navigation | decentralized search | decentralized search | preferential attachment | preferential attachment | epidemics | epidemics | diffusion through networks | diffusion through networks | SIR | SIR | (susceptible | (susceptible | infected | infected | removed) | removed) | SIS | SIS | susceptible) | susceptible) | strategies | strategies | payoffs | payoffs | normal forms | normal forms | Nash equilibrium | Nash equilibrium | traffic networks | traffic networks | negative externalities | negative externalities | Braess' paradox | Braess' paradox | potential games | potential games | myopic behavior | myopic behavior | fictitious play | fictitious play | repeated games | repeated games | prisoner's dilemma | prisoner's dilemma | cooperation | cooperation | perfect information | perfect information | imperfect information | imperfect information | positive externalities | positive externalities | strategic complements | strategic complements | path dependence | path dependence | diffusion of innovation | diffusion of innovation | contagion pheonomena | contagion pheonomena | Bayes's rule | Bayes's rule | Bayesian Nash equilibrium | Bayesian Nash equilibrium | first price auctions | first price auctions | second price auctions | second price auctions | social learning | social learning | Bayesian learning | Bayesian learning | copying | copying | herding | herding | herd behavior | herd behavior | informational cascades | informational cascades | decisions | decisions | social choice | social choice | Condorcet jury theorem | Condorcet jury theorem | political economy | political economy

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

Site sourced from

http://ocw.mit.edu/rss/all/mit-allcourses.xml

Attribution

Click to get HTML | Click to get attribution | Click to get URL

All metadata

See all metadata

21W.730-4 Writing on Contemporary Issues: Food for Thought: Writing and Reading about the Cultures of Food (MIT) 21W.730-4 Writing on Contemporary Issues: Food for Thought: Writing and Reading about the Cultures of Food (MIT)

Description

"What people do with food is an act that reveals how they construe the world." - Marcella Hazan, The Classic Italian Cookbook If you are what you eat, what are you? Food is at once the stuff of life and a potent symbol; it binds us to the earth, to our families, and to our cultures. In this class, we explore many of the fascinating issues that surround food as both material fact and personal and cultural symbol. We read essays by Toni Morrison, Michael Pollan, Wendell Berry, and others on such topics as family meals, eating as an "agricultural act" (Berry), slow food, and food's ability to awaken us to "our own powers of enjoyment" (M. F. K. Fisher). We will also read Pollan's most recent book, In Defense of Food, and discuss the issues it raises as well as "What people do with food is an act that reveals how they construe the world." - Marcella Hazan, The Classic Italian Cookbook If you are what you eat, what are you? Food is at once the stuff of life and a potent symbol; it binds us to the earth, to our families, and to our cultures. In this class, we explore many of the fascinating issues that surround food as both material fact and personal and cultural symbol. We read essays by Toni Morrison, Michael Pollan, Wendell Berry, and others on such topics as family meals, eating as an "agricultural act" (Berry), slow food, and food's ability to awaken us to "our own powers of enjoyment" (M. F. K. Fisher). We will also read Pollan's most recent book, In Defense of Food, and discuss the issues it raises as well as

Subjects

food | food | hunger | hunger | good calories | good calories | lipid hypothesis | lipid hypothesis | diet | diet | nutrients | nutrients | unhappy meals | unhappy meals | nutritionism | nutritionism | cuisine | cuisine | carbohydrates | carbohydrates | fats | fats | proteins | proteins | water | water | plants | plants | animals | animals | fungus or fermented products like alcohol | fungus or fermented products like alcohol | human cultures | human cultures | hunting and gathering | hunting and gathering | farming | farming | ranching | ranching | fishing | fishing

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

Site sourced from

http://ocw.mit.edu/rss/all/mit-allcourses.xml

Attribution

Click to get HTML | Click to get attribution | Click to get URL

All metadata

See all metadata

Getting a drink of water at Buck Island Ranch- Lake Placid Getting a drink of water at Buck Island Ranch- Lake Placid

