Hope this video was useful for you! 💡 Let me know in the comments, what use cases would you be interested in and generally what video topics you would like to see?
Hey Nana, thank you so much for creating amazing Peyton videos! I found this video very helpful. I am 10 years old. I just started learning how to call patients so I found your videos very helpful. I was wondering if you give tips for me? And also if you can mentor me?
Hi, I am a man living in South Korea, and I am an AI researcher. My background is not at Computer Science, so I am afraid whether I can work as an engineer in the near future. However, thanks to you, not only this course, I am getting so much help from you. Thank you so so much for providing us this much nice-quality videos. I hope you always be happy. Have a great day, Nana :)
I was Clipper programmer (90´s) and tried to start learn Python (not very dedicated though) few times in the past. You did an amazing job explaining items like the "import" at the begining of the Python program and you did explain those in a very direct and clean way. I am truly amazed by your knowledge and the way you touched each and every line of the code you presented, even the one that AI created. Thank you a lot @TechWorldwithNana !!!! Great job!
I'm a technical writer. The way you work reminds me a lot of the way that I work. (I don't run into that often.) I mean the way that you explain things, the way you pause to explain the underlying (and transferable) concepts, etc., explain other options (and why you are going with the one that you choose)... Really excellent.
👋 I just wanted to take a moment to express my appreciation for the 👌 examples you use in your content to illustrate important concepts. In particular, I found your recent piece on how audiences can reach multiple outcomes 🤔 to be both interesting and informative. I hope you will continue to create more content like this in the future. Thank you for all your hard work and dedication to producing high-quality content for your audience. 😊 Best regards, Nana
You are a wonderful and SUPER teacher. I am very lucky found your channel. Python automation with chatgpt was a difficult and complicated issue before I found your channel. Your detailed explanations have melted all the difficulties and made things very easy to understand. Thank YOU so much for your great efforts and generous contributions which turned complexity into simplicity.
Amazing. I dint expected a one hour video would teach such a valuable and real life project in such a easy way. Bow down to your excellence and expertise
🎯Course outline for quick navigation: [00:00-01:13]1. Python automation tutorial -[00:00-01:13]Learn python to automate tasks: translate headers to spanish, clean up old files. [01:13-14:51]2. Automating python script generation -[01:13-01:45]Using chatgpt's api to generate python scripts for two use cases. -[02:44-03:14]Python's ecosystem of libraries gives it a monopoly on automation due to its simplicity and wide adoption in low-level automation tools. -[04:54-05:19]Openai's api connects to ai for chatgpt, used by startups and developers. -[06:39-08:10]To use the openai api, sign up, create an account, and obtain the api key to connect to the api in python. -[08:51-10:23]The transcript covers setting up python 3, using package manager peep, and creating a new folder for python scripts. -[10:40-11:07]The generic requests library allows making requests to any api, simplifying the process and hiding complexity. -[13:47-14:13]Find api endpoints in documentation for using openai platform. [14:52-21:49]3. Managing api keys and making post requests with openai api in python -[14:52-15:39]Copying api endpoint and key into code, emphasizing security and use of environment variable for key storage. -[15:59-16:47]Preparing to make a post request for authentication and data retrieval. -[17:10-17:34]Transcript covers metadata and request structure, not actual content or prompt. -[18:17-18:46]Python is needed for making requests to openai using either the request library or the openai library. -[19:10-19:42]Mapping http headers in python request for api key and json format. -[20:26-20:56]Demonstrated python string concatenation and making a post request with headers. -[21:24-21:49]The transcript discusses the request data and its parameters. [21:49-32:40]4. Ai api for python script generation -[23:27-23:51]Davinci 003 model is the most capable, trained with massive data, and can do complex tasks. -[24:15-24:39]The goal is to generate a complex python script using the text davinci 003 model. -[26:10-26:32]Easily swap model names in api for testing different models under codex group. -[27:12-27:40]Prompt is key to the request, used programmatically, to prompt the davinci model for a python script. -[28:01-28:25]Controlling api model behavior with max tokens set to 100. -[28:44-29:16]Controlling creativity in response generation with temperature settings: 0 for precise, 1 for creative, 0.5 for balanced. -[29:36-30:10]Preparing to connect to openai api using requests library