Python Programmer
Python Programmer
Learn the fundamentals of Python programming with our comprehensive tutorial on input and output! In this beginner-friendly guide, we cover everything you need to know to start using Python effectively, from basic user input to displaying output. Whether you're new to programming or just brushing up on your skills, this tutorial will set you on the right path to mastering Python.
This tutorial will cover:
- Print Statements
- How to use variables
- Input function
- Integer type conversion
- And more...
👍 Don't forget to like, share, and subscribe for more Python tutorials, programming tips, and coding insights!
Community Engagement:
Join the conversation beyond YouTube! Connect with me on Instagram (link in channel bio) and Twitter (also linked in channel bio), where you can stay updated on upcoming tutorials, engage with fellow learners, and share your Python projects. I also have a GitHub page (also linked in channel bio) where I will be uploading each tutorial onto when they are finished.
Embark on your Python learning journey with our comprehensive guide! This video is designed for those who want to delve into the world of Python programming. We'll start by exploring conditional statements, the backbone of decision-making in Python. You'll learn about if, elif, and else statements, and how they can be used to control the flow of your programs.
Next, we'll dive into string methods, which are essential tools for manipulating and analyzing text data in Python. We'll cover methods like upper(), lower(), replace(), join(), and more, with plenty of examples to help you understand their usage.
Whether you're a beginner just starting out or an intermediate programmer looking to brush up on your skills, this video has something for everyone. By the end of this tutorial, you'll have a solid understanding of conditional statements and string methods in Python, and be well on your way to becoming a proficient Python programmer. Don't miss out on this opportunity to enhance your coding skills and knowledge. Happy learning!
👍 Don't forget to like, share, and subscribe for more Python tutorials, programming tips, and coding insights!
Community Engagement:
Join the conversation beyond YouTube! Connect with me on Instagram (link in channel bio) and Twitter (also linked in channel bio), where you can stay updated on upcoming tutorials, engage with fellow learners, and share your Python projects. I also have a GitHub page (also linked in channel bio) where I will be uploading each tutorial onto when they are finished.
Are you ready to expand your coding skills and learn a new programming language in 2024? This video is for you! I'm excited to introduce a new programming language that I've been developing, designed with modern software development challenges in mind.
In this video, we'll take you on a journey through the unique features of my new language, from its syntax and semantics to its powerful libraries and tools. We'll show you how it can make your coding more efficient, more enjoyable, and more powerful.
Whether you're a seasoned developer looking for a new challenge or a beginner eager to learn your first programming language, this video will provide a comprehensive introduction to our new language. It will show the progress I've made so far into coding my own programming language and future videos will build on this.
Join us in shaping the future of programming. Let's learn together in 2024!
Community Engagement:
Join the conversation beyond YouTube! Connect with me on Instagram (link in channel bio) and Twitter (also linked in channel bio), where you can stay updated on upcoming tutorials, engage with fellow learners, and share your Python projects. I also have a GitHub page (also linked in channel bio) where I will be uploading each tutorial onto when they are finished.
In this tutorial, you will learn how to create a graphical user interface (GUI) calculator in Python using the Tkinter module. Tkinter is a standard library that provides a simple and easy way to create GUI applications with Python. You will use Tkinter widgets such as buttons, labels, and entry fields to design the layout of your calculator. You will also use Python functions and expressions to perform basic arithmetic operations such as addition, subtraction, multiplication, and division. By the end of this tutorial, you will have a fully functional GUI calculator that can handle user input and display the result. This tutorial is suitable for beginners who want to learn Python GUI programming with Tkinter.
👍 Don't forget to like, share, and subscribe for more Python tutorials, programming tips, and coding insights!
Community Engagement:
Join the conversation beyond YouTube! Connect with me on Instagram (link in channel bio) and Twitter (also linked in channel bio), where you can stay updated on upcoming tutorials, engage with fellow learners, and share your Python projects. I also have a GitHub page (also linked in channel bio) where I will be uploading each tutorial onto when they are finished.
