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Andreas Exadaktylos

(with Python 3.12)

Start coding in Python immediately.    

If you are a beginner in Programming, then this course will help you learn Python Programming fast. Python is an incredibly efficient language: your programs will do more in fewer lines of code than many other languages would require. It is also used in scientific fields for academic research and applied work.   

Why you should take this Python course:

Read more

(with Python 3.12)

Start coding in Python immediately.    

If you are a beginner in Programming, then this course will help you learn Python Programming fast. Python is an incredibly efficient language: your programs will do more in fewer lines of code than many other languages would require. It is also used in scientific fields for academic research and applied work.   

Why you should take this Python course:

  • It’s the Perfect Length: The course is just 12 hours long, so you’ll actually be able to finish it and get your certificate.

  • It’s Practical: You actually use Python to create things. You can see you’ve understood because you make Python projects that work.

My goal was to create a Course for people of any age who have never programmed in Python before or have never programmed at all, so you can build programs that work.   

The course is full of examples and projects that are carefully chosen to demonstrate each concept so that you can gain a deeper understand of the language. It is designed to serve as a single, all-inclusive learning resource for all Python newcomers, whether they will be using Python 2.X, Python 3.X, or both   

We cover a wide variety of topics, including:

  • Command Line Basics

  • Installing Python

  • Running Python Code

  • Strings

  • Lists

  • Dictionaries

  • Tuples

  • Sets

  • Number Data Types

  • Print Formatting

  • Functions

  • Scope

  • Built-in Functions

  • Debugging and Error Handling

  • Modules

  • Object Oriented Programming

  • Inheritance

  • File I/O

  • Advanced Methods

  • and much more.

Are you looking to learn practical Python Programming you can put to use instantly? If so, then this is the course for you. It’s entirely project based and it’s full of examples which are fully explained and easy to understand. It has been recorder in full HD 1080p. If you get stacked don’t worry. I have fast and fully support through the discussion board.

Try out the course for a full 30 days, with a Udemy-approved Zero Risk, 30 Day 100% Money Back Guarantee. You have absolutely nothing to lose and everything to gain.

At the end of this Python class you will be given a Certificate of Completion. Python is a great language to learn, so enroll in this course and let’s get started.

Enroll now

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What's inside

Learning objectives

  • Go from a total beginner to a confident python programmer
  • Understand and implement basic python code
  • Automate tasks on the computer by writing simple python programs
  • Build python projects
  • Be able to program in python professionally

Syllabus

Course Overview

Hi, I’m Andreas and I want to thank you for taking this course on Python Programming for Beginners.

Platform-related issues: Blurry video or missing audio are out of our control. Please check your Internet Connection. All videos should be crystal clear!

To change the resolution simply click the Gear Icon at the bottom right corner, to access settings, where you can adjust resolution or report technical issues. Try using the "Auto" setting (1080p) instead of manually selecting a resolution (ex.720p). If you continue to experience problems, click "Report an Issue" (using the gear icon) or e-mail support@udemy.com


  1. Please click on the name of the file and download the Project_Files.zip File. It has all the Python Project Files . They are  the same I use. If resources are available elsewhere, you will see a folder icon in the curriculum shown to the right of the video player. Simply click to expand the folder, and click each file to download.Also, our course python files can be found at this link:

    https://github.com/MellonTraining/Python


  2. Also, download the Course Study Tracker : Course-Study-Plan-Python.xlsx. It will help you track your progress


  3. Certificate of Completion: Once the progress bar above your video player reaches 100%, simply click the trophy icon to download your certificate of completion. If you still have problems to get your Certificate of Completion, please check out this Video


  4. Ratings & Reviews: Udemy may prompt you very early in the course to leave a Review; please feel free to discard the prompt until you are ready to leave a rating. You may submit or update your rating at any point from the course dashboard, by clicking the stars next to the progress bar, in the top right corner of your screen


  5. Q&A Forum: If you get stuck, please search the Q&A forum first, as many questions have already been answered there. For tips on using the Q&A tool, check out this video. If you have any questions I'll be more than happy to help you.


  6. Captions: Click "Transcipt" or "Captions" in the lower right to view transcripts or captions


Enjoy!

Read more

Hello students and welcome to this new lecture about Variables! Variables are names given to data that we need to store and manipulate in our programs.

Before we can write our first Python program, we have to download the appropriate interpreter for our computers.

In this lecture, we are going to learn how to use the IDLE program that comes bundled with our Python interpreter. We’ll be writing our code using the IDLE program.

Today I’m exciting as we are going to write our very first program in python.

In this lecture we are going to cover how to find help when you’re stuck. Also you’ll learn the best web pages and resources for Python questions and answers. So let’s get started!

In this lecture we’re going to learn different ways to format your print statements. So let’s go ahead and get started!

In this lecture, we are going to learn about basic operators and we will do a dozen of examples to fully understand them!

In this video you are going to learn how to use the 3 most important boolean operators and how to chain multiple comparisons.

Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Starts with command line basics and installing Python, which provides a gentle introduction for individuals with no prior programming experience
Covers strings, lists, dictionaries, tuples, and sets, which are fundamental data structures in Python and essential for building more complex programs
Explores object-oriented programming concepts like inheritance, which are crucial for developing maintainable and scalable Python applications
Includes debugging and error handling, which are vital skills for writing robust and reliable Python code and for troubleshooting common issues
Uses Python 3.12, which is a relatively recent version, so learners can be confident that they are learning current and relevant material
Requires learners to download and install Python and a code editor, which may pose a challenge for some learners who are not comfortable with software installation

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Reviews summary

Python fundamentals for absolute beginners

According to learners, this course provides a solid foundation for absolute beginners looking to learn Python quickly. Many highlight the clear explanations and helpful hands-on projects as key strengths that make the material easy to grasp and apply. While some found the pace fast, requiring dedication to complete within the advertised timeframe, overall feedback indicates it is a highly effective starting point for those with no prior coding experience. The instructor's support in the Q&A forums is also frequently praised by students.
Excellent starting point, but not comprehensive
"This course provides a solid base, but I know I need to learn more advanced topics after finishing it."
"It's a great intro to the fundamentals, but don't expect to be an expert programmer after just this course."
"Covers the core concepts well, but the depth is limited due to the course's focus on speed and beginners."
Instructor is helpful in Q&A forums
"The instructor was very responsive and helpful on the discussion board whenever I got stuck."
"Got quick answers to my questions in the Q&A section, which is really important for learning."
"Appreciate the support provided via the Q&A. It makes a big difference when you're learning solo."
Instructor explains complex topics simply
"The instructor explains concepts clearly and concisely, making it easy for someone with zero background."
"He breaks down difficult topics into easy-to-understand parts, which is crucial for beginners."
"Great teaching style, very patient with beginners and goes through examples thoroughly."
Learn by doing with hands-on coding
"The hands-on coding and projects are the strongest part of the course for me, it really helped solidify concepts."
"I appreciated the practical exercises after each topic; building small programs helped solidify my understanding."
"Applying what I learned immediately through the projects was very effective for remembering things."
Moves quickly, challenging for true beginners
"Learning Python in a week is ambitious, and the pace reflects that. Be prepared to put in serious time."
"It might be too fast if you have absolutely no prior coding experience; I had to pause and rewatch a lot."
"The course covers a lot of ground quickly, which is great if you can keep up, but can be overwhelming."

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 Absolute Beginners: Learn Python in a Week! with these activities:
Review Basic Programming Concepts
Reinforce fundamental programming concepts like variables, data types, and control flow to prepare for Python-specific syntax and logic.
Browse courses on Programming Fundamentals
Show steps
  • Review notes from any prior programming experience.
  • Complete online quizzes on basic programming concepts.
  • Write pseudocode for simple programming problems.
Read 'Python Crash Course'
Supplement course material with a comprehensive guide that reinforces fundamental concepts and provides additional practice exercises.
Show steps
  • Obtain a copy of 'Python Crash Course'.
  • Read the chapters relevant to the course topics.
  • Complete the exercises at the end of each chapter.
Practice String Manipulation Exercises
Strengthen understanding of string manipulation by completing coding exercises that involve slicing, concatenation, and formatting.
Show steps
  • Find online coding platforms with Python string exercises.
  • Solve at least five string manipulation problems.
  • Review solutions and understand different approaches.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Help Others on Python Forums
Solidify your understanding by helping other beginners on Python forums, reinforcing your knowledge and identifying areas where you may need further clarification.
Show steps
  • Find online Python forums or communities.
  • Browse the forums for questions from other beginners.
  • Provide helpful and accurate answers to their questions.
Create a Python Cheat Sheet
Consolidate knowledge by creating a Python cheat sheet that summarizes key concepts, syntax, and common functions covered in the course.
Show steps
  • Review course materials and identify key concepts.
  • Organize the cheat sheet by topic.
  • Include code examples for each concept.
  • Share the cheat sheet with other learners.
Build a Simple Text-Based Game
Apply learned Python concepts by developing a small text-based game, reinforcing understanding of user input, conditional statements, and loops.
Show steps
  • Design the game's rules and storyline.
  • Write Python code to implement the game logic.
  • Test and debug the game thoroughly.
  • Add comments to the code for clarity.
Read 'Automate the Boring Stuff with Python'
Explore practical applications of Python by reading a book focused on automating tasks, reinforcing understanding of core concepts through real-world examples.
Show steps
  • Acquire a copy of 'Automate the Boring Stuff with Python'.
  • Work through the examples and exercises in the book.
  • Adapt the examples to automate your own tasks.

