Python Fundamentals Course with NumPy Library
Python fundamentals, arrays and numpy library, functions and operations with functions, conditional operations, for/while loops, class definition and OOP
Python,Python Programming,Development
Lectures -68
Resources -55
Duration -7.5 hours
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Course Description
The course is describing 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 detailed description about lists, dictionaries, tuple 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, transposition with arrays is described. There are examples with 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 the chapter 4.
Chapter 5 describes functions and modules. In this chapter function declaration and definition is 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 about Object Oriented programming (OOP). Here special functions __main__ and __self__ are described. Creating attributes within the class, creating methods, creating get and set properties are also described.
Goals
What will you learn in this course:
Learning basic Python programming language
Python fundamentals
Arrays and numpy library
Functions and operations with functions
Conditional operations, for/while loops
Class definition
Prerequisites
What are the prerequisites for this course?
No programming experience required
Curriculum
Check out the detailed breakdown of what’s inside the course
Python introduction
11 Lectures
- Python introduction 08:07 08:07
- Variables 05:54 05:54
- Basic data types 04:10 04:10
- String slicing 09:24 09:24
- Lists 07:30 07:30
- List methods 07:45 07:45
- Tuple 04:56 04:56
- Dictionary 06:30 06:30
- Class work no. 1 03:05 03:05
- Anaconda instalation 04:37 04:37
- Solution to class work no 1 08:28 08:28
Arrays
11 Lectures
Operations with arrays
14 Lectures
Conditional operations and loops
12 Lectures
Functions and modules
12 Lectures
Object oriented programming (OOP)
8 Lectures
Instructor Details
Ardian Grezda
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