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link ?

where is links please ?

Looks like you used GPT3.5 not Llama3 in this...

This was one of the reasons why I've purchased a MacBook. I don't think most people realize just how big of a deal this is. I was blown away to the fact that it will go in idle mode and you can just randomly start talking and it will wake up. It gives off Tony Stark vibes 100%. As someone who loves simple web dev, graphics ui ux stuff, scripting stuff, gaming and whatnot, is so freaking amazing to be able to do this. I can just speak to it non stop, never gets bored of me or annoyed! I can see why so many devs and people hate AI! I even stopped using google like I use to. Crazy shi

🎯 Key Takeaways for quick navigation: 00:00 *🚀 The video introduces a 40-module Python course for SEO, designed to progress from basic to advanced content.* 00:39 *🐍 Participants should be familiar with Python basics like for loops and if statements to keep pace with the fast-moving course.* 00:53 *📚 The course will utilize Jupyter Notebooks, with all materials accessible via a GitHub repository.* 02:02 *🔄 The focus of the lesson is on keyword deduplication and list comparison using Python packages like pandas and fuzzy-wuzzy.* 03:49 *🧼 Basic deduplication is taught using set operations in Python to remove exact duplicates from lists of keywords.* 07:45 *🤝 The video explains how to find keyword overlaps between different lists using set intersection.* 09:10 *🔍 It covers identifying unique keywords in one list that aren't present in another using set difference.* 10:45 *🌐 Demonstrates combining keyword lists from multiple sources while removing duplicates using set union.* 11:12 *✅ Boolean logic is used to verify if all keywords in one list are contained in another, indicating complete or partial overlap.* 13:17 *🔧 Introduces the fuzzy-wuzzy Python package for advanced deduplication, which accounts for partial matches and variations in keyword phrases.* 16:21 *📏 Discusses setting thresholds in fuzzy-wuzzy to fine-tune the deduplication process based on similarity criteria.* 20:23 *💾 Shows how to load and manipulate keyword data from CSV files using pandas, aiming to replace Excel processes with Python scripts for efficiency.* 26:13 *🔄 The `.loc` method in pandas allows for flexible indexing to select specific rows or columns by position.* 26:52 *🧮 Demonstrates how to use the `.iloc` method to access dataframe elements purely based on integer positional indexing.* 28:13 *🔽 Showcases how to sort pandas dataframes by column values in ascending or descending order.* 29:43 *🔄 Introduces the `inplace=True` parameter to modify a dataframe directly without needing to reassign it.* 31:08 *🚫 Explains the use of `.dropna()` to remove rows with missing values from specific columns in a dataframe.* 32:27 *📊 Discusses grouping and aggregating data by specific columns using the `.groupby()` method in pandas.* 35:06 *📈 Details custom aggregation functions in pandas to calculate various statistics like mean, sum, and count for grouped data.* 38:05 *🗑️ Teaches how to remove duplicate entries in a dataframe using the `.drop_duplicates()` method.* 39:27 *🧹 Shows how to convert a dataframe column to a list, facilitating operations like deduplication with external libraries.* 42:09 *🔍 Utilizes boolean masking to filter dataframes based on specific conditions, demonstrating an essential technique for data selection.* 44:33 *🛠️ Details advanced filtering techniques using multiple conditions to refine dataset queries further in pandas.* 47:06 *🤖 Introduces a custom function to deduplicate and group keywords using the fuzzy-wuzzy library, enhancing data cleanup capabilities.* 50:26 *📝 Highlights the use of the `.lower()` method to normalize data by converting strings to lowercase, aiding in the deduplication process.* 51:06 *✂️ Discusses stemming and lemmatization techniques to reduce words to their base or root form, streamlining text data preprocessing.* 52:45 *🛠️ Demonstrates how to use stemming functions to reduce sentences to their root forms, enhancing keyword processing efficiency.* 53:40 *🔄 Explains the `.apply()` method in pandas, which allows functions to be applied to elements of a dataframe efficiently.* 55:15 *🌱 Showcases how to apply stemming to a dataframe column to produce a new column with stemmed keywords.* 57:06 *🗄️ Introduces a new column in the dataframe containing stemmed keywords, demonstrating data augmentation techniques.* 58:12 *🔍 Uses the `in` method to check if stemmed keywords appear in a Python list, illustrating a method for filtering data.* 59:27 *🧹 Discusses advanced deduplication techniques using fuzzy-wuzzy to refine lists of stemmed keywords.* 01:00:17 *🔄 Teaches how to reset the index of a dataframe after filtering to maintain clean and sequential indexing.* 01:00:38 *✂️ Demonstrates how to remove unwanted columns from a dataframe using the `.drop()` method, streamlining data for analysis.* 01:01:16 *💾 Covers the method for exporting a cleaned and processed dataframe to a CSV file, useful for data sharing and storage.* Made with HARPA AI

