Master Python Fundamentals: Practical Guide For Beginners
Date: 11 April 2023 | Posted by: mitsumi
Master Python Fundamentals: Practical Guide For Beginners
Published 4/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 903.70 MB | Duration: 3h 25m
Learning Python is a valuable skill that can help you in many areas of your life, including your career.
Published 4/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 903.70 MB | Duration: 3h 25m
Learning Python is a valuable skill that can help you in many areas of your life, including your career.
What you'll learn
Variables in Python
Value in Python
Data Types in Python
Dynamic Typing in Python
Floating Point Numbers in Python
Expressions in Python
Elementary Arithmetic Operators in Python
Precedence in Python
Truth Values (Boolean) in Python
String Literals in Python
Lists in Python
String Operators in Python
Relational Operators in Python
How to write code for the "Name Guessing Game" in Python
Requirements
A computer
Access to the internet
An interest in learning Python
High level of proficiency in English because of the technical language used in some of the lecture videos
Basic math knowledge: addition, subtraction, multiplication, division, knowledge of types of numbers such as integers and decimal numbers, exponentiation, etc
There are no other requirements, besides getting started!
Description
Welcome to our course "Master Python Fundamentals: Practical Guide for Beginners"! In this course, we will introduce you to the fundamentals of programming using Python, one of the most popular programming languages in the world.Throughout the course, you will learn about the following topics:• Variables• Values• Data Types• Dynamic Typing• Floating Point Numbers• Expressions• Elementary Arithmetic Operators• Precedence• Truth Values (Boolean)• String Literals• Lists• String Operators• Relational OperatorsDuring the course we are going to learn:1. Variables: Variables are used to store data in Python. We can assign values to variables using the assignment operator (=). Variables can be used to store different data types such as numbers, strings, and booleans. We can also perform operations on variables, such as arithmetic and string concatenation.2. Values: Values are the data that we assign to variables in Python. These can be numbers (integers, floating-point numbers), strings, and booleans (True or False). We can also use other data types like lists, dictionaries, and tuples as values in Python.3. Data Types: Data types define the type of data that a variable can hold in Python. Some of the commonly used data types in Python include integers, floating-point numbers, strings, booleans, lists, tuples, and dictionaries.4. Dynamic Typing: Dynamic Typing is a feature of Python that allows variables to change their data type during runtime. This means that we don't have to specify the data type of a variable when we declare it. Instead, Python automatically detects the data type based on the value assigned to the variable.5. Floating Point Numbers: Floating-point numbers are decimal numbers in Python. They are used to represent real numbers and can be assigned to variables just like integers.6. Expressions: Expressions are combinations of variables, values, and operators that can be evaluated to produce a result. They can be used to perform mathematical and logical operations in Python.7. Elementary Arithmetic Operators: Elementary Arithmetic Operators are used to perform basic arithmetic operations such as addition (+), subtraction (-), multiplication (*), division (/), and modulus (%).8. Precedence: Precedence is the order in which operators are evaluated in an expression. In Python, operators with higher precedence are evaluated first.9. Truth Values (Boolean): Boolean values are used to represent true/false or on/off conditions in Python. The two Boolean values in Python are True and False.10. String Literals: String literals are sequences of characters enclosed in single or double quotes in Python. They are used to represent text data.11. Lists: Lists are used to store a collection of items in Python. They can hold different data types and can be modified after creation.12. String Operators: String operators are used to perform operations on strings in Python. Some of the commonly used string operators include concatenation (+), repetition (*), and slicing ([]).13. Relational Operators: Relational Operators are used to compare two values or variables in Python. They include the equality operator (==), inequality operator (!=), greater than operator (>), greater than or equal to operator (>=), less than operator (
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