From Novice to Pro: Level Up Your Data Analysis Skills with These 4 Powerful NumPy Features
NumPy is a powerful Python library for numerical computing that is widely used in data analysis, scientific research, and machine learning. It provides a high-performance multi-dimensional array object, tools for working with these arrays, and a wide range of mathematical functions for manipulating data.
While many data analysts and scientists are already familiar with NumPy’s basic array operations, there are several lesser-known features that can greatly enhance your productivity and make your code more efficient. In this video, we will explore four of these features: broadcasting, structured arrays, fancy indexing and vectorization. Each of these features has the potential to revolutionize the way you approach data analysis, so let’s dive in and see what they have to offer!
The following features are covered in this video:
1. Broadcasting
Broadcasting is a powerful feature in NumPy that allows arrays with different shapes to be combined or operated upon in element-wise operations. In other words, it allows NumPy to treat arrays of different shapes as if they were the same shape, often resulting in much simpler and more concise code.
2. Structured arrays
NumPy structured arrays provide a way to work with arrays of structured data, where each element of the array can have different data types. This is different from regular NumPy arrays, where all elements are typically of the same data type.
3. Fancy indexing
Fancy indexing is a powerful feature in NumPy that allows you to index arrays with arrays of indices or boolean masks. This is different from basic indexing, where you typically use integers or slices to access elements of an array.
4. Vectorization
Vectorization is a technique in NumPy that allows you to perform operations on entire arrays, rather than looping through each element of an array one at a time. This can result in simpler, more concise code that is often faster than equivalent code that uses for loops.
👍 If you found these tips helpful, don't forget to like, share, and subscribe for more Python tutorials and programming insights!
Community Engagement:
Join the conversation beyond YouTube! Connect with me on Instagram (link in channel bio) and Twitter (also linked in channel bio), where you can stay updated on upcoming tutorials, engage with fellow learners, and share your Python projects. I also have a GitHub page (also linked in channel bio) where I will be uploading each tutorial onto when they are finished.
Welcome to my Python Tutorials Channel! 🐍✨
In this introductory video, I'm thrilled to welcome you to my channel dedicated to Python programming tutorials. Whether you're a beginner looking to dive into the world of coding or an experienced programmer seeking to expand your skills, you've come to the right place!
About Me:
I'm Python Programmer, and I've been passionate about Python programming for about 5-7 years. With a background in python programming since GCSE level, I'm excited to share my knowledge and experience with you through engaging and informative tutorials. I have made many different games and other useful desktop applications through python, particularly using the Tkinter and Pygame modules/libraries and have recently taken an interest in machine learning and developing my own Artificial Intelligence models, similar to GPT and Bard.
Channel Overview:
On this channel, you can expect regular uploads covering a wide range of Python topics, from the basics of syntax and data structures to more advanced concepts like web development, machine learning, and beyond. I'm committed to fostering a supportive community, so don't hesitate to leave comments, questions, or suggestions for future tutorials!
Sample Content Preview:
Get ready for a sneak peek into the exciting tutorials coming your way! We'll explore topics such as:
- Introduction to Python fundamentals
- How to use iteration (for and while loops) and selection (if, else statements) efficiently
- The basics of the Tkinter module/library and GUI Programming
- Coding fun games using the Pygame module/library
- Machine learning with modules/libraries such as Nltk, Pandas, TensorFlow and NumPy
...and much more!
Community Engagement:
Join the conversation beyond YouTube! Connect with me on Instagram (link in channel bio) and Twitter (also linked in channel bio), where you can stay updated on upcoming tutorials, engage with fellow learners, and share your Python projects. I also have a GitHub page (also linked in channel bio) where I will be uploading each tutorial onto when they are finished.
In Conclusion:
Thank you for joining me on this Python programming journey! Be sure to subscribe to the channel and turn on notifications so you never miss an upload. Together, we'll unlock the full potential of Python and take our coding skills to new heights!
🔍 Discover 3 Hidden Gems: Tkinter Tips & Tricks in Python! 🔍
Looking to elevate your Python GUI development skills? Look no further! In this video, we unveil three lesser-known Tkinter tips and tricks that will take your projects to the next level.
🚀 Whether you're a beginner or an experienced developer, you'll find valuable insights and techniques to streamline your Tkinter workflow and create more polished, efficient applications.
💡 Whether you're building a simple calculator or a complex data visualization tool, these tips will help you overcome common challenges and unleash the full potential of Tkinter in your Python projects.
👍 If you found these tips helpful, don't forget to like, share, and subscribe for more Python tutorials and programming insights!
Community Engagement:
Join the conversation beyond YouTube! Connect with me on Instagram (link in channel bio) and Twitter (also linked in channel bio), where you can stay updated on upcoming tutorials, engage with fellow learners, and share your Python projects. I also have a GitHub page (also linked in channel bio) where I will be uploading each tutorial onto when they are finished.
🎨 Master the Art of Pattern Printing in Python! 🎨
Ready to add some flair to your Python programming skills? Join us in this short tutorial where we delve into the fascinating world of pattern printing using Python for loops!
🔍 Whether you're a beginner or looking to expand your Python repertoire, this tutorial covers everything you need to know to create intricate patterns with ease.
💡 Whether you're looking to add visual appeal to your console applications or enhance your coding prowess, mastering pattern printing opens up a world of creative possibilities in Python.
🚀 Get ready to unleash your creativity and impress your peers with stunning pattern designs! Hit play now and start mastering the art of pattern printing in Python!
👍 Don't forget to like, share, and subscribe for more Python tutorials, programming tips, and coding insights!
Community Engagement:
Join the conversation beyond YouTube! Connect with me on Instagram (link in channel bio) and Twitter (also linked in channel bio), where you can stay updated on upcoming tutorials, engage with fellow learners, and share your Python projects. I also have a GitHub page (also linked in channel bio) where I will be uploading each tutorial onto when they are finished.
Python coding with chatGPT be like
From Novice to Pro: Level Up Your Data Analysis Skills with These 4 Powerful NumPy Features
NumPy is a powerful Python library for numerical computing that is widely used in data analysis, scientific research, and machine learning. It provides a high-performance multi-dimensional array object, tools for working with these arrays, and a wide range of mathematical functions for manipulating data.
While many data analysts and scientists are already familiar with NumPy’s basic array operations, there are several lesser-known features that can greatly enhance your productivity and make your code more efficient. In this video, we will explore four of these features: broadcasting, structured arrays, fancy indexing and vectorization. Each of these features has the potential to revolutionize the way you approach data analysis, so let’s dive in and see what they have to offer!
The following features are covered in this video:
1. Broadcasting
Broadcasting is a powerful feature in NumPy that allows arrays with different shapes to be combined or operated upon in element-wise operations. In other words, it allows NumPy to treat arrays of different shapes as if they were the same shape, often resulting in much simpler and more concise code.
2. Structured arrays
NumPy structured arrays provide a way to work with arrays of structured data, where each element of the array can have different data types. This is different from regular NumPy arrays, where all elements are typically of the same data type.
3. Fancy indexing
Fancy indexing is a powerful feature in NumPy that allows you to index arrays with arrays of indices or boolean masks. This is different from basic indexing, where you typically use integers or slices to access elements of an array.
4. Vectorization
Vectorization is a technique in NumPy that allows you to perform operations on entire arrays, rather than looping through each element of an array one at a time. This can result in simpler, more concise code that is often faster than equivalent code that uses for loops.
👍 If you found these tips helpful, don't forget to like, share, and subscribe for more Python tutorials and programming insights!
Community Engagement:
Join the conversation beyond YouTube! Connect with me on Instagram (link in channel bio) and Twitter (also linked in channel bio), where you can stay updated on upcoming tutorials, engage with fellow learners, and share your Python projects. I also have a GitHub page (also linked in channel bio) where I will be uploading each tutorial onto when they are finished.