Feedback: You didn't show image quality before after. I didn't understand if the same output can be achieved by giving image.csv path which has all image urls inside it.

template not working and deleted

Musics kinda bit loud, but trying to keepup

Thanks so much for this brother very helpful

I have been saved by this video ! thumbs up + subscribed AND LOOK FORWARD FOR MORE COOL STUFF : )

Awesome! Thanks

Thank you so much for this video. Really useful!

This is incredibly useful for a beginner like me. Thank you for taking the time and having the patience to make this!

Do you need to know introductory python or can I just start with this and still learn web scraping with Beautiful Soup?

Thanks a lot bro, this video helped me solve my problem. I was stuck in dataset preprocessing for long. Thanks again!!

Hey, I really like your videos.. I've a question.. What if I have columns arranged differently for example I have 3 csv's & each contain a column called "name" but in 1 csv it is at column A but in the other one it is at column B & in the 3rd one it is at column C.. how can i then merge csv when columns are not arranged same way in files... how can I arrange them from their name in a master csv ??

Great tutorial

Hey love your tutorials, I'm working on a simple python csv search program, but having tough luck finishing it. Can you please help if you have time?

big thanks mate, this was frustrating me. The bonus bit with Jupyter was also v helpful

Hi, can i do the same thing using selenium?

Thank you sir!! you can explain it very well!!

Can you help me, i want to download all the images from a text document using python (the links from the text it's from wikipedia)

how did you learn python?

This is amazing!!! I spent days trying to this until I I found this video!!!!

U deserve a "like" and "subscribe" keep it up!!

Good Job, Thx.

really helpfull thx !

Thanks, but why I get the command " Jupiter Not found" when I put within the terminal "Jupiter Notebook"?

Thanks a lot! Truly amazing :)

General Assembly is definitely the place to build and grow for coding/data analysis online courses... really enjoyed my experience with you guys (👨‍💻👨‍💻🐼🐍🐼🐍🐼)

Thanks a lot!

Very useful! I initially thought using Aiohttp might be somewhat complicated but you demonstrated otherwise!

👍🏻

Like it, thanks. can you teach basic ML program?

Lo máximo!!

Very good, mate!

I'm Getting this Kind of Error. Can You Help me """"UTF-16 stream does not start with BOM"""""

Do you need linux to use the exclamation mark commands? My computer is giving me the error: 'ls' is not recognized as an internal or external command, operable program or batch file. I imported the three packages at the beginning

Thanks. I needed this to begin my coding education. Best wishes

Can you download anaconda package on ipad?

Thank You it helped me a lot .👍

This worked for me!

Loving it James! Keep up the great stuff!

I can't get my python to work on my terminal. When I type in 'python' it says that 'bash: python: command not found" Pls help!

Cool, i could have use it on my Python geoping project...

Thanks, buddy I was looking for this only.

the best！

thx

Still relevant in 2020! Keep up the content.

clear and concise in a world of unstructured structured chaos