Name: BEST PYTHON Beginners Course - PYTHON KITCHEN
Rating: 4.7 (23 reviews)

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Created byOzarc Network

Last updated 6/2024

English

What you'll learn

Understand the fundamental concepts of Python programming, including variables, data types, and data structures.
Learn how to create and manipulate variables to store and retrieve data in Python.
Gain knowledge of different data types such as integers, floats, strings, booleans, and NoneType, and understand their specific use cases.
Explore various data structures in Python, including lists, tuples, sets, and dictionaries, and learn how to perform operations on them.
Develop the ability to perform arithmetic operations on numbers and concatenate strings to create meaningful outputs.
Learn how to use logical operators to evaluate conditions and make decisions in Python programs.
Understand the concept of indexing and slicing strings to extract specific characters or substrings.
Learn how to find the length of a string and use it for various purposes in Python programs.
Gain proficiency in using the type() function to identify the data type of a variable and ensure proper data handling.
Develop problem-solving skills by applying the learned concepts to real-world scenarios and creating functional Python programs.
Learn how to use the len() function to determine the length of a data structure or string.
Understand the concept of dynamic typing in Python and how it allows for flexible variable assignment.
Gain familiarity with the concept of boolean logic and how it can be used to make decisions in programming.
Develop the ability to combine and manipulate data types and data structures to solve complex problems.
Gain confidence in writing efficient and effective Python code by applying the learned concepts and best practices.

Course content

4 sections • 29 lectures • 1h 44m total length

Introduction6:24
Master Python from ground up with a hands-on, beginner-friendly approach that moves beyond parrot learning to explain why a Python variable works, using visual memory association learning and reinforcement learning.
Google Colab7:19
Learn to code in Google Colab, an online, install-free platform using notebooks with code and text cells, run code, save to Google Drive, and share notebooks.

Variables Intro2:25
Learn how variables act as memory containers in Python, storing data with names for easy retrieval and flexible data types like numbers, text, and lists, and modify values via assignment.
Variable Assignment Intro1:49
Variable Assignment Single1:59
Create a named variable called Tupperware, assign a string value like carrots using the assignment operator, and use the print statement to reveal the variable’s contents in Python.
Variable Assignment Multiple3:15
Learn to create multiple variables in Python, assign distinct values, and print statements to display one or more variables using single-line and multi-line assignments.
Variable Assignment Chained4:33
Dynamically Typed3:51
Explore dynamic typing in Python, where variables need no declared types, can hold multiple data types, and can be reassigned, including through multiple assignments.
Variable Labeling2:42
Label variables with descriptive names to replace generic placeholders, organize code like labeled containers, and use multiple assignment and print statements to reveal values clearly.
Adding More Foods1:48
Explore grouping vegetables in a Python tuple, print the contents, and access items with indexing or separate variables, using carrots, spinach, and onions as examples.
Unique Variable Labels3:49
Learn to distinguish variable names from their values and use self-descriptive labels like carrot_slices to improve code readability and maintainability.
Variable Naming Rules3:34
Learn Python variable naming rules and best practices. Create descriptive, case-sensitive names using letters, numbers, and underscores, starting with a letter or underscore and avoiding spaces and symbols.
Variable Case Styles4:32
Learn how Pep8 guides Python variable case styles to improve readability, including snake case, camel case, Pascal case, and constant case.
Reserved Keywords1:40
Learn to avoid using reserved keywords as Python variable names, recognize built-in names like list and STR, and use editor highlights or help keywords to view all reserved words.
Variables Conclusion2:31
Master Python variables by creating, assigning, accessing, and updating data with dynamic typing and descriptive names using snake, camel, or Pascal case.

Data Types & Data Structures Intro1:21
Learn how Python variables hold data, differentiate data types as building blocks, and use data structures to organize, combine, and manage complex data.
Data Types Intro2:32
Integers1:04
type() Function1:00
Python Operators12:04
Explore Python arithmetic operators—add, subtract, multiply, and divide using integer and float values with practical apple-variety examples; learn rounding, type conversion, and how these affect real-world calculations.
Python Strings3:48
Python String Indexing4:03
Python len() Function2:10
Python Booleans7:42
Explore booleans in Python, learn how bool values represent true or false, and use and, or, and not to build complex conditions with apples.

