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Python Fundamentals and numpy library

person icon Ardian Grezda

4.6

Python Fundamentals and numpy library

Python fundamentals, arrays and numpy library, functions and operations with functions, conditional operations, for/while loops,

updated on icon Updated on Jun, 2025

language icon Language - English

person icon Ardian Grezda

category icon Development ,Data Science,Python

Lectures -68

Resources -55

Duration -7.5 hours

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4.6

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Course Description

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.

Goals

Learning basic Python programming language
Python fundamentals

Arrays and numpy library

Functions and operations with functions

Conditional operations, for/while loops

Class definition

Prerequisites

No programming experience required

Python Fundamentals and numpy library

Curriculum

Check out the detailed breakdown of what’s inside the course

Python introduction

11 Lectures
  • play icon Python introduction 08:07 08:07
  • play icon Variables 05:54 05:54
  • play icon Basic data types 04:10 04:10
  • play icon String slicing 09:24 09:24
  • play icon Lists 07:30 07:30
  • play icon List methods 07:45 07:45
  • play icon Tuple 04:56 04:56
  • play icon Dictionary 06:30 06:30
  • play icon Class work no. 1 03:05 03:05
  • play icon Anaconda instalation 04:37 04:37
  • play icon Solution to class work no 1 08:28 08:28

Arrays

11 Lectures
Tutorialspoint

Operations with arrays

14 Lectures
Tutorialspoint

Conditional operations and loops

12 Lectures
Tutorialspoint

Functions and modules

12 Lectures
Tutorialspoint

Object oriented programming (OOP)

8 Lectures
Tutorialspoint

Instructor Details

Ardian Grezda

Ardian Grezda

I have more than 15 years of experience in the following programming languages: C, C++, Python, .NET, etc.
I have also experience in various database systems: Oracle, MySQL, and Microsoft SQL-server.
I have 6 years of experience as a university lecturer in computer science subjects: Computer graphics, Image processing, Cryptography Data security, and Data structures.
Also, I have 6 years of experience as a Python instructor and lecturer in Data Analysis and Visualization.

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