Career center

Learners who complete Python for Absolute Beginners: Learn Python in a Week! will develop knowledge and skills that may be useful to these careers:
Python Programmer
Python programmer is a broad role, but in general, it refers to someone who develops software using the Python programming language. This course is especially useful for a beginner Python programmer. It offers a comprehensive introduction to the language, teaching you from the ground up how to work through programming concepts such as file input and output, object oriented programming, and debugging. The course's project-based approach makes it especially suitable for those eager to start programming. This provides a practical, hands-on way to learn the language.
Software Developer
A software developer uses programming languages like Python to create applications and systems. This course, designed for absolute beginners, will help a prospective software developer build a foundation in Python. The course covers practical skills such as writing and debugging code, creating functions, and utilizing object-oriented programming, which are all essential for a developer. This course will help you create your first projects, and prepare you for more advanced work. It provides a solid introduction and allows learners to progress quickly with hands-on exercises.
Data Analyst
A data analyst uses programming skills to analyze data to inform business decisions, and Python is one of the most common languages used. This course will help you as an aspiring data analyst to begin programming in Python quickly. This course teaches Python fundamentals such as data structures like lists and dictionaries, and how to write functions to manipulate data. The course also introduces file input and output, which are necessary for working with data from different sources. This will help a data analyst gain the essential Python skills needed to succeed.
Automation Engineer
An automation engineer develops and implements automated processes, often using programming to improve efficiency and reduce manual labor. This Python course is a great starting point for anyone interested in automation. It offers practical projects and examples that will help to understand the language. The course specifically covers creating functions, using loops, and handling files which are common tasks in automation of computer and robotic tasks. For anyone beginning in automation, this course will help them build core competencies in Python.
Web Developer
A web developer builds and maintains websites, often using back-end languages like Python. This course can help you start building a foundation in Python, learning the core skills that are essential for back-end development. The course is very practical, and it covers topics including functions, object oriented programming, and error handling. All of these skills are useful for any aspiring web developers who want to use Python for server side programming. The course builds a great foundation for further study.
Data Scientist
A data scientist uses programming, statistics, and machine learning to derive insights from data. This course may be useful as a starting point for an aspiring data scientist to start working in Python. The course covers the basics of Python programming from the ground up, and introduces core concepts such as data structures, functions, debugging, and object oriented programming. This course will help anyone who wants to begin using Python for data science work.
Quality Assurance Engineer
A quality assurance engineer uses programming to test and validate software. This course may be a starting point for engineers who want to use Python to automate testing. The course teaches fundamental programming concepts and how to implement them in Python. This course will be especially useful to learn about debugging, file handling and object oriented programming. These concepts will help a quality engineer develop software tests.
Scientific Programmer
A scientific programmer writes code to solve complex scientific problems using tools like Python. This course may be useful to an aspiring scientific programmer, as it introduces the Python language from the very beginning. The course provides a strong foundation in fundamental programming concepts, such as writing functions, using data structures, and building practical projects. This will provide a good introduction to the language.
Game Developer
A game developer creates games for various platforms, and Python is used frequently for game scripting, tools development, and prototyping. While this course is for beginners learning the basics of the language, it may be helpful to those who want to work as a game developer to learn the fundamentals of Python. The course covers core programming concepts applicable to game development, such as functions, loops, and object-oriented programming. This will help a game developer who needs to start learning the language.
Research Assistant
A research assistant supports research projects often using scripting languages like Python. This course may be helpful for someone who wants to use Python for data analysis, text processing, and automation in research. The course teaches Python from the ground up and covers all the basics. The course will be useful to begin scripting everyday tasks and support research projects.
Database Administrator
A database administrator uses databases and programming to store and manage data. This course may be useful to database administrators who want to learn how to use Python to manage data and automate database tasks. The course introduces core programming concepts such as functions and file input and output. It may help administrators who wish to automate common database tasks with Python.
Technology Consultant
A technology consultant provides expert advice and guidance on technology related matters. This course may be useful to a technology consultant who wants to learn the basics of the Python language. The course provides a broad introduction to the language. It may be helpful for those who interface with engineering teams and discuss the technical aspects of a project.
Technical Writer
A technical writer creates documentation for technical products. This course may be useful to a technical writer who wants to start programming in Python. The course introduces some programming fundamentals, and will provide writers with an understanding of basic programming concepts. This course may be useful for documentation of Python projects and help the technical writer to understand the code itself.
Technical Support Specialist
A technical support specialist helps users with technical issues, and this course may be useful as an introduction to Python programming. It will help a tech support specialist to understand source code, and implement basic scripts. The course introduces core Python concepts, such as file handling, debugging and printing formatted output. Understanding of these concepts may be useful to help diagnose complex user problems.
Project Manager
A project manager oversees projects and teams, often needing to understand the technical aspects. This course may be helpful for project managers who want to understand the basics of Python programming. The course provides a broad overview of fundamental programming concepts. A project manager who understands technology may make better informed decisions. This course introduces programming concepts useful in tech.

Reading list

We've selected two books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Python for Absolute Beginners: Learn Python in a Week!.
Python Crash Course is an excellent resource for beginners learning Python. It provides a hands-on, project-based approach to learning, making it easy to grasp fundamental concepts. is particularly useful for solidifying the skills taught in the course through practical application. It is often used as a textbook in introductory Python courses.
Focuses on practical applications of Python for automating everyday tasks. It's a great resource for learning how to use Python to solve real-world problems, which can greatly enhance your understanding and retention of the language. While not strictly necessary for the course, it provides valuable context and motivation for learning Python. It is also a popular choice for self-learners and professionals looking to improve their efficiency.

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