Python For Everybody : Learn Python Programming MADE EASY from Udemy

Yes, Python developers are in high demand.

Python software engineers are also among the highest-paid software developers today, earning an average income of $150,000 a year.

The Python language is easy to learn, yet POWERFUL.

YouTube, Dropbox, Google, Instagram, Spotify, Reddit, Netflix, Pinterest - they are all developed using Python.

And most recently, ChatGPT is also written in Python.

Learning Python opens up the possibilities of a whole new career in Machine Learning and Data Science.

The course is presented in an easy-to-follow format with animation and graphics.

I put in my very best to make it as easy to understand as possible for everybody.

There will be no quizzes, no assignments, no exercises. These are too academic. The focus of this course is to reinforce the concepts through interesting video presentations.

This is a hands-on course that provides the student with step-by-step guidance in coding Python programs, explaining the syntax and concepts behind every piece of code that is shown.

Variables, Data Structures, Algorithms, Control Structures, Functions, Language Syntax, and more, are all taught in this course.

For the benefit of those who are new to programming, there is a video on what programming is all about.

A different approach from the usual instructor typing code teaching method has been adopted - the computer types the codes instead.

Free preview of some of the videos are available - without you having to pay a cent.

This will allow potential course buyers to make a well-informed decision before paying for it.

There are no prerequisites for this course.

This is a foundation course in Python that does not assume any knowledge of programming.

Also, remember to keep your expectations that this is supposed to be a beginners' course and does not go into intermediate or advanced Python.

As an instructor for a course that is for everybody who wants to learn programming in Python (“Python for Everybody”), it is imperative to cater to those who are new and have little to no knowledge of this subject.

Recap learning helps those who are completely new (this is a beginners’ course) and it has motivated me to create “in a nutshell” videos that are presented in a different format simply using slides only.

The effort to create just a short recap video is a challenging task for me - and for the slower learners, my extra effort is towards helping this group.

Fast learners and those who already have a programming background can always skip the "in a nutshell" videos - they are carved out as separate videos so that it is easy for you to do so.

This course does not claim to teach everything, just as no other courses can ever teach you everything you need to know about Python.

The main purpose of this course is to ensure students master the essential concepts of the Python language so that they will begin to LOVE the language.

Python variables, Python data types, Python string operations, Python data structures, Python operators, Python conditionals, Python loops, Python functions, Python modules, Python exception handling, Python file operations, Python virtual environments, Python pandas, Python OOP, Pythonic code, Python matplotlib - these topics are all covered in this course.

Many of these topics have Part 2 in the workings.

This course wants you to be inspired to learn Python.

Come on and join me in my Python For Everybody lessons.

So let's get started.

Cheers, and Happy Learning The Python Language.

One other thing :

There is no best instructor.

You should learn from other instructors as well.

Every instructor is different - So Am I.

But every instructor shares something in COMMON -

After taking the course - leave a rating.

And be honest and write truthfully whether it is a good or bad course.

If this course is bad, tell me truthfully so that I can further improve on it - that's when I become your student .

If this course is good, let others know so that they too can benefit from learning.

Everyone is still learning - instructors are NO exceptions.

Python Is For Everybody.

What's inside

Learning objectives

Essential concepts of python programming
Be inspired to continue learning and loving the python language
That python is the best beginner programming language
Learn python programming language syntax
How to install python on mac and windows
How to print hello world in python
Python variables
Python data types
Python string manipulation
Python string operations
Python functions
Python loops
Python operators
Python conditionals
Python data structures

Python is the most popular programming language
Python global variables
Python modules
Python exception handling
Python logical and physical lines
Python file operations
Python virtual environments
Python pandas
Pythonic code
Python object-oriented programming
Python special variables like __name__
Python matplotlib
Show more
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Essential concepts of python programming
Be inspired to continue learning and loving the python language
That python is the best beginner programming language
Learn python programming language syntax
How to install python on mac and windows
How to print hello world in python
Python variables
Python data types
Python string manipulation
Python string operations
Python functions
Python loops
Python operators
Python conditionals
Python data structures
Python is the most popular programming language
Python global variables
Python modules
Python exception handling
Python logical and physical lines
Python file operations
Python virtual environments
Python pandas
Pythonic code
Python object-oriented programming
Python special variables like __name__
Python matplotlib
Show more
Show less

Syllabus

Students will achieve a good understanding of the essential concepts of the Python Programming language.