and api key for authorization. [32:40-46:08]5. Python script execution and library installation -[32:40-34:01]Python script uses f-string syntax for variable references and requires requests library to be installed using pip3. -[34:48-36:18]Troubleshooting and installing 'requests' library for python 3, fixing syntax error, and successfully executing the script. -[38:05-38:41]Executing python script connects to openai's davinci text model for programmatically receiving responses. -[41:07-41:37]Python's built-in argparse module simplifies user input handling. -[45:04-45:34]Executing the script results in different api responses, allowing for easy customization of use cases. [46:08-01:02:54]6. Python scripting and web scraping -[46:39-47:03]Automate console tasks, secure sensitive data, and use environment variables for ease. -[49:37-50:07]To create separate files for multiple use cases, pass file name as input. -[51:07-51:51]Optimizing file creation and extracting into environment variable. -[52:34-53:31]Optimized python chat gpt script avoids exposing api key, ready for automation scripts and blog post processing. -[55:34-56:00]The code provided has a syntax error due to an unfinished result, likely caused by the 'max tokens' parameter in the python program. -[57:24-57:50]Beautiful soup is a popular python library for web data extraction, recommended by the api, known as bs4. -[59:59-01:00:44]A script creates a spanish headers.html file, adding h1 with header text from the spanish headers array. the script looks surprisingly good for the very first request, requiring minimal adjustments except for preserving the hierarchy of headers and titles. [01:02:54-01:14:04]7. Using google translate library and automating downloads folder cleanup -[01:02:54-01:03:24]Installing google translate library version 3.1.0.a0 fixed the issue. -[01:05:37-01:06:04]Creating a python dictionary with translated text and header names, appending it to a spanish headers array, and iterating through the list to grab attributes. -[01:06:32-01:07:02]Script successfully executed, translated headers to spanish, no errors -[01:07:57-01:09:00]Python automation code generates to move files older than 30 days to 'to delete' folder in a messy downloads folder. -[01:12:42-01:13:06]Files and folders with modified date more than 30 days ago were successfully moved without any modifications to the code. offered by Coursnap
Great video! A small addition to the material: you can get the response of the GPT model in any language you need without a third party. You just need to add the specific instruction to the prompt, and maybe as a parameter in your API.
Nana, fantastic video, love all your videos, anytime i'm struggling with a concept i check to see if you have a video on it. for the downloads cleanup i ran it for a windows 10 cleanup and it ran first time and worked but i told it 'cleanup files in the downloads folder', so chat wrote the script for files and didn't move folders in the downloads folder older than 30 days, i went back and changed the narrative and it worked like charm. The AI can be pretty sensitive to what we type and our words really matter in the results.
Great and interesting example, I learned a lot of things thanks to your channel I even managed to get CKA certification and have a goal to master python language which is the thing I lack mastering a programming language thank you for all the content you provide
Really excellent. Somewhere around 16:02, you mention environment variables, and their purpose (not hard-coding your API key in anywhere). Exactly the kind of info I'm looking for. You're an excellent instructor. Great info. Thanks.
The operating system uses Environmental Variables, to hold system wide short variables. Typically use for file paths to where the executable/ libraries exist. These variables are established on System, or local terminal session startup, so that user and system can see where and what the system wide variable. e.g. JAVA_HOME, typically points to where the Java interpreter is. So under Windows, Advanced Settings, you can see existing Environmental Variables, which you can also add to, edit or delete (But only if you are sure what purpose they are being sued for !) Linux and MacOS have the same concept. So to protect sensitive data, like the API Key, its good practice to establish that in an Environment Variable.
Hi Nana, I am working on Azure cloud revolving around its OpenAI offering for 5+ months, but learned a lot from this video :) thanks ! Keep posting good content like this
Your videos are the best! I would like to request more videos on using the latest artificial intelligence related API’s perhaps even create some LLM apps, using python or another language, C-sharp would be great! Keep up the great work 😀
Thank you Nana for such an amazing and well-structured tutorial on how to get maximum from Chat GPT. It could give us a lot in everyday work to automate some boring manual tasks and in the meantime advance Python knowledge or some other language of your choice, dependable on our inputs.