Description

Subjects

water | water | cowboys | cowboys | florida | florida | cowboyhats | cowboyhats | ranching | ranching | lakeplacid | lakeplacid | buckislandranch | buckislandranch

License

No known copyright restrictions

Site sourced from

http://api.flickr.com/services/feeds/photos_public.gne?id=31846825@N04&lang=en-us&format=rss_200

Attribution

Click to get HTML | Click to get attribution | Click to get URL

All metadata

See all metadata

Cowboys roping a calf during the Okee Ranch rodeo Cowboys roping a calf during the Okee Ranch rodeo

Description

Subjects

cowboys | cowboys | cattle | cattle | florida | florida | ranching | ranching | rodeos | rodeos | calves | calves | calfroping | calfroping | okeeranch | okeeranch

License

No known copyright restrictions

Site sourced from

http://api.flickr.com/services/feeds/photos_public.gne?id=31846825@N04&lang=en-us&format=rss_200

Attribution

Click to get HTML | Click to get attribution | Click to get URL

All metadata

See all metadata

21W.730-4 Writing on Contemporary Issues: Food for Thought: Writing and Reading about the Cultures of Food (MIT)

Description

"What people do with food is an act that reveals how they construe the world." - Marcella Hazan, The Classic Italian Cookbook If you are what you eat, what are you? Food is at once the stuff of life and a potent symbol; it binds us to the earth, to our families, and to our cultures. In this class, we explore many of the fascinating issues that surround food as both material fact and personal and cultural symbol. We read essays by Toni Morrison, Michael Pollan, Wendell Berry, and others on such topics as family meals, eating as an "agricultural act" (Berry), slow food, and food's ability to awaken us to "our own powers of enjoyment" (M. F. K. Fisher). We will also read Pollan's most recent book, In Defense of Food, and discuss the issues it raises as well as its rhetorical strategie

Subjects

food | hunger | good calories | lipid hypothesis | diet | nutrients | unhappy meals | nutritionism | cuisine | carbohydrates | fats | proteins | water | plants | animals | fungus or fermented products like alcohol | human cultures | hunting and gathering | farming | ranching | fishing

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

Site sourced from

http://ocw.mit.edu/rss/all/mit-allcourses.xml

Attribution

Click to get HTML | Click to get attribution | Click to get URL

All metadata

See all metadata

6.189 A Gentle Introduction to Programming Using Python (MIT)

Description

This course will provide a gentle introduction to programming using Python™ for highly motivated students with little or no prior experience in programming computers. The course will focus on planning and organizing programs, as well as the grammar of the Python programming language. Lectures will be interactive featuring in-class exercises with lots of support from the course staff. This course is offered during the Independent Activities Period (IAP), which is a special 4-week term at MIT that runs from the first week of January until the end of the month.

Subjects

Python | introduction to programming | how to think like a computer scientist | control flow | lists | strings | tuples | objects | mutability | scope | dictionaries | web search | recursion | branching and repetition | structuring programs | debugging programs | data structures | teamwork | modularity | incremental programming

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htm

Site sourced from

https://ocw.mit.edu/rss/all/mit-allsimplifiedchinesecourses.xml

Attribution

Click to get HTML | Click to get attribution | Click to get URL

All metadata

See all metadata

6.189 A Gentle Introduction to Programming Using Python (MIT)

Description

This course will provide a gentle introduction to programming using Python™ for highly motivated students with little or no prior experience in programming computers. The course will focus on planning and organizing programs, as well as the grammar of the Python programming language. Lectures will be interactive featuring in-class exercises with lots of support from the course staff. This course is offered during the Independent Activities Period (IAP), which is a special 4-week term at MIT that runs from the first week of January until the end of the month.

