Free Download 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.
Free Download 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 (<), and less than or equal to operator (<=).Why Choose THIS Course?Picking this seminar on Python for fledglings has many advantages. Consider enrolling in this course for the following reasons:1. Complete Education: This course covers a great many themes, including factors, information types, articulations, administrators, and that's just the beginning. You'll get a strong groundwork in Python programming that you can use as a take off platform for further developed subjects.2. Experiential Learning: You will have the opportunity to work on real-world projects throughout the course, including the final project, "Name Guessing Game." You'll get active involvement in Python programming, which will assist you with understanding how to involve it in reality.3. Beginner-Friendly: This course is meant for people who are just starting out and don't know much about programming. To begin this course, no prior knowledge of Python or programming is required. You will be instructed step-by-step throughout the course, and the content will be presented in a way that is simple to comprehend.4. Options for employment: Learning Python is a great way to expand your career options. From web development to data science, machine learning, and artificial intelligence, Python is utilized extensively in the industry. You will have a solid understanding of Python when you finish this course, which will be helpful in your job search.5. Independent Learning: You can learn at your own pace because this course is entirely online. You are not required to finish the material quickly or adhere to the class schedule. You can take your time and concentrate on the most difficult aspects.In general, anyone who wants to learn Python programming from scratch should take this course. This course is a great place to start, whether you want to start a new career or just learn a new skill.Who Is This Course For?This course is appropriate for anyone with any interest in getting the hang of programming and has practically zero related knowledge with Python. Additionally, it is ideal for students seeking a solid programming foundation.Students who are familiar with these subjects will be equipped with:1. the core components of the Python programming language's structure. They will be able to automate tasks, manipulate and analyze data, and write straightforward scripts and programs.2. Students will specifically be able to store and manipulate various types of information with the assistance of knowledge of variables and data types. They will be able to carry out intricate calculations and mathematical operations if they are able to comprehend dynamic typing and floating-point numbers. Students will be able to write and evaluate complex logical and arithmetic expressions if they are familiar with operators and expressions.3. Students will be able to manipulate and analyze text data if they are familiar with string literals and operators. They will be able to organize and manipulate larger amounts of data once they understand lists. Students will be able to compare and analyze data based on a set of criteria thanks to relational operators.4. In general, these fundamental topics are necessary for any Python programmer who is just starting out and will equip them with the knowledge and skills they will need to create more complex and sophisticated applications and programs in the future.Why must you enroll in the course?You can learn one of the most versatile and widely used programming languages by enrolling in this course. Python is a great option for beginners because of its simplicity and ease of use.Since this course is meant for newcomers, no prior programming knowledge is necessary. You only need to be willing to learn and have an interest in programming.What will you be able to do at the course's conclusion?Toward the finish of this course, you will actually want to compose Python programs that can play out various errands. You will likewise acquire the certainty to investigate further developed programming ideas and take on more complicated programming difficulties.You will be able to write a "Name Guessing Game" as your final project, which will test your programming skills and allow you to put what you've learned in the class into practice. You will be able to demonstrate your ability to code in Python and your newly acquired programming skills through this project.Additional advantages of learning Python:Learning Python is a useful skill that can assist you in a variety of life areas, including your career. Python is used a lot in a lot of different fields, like software development, data science, and machine learning. You will be able to take advantage of numerous job opportunities if you learn Python.All in all, this course is a great decision for anyone with any interest in getting the hang of programming and needs to acquire a strong groundwork in Python. By enrolling in this course, you will acquire a valuable set of skills that will benefit your career and many other aspects of your life. We anticipate assisting you with turning into a certain Python developer!What if you have questions?As if this course wasn't complete enough, we offer full support, answering any questions you have 7 days a week.This means you'll never find yourself stuck on one lesson for days on end. With our hand-holding guidance, you'll progress smoothly through this course without any major roadblocks.There's no risk either!This course comes with a full 30 day money-back guarantee. Meaning if you are not completely satisfied with the course or your progress, you will refund 100% of the course's payment, no questions aske.You either end up with Python skills, go on to develop great programs and potentially make an awesome career for yourself, or you try the course and simply get all your money back if you don't like it.Ready to get started, developer?Enrol now using the "Add to Cart" button on the right, and get started on your way to creative, advanced Python brilliance. Or, take this course for a free spin using the preview feature, so you know you're 100% certain this course is for you.See you at the course!