Great Video and content. I like your videos and your lecture style. I also find your animations in your video very pleasing. Are using standart ppt animations or are you using a special software?
I got it... there was no space in the "Bearer "... I put the whole code into the chatgpt and ask fo the mistake...So I got the result from the chatgpt....Anyway your indroduction was amazing...thanks a lot for your tutorial.. I will be watching more from you Nana.. regards from Manohar
Interesting tutorial. I have to deal with complex software systems. There are two big issues I have to face constantly. Code and scripts don't get reviewed as much as I would like. Testing. Manual testing and inspection can be time consuming when done repeatedly. It doesn't matter where code or scripts come from (human or AI). If it's not reviewed and tested there is a problem in an ever changing system/ environment.
Excellent video Nana. Very useful video for Python automation and ChatGPT, I definitely learned a lot. I have a question for you. What tools are you using to create you videos? What do you use to create the animations and where do you get the graphics? Thanks so much for your content. Definitely a like and subscribe.
Great video ! Guide me how can i create ppt from data saved at Data lakehouse. So The data Lakehouse has multiple files in excel, pdf, word format. I want to automate the task of picking onky the asked information from these files and create a one pager of findings. On the page i want some findings in text and some in table as numbers. I want to automate entire process.
![Docker Crash Course for Absolute Beginners [NEW]](http://i.ytimg.com/vi/pg19Z8LL06w/mqdefault.jpg)
Hope this video was useful for you! 💡 Let me know in the comments, what use cases would you be interested in and generally what video topics you would like to see?
Bundle of thanks from pakistan Nana you're doing an amazing job
Please,make full video on DSA with python
It would be nice if you added it to the subtitles in Turkish😎⚙️🤓🤓🤓
Oops, too much annoying ads.
Hey Nana, thank you so much for creating amazing Peyton videos! I found this video very helpful. I am 10 years old. I just started learning how to call patients so I found your videos very helpful. I was wondering if you give tips for me? And also if you can mentor me?
I got a job as DevOps engineer because of your UA-cam channel I am able to cleared 10 companies interview ...Thank you nana 👍😊😊
Wow!
One of the my satisfying comments/messages a teacher/instructor can receive.
Thank You for being a Valuable Testimony of her efforts.🎉
that really encouraging for the wonderful nina .
What topics are required to be studied as I completed not getting how to implement projects some suggestions would be helpful
could you point the particular video that did the deed for you?
Hi, I am a man living in South Korea, and I am an AI researcher. My background is not at Computer Science, so I am afraid whether I can work as an engineer in the near future. However, thanks to you, not only this course, I am getting so much help from you. Thank you so so much for providing us this much nice-quality videos. I hope you always be happy. Have a great day, Nana :)
I was Clipper programmer (90´s) and tried to start learn Python (not very dedicated though) few times in the past. You did an amazing job explaining items like the "import" at the begining of the Python program and you did explain those in a very direct and clean way.
I am truly amazed by your knowledge and the way you touched each and every line of the code you presented, even the one that AI created.
Thank you a lot @TechWorldwithNana !!!!
Great job!
Whooo Hooo!! Clipper in the Hizzy! ;D
If I haven't commented yet, let me say that I've watched many of your videos and you're one of the best tech instructors out there!
Thanks so much, really happy to hear!
110% agree 😊
I'm a technical writer.
The way you work reminds me a lot of the way that I work. (I don't run into that often.)
I mean the way that you explain things, the way you pause to explain the underlying (and transferable) concepts, etc., explain other options (and why you are going with the one that you choose)...
Really excellent.
I'm super happy to find Nana's channel. All videos that I've viewed are high quality -clear, logical and well explained. Thank you, Nana!
👋 I just wanted to take a moment to express my appreciation for the 👌 examples you use in your content to illustrate important concepts. In particular, I found your recent piece on how audiences can reach multiple outcomes 🤔 to be both interesting and informative. I hope you will continue to create more content like this in the future. Thank you for all your hard work and dedication to producing high-quality content for your audience. 😊 Best regards, Nana
Awesome.. it definitely complement developers time but may not replace entirely
Simple, but yet the most ingenious use (imo) of the openai api i've seen so far.