Subjects

Python | introduction to programming | how to think like a computer scientist | control flow | lists | strings | tuples | objects | mutability | scope | dictionaries | web search | recursion | branching and repetition | structuring programs | debugging programs | data structures | teamwork | modularity | incremental programming

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

Site sourced from

http://ocw.mit.edu/rss/all/mit-allthaicourses.xml

Attribution

Click to get HTML | Click to get attribution | Click to get URL

All metadata

See all metadata

6.189 A Gentle Introduction to Programming Using Python (MIT)

Description

This course will provide a gentle introduction to programming using Python™ for highly motivated students with little or no prior experience in programming computers. The course will focus on planning and organizing programs, as well as the grammar of the Python programming language. Lectures will be interactive featuring in-class exercises with lots of support from the course staff. This course is offered during the Independent Activities Period (IAP), which is a special 4-week term at MIT that runs from the first week of January until the end of the month.

Subjects

Python | introduction to programming | how to think like a computer scientist | control flow | lists | strings | tuples | objects | mutability | scope | dictionaries | web search | recursion | branching and repetition | structuring programs | debugging programs | data structures | teamwork | modularity | incremental programming

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

Site sourced from

http://ocw.mit.edu/rss/all/mit-allthaicourses.xml

Attribution

Click to get HTML | Click to get attribution | Click to get URL

All metadata

See all metadata

6.189 A Gentle Introduction to Programming Using Python (MIT)

Description

This course will provide a gentle introduction to programming using Python™ for highly motivated students with little or no prior experience in programming computers. The course will focus on planning and organizing programs, as well as the grammar of the Python programming language. Lectures will be interactive featuring in-class exercises with lots of support from the course staff. This course is offered during the Independent Activities Period (IAP), which is a special 4-week term at MIT that runs from the first week of January until the end of the month.

Subjects

Python | introduction to programming | how to think like a computer scientist | control flow | lists | strings | tuples | objects | mutability | scope | dictionaries | web search | recursion | branching and repetition | structuring programs | debugging programs | data structures | teamwork | modularity | incremental programming

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

Site sourced from

http://ocw.mit.edu/rss/all/mit-allthaicourses.xml

Attribution

Click to get HTML | Click to get attribution | Click to get URL

All metadata

See all metadata

6.189 A Gentle Introduction to Programming Using Python (MIT)

Description

This course will provide a gentle introduction to programming using Python™ for highly motivated students with little or no prior experience in programming computers. The course will focus on planning and organizing programs, as well as the grammar of the Python programming language. Lectures will be interactive featuring in-class exercises with lots of support from the course staff. This course is offered during the Independent Activities Period (IAP), which is a special 4-week term at MIT that runs from the first week of January until the end of the month.

Subjects

Python | introduction to programming | how to think like a computer scientist | control flow | lists | strings | tuples | objects | mutability | scope | dictionaries | web search | recursion | branching and repetition | structuring programs | debugging programs | data structures | teamwork | modularity | incremental programming

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

Site sourced from

http://ocw.mit.edu/rss/all/mit-allthaicourses.xml

Attribution

Click to get HTML | Click to get attribution | Click to get URL

All metadata

See all metadata

6.189 A Gentle Introduction to Programming Using Python (MIT)

Description

This course will provide a gentle introduction to programming using Python™ for highly motivated students with little or no prior experience in programming computers. The course will focus on planning and organizing programs, as well as the grammar of the Python programming language. Lectures will be interactive featuring in-class exercises with lots of support from the course staff. This course is offered during the Independent Activities Period (IAP), which is a special 4-week term at MIT that runs from the first week of January until the end of the month.

Subjects

Python | introduction to programming | how to think like a computer scientist | control flow | lists | strings | tuples | objects | mutability | scope | dictionaries | web search | recursion | branching and repetition | structuring programs | debugging programs | data structures | teamwork | modularity | incremental programming

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

Site sourced from

http://ocw.mit.edu/rss/all/mit-allthaicourses.xml

Attribution

Click to get HTML | Click to get attribution | Click to get URL

All metadata

See all metadata

6.189 A Gentle Introduction to Programming Using Python (MIT)

Description

This course will provide a gentle introduction to programming using Python™ for highly motivated students with little or no prior experience in programming computers. The course will focus on planning and organizing programs, as well as the grammar of the Python programming language. Lectures will be interactive featuring in-class exercises with lots of support from the course staff. This course is offered during the Independent Activities Period (IAP), which is a special 4-week term at MIT that runs from the first week of January until the end of the month.