Overview
Section 1: Introduction
Lecture 1 Introduction 1: The review of the final project "Name guessing Game"
Lecture 2 Introduction 2: The review of the final project "Name guessing Game"
Lecture 3 Introduction 3: The review of the final project "Name guessing Game"
Section 2: Welcome to a new Profession: Python Developer
Lecture 4 How to start learning Python for beginners?
Lecture 5 Why to learn Python?
Lecture 6 Which version of Python do I need to use as a Beginner?
Lecture 7 Setting up Python
Lecture 8 Setting up Python 2
Lecture 9 Setting up Python 3
Section 3: Variables
Lecture 10 Variables in Python - Theory 1
Lecture 11 Variables in Python - Theory 2
Lecture 12 Variables in Python - Practice 1
Lecture 13 Variables in Python - Practice 2
Lecture 14 Variables in Python - Practice 3
Section 4: Values
Lecture 15 Values in Python - Theory 1
Lecture 16 Values in Python - Theory 2
Lecture 17 Values in Python - Practice 1
Lecture 18 Values in Python - Practice 2
Section 5: Data Types
Lecture 19 Data Types in Python - Theory 1
Lecture 20 Data Types in Python - Practice 1
Section 6: Difference between Values and Data Types
Lecture 21 What a Difference between Values and Data Types?
Lecture 22 Difference between Values and Data Types - Practice
Section 7: Dynamic Typing
Lecture 23 Dynamic Typing - Theory 1
Lecture 24 Dynamic Typing - Practice 1
Section 8: Floating Point Numbers
Lecture 25 Floating Point Numbers - Theory 1
Lecture 26 Floating Point Numbers - Practice 1
Section 9: Expressions
Lecture 27 Expressions - Theory 1
Lecture 28 Expressions - Practice 1
Section 10: Elementary Arithmetic Operators
Lecture 29 Elementary Arithmetic Operators - Theory 1
Lecture 30 Elementary Arithmetic Operators - Practice 1
Section 11: Precedence
Lecture 31 Precedence - Theory 1
Lecture 32 Precedence - - Practice 1
Section 12: Truth Values (Boolean)
Lecture 33 Truth Values (Boolean) - Theory 1
Lecture 34 Truth Values (Boolean) - Practice 1
Lecture 35 Truth Values (Boolean) - Practice 2
Section 13: String Literals
Lecture 36 String Literals - Theory 1
Lecture 37 String Literals - Practice 1
Lecture 38 String Literals - Practice 2
Section 14: Lists
Lecture 39 Lists - Theory 1
Lecture 40 Lists - Practice 1
Section 15: String Operators
Lecture 41 String Operators - Theory 1
Lecture 42 String Operators - Theory 2
Lecture 43 String Operators - Practice 1
Lecture 44 String Operators - Practice 2
Lecture 45 String Operators - Practice 3
Lecture 46 String Operators - Practice 4
Section 16: Relational Operators
Lecture 47 Relational Operators - Theory 1
Lecture 48 Relational Operators - Theory 2
Lecture 49 Relational Operators - Practice 1
Section 17: Final Project: "Name guessing game"
Lecture 50 Final Project: "Name guessing game" - Part 1
Lecture 51 Final Project: "Name guessing game" - Part 2
People interested in programming who have no prior programming experience,Beginner programmers who want to get into one of the most popular and loved languages in the world,For students who are looking to gain a solid foundation in programming concepts.,Anyone looking to to build the minimum Python programming skills necessary as a pre-requisites for moving into machine learning, data science, and artificial intelligence.,Anyone else who is interested in learning Python
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