Find out why you should learn Python and whether this course is for you.

Introduction - In A Nutshell

What to Expect - In A Nutshell

What is Programming

What is Programming - In A Nutshell

Installing Python

Installing Python - In A Nutshell

First Coding Lesson

First Coding Lesson - In A Nutshell

What are Variables

What are Variables - In A Nutshell

What are Data Types (1)

What are Data Types (1) - In A Nutshell

What are Data Types (2)

What are Data Types (2) - In A Nutshell

String Manipulation & Typecasting (1)

String Manipulation & Typecasting (1) - In A Nutshell

String Manipulation & Typecasting (2)

String Manipulation & Typecasting (2) - In A Nutshell

String Manipulation & Typecasting (3)

What are Data Structures (1)

What are Data Structures (2)

What are Data Structures (3)

What are Data Structures (4)

What are Operators (1)

What are Operators (2)

What are Conditionals (1)

What are Conditionals (2)

What are Loops (1)

What are Loops (2)

EXTRA ! - What are Functions (1) - In A Nutshell

EXTRA ! - What are Functions (2) - In A Nutshell

EXTRA ! - What are Functions (3) - In A Nutshell

EXTRA ! - What are Functions (4) - In A Nutshell

EXTRA ! - What are Functions (5) - In A Nutshell

EXTRA ! - What are Functions (6) - In A Nutshell

EXTRA ! - What are Functions (7) - In A Nutshell

EXTRA ! - Logical and Physical Lines in Python - In A Nutshell

EXTRA ! - What are Modules (1) - In A Nutshell

EXTRA ! - What are Modules (2) - In A Nutshell

EXTRA ! - Exception Handling in Python - In A Nutshell

EXTRA ! - File Operations in Python (1) - In A Nutshell

EXTRA ! - File Operations in Python (2) - In A Nutshell

EXTRA ! - What are Python Virtual Environments - In A Nutshell

EXTRA ! - What is Pandas (1) - The Nuts And Bolts

EXTRA ! - Pythonic Code (1) - The Nuts And Bolts

EXTRA ! - Python Object-Oriented Programming (1) - The Nuts And Bolts

EXTRA ! - What is __name__ - The Nuts And Bolts

EXTRA ! - What is matplotlib (1) - The Nuts And Bolts

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Covers essential Python concepts like variables, data types, and control structures, which are fundamental for building a strong programming foundation

Includes 'In A Nutshell' videos, which are designed to help slower learners grasp concepts and allow faster learners to skip ahead

Explores topics such as file operations, virtual environments, and object-oriented programming, which are relevant for real-world software development

Introduces Python libraries like Pandas and Matplotlib, which are essential tools for data analysis and visualization in the field of data science

Focuses on mastering essential concepts rather than teaching everything, which may leave learners needing further instruction on advanced topics

Does not include quizzes, assignments, or exercises, which may not suit learners who prefer active learning and immediate application of knowledge

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Python For Everybody : Learn Python Programming MADE EASY with these activities:

Review Basic Programming Concepts

Show steps

Solidify your understanding of fundamental programming concepts before diving into Python. This will make learning Python syntax and applying it to problem-solving much easier.

Browse courses on Programming Fundamentals

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Review variables, data types, and control structures.
Practice writing simple algorithms and flowcharts.
Complete online quizzes on basic programming concepts.

Review "Python Crash Course"

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Reinforce your understanding of Python fundamentals with a project-based approach. This book complements the course by providing practical exercises and real-world examples.