In this video, I will show you how to create a Python program that can encrypt and decrypt messages using the Caesar Cipher technique. The Caesar Cipher is one of the simplest and oldest methods of cryptography, which shifts each letter of a message by a fixed number of positions in the alphabet. You will learn how to use string manipulation, loops, and modular arithmetic to implement this encryption technique in Python. You will also learn how to test your program with different inputs and outputs. This is a fun and easy Python coding challenge that will help you improve your skills and knowledge in cryptography and programming. I hope you enjoy this video and learn something new.
👍 If you found these tips helpful, don't forget to like, share, and subscribe for more Python tutorials and programming insights!
Community Engagement:
Join the conversation beyond YouTube! Connect with me on Instagram (link in channel bio) and Twitter (also linked in channel bio), where you can stay updated on upcoming tutorials, engage with fellow learners, and share your Python projects. I also have a GitHub page (also linked in channel bio) where I will be uploading each tutorial onto when they are finished.
Dive into Python with this beginner-friendly tutorial on loops and file handling. Learn to automate tasks and manage files efficiently with practical examples and easy-to-follow steps. Perfect for those starting their coding journey!
Whether you're a beginner just starting out or an intermediate programmer looking to brush up on your skills, this video has something for everyone. By the end of this tutorial, you'll have a solid understanding of iteration loops and file handling in Python, and be well on your way to becoming a proficient Python programmer. Don't miss out on this opportunity to enhance your coding skills and knowledge. Happy learning!
👍 Don't forget to like, share, and subscribe for more Python tutorials, programming tips, and coding insights!
Community Engagement:
Join the conversation beyond YouTube! Connect with me on Instagram (link in channel bio) and Twitter (also linked in channel bio), where you can stay updated on upcoming tutorials, engage with fellow learners, and share your Python projects. I also have a GitHub page (also linked in channel bio) where I will be uploading each tutorial onto when they are finished.
Finding the maximum number from a text file is a common task in python programming. In this short video, I will teach you how to do it in a few easy steps. You will learn how to open a text file, create a list of numbers from the file, and apply the max() function to find the largest number.
This is a great way to practice your python skills and learn something new in 60 seconds.
👍 If you found these tips helpful, don't forget to like, share, and subscribe for more Python tutorials and programming insights!
Community Engagement:
Join the conversation beyond YouTube! Connect with me on Instagram (link in channel bio) and Twitter (also linked in channel bio), where you can stay updated on upcoming tutorials, engage with fellow learners, and share your Python projects. I also have a GitHub page (also linked in channel bio) where I will be uploading each tutorial onto when they are finished.
Welcome back, everyone! After a nine-month break, I’m excited to share the Python projects I’ve been working on throughout 2024. Whether you’re into math, automation, computer science theory, or AI, there’s something here for you. This showcase highlights the variety of ways Python can be used, and I hope it inspires you to tackle some new projects of your own!
Projects Featured:
1. Math-Related Tools
A number list controller with both CLI and GUI options to manipulate and save number lists.
A Goals Challenge Outcome Calculator to simulate and analyze scenarios for football scoring challenges.
A complex random draw generator, inspired by UEFA’s new tournament draw process.
A work hours calculator to easily log and summarize internship hours.
2. Useful Tools for Everyday Tasks
A random currency generator for testing financial spreadsheets.
A Python file counter to search directories for specific file types.
A Leetcode solutions searcher to quickly retrieve and reuse problem-solving code.
A WhatsApp poll configurer to simplify recreating group polls using automation.
A Markdown to Plaintext Converter to quickly remove those pesky markdown characters when adding to text files.
3. Computer Science Theory in Action
A truth table generator for logical circuit analysis.
A state machine generator to automate the creation of Mealy machines.
4. AI and Machine Learning Projects
A Funzy ML project predicting beverage demand from sales data.
