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Python Fundamentals

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Ardian Grezda

7:31:02

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  • 1. Python introduction.mp4
    08:07
  • 2.1 chapter 1 2.zip
  • 2. Variables.mp4
    05:54
  • 3.1 chapter 1 3.zip
  • 3. Basic data types.mp4
    04:10
  • 4.1 chapter 1 4.zip
  • 4. String slicing.mp4
    09:24
  • 5.1 chapter 1 5.zip
  • 5. Lists.mp4
    07:30
  • 6.1 chapter 1 6.zip
  • 6. List methods.mp4
    07:45
  • 7.1 chapter 1 7.zip
  • 7. Tuple.mp4
    04:56
  • 8.1 chapter 1 8.zip
  • 8. Dictionary.mp4
    06:30
  • 9. Class work no. 1.mp4
    03:05
  • 10. Anaconda instalation.mp4
    04:37
  • 11.1 chapter 1 11.zip
  • 11. Solution to class work no 1.mp4
    08:28
  • 1.1 chapter 2 1.zip
  • 1. Arrays.mp4
    06:06
  • 2.1 chapter 2 2.zip
  • 2. dtype arrays.mp4
    09:02
  • 3.1 chapter 2 3.zip
  • 3. Method ndim.mp4
    04:05
  • 4.1 chapter 2 4.zip
  • 4. Array concatenation.mp4
    08:05
  • 5.1 chapter 2 5.zip
  • 5. Acessing array elements - scalar selection.mp4
    07:04
  • 6.1 chapter 2 6.zip
  • 6. Acessing array elements - array slicing.mp4
    11:38
  • 7.1 chapter 2 7.zip
  • 7. Array value assignemnet through slicing.mp4
    06:38
  • 8. import and modules.mp4
    01:51
  • 9.1 chapter 2 9.zip
  • 9. Special arrays.mp4
    05:09
  • 10. Class work no. 2.mp4
    03:27
  • 11.1 chapter 2 11.zip
  • 11. Solving classwork no. 2.mp4
    14:28
  • 1.1 chapter 3 1.zip
  • 1. Elementary operators with arrays.mp4
    03:06
  • 2.1 chapter 3 2.zip
  • 2. Broadcasting operations.mp4
    11:05
  • 3.1 chapter 3 3.zip
  • 3. Array addition.mp4
    05:33
  • 4. Operators priority.mp4
    02:05
  • 5.1 chapter 3 5.zip
  • 5. Array generation.mp4
    09:56
  • 6.1 chapter 3 6.zip
  • 6. Operation with ix .mp4
    04:10
  • 7.1 chapter 3 7.zip
  • 7. Rounding.mp4
    07:02
  • 8.1 chapter 3 8.zip
  • 8. Mathematical functions.mp4
    08:39
  • 9.1 chapter 3 9.zip
  • 9. Unique function.mp4
    01:55
  • 10.1 chapter 3 10.zip
  • 10. Sort function.mp4
    08:22
  • 11.1 chapter 3 11.zip
  • 11. Relational operators.mp4
    04:08
  • 12.1 chapter 3 12.zip
  • 12. Logical operators.mp4
    05:30
  • 13. Class work no 3.mp4
    03:38
  • 14.1 chapter 3 14.zip
  • 14. Solving classwork no 3.mp4
    18:26
  • 1.1 chapter 4 1.zip
  • 1. Conditional operations.mp4
    06:55
  • 2.1 chapter 4 2.zip
  • 2. for loops, part 1.mp4
    10:21
  • 3.1 chapter 4 3.zip
  • 3. or loops part 2.mp4
    08:39
  • 4.1 chapter 4 4.zip
  • 4. for loops part 3.mp4
    09:09
  • 5.1 chapter 4 5.zip
  • 5. break in for loops.mp4
    02:50
  • 6.1 chapter 4 6.zip
  • 6. continue in for loop.mp4
    02:32
  • 7.1 chapter 4 7.zip
  • 7. while loop.mp4
    07:06
  • 8.1 chapter 4 8.zip
  • 8. try except.mp4
    04:44
  • 9.1 chapter 4 9.zip
  • 9. List comprehension.mp4
    09:43
  • 10.1 chapter 4 10.zip
  • 10. Dictionary and tuple comprehension.mp4
    03:00
  • 11. Class work no 4.mp4
    04:59
  • 12.1 chapter 4 12.zip
  • 12. Solution to class work no. 4.mp4
    13:28
  • 1.1 chapter 5 1.zip
  • 1. Functions.mp4
    09:47
  • 2.1 chapter 5 2.zip
  • 2. Keywords arguments.mp4
    05:09
  • 3.1 chapter 5 3.zip
  • 3. Default values.mp4
    04:40
  • 4.1 chapter 5 4.zip
  • 4. Variable number of inputs args.mp4
    10:09
  • 5.1 chapter 5 5.zip
  • 5. Variable number of inputs kwargs.mp4
    07:06
  • 6.1 chapter 5 6.zip
  • 6. docstring.mp4
    04:05
  • 7.1 chapter 5 7.zip
  • 7. Anonymous functions.mp4
    03:07
  • 8. Modules.mp4
    03:32
  • 9. Function main .mp4
    03:35
  • 10. Packages.mp4
    05:25
  • 11. Class work no 5.mp4
    03:53
  • 12.1 chapter 5 12.zip
  • 12. Solution to class work no 5.mp4
    18:18
  • 1. Introduction to object oriented programming.mp4
    03:15
  • 2.1 chapter 6 2.zip
  • 2. Class declaration.mp4
    02:04
  • 3.1 chapter 6 3.zip
  • 3. Attribues.mp4
    09:30
  • 4.1 chapter 6 4.zip
  • 4. Properties.mp4
    12:15
  • 5.1 chapter 6 5.zip
  • 5. Methods.mp4
    03:13
  • 6. self .mp4
    01:16
  • 7. Class work no 6.mp4
    02:16
  • 8.1 chapter 6 8.zip
  • 8. Solution to class work no. 6.mp4
    13:27
  • Description


    Student will be introduced with Python fundamentals and will gain programming skills related to Python

    What You'll Learn?


    • Python fundamentals
    • Arrays and numpy library
    • Functions and operations with functions
    • Conditional operations, for/while loops
    • Class definition

    Who is this for?


  • The course is for aspiring programmer in Python
  • What You Need to Know?


  • No programming experience required
  • More details


    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.


    Who this course is for:

    • The course is for aspiring programmer in Python

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    Ardian Grezda
    Ardian Grezda
    Instructor's Courses
    I have more than 15 year experience in the following programming languages: C, C++, Python, .NET, etc.I have also experience in various database system: Oracle, MySQL, Microsoft SQL-server.I have 6 year experience as university lecturer in computer science subjects: Computer graphics, Image processing, Cryptography and Data security and Data structures. Also, I have 6 year experience as Python instructor and lecturer in Data Analysis and Visualization.
    Students take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.
    • language english
    • Training sessions 68
    • duration 7:31:02
    • Release Date 2023/12/16