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MIT OCW-6 00 Fall 2008- Introduction to Computer Science and Prog (Fixed)
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Torrent Files List
MIT OCW Original Files ReadMe.txt (Size: 4.97 GB) (Files: 139)
MIT OCW Original Files ReadMe.txt
Torrent downloaded from Demonoid.com.txt
ReadMe.txt
Course Readings(PDF)
Sorting- How To.pdf
Socket Programming- How To.pdf
Python Tutorial.pdf
Sums, Approximations, and Asymptotics II.pdf
Regular Expression- How To.pdf
The Python Library Reference.pdf
Whats New In Python.pdf
Unicode- How To.pdf
The Python- C API.pdf
Python Set-up and Usage.pdf
The Python Language Reference.pdf
Python FAQ.pdf
Documenting Python.pdf
Extending and Embedding Python.pdf
Distributing Python Modules.pdf
Descriptor How To Guide.pdf
Curses Programming with Python.pdf
Fetch Internet Resources Using urllib2- How To.pdf
Functional Programming- How To.pdf
Porting Extension Modules to 3.0.pdf
Installing Python Modules.pdf
Idioms and Anti-Idioms in Python.pdf
How To Think Like a Computer Scientist.pdf
Python Advocacy- How To.pdf
Use Python in the Web- How To.pdf
6.00 Fall08- Intro to Computer Sci. and Programming
Course Exams
Quiz 1.pdf
Quiz 2 Solution.pdf
Quiz 2.pdf
Quiz 3 Explanation.pdf
Quiz 1 Solution.pdf
q3.py
Final.pdf
Final Topics.pdf
Course Assignments
Problem Set 5.pdf
Problem Set 4.pdf
shapes.txt
Problem Set 8.pdf
ps10.py
Problem Set 9.pdf
Problem Set 3.pdf
Problem Set 7.pdf
Problem Set 12.pdf
Problem Set 0.pdf
Problem Set 1.pdf
Getting Started.pdf
ps10_gui.py
Problem Set 11.pdf
Problem Set 10.pdf
Problem Set 2.pdf
Problem Set 6.pdf
ps8.py
ps6.py
words.txt
test_ps5.py
ps10_test.py
subjects.txt
ps5_ghost.py
ps9.py
ps12.py
ps11.py
ps2b.py
ps11_visualize.py
ps5.py
ps4.py
ps3_template.py
Video Lectures
Lecture 20
Lecture20 Handout.pdf
Lec20- Monte Carlo Simulations, Estimating pi.mp4
Lecture20 Transcript.pdf
Lecture 21
Lec21- Validating Simulation Results.mp4
Lecture21 Handout.pdf
Lecture21 Transcript.pdf
Lecture 19
Lecture19 Transcript.pdf
Lec19- Biased Random Walks, Distributions.mp4
Lecture19 Handout.pdf
Lecture 18
Lecture18 Transcript.pdf
Lecture18 Handout.pdf
Lec18- Presenting Simulation Results, Pylab, Plotting.mp4
Lecture 24
Lecture24 Handout.pdf
Lec24- Course Overview; What Do Computer Scientists Do.mp4
Lecture24 Transcript.pdf
Lecture 23
Lecture23 Transcript.pdf
Lecture23 Handout.pdf
Lec23- Stock Market Simulation.mp4
Lecture 22
Lec22- Normal, Uniform, and Exponential Distributions.mp4
Lecture22 Handout.pdf
Lecture22 Transcript.pdf
Lecture 11
Lec11- Testing and Debugging.mp4
Lecture11 Handout.pdf
Lecture11 Transcript.pdf
Lecture 06
Lecture06 Handout.pdf
Lecture06 Transcript.pdf
Lec06- Bisection Methods, Newton_Raphson, Introduction to lists.mp4
Lecture 05
Lecture05- Transcript.pdf
Lecture05- Handout.pdf
Lec05- Floating Point Numbers, Successive Refinement.mp4
Lecture 07
Lec07- Lists and Mutability, Dictionaries.mp4
Lecture07 Handout.pdf
Lecture07 Transcript.pdf
Lecture 08
Lecture08 Transcript.pdf
Lecture08 Handout.pdf
Lec08- Complexity_ Log, Linear, Quadratic, Exponential Algorithms.mp4
Lecture 04
Lecture04 Transcript.pdf
Lecture04 Handout.pdf
Lec04- Abstraction through Functions; Introduction to Recursion.mp4
Lecture 02
Lecture02 Handout.pdf
Lec02- Branching,Conditionals, and Iteration.mp4
Lecture02 Transcript.pdf
Lecture 01
Lecture01 Transcript.pdf
Lec 1- Introduction and Goals.mp4
Lecture 03
Lec03- Common Code Patterns- Iterative Programs.mp4
Lecture03 Transcript.pdf
Lecture03 Handout.pdf
Lecture 09
Lec09- Binary Search, Bubble and Selection Sorts.mp4
Lecture09 Handout.pdf
Lecture09 Transcript.pdf
Lecture 15
Lec15- Abstract Data Types, Classes and Methods.mp4
Lecture15 Handout.pdf
Lecture15 Transcript.pdf
Lecture 14
Lecture14 Transcript.pdf
Lecture14 Handout.pdf
Lec14- Introduction to Object-oriented Programming.mp4
Lecture 16
Lec16- Encapsulation, Inheritance, Shadowing.mp4
Lecture16 Transcript.pdf
Lecture16 Handout.pdf
Lecture 17
Lecture17 Handout.pdf
Lec17- Computational Models-Random Walk Simulation.mp4
Lecture17 Transcript.pdf
Lecture 13
Lecture13 Transcript.pdf
Lecture13 Handout.pdf
Lec13- Dynamic Programming.mp4
Lecture 10
Lecture10 Transcript.pdf
Lecture10 Handout.pdf
Lec10- Divide and Conquer Methods, Merge Sort, Exceptions.mp4
Lecture 12
Lecture12 Transcript.pdf
Lecture12 Handout.pdf
Lec12- Debugging, Knapsack Problem.mp4
Torrent description
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