An AI cover letter writer, leveraging Google’s Gemini AI for tailored content creation.
An AI testing agent, designed to evaluate and document software testing automatically.
Each project presented unique challenges, from basic problem-solving to advanced AI integration, and they all pushed my Python skills to the next level.
Explore and Connect:
Most of these projects are available on my GitHub, where you can dive into the code, use the tools, or adapt them for your own needs. Check out the link in the description!
Let’s Collaborate:
Which project was your favorite? Do you have ideas for new Python projects or improvements I could make? Let me know in the comments. I’d love to hear what you’re working on too!
What’s Next?
The journey doesn’t stop here. I’m planning more AI applications, a Leetcode challenge series, and a Gemini vs. ChatGPT showdown in future videos. Don’t forget to like, subscribe, and hit the bell icon to stay updated!
Thanks for watching, and I’ll see you in the next one!
Short clip from the 2024 Python Projects Showcase where I promote the new Discord server
Short clip from the chatGPT vs Microsoft Copilot video that will be coming soon where chatGPT mentions GPT-4.5 coming in 2025, even though there's no confirmed news yet.
Welcome to another hilarious "episode" of AI Fails! In this video, we put ChatGPT to the test with the 'Odd Numbers without E' Challenge, and the results are as entertaining as ever. Watch as we keep correcting ChatGPT and see how it hilariously struggles to avoid the letter 'e'. From unexpected responses to outright AI confusion, this video is a must-watch for anyone who loves a good laugh at technology's expense. Tune in and join the fun as we explore the quirks of AI in December 2024.
Shorts version of when I got chatGPT to attempt teh odd numbers without 'e' challenge and it completely broke.
The next episode of chatGPT AI fails, somewhat continuing on from 'chatGPT is STILL broken in December 2024 - Can't tackle Odd numbers without "e" Challenge'. Get ready for some AI hilarity with 'ChatGPT is soooo CONFUSING in 2025 - Odd Numbers without "e" Challenge'! In this video, we push ChatGPT to its limits by challenging it to list odd numbers without using the letter 'e' but this time we pretend that it's right! Spoiler alert: the results are as entertaining as they are confusing! Join me as we dive into the quirks of AI, with plenty of laughs and unexpected responses along the way. Whether you're a Python programmer, an AI enthusiast, or just here for a good laugh, this video has something for you. Don't miss out on the fun and the fails!
Dive into the ultimate AI showdown as we pit ChatGPT against Microsoft Copilot in an epic comparison! In this video, we explore which AI truly stands out in terms of performance, accuracy, and overall user experience. Join me as I test these two powerhouse AIs across a series of challenges and tasks, all decided and suggested with the help of my Gemini app created in Python using the Vertex AI & Google Cloud APIs. From solving complex problems to engaging in everyday tasks, we cover it all to find out which AI is better equipped to meet your needs.
The following categories of questions are included:
1. Code Generation and Debugging:
Code Completion: "Write a Python function to reverse a linked list."
Code Optimization: "Improve the efficiency of this Python function."
2. Content Creation and Writing:
Article Summarization: "Summarize this article on the latest AI advancements in a few bullet points."
Blog Post Idea Generation: "Give me 5 blog post ideas related to [topic]."
Email Writing: "Write an email to my boss asking for a raise."
3. Knowledge and Information Retrieval:
Factual Questions: "What is the capital of France?"
Explanation Questions: "Explain the theory of relativity in simple terms."
Trend Analysis: "What are the top 5 emerging technologies in 2024?"
4. Problem Solving and Reasoning:
Logical Puzzles: "You have 12 coins, one of which is fake and lighter than the rest. How do you find the fake coin in 3 weighings?"
Strategy Games: "What's the best strategy for winning a game of chess?"
5. Conversation and Dialogue:
Role-Playing: "Imagine you are a detective investigating a murder. What questions would you ask the suspect?"