Data Structures Intro2:17
Explore Python data structures—lists, tuples, sets, and dictionaries—contrast their behavior, mutability, and use cases, and learn how to choose the right structure for efficient code.
Python Lists2:53
Learn how python lists are ordered and mutable, able to be changed or removed. See square brackets, indexing, and the append and remove methods in action with apple varieties.
Python Tuples2:19
Python Sets3:50
Python Dictionaries5:40
Explore how Python dictionaries map unique keys to descriptions via key-value pairs. Observe that keys are unique and immutable, while values are mutable and ordered.

Requirements

Computer or laptop with an internet connection
Gmail account to access Google Drive and Colab

Description

Hello and welcome to Python Kitchen, the ultimate course that takes you beyond just learning Python, but helps you to understand it for life!

Let's dive right into what this course is all about and why you certainly shouldn't miss out on joining in on the fun.

Following my own struggles with learning programming, I decided to craft a Python course that alleviates the frustration I grappled with for months. The goal is to help others such as you relish the art of coding instead of fearing it.

I want you to achieve forward momentum of learning and understating Python within days, if not hours, instead of weeks or months.

I couldn't find a new approach to learning Python that was complete, straightforward, and interactive. So i decided to make my own and thus, the Python Kitchen was born.

Python Kitchen is not just for absolute beginners, but also offers an enriching learning experience that employs fundamental learning techniques to the fullest. The inspiration behind the name, Python Kitchen, comes from our day-to-day life in the kitchen. Just as you learn to cook by doing, Python Kitchen uses a hands-on approach to learning, making complex coding concepts easier to grasp.

We kick off from the very basics, introducing you to core concepts such as variables, data types, and data structures. As the course progresses, we delve into more advanced topics like logical operators, string manipulation, and working with different data structures.

In this course, you don't just memorize lines of code. Instead, we ensure you understand why and how they work, thanks to visual aids like photos, tables, and diagrams. This helps you quickly and permanently retain the information. This reinforcement of knowledge ensures you understand and remember what you've learnt, enabling you to write your own code for the rest of your life without any crutches.

Python Kitchen doesn't stop at the how-to's. It delves into the logic and reasoning behind each line of code, offering a holistic understanding of programming. It's the recipe I wish I'd had when I embarked on my coding journey. I've been where you are, and I understand the struggles. This course is designed to be the picture on the box I wish I'd had - clear, easy to follow, with all pieces fitting neatly together.

By the end of this journey, you'll have a solid foundation in Python programming, and you'll be able to write efficient and effective Python code, solve real-world problems, and even venture into a career in programming if you wish. Python is widely used in various industries, including web development, data analysis, artificial intelligence, and more, making it an invaluable skill in today's job market.

So don’t miss out on this opportunity to start learning Python in a way that's engaging, intuitive, and dare I say, fun. Welcome to Python Kitchen. Let's get cooking!

Why Take this Course?

This course is designed for beginners who are new to programming and want to learn Python. It is suitable for individuals with little to no prior coding experience. Whether you are a student, a professional looking to enhance your skills, or simply someone interested in learning a new programming language, this course will provide you with a solid foundation in Python programming.

No prior knowledge of programming or Python is required to enroll in this course. The content is presented in a beginner-friendly manner, with clear explanations and examples to help you grasp the concepts easily. The course is structured to gradually introduce you to the core concepts of Python, making it accessible for learners of all backgrounds.

By the end of this course, you will have a strong understanding of Python variables, data types, and data structures, and be able to apply this knowledge to write basic Python programs. Whether you are interested in pursuing a career in programming or simply want to gain a new skill, this course will provide you with the necessary foundation to continue your learning journey in Python programming.

Benefits

- No prior knowledge of programming or Python required

- Content presented in a beginner-friendly manner

- Clear explanations and examples provided

- Gradual introduction to core concepts of Python

- Accessible for learners of all backgrounds

- Gain a solid understanding of Python variables, data types, and data structures

- Ability to write basic Python programs

- Foundation for further learning in Python programming

- Suitable for those interested in pursuing a career in programming

- Opportunity to gain a valuable and in-demand skill

Who this course is for:

Beginners who are new to programming and want to learn Python
Individuals with little to no prior coding experience
Students looking to enhance their programming skills
Professionals seeking to add Python to their skillset
Anyone interested in learning a new programming language

What you'll learn

Explore related topics

Course content

Introduction2 lectures • 14min

Variables13 lectures • 38min

Data Types9 lectures • 36min

Python Data Structures5 lectures • 17min

Requirements

Description

Who this course is for: