Courses

Want to get up to speed with Pandas FAST? Tired of spending hours in data science courses? I hear you! I give you, Pandas in 20 minutes! In this crash course you'll learn the 20% percent of Pandas you need to know to give you the 80% of results. You'll learn everything you need to know to get up and running with your data science project super FAST. In this video you’ll learn how to: 1. Create data frames from a range of sources 2. Update, visualise and preprocess data in data frames 3. Output your preprocessed data frames to csv, JSON and HTML Github Repo for the Project: https://github.com/nicknochnack/Pandasin20Minutes Want to learn more about it all: Pandas Documentation: https://pandas.pydata.org/docs/ Oh, and don't forget to connect with me! LinkedIn: https://www.linkedin.com/in/nicholasr... Facebook: https://www.facebook.com/nickrenotte/ GitHub: https://github.com/nicknochnack Happy coding! Nick P.s. Let me know how you go and drop a comment if you need a hand! Music by Lakey Inspired Chill Day - https://www.youtube.com/watch?v=3HjG1Y4QpVA

This course from Harvard University explores the concepts and algorithms at the foundation of modern artificial intelligence, diving into the ideas that give rise to technologies like large language models, game-playing engines, handwriting recognition, and machine translation. Through hands-on projects, students gain exposure to the theory behind graph search algorithms, classification, optimization, reinforcement learning, and other topics in artificial intelligence and machine learning as they incorporate them into their own Python programs. This course has been updated for 2023 to include an in-depth section on large language models. ✏️ Course developed by Brian Yu for Harvard University. Learn more about Brian: https://brianyu.me/ 🔗 Course resources: https://cs50.harvard.edu/ai/2020/ ⭐️ Course Contents ⭐️ ⌨️ (00:00:00) Introuction ⌨️ (00:02:26) Search ⌨️ (01:51:55) Knowledge ⌨️ (03:39:39) Uncertainty ⌨️ (05:34:08) Optimization ⌨️ (07:18:52) Learning ⌨️ (09:04:41) Neural Networks ⌨️ (10:46:00) Language 🎉 Thanks to our Champion and Sponsor supporters: 👾 davthecoder 👾 jedi-or-sith 👾 南宮千影 👾 Agustín Kussrow 👾 Nattira Maneerat 👾 Heather Wcislo 👾 Serhiy Kalinets 👾 Justin Hual 👾 Otis Morgan -- Learn to code for free and get a developer job: https://www.freecodecamp.org Read hundreds of articles on programming: https://freecodecamp.org/news

Python for Data Analysis: In this course we will work on 3 projects IPL, Football and Marvel Superheroes we will also teach you concepts of python analytics. Enroll today for this free course and get free certificate.

Description

Learn Python programming from Harvard University. It dives more deeply into the design and implementation of web apps with Python, JavaScript, and SQL using frameworks like Django, React, and Bootstrap. Topics include database design, scalability, security, and user experience. You will learn how to write and use APIs, create interactive UIs, and leverage cloud services like GitHub and Heroku. This course will teach you how to read and write code as well as how to test and “debug” it. It is designed for students with or without prior programming experience who’d like to learn Python specifically. Learn about functions