Subjects

Python | introduction to programming | how to think like a computer scientist | control flow | lists | strings | tuples | objects | mutability | scope | dictionaries | web search | recursion | branching and repetition | structuring programs | debugging programs | data structures | teamwork | modularity | incremental programming

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

Site sourced from

http://ocw.mit.edu/rss/all/mit-allthaicourses.xml

Attribution

Click to get HTML | Click to get attribution | Click to get URL

All metadata

See all metadata

6.189 A Gentle Introduction to Programming Using Python (MIT)

Description

This course will provide a gentle introduction to programming using Python™ for highly motivated students with little or no prior experience in programming computers. The course will focus on planning and organizing programs, as well as the grammar of the Python programming language. Lectures will be interactive featuring in-class exercises with lots of support from the course staff. This course is offered during the Independent Activities Period (IAP), which is a special 4-week term at MIT that runs from the first week of January until the end of the month.

Subjects

Python | introduction to programming | how to think like a computer scientist | control flow | lists | strings | tuples | objects | mutability | scope | dictionaries | web search | recursion | branching and repetition | structuring programs | debugging programs | data structures | teamwork | modularity | incremental programming

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

Site sourced from

http://ocw.mit.edu/rss/all/mit-allthaicourses.xml

Attribution

Click to get HTML | Click to get attribution | Click to get URL

All metadata

See all metadata

6.189 A Gentle Introduction to Programming Using Python (MIT)

Description

This course will provide a gentle introduction to programming using Python™ for highly motivated students with little or no prior experience in programming computers. The course will focus on planning and organizing programs, as well as the grammar of the Python programming language. Lectures will be interactive featuring in-class exercises with lots of support from the course staff. This course is offered during the Independent Activities Period (IAP), which is a special 4-week term at MIT that runs from the first week of January until the end of the month.

Subjects

Python | introduction to programming | how to think like a computer scientist | control flow | lists | strings | tuples | objects | mutability | scope | dictionaries | web search | recursion | branching and repetition | structuring programs | debugging programs | data structures | teamwork | modularity | incremental programming

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

Site sourced from

http://ocw.mit.edu/rss/all/mit-allthaicourses.xml

Attribution

Click to get HTML | Click to get attribution | Click to get URL

All metadata

See all metadata

6.189 A Gentle Introduction to Programming Using Python (MIT)

Description

This course will provide a gentle introduction to programming using Python™ for highly motivated students with little or no prior experience in programming computers. The course will focus on planning and organizing programs, as well as the grammar of the Python programming language. Lectures will be interactive featuring in-class exercises with lots of support from the course staff. This course is offered during the Independent Activities Period (IAP), which is a special 4-week term at MIT that runs from the first week of January until the end of the month.

Subjects

Python | introduction to programming | how to think like a computer scientist | control flow | lists | strings | tuples | objects | mutability | scope | dictionaries | web search | recursion | branching and repetition | structuring programs | debugging programs | data structures | teamwork | modularity | incremental programming

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

Site sourced from

http://ocw.mit.edu/rss/all/mit-allthaicourses.xml

Attribution

Click to get HTML | Click to get attribution | Click to get URL

All metadata

See all metadata

6.189 A Gentle Introduction to Programming Using Python (MIT)

Description

This course will provide a gentle introduction to programming using Python™ for highly motivated students with little or no prior experience in programming computers. The course will focus on planning and organizing programs, as well as the grammar of the Python programming language. Lectures will be interactive featuring in-class exercises with lots of support from the course staff. This course is offered during the Independent Activities Period (IAP), which is a special 4-week term at MIT that runs from the first week of January until the end of the month.