View Python Crash Course, 2nd Edition: A Hands-On,... on Amazon

Show steps

Read the first half of the book covering Python basics.
Complete at least two of the projects in the book.
Compare your solutions with the book's solutions.

Create a Python Cheat Sheet

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Consolidate your knowledge by creating a cheat sheet of Python syntax, data structures, and common functions. This will serve as a valuable reference for future projects.

Show steps

Review course materials and identify key concepts.
Organize the cheat sheet by topic (e.g., variables, loops).
Include code examples and brief explanations.
Share your cheat sheet with other learners.

Four other activities

Expand to see all activities and additional details

Show all seven activities

Help Others in Online Forums

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Reinforce your understanding by helping other students in online forums. Explaining concepts to others will solidify your own knowledge and identify areas where you need further clarification.

Show steps

Find a Python-related online forum or community.
Answer questions from other learners.
Provide clear and concise explanations.

Practice Python Coding Challenges

Show steps

Sharpen your Python skills by solving coding challenges on platforms like HackerRank or LeetCode. This will improve your problem-solving abilities and familiarity with Python syntax.

Show steps

Choose a coding challenge platform like HackerRank.
Solve at least three Python challenges per week.
Review solutions and learn from mistakes.

Build a Simple Python Application

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Apply your Python knowledge by building a small application, such as a calculator or a to-do list. This will solidify your understanding of the language and its practical applications.

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Choose a simple application to build.
Plan the application's features and functionality.
Write the Python code for the application.
Test and debug the application thoroughly.

Dive into "Automate the Boring Stuff with Python"

Show steps

Explore practical applications of Python by learning how to automate common tasks. This book provides real-world examples and projects that will enhance your Python skills.

View Automate the Boring Stuff with Python, 2nd... on Amazon

Show steps

Adapt the projects to your own needs.
Read chapters related to your interests (e.g., web scraping).
Complete the projects at the end of each chapter.

Career center

Learners who complete Python For Everybody : Learn Python Programming MADE EASY will develop knowledge and skills that may be useful to these careers:

Python Developer

A Python developer specializes in developing applications using the Python language. This course, which is focused entirely on Python, provides a comprehensive introduction to the language, making it suitable for those seeking to use Python as their primary development tool. The course covers a wide range of Python topics, such as variables, data structures, control structures, loops, functions, and modules, which are all essential for a Python developer. This course builds a strong foundation and prepares you to be a Python developer.

See salaries and explore the career path for Python Developer

Software Developer

A software developer designs, develops, and maintains software applications. This role often involves coding, debugging, and testing software. This course provides a foundational understanding of Python, a language commonly used in software development. The course covers core concepts such as variables, data structures, algorithms, control structures, and functions, which are essential for any aspiring software developer. By learning these fundamentals, you'll be better equipped to tackle real world development projects and build a solid background in software development.

See salaries and explore the career path for Software Developer

Data Scientist

A data scientist analyzes large datasets to extract meaningful insights, often using programming languages for data manipulation and modeling. Python is a very popular language in the data science field. This course's coverage of Python fundamentals, such as data structures, file operations and the pandas library, helps build a foundation for data handling and analysis. Further your data science skills by learning how to organize and interpret data effectively using Python. You will have to go deeper into pandas and matplotlib for data analysis purposes.

See salaries and explore the career path for Data Scientist

Data Analyst

A data analyst interprets data to identify trends and insights that support decision making. This often involves data manipulation and analysis using tools and programming languages like Python. This course, with its focus on data structures and basic data manipulation in Python, may help aspiring data analysts. By learning Python, you will have more control over the process of data analysis. A good foundation is needed before one explores data analysis tools and techniques.

See salaries and explore the career path for Data Analyst

Backend Developer

A backend developer focuses on the server-side logic of applications, often working with databases, APIs, and servers. Python is frequently used in backend development. This course introduces key programming concepts and uses Python which may help build the foundations for backend development. This course is a good start for those that want to focus on backend web services. You will need to continue your education by learning frameworks and web libraries.