I want to say my skills improved in DevOps so fast, thanks to you.
for this, its too informative as i expected from you🙂💥
Thanks!
Thanks so much for your support!
You are a wonderful and SUPER teacher. I am very lucky found your channel. Python automation with chatgpt was a difficult and complicated issue before I found your channel. Your detailed explanations have melted all the difficulties and made things very easy to understand.
Thank YOU so much for your great efforts and generous contributions which turned complexity into simplicity.
Superb! Thank you so much Nana! This is what all I need to start using OpenAI's ChatGPT! :)
Amazing. I dint expected a one hour video would teach such a valuable and real life project in such a easy way. Bow down to your excellence and expertise
The video is very informative and illustrates well the practical approaches of programming in python. Thank you very much!
U r very well ahead of time...thanks for this
Thank you Nana. I will probably have to visit more often your channel. :-)
Simply Awesome! You are the best trainer
In my Company we have an AI/ChatGPT Hackathon later this month, so this video is perfect as preparation, thanks.
the way to teach concept explanation is excellent. please make more videos
really great you are my best teacher!!!
Awesome examples
Can’t wait to adopt this chatgpt code generator in my work place.😅
🎯Course outline for quick navigation:
[00:00-01:13]1. Python automation tutorial
-[00:00-01:13]Learn python to automate tasks: translate headers to spanish, clean up old files.
[01:13-14:51]2. Automating python script generation
-[01:13-01:45]Using chatgpt's api to generate python scripts for two use cases.
-[02:44-03:14]Python's ecosystem of libraries gives it a monopoly on automation due to its simplicity and wide adoption in low-level automation tools.
-[04:54-05:19]Openai's api connects to ai for chatgpt, used by startups and developers.
-[06:39-08:10]To use the openai api, sign up, create an account, and obtain the api key to connect to the api in python.
-[08:51-10:23]The transcript covers setting up python 3, using package manager peep, and creating a new folder for python scripts.
-[10:40-11:07]The generic requests library allows making requests to any api, simplifying the process and hiding complexity.
-[13:47-14:13]Find api endpoints in documentation for using openai platform.
[14:52-21:49]3. Managing api keys and making post requests with openai api in python
-[14:52-15:39]Copying api endpoint and key into code, emphasizing security and use of environment variable for key storage.
-[15:59-16:47]Preparing to make a post request for authentication and data retrieval.
-[17:10-17:34]Transcript covers metadata and request structure, not actual content or prompt.
-[18:17-18:46]Python is needed for making requests to openai using either the request library or the openai library.
-[19:10-19:42]Mapping http headers in python request for api key and json format.
-[20:26-20:56]Demonstrated python string concatenation and making a post request with headers.
-[21:24-21:49]The transcript discusses the request data and its parameters.
[21:49-32:40]4. Ai api for python script generation
-[23:27-23:51]Davinci 003 model is the most capable, trained with massive data, and can do complex tasks.
-[24:15-24:39]The goal is to generate a complex python script using the text davinci 003 model.
-[26:10-26:32]Easily swap model names in api for testing different models under codex group.
-[27:12-27:40]Prompt is key to the request, used programmatically, to prompt the davinci model for a python script.
-[28:01-28:25]Controlling api model behavior with max tokens set to 100.
-[28:44-29:16]Controlling creativity in response generation with temperature settings: 0 for precise, 1 for creative, 0.5 for balanced.
-[29:36-30:10]Preparing to connect to openai api using requests library and api key for authorization.
[32:40-46:08]5. Python script execution and library installation
-[32:40-34:01]Python script uses f-string syntax for variable references and requires requests library to be installed using pip3.
-[34:48-36:18]Troubleshooting and installing 'requests' library for python 3, fixing syntax error, and successfully executing the script.
-[38:05-38:41]Executing python script connects to openai's davinci text model for programmatically receiving responses.
-[41:07-41:37]Python's built-in argparse module simplifies user input handling.
-[45:04-45:34]Executing the script results in different api responses, allowing for easy customization of use cases.
[46:08-01:02:54]6. Python scripting and web scraping
-[46:39-47:03]Automate console tasks, secure sensitive data, and use environment variables for ease.
