Python Fundamentals and numpy library
Python fundamentals, arrays and numpy library, functions and operations with functions, conditional operations, for/while loops,
Development ,Data Science,Python
Lectures -68
Resources -55
Duration -7.5 hours
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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

Curriculum
Check out the detailed breakdown of what’s inside the course
Python introduction
11 Lectures
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Python introduction 08:07 08:07
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Variables 05:54 05:54
-
Basic data types 04:10 04:10
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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
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Class work no. 1 03:05 03:05
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Anaconda instalation 04:37 04:37
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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
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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