Subjects

Python | introduction to programming | how to think like a computer scientist | control flow | lists | strings | tuples | objects | mutability | scope | dictionaries | web search | recursion | branching and repetition | structuring programs | debugging programs | data structures | teamwork | modularity | incremental programming

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

Site sourced from

http://ocw.mit.edu/rss/all/mit-allthaicourses.xml

Attribution

Click to get HTML | Click to get attribution | Click to get URL

All metadata

See all metadata

6.189 A Gentle Introduction to Programming Using Python (MIT)

Description

This course will provide a gentle introduction to programming using Python™ for highly motivated students with little or no prior experience in programming computers. The course will focus on planning and organizing programs, as well as the grammar of the Python programming language. Lectures will be interactive featuring in-class exercises with lots of support from the course staff. This course is offered during the Independent Activities Period (IAP), which is a special 4-week term at MIT that runs from the first week of January until the end of the month.

Subjects

Python | introduction to programming | how to think like a computer scientist | control flow | lists | strings | tuples | objects | mutability | scope | dictionaries | web search | recursion | branching and repetition | structuring programs | debugging programs | data structures | teamwork | modularity | incremental programming

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

Site sourced from

http://ocw.mit.edu/rss/all/mit-allthaicourses.xml

Attribution

Click to get HTML | Click to get attribution | Click to get URL

All metadata

See all metadata

6.189 A Gentle Introduction to Programming Using Python (MIT)

Description

This course will provide a gentle introduction to programming using Python™ for highly motivated students with little or no prior experience in programming computers. The course will focus on planning and organizing programs, as well as the grammar of the Python programming language. Lectures will be interactive featuring in-class exercises with lots of support from the course staff. This course is offered during the Independent Activities Period (IAP), which is a special 4-week term at MIT that runs from the first week of January until the end of the month.

Subjects

Python | introduction to programming | how to think like a computer scientist | control flow | lists | strings | tuples | objects | mutability | scope | dictionaries | web search | recursion | branching and repetition | structuring programs | debugging programs | data structures | teamwork | modularity | incremental programming

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

Site sourced from

http://ocw.mit.edu/rss/all/mit-allthaicourses.xml

Attribution

Click to get HTML | Click to get attribution | Click to get URL

All metadata

See all metadata

6.189 A Gentle Introduction to Programming Using Python (MIT)

Description

This course will provide a gentle introduction to programming using Python™ for highly motivated students with little or no prior experience in programming computers. The course will focus on planning and organizing programs, as well as the grammar of the Python programming language. Lectures will be interactive featuring in-class exercises with lots of support from the course staff. This course is offered during the Independent Activities Period (IAP), which is a special 4-week term at MIT that runs from the first week of January until the end of the month.

Subjects

Python | introduction to programming | how to think like a computer scientist | control flow | lists | strings | tuples | objects | mutability | scope | dictionaries | web search | recursion | branching and repetition | structuring programs | debugging programs | data structures | teamwork | modularity | incremental programming

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

Site sourced from

http://ocw.mit.edu/rss/all/mit-allthaicourses.xml

Attribution

Click to get HTML | Click to get attribution | Click to get URL

All metadata

See all metadata

6.189 A Gentle Introduction to Programming Using Python (MIT)

Description

This course will provide a gentle introduction to programming using Python™ for highly motivated students with little or no prior experience in programming computers. The course will focus on planning and organizing programs, as well as the grammar of the Python programming language. Lectures will be interactive featuring in-class exercises with lots of support from the course staff. This course is offered during the Independent Activities Period (IAP), which is a special 4-week term at MIT that runs from the first week of January until the end of the month.