-[49:37-50:07]To create separate files for multiple use cases, pass file name as input.
-[51:07-51:51]Optimizing file creation and extracting into environment variable.
-[52:34-53:31]Optimized python chat gpt script avoids exposing api key, ready for automation scripts and blog post processing.
-[55:34-56:00]The code provided has a syntax error due to an unfinished result, likely caused by the 'max tokens' parameter in the python program.
-[57:24-57:50]Beautiful soup is a popular python library for web data extraction, recommended by the api, known as bs4.
-[59:59-01:00:44]A script creates a spanish headers.html file, adding h1 with header text from the spanish headers array. the script looks surprisingly good for the very first request, requiring minimal adjustments except for preserving the hierarchy of headers and titles.
[01:02:54-01:14:04]7. Using google translate library and automating downloads folder cleanup
-[01:02:54-01:03:24]Installing google translate library version 3.1.0.a0 fixed the issue.
-[01:05:37-01:06:04]Creating a python dictionary with translated text and header names, appending it to a spanish headers array, and iterating through the list to grab attributes.
-[01:06:32-01:07:02]Script successfully executed, translated headers to spanish, no errors
-[01:07:57-01:09:00]Python automation code generates to move files older than 30 days to 'to delete' folder in a messy downloads folder.
-[01:12:42-01:13:06]Files and folders with modified date more than 30 days ago were successfully moved without any modifications to the code.
offered by Coursnap
Excellent presentation. I learned a lot. Many, many thanks Nana.
Nana! I learned Python from you! thank you!!! At this point I'd like to know how to structure a complex python code, not in one file. Thank you again!
Great job , it's a very creative video for multiple automation script and DevOps task
I really impressed by your lovely way of explanation and pretty cool code !! :-)
Great stuff Nana!🚀 If anyone’s looking for more Python tutorials, we’ve released Loguru logging, task scheduling, and more to help the community too 💪
Awesome Automation examples , thank you 🙏
These tutorials... Especially make chatgpt One special
Nice!! Thank you for making this UA-cam video
Thank you Nana this is one of my best channel
Thx!!! I Subscribed and liked! 🤩🤩🤩
Wirklich fantastisch, Nana!!!
Super Useful.Great content.😀
Thank you for making it easier !
Great video! A small addition to the material: you can get the response of the GPT model in any language you need without a third party. You just need to add the specific instruction to the prompt, and maybe as a parameter in your API.
Top video Nana! Thank you so much!
Nana, fantastic video, love all your videos, anytime i'm struggling with a concept i check to see if you have a video on it. for the downloads cleanup i ran it for a windows 10 cleanup and it ran first time and worked but i told it 'cleanup files in the downloads folder', so chat wrote the script for files and didn't move folders in the downloads folder older than 30 days, i went back and changed the narrative and it worked like charm. The AI can be pretty sensitive to what we type and our words really matter in the results.
Thank you very much for all your amazining content!
One of the best teachers I've ever known
very useful content. Thank you for sharing.
Perfect Job. Too much interesting what you did. Thanks a lot 👍
You are best tutor in youtube tech as a female version.
you are amazing
you start from very basic, love the way you teach.
By far the best explaination for API request I have come across. Thanks for the good work. You have a like and a new subscriber
Nana you are amazing! This is a great instrument to learn Python & automation for DevOps.
You have a talent in explaining. Thank you.
Excellent tutorial! Thank you for sharing!
Great and interesting example, I learned a lot of things thanks to your channel I even managed to get CKA certification and have a goal to master python language which is the thing I lack mastering a programming language thank you for all the content you provide
It is great walk through lesson. Thank you
It is mind blowing and very useful. Thanks for making this video.
Please do the DSA python videos next!
Really excellent. Somewhere around 16:02, you mention environment variables, and their purpose (not hard-coding your API key in anywhere).
Exactly the kind of info I'm looking for.
You're an excellent instructor. Great info. Thanks.
The operating system uses Environmental Variables, to hold system wide short variables. Typically use for file paths to where the executable/ libraries exist. These variables are established on System, or local terminal session startup, so that user and system can see where and what the system wide variable. e.g. JAVA_HOME, typically points to where the Java interpreter is. So under Windows, Advanced Settings, you can see existing Environmental Variables, which you can also add to, edit or delete (But only if you are sure what purpose they are being sued for !) Linux and MacOS have the same concept. So to protect sensitive data, like the API Key, its good practice to establish that in an Environment Variable.