Watch as we delve into the strengths and weaknesses of each AI, showcasing their unique features and capabilities. Whether you're a developer, an AI enthusiast, or just curious about the future of artificial intelligence, this video has something for everyone. Get ready for an informative and entertaining journey through the world of AI, with plenty of insights and surprises along the way.
Don't miss out on the ultimate comparison—subscribe, like, and share if you enjoyed the video, and let us know in the comments which AI you think comes out on top!
Join me as I kick off an exciting journey in 2025! I've challenged myself to create 12 AI-powered applications in 12 months, and this is the start. In this video, I'll give you a brief overview of each project planned for the year, starting with the January AI Doc Search project. Due to a late start, the January project might spill over into February, but I'll be aiming to finish each subsequent project within a month.
I'll showcase the progress I've made so far on the January project, including a walkthrough of the GitHub repository and an explanation of the code. Plus, you'll meet my university friend Rayees, who is also taking on a similar challenge with his own twist. We'll compare our approaches and progress – mine resembling the Google AI Doc search widgets from my 2024 Python Projects Showcase, and Rayees's approach being more like a file management system with added AI search features.
Stay tuned for this and future updates, and don't forget to like, subscribe, and follow the journey!
Welcome to Python Programmer, my Python Tutorial YouTube channel! In this in-depth Flask tutorial, we're diving headfirst into the world of Python web development. Are you an intermediate or advanced Python programmer looking to level up your skills? Or perhaps you're seeking a way to give your existing Python applications a sleek, web-accessible front end? Either way, you're in the right place!
In today's tutorial, we'll cover everything you need to get started with Flask, whether you choose to use a virtual environment or not. We'll guide you through the entire process, starting with setting up your Flask environment in VS Code. You'll learn how to install Flask, create your first web app, and run it locally on your machine.
But we won't stop there. Throughout this tutorial, we'll be building a fully functional web application, step by step. You'll see how to handle routes, use templates to render dynamic content and delicately weave together a complex but simple to build web app with multiple html files being used!
As we code together, I'll explain each concept in detail, ensuring you understand the why and how behind every line of code. By the end of this tutorial, you'll have a solid foundation in Flask and the confidence to create your own web applications.
Whether you want to build a personal blog, a to-do list app, or any other web project, this tutorial will give you the tools and knowledge you need to succeed. Plus, I'll share tips and best practices to help you write clean, maintainable code.
So, let's get started! Grab your favorite coding beverage, open up VS Code, and join me on this journey to mastering Flask. Don't forget to like, subscribe, and hit the notification bell for more Python programming tips and tutorials. Happy coding!
Join me, Python Programmer, as we dive into two of the most important programming paradigms: Procedural Programming (POP) and Object-Oriented Programming (OOP). This beginner-friendly tutorial is perfect for those just starting out with Python or anyone looking to solidify their understanding of these foundational concepts.
We'll code through real examples, starting with Procedural Programming, where you'll see how to structure your code around functions for a straightforward approach to problem-solving. Then, we’ll transition to Object-Oriented Programming, where we’ll design a class-based system to encapsulate data and behavior into reusable objects.
As we go, I’ll explain the key differences and similarities between the two paradigms, highlight their strengths, and discuss when to use each approach in your projects. By the end of this tutorial, you’ll have a clear understanding of both paradigms and the confidence to apply them effectively in your Python programming journey.
Don’t forget to like, subscribe, and hit the notification bell for more Python tutorials, tips, and tricks. Let’s get started on writing better, more maintainable code!
A series of 10 min tutorials covering the basics of python programming
Tutorials that are 60 seconds or less in length
Shorts or long-form videos showcasing some popular python modules/libraries
A playlist for some the basics level tutorials on my channel
A playlist for all the intermediate level tutorials on my channel
A playlist for videos showcasing the new coding language I'm developing
A playlist going through the AI Apps Challenge 2025 published throughout the year
Vids of mine involving an AI Chatbot (usually chatGPT but others such as Gemini and Microsoft Copilot are included)
A playlist of all the vids where I showcase some of my own Python Projects.