See salaries and explore the career path for Backend Developer

Research Assistant

A research assistant supports research activities often with data analysis and coding skills that are used for data processing. Python is useful in this role. This course teaches the fundamentals of Python, which will help develop a base for data processing and analysis. Although it does not teach research methodologies, it does provide important skills for this kind of work. Data analysis, file operations, and data structures are all covered in this course. This course may provide the tools you need.

See salaries and explore the career path for Research Assistant

Scientific Programmer

A scientific programmer uses programming languages to develop code for scientific research and simulations. Python is an important tool in this field. This course provides an introduction to the Python that is needed to work with numerical data. The course will introduce you to a programming language that you can use to develop tools and processes for research. You will need to continue your education to learn libraries specific to scientific use.

See salaries and explore the career path for Scientific Programmer

Web Developer

A web developer creates and maintains websites and web applications. Proficiency in programming languages, including Python, is often needed to build dynamic websites. This course, designed to teach the fundamentals of Python, introduces programming concepts crucial for this kind of work. This course provides good first steps toward becoming a web developer, and it offers hands on practice with real code. A web developer will need to move to frameworks and web libraries after understanding Python fundamentals.

See salaries and explore the career path for Web Developer

DevOps Engineer

A DevOps engineer focuses on streamlining software development and deployment processes through automation. This role requires scripting and coding skills, especially in Python. This course, by teaching the basics of Python programming, helps build the foundation for understanding automation and scripting, which are all important parts of DevOps. The course does not, by itself, qualify one to work in DevOps, but it provides a starting point.

See salaries and explore the career path for DevOps Engineer

Scripting Engineer

A scripting engineer develops and implements scripts to automate tasks and improve workflows. Python is often used in scripting due to its readability and versatility. This course, by covering Python fundamentals, helps build the basic skills required for scripting. You will learn to program and gain skills that will allow you to create scripts that solve real problems. This course may help you start on this path.

See salaries and explore the career path for Scripting Engineer

Machine Learning Engineer

A machine learning engineer builds and deploys machine learning models. This role requires a strong understanding of programming, especially Python, and machine learning algorithms. This course, by teaching the basics of Python syntax, variables, functions, and data structures, may help build a foundation for understanding machine learning. While this course does not directly teach machine learning, it does provide the necessary base knowledge for understanding more advanced topics. This course is a step in the right direction if this is your goal.

See salaries and explore the career path for Machine Learning Engineer

Quality Assurance Engineer

A quality assurance engineer is responsible for testing and ensuring software quality. This role often involves using programming as part of the testing process. This course, with its focus on programming in Python, may help a quality assurance engineer to test software with more flexibility and control. The course does not, by itself, prepare someone for testing, but it is a good prerequisite for automation testing.

See salaries and explore the career path for Quality Assurance Engineer

Embedded Systems Engineer

An embedded systems engineer works with computer systems that are a part of a larger system and often has to use programming to interface with hardware. This course teaching Python will provide a useful tool for an embedded systems engineer who may need automation and scripting. This course provides the basic skills needed for using Python in this field. This course may be a good place to start.

See salaries and explore the career path for Embedded Systems Engineer

Game Developer

A game developer designs and builds video games using coding and software development. Though Python is not the main language of many game engines, it is still useful for scripting and tool development. This course may be a starting point for somebody who wants to be a game developer. It builds a foundational knowledge of programming, which is a must for such a career. Further study of game development frameworks is needed after this course.

See salaries and explore the career path for Game Developer

Automation Engineer

An automation engineer creates and implements automated solutions to improve efficiency and reduce manual work in the workplace. This role requires understanding and implementation of programming. This course, by teaching you to code in Python, may help build the necessary skills to approach automation tasks and projects. The course does not address the nuances of this field, but one must first learn the fundamentals of programming to have any chance of success in automation. This course will put you on track.

See salaries and explore the career path for Automation Engineer

Python For Everybody

Learn Python Programming MADE EASY

What's inside

Learning objectives

Syllabus

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Activities

Career center

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