@@juleswombat5309 -- Thanks, Jules. Great info!
Hi Nana,
I am working on Azure cloud revolving around its OpenAI offering for 5+ months, but learned a lot from this video :) thanks ! Keep posting good content like this
Nice and easy to understand explanation, Thanks Nana
Glad to hear, thank you! :)
Amazing Nana! Thank you so much!
Thanks so much for the great introduction!
Excellent content Nana, liked it
great example. thanks for uploading
Guys let's make Nana hit a million subs
:D
Thank you Nana! Its very helpful !
Your videos are the best! I would like to request more videos on using the latest artificial intelligence related API’s perhaps even create some LLM apps, using python or another language, C-sharp would be great!
Keep up the great work 😀
Great presentation and great selection of examples. Thank you Nana!
Great video. Thanks for sharing.
thank you, thank you, thank you soooooo much Nana ma'am.
Fantastic demo thank you
Awesome Video!!As always amazing graphics and very creative❤
Thank you Jayanth! :)
Thanks for sharing ❤
great video! Thanks for your contributions to the dev community!!
Thank you Nana ❤
great explanation, impressive results!
Awesome tutorial thank you
Amazing Nana, you are awesome.
Thanks so much! :)
I wish your videos to reach more and more students and cross 1M subscribers !!! @TechWorldwithNana
Thank you thank you 🙏 🙏 🙏 🙏 🙏
Thank you Nana for such an amazing and well-structured tutorial on how to get maximum from Chat GPT.
It could give us a lot in everyday work to automate some boring manual tasks and in the meantime advance Python knowledge or some other language of your choice, dependable on our inputs.
Great Video and content. I like your videos and your lecture style. I also find your animations in your video very pleasing. Are using standart ppt animations or are you using a special software?
Thanks Mohamed! We use Screenflow
Love your work Nana, thanks for the effort and interesting topic.
Thanks Nana for sharing this awesome session.
Great video. Covered a lot of topics with an easy to understand style! Thanks!
Thank you Andy, so great to hear! :)
I got it... there was no space in the "Bearer "... I put the whole code into the chatgpt and ask fo the mistake...So I got the result
from the chatgpt....Anyway your indroduction was amazing...thanks a lot for your tutorial.. I will be watching more from you Nana.. regards from Manohar
Very nice. Thank you.
Interesting tutorial.
I have to deal with complex software systems. There are two big issues I have to face constantly. Code and scripts don't get reviewed as much as I would like. Testing. Manual testing and inspection can be time consuming when done repeatedly. It doesn't matter where code or scripts come from (human or AI). If it's not reviewed and tested there is a problem in an ever changing system/ environment.
Thank you so much! So helpful, and your explanation is amazing!
you are the best!
This is awesome! 👏 Thank you for making it!
Would be great and appreciated if you can make a video on how to fine tune an OpenAI model 😊
Thank you Nana, great stuff
fantastic video once more, thank you!
Excellent video Nana. Very useful video for Python automation and ChatGPT, I definitely learned a lot. I have a question for you. What tools are you using to create you videos? What do you use to create the animations and where do you get the graphics? Thanks so much for your content. Definitely a like and subscribe.
Awesome example..!!
ნანაააააააააა ძალიან დიდი მადლობააააააა
Very nice thx a lot.
Thanks for your sharing
Yes, I have a wish... Instead of printing on the terminal, can you do it on the local host...That will be very nice..thank you and have a great day...
Hi Nana, thank you for sharing the knowledge . Just one question, you have teach python using PyCharm and now you are using VS, any reason for that??
Very useful. Thank you!
Great video !
Guide me how can i create ppt from data saved at Data lakehouse.
So The data Lakehouse has multiple files in excel, pdf, word format. I want to automate the task of picking onky the asked information from these files and create a one pager of findings. On the page i want some findings in text and some in table as numbers. I want to automate entire process.
Very helpful
I wish dear Nana told us on automation built on Node.js.