Learn about Numpy Arrays in Python programming

Learn about Numpy Arrays in Python programming: Getting started, Numpy arrays are great alternatives to Python Lists. Some of the key advantages of Numpy arrays are that they are fast, easy to work with and give users the opportunity to perform calculations across entire arrays. In the following example, you will first create two

The Python Standard Library Ver 3.6.5

The Python Standard Library Ver 3.6.5 Go ahead and explore the language reference for Python 3.6.5. You might as well explore more modules, APIs, packages, etc… This type of exploration is what divides the monkey see monkey do programmer vs. the programmer who has the skill & ability to shut down half the power

Learn Modules and Packages in Python programming

Learn Modules and Packages in Python programming: In programming, a module is a piece of software that has a specific functionality. For example, when building a ping pong game, one module would be responsible for the game logic, and another module would be responsible for drawing the game on the screen.

Learn about Dictionaries datatype for Python

Learn about Dictionaries datatype for Python: A dictionary is a data type similar to arrays but works with keys and values instead of indexes. Each value stored in a dictionary can be accessed using a key, which is any type of object (a string, a number, a list, etc.) instead of using its index

Learn about programming Classes and Objects in Python

Learn about programming Classes and Objects in Python: Objects are an encapsulation of variables and functions into a single entity.   Objects get their variables and functions from classes. Classes are essentially a template to create your objects. A very basic class would look something like this: [python] class MyClass: variable = "blah" def

Learn about programming Functions in Python

Learn about programming Functions in Python: What are Functions? Functions are a convenient way to divide your code into useful blocks, allowing us to order our code, make it more readable, reuse it and save time. Also functions are a key way to define interfaces so programmers can share their code.

Learn about Python Conditions

Python uses Boolean variables to evaluate conditions. The Boolean values True and False are returned when an expression is compared or evaluated. For example: [python] x = 2 print(x == 2) # prints out True print(x == 3) # prints out False print(x < 3) # prints out True [/python] Trinket.io on-line Python compiler

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