Subjects

Python | introduction to programming | how to think like a computer scientist | control flow | lists | strings | tuples | objects | mutability | scope | dictionaries | web search | recursion | branching and repetition | structuring programs | debugging programs | data structures | teamwork | modularity | incremental programming

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

Site sourced from

http://ocw.mit.edu/rss/all/mit-allthaicourses.xml

Attribution

Click to get HTML | Click to get attribution | Click to get URL

All metadata

See all metadata

6.189 A Gentle Introduction to Programming Using Python (MIT)

Description

This course will provide a gentle introduction to programming using Python™ for highly motivated students with little or no prior experience in programming computers. The course will focus on planning and organizing programs, as well as the grammar of the Python programming language. Lectures will be interactive featuring in-class exercises with lots of support from the course staff. This course is offered during the Independent Activities Period (IAP), which is a special 4-week term at MIT that runs from the first week of January until the end of the month.

Subjects

Python | introduction to programming | how to think like a computer scientist | control flow | lists | strings | tuples | objects | mutability | scope | dictionaries | web search | recursion | branching and repetition | structuring programs | debugging programs | data structures | teamwork | modularity | incremental programming

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

Site sourced from

http://ocw.mit.edu/rss/all/mit-allthaicourses.xml

Attribution

Click to get HTML | Click to get attribution | Click to get URL

All metadata

See all metadata

6.189 A Gentle Introduction to Programming Using Python (MIT)

Description

This course will provide a gentle introduction to programming using Python™ for highly motivated students with little or no prior experience in programming computers. The course will focus on planning and organizing programs, as well as the grammar of the Python programming language. Lectures will be interactive featuring in-class exercises with lots of support from the course staff. This course is offered during the Independent Activities Period (IAP), which is a special 4-week term at MIT that runs from the first week of January until the end of the month.

Subjects

Python | introduction to programming | how to think like a computer scientist | control flow | lists | strings | tuples | objects | mutability | scope | dictionaries | web search | recursion | branching and repetition | structuring programs | debugging programs | data structures | teamwork | modularity | incremental programming

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

Site sourced from

http://ocw.mit.edu/rss/all/mit-allthaicourses.xml

Attribution

Click to get HTML | Click to get attribution | Click to get URL

All metadata

See all metadata

6.189 A Gentle Introduction to Programming Using Python (MIT)

Description

This course will provide a gentle introduction to programming using Python™ for highly motivated students with little or no prior experience in programming computers. The course will focus on planning and organizing programs, as well as the grammar of the Python programming language. Lectures will be interactive featuring in-class exercises with lots of support from the course staff. This course is offered during the Independent Activities Period (IAP), which is a special 4-week term at MIT that runs from the first week of January until the end of the month.

Subjects

Python | introduction to programming | how to think like a computer scientist | control flow | lists | strings | tuples | objects | mutability | scope | dictionaries | web search | recursion | branching and repetition | structuring programs | debugging programs | data structures | teamwork | modularity | incremental programming

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

Site sourced from

http://ocw.mit.edu/rss/all/mit-allthaicourses.xml

Attribution

Click to get HTML | Click to get attribution | Click to get URL

All metadata

See all metadata

6.189 A Gentle Introduction to Programming Using Python (MIT)

Description

This course will provide a gentle introduction to programming using Python™ for highly motivated students with little or no prior experience in programming computers. The course will focus on planning and organizing programs, as well as the grammar of the Python programming language. Lectures will be interactive featuring in-class exercises with lots of support from the course staff. This course is offered during the Independent Activities Period (IAP), which is a special 4-week term at MIT that runs from the first week of January until the end of the month.

Subjects

Python | introduction to programming | how to think like a computer scientist | control flow | lists | strings | tuples | objects | mutability | scope | dictionaries | web search | recursion | branching and repetition | structuring programs | debugging programs | data structures | teamwork | modularity | incremental programming

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

Site sourced from

http://ocw.mit.edu/rss/all/mit-allthaicourses.xml

Attribution

Click to get HTML | Click to get attribution | Click to get URL

All metadata

See all metadata