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Learn Python from scratch to hero

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Philip Bittok

2:53:35

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  • 1 - Getting Started.mp4
    02:48
  • 2 - Python Installation.mp4
    02:49
  • 3 - Python Tools.mp4
    04:35
  • 4 - Python Editors.mp4
    01:54
  • 5 - First Python Program.mp4
    09:12
  • 6 - Python Extensions.mp4
    06:53
  • 7 - Linting.mp4
    08:59
  • 8 - Formatting Code.mp4
    06:37
  • 9 - Running Python Code.mp4
    03:15
  • 10 - Python Implementations.mp4
    02:56
  • 11 - Executing Python Code.mp4
    03:44
  • 12 - Python Variables.mp4
    06:25
  • 13 - Variable Names.mp4
    03:42
  • 14 - Strings.mp4
    11:41
  • 15 - Escape Characters.mp4
    03:59
  • 16 - Formatted Strings.mp4
    04:11
  • 17 - String Functions.mp4
    13:23
  • 18 - Numbers.mp4
    08:39
  • 19 - Type Conversion.mp4
    10:34
  • 20 - Comparison Operators.mp4
    05:01
  • 21 - Conditional Statements.mp4
    09:13
  • 22 - Ternary Operator.mp4
    03:08
  • 23 - Logical Operators.mp4
    07:01
  • 24 - ShortCircuit.mp4
    03:21
  • 25 - Chaining Comparison Operators.mp4
    01:32
  • 26 - For Loops.mp4
    04:53
  • 27 - For Else.mp4
    03:31
  • 28 - Nested Loops.mp4
    02:13
  • 29 - Iterables.mp4
    04:39
  • 30 - While Loop.mp4
    09:35
  • 31 - Infinite Loops.mp4
    03:12
  • Description


    Learn the fundamentals of Python language, from introduction, data types, and control structures

    What You'll Learn?


    • Learn how to install Python in Windows and Mac and how to set the path
    • Write the first Python program and learn the various parts
    • Learn on control structures in Python, for example for loop, if, elif, else
    • Learn on Python functions and their roles in programming

    Who is this for?


  • Beginner Python programmers and those who are interested in data science
  • What You Need to Know?


  • No programming skills in required
  • More details


    Description

    Learning how to program in a computer language has become necessary. Whether someone wants to develop a system for their own, or want to learn how computer programs work. This course will enable the learner to understand the building blocks of Python language. An introduction to Python is the prerequisite for anyone planning to pursue data science as a career. Python is the core language in machine learning. It is designed simplistically. It has been designed in a way that will enable the student to embrace the syntax and examples. It is simplistic. Some examples are simple to understand and the explanations are understandable. It covers control structures, data types, and the basic syntax of Python language. It will teach you from beginner to advanced levels of programming. The package has the sense to teach Python. Whether it is you who wants to learn, your child, or your colleague, I can assure you with the course, you will learn all there is to know about Python programming. I have learned, through experience, how to get students to learn concepts, however technical. I will teach Python even to the ones who think they are not cut for programming. Finding a Python tutor who understands their role is hard.

    Who this course is for:

    • Beginner Python programmers and those who are interested in data science

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    Philip Bittok
    Philip Bittok
    Instructor's Courses
    I am Philip Bittok. As an accomplished professional in the realm of computer programming, I bring a wealth of expertise to the table. Armed with a master's degree in Information Technology, I have honed my coding skills in languages such as Python, Numpy, and Django. My proficiency extends beyond mere code execution; I excel in the art of translating complex technical concepts into comprehensive and articulate documents. In addition to my prowess in coding, I have seamlessly transitioned into the role of an educator. I find great fulfillment in sharing my knowledge and passion for programming, particularly specializing in teaching the intricacies of languages like C++ and JavaScript. As an educator, I am committed to fostering a learning environment that inspires curiosity and empowers students to navigate the dynamic landscape of programming with confidence.
    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 31
    • duration 2:53:35
    • Release Date 2024/03/04