Software Programming

Looking for software programming help?
We have free video lessons on software programming languages. The programming languages available are Java and Python.

Python Programming Language

A series of video lessons on the Python Programming Language given by Khan Academy.

Introduction to Programs Data Types and Variables Writing a basic program. Basics of data types, variables and conditional statements	Python Lists Understanding the basics of lists in Python
For Loops in Python Basics of for loops in Python	While Loops in Python Seeing that a while loop can do the same thing as a for loop
Fun with Strings Experimenting and seeing what we can do with strings	Writing a Simple Factorial Program(Python 2) Writing a simple factorial program with a "for" loop
Stepping Through the Factorial Program Stepping through what happens when a user inputs a particular value into our factorial program	Flowchart for the Factorial Program
Python 3 Not Backwards Compatible with Python 2 Understanding why the example program would not run in Python 3 and how to fix it.

Defining a Factorial Function	Diagramming What Happens with a Function Call Variable scope and function calls
Recursive Factorial Function Introduction to recursion.	Comparing Iterative and Recursive Factorial Functions
Exercise - Write a Fibonacci Function	Introduction to the Fibonacci Sequence and a programming challenge
Iterative Fibonacci Function Example One way to write a Fibonacci function iteratively	Stepping Through Iterative Fibonacci Function Understanding how the iterative Fibonacci function works for a particular example
Recursive Fibonacci Example Using recursion to write a fibonacci function	Stepping Through Recursive Fibonacci Function Understanding why and how the recursive Fibonacci function works
Exercise - Write a Sorting Function Challenge to write a Python function that can sort a list in-place	Insertion Sort Algorithm Visual description of the insertion sort algorithm
Insertion Sort in Python Basic implementation of insertion sort algorithm	Stepping Through Insertion Sort Function Clarifying what "break" does and stepping through the insertion sort implementation

MIT 6.00 Intro to Computer Science & Programming

This subject is aimed at students with little or no programming experience. It aims to provide students with an understanding of the role computation can play in solving problems. It also aims to help students, regardless of their major, to feel justifiably confident of their ability to write small programs that allow them to accomplish useful goals. The class will use the Python programming language.

Introduction to Programming
Lecture 1Goals of the course; what is computation; introduction to data types, operators, and variables
Lecture 2Operators and operands; statements; branching, conditionals, and iteration

Lecture 3Common code patterns: iterative programs
Lecture 4Decomposition and abstraction through functions; introduction to recursion

Lecture 5Floating point numbers, successive refinement, finding roots
Lecture 6 Bisection methods, Newton/Raphson, introduction to lists

Lecture 7Lists and mutability, dictionaries, pseudocode, introduction to efficiency
Lecture 8Complexity; log, linear, quadratic, exponential algorithms

Lecture 9: Binary search, bubble and selection sorts
Lecture 10: Divide and conquer methods, merge sort, exceptions

Lecture 11: Testing and debugging
Lecture 12: More about debugging, knapsack problem, introduction to dynamic programming

Lecture 13: Dynamic programming: overlapping subproblems, optimal substructure
Lecture 14: Analysis of knapsack problem, introduction to object-oriented programming

Lecture 15: Abstract data types, classes and methods
Lecture 16: Encapsulation, inheritance, shadowing

Lecture 17: Computational models: random walk simulation
Lecture 18: Presenting simulation results, Pylab, plotting

Lecture 19: Biased random walks, distributions
Lecture 20: Monte Carlo simulations, estimating pi

Lecture 21: Validating simulation results, curve fitting, linear regression
Lecture 22: Normal, uniform, and exponential distributions; misuse of statistics

Lecture 23: Stock market simulation
Lecture 24: Course overview; what do computer scientists do?

Computer Programming Methodology (Java)

A Free Java Programming Course from Stanford.

Programming Methodology (CS106A) is an Introduction to the engineering of computer applications emphasizing modern software engineering principles: object-oriented design, decomposition, encapsulation, abstraction, and testing. Uses the Java programming language. Emphasis is on good programming style and the built-in facilities of the Java language.

Java Programming Course
Lecture 1 Course Overview & Computer Programming
Lecture 2 Introducing Karel and the commands

Lecture 3 Karel ֠Common errors, comments, and advanced instructions
Lecture 4 History of computing and introduces programming in Java

Lecture 5 Graphics, objects, classes, variables, and values pertaining to Java
Lecture 6 Expressions, variables, and values, conditions, scopes, if statements, and different loops

Lecture 7 Loops, function, methods, and returning
Lecture 8 More details on methods and functions

Lecture 9 Strings, Classes and how to combine the previous topics and lectures together
Lecture 10 Classes, constructors, instance variables, setters, strings, extending, interface, labels, and GArcs

Lecture 11 GObjects, GImage, Gcompound, and Gpolygons. How to incorporate the mouse and keyboard into the graphics
Lecture 12 Enumeration

Lecture 13 String processing and characters
Lecture 14 Memory and what happens to a computer internally when programming

Lecture 15 Pointers and memory, reading files, creating files, and over writing files
Lecture 16 Arrays

Lecture 17 Arrays and array lists
Lecture 18 Arrays and Debugging

Lecture 19 Interfaces
Lecture 20 Graphical User Interface

Lecture 21: Interactions
Lecture 22: Programming Methodology (Stanford)

Lecture 23: Searching and sorting
Lecture 24 How online music companies sort and classify their music

Lecture 25 Programming Methodology (Stanford)
Lecture 26 Programming Methodology (Stanford)

Lecture 27 Programming Methodology (Stanford)
Lecture 28 Programming Methodology (Stanford)

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