Python Fundamentals and numpy library

The course describes Python fundamentals. It is divided into 6 chapters.

Chapter 1 describes basic Python data structures, Spyder installation, interpreters and IDE that are used. There is a detailed description of lists, dictionaries, tuples and strings. Also, slicing different types is described. 

Chapter 2 describes numpy arrays. Accessing array elements, array concatenation, operations with arrays and special arrays. Different methods of slicing arrays are described. Importing libraries with various options are also described. 

Chapter 3 describes mathematical operations with arrays. Addition, subtraction, multiplication, division, and transposition with arrays are described. There are examples of logical operators and searching. Different methods of array generation are described, as well as rounding, sorting and extreme values (minimum and maximum).

Chapter 4 describes conditional operations. Also, if/elif/else are described. while loops, break and continue, for loops, try/except are also part of chapter 4.

Chapter 5 describes functions and modules. In this chapter function declaration and definition are described, as well as calling the function with default value. Anonymous functions are described as well. Creating modules and usage of packages are described.

Chapter 6 describes the basics of Object Oriented Programming (OOP). Here special functions __main__ and __self__ are described. Creating attributes within the class, creating methods, and creating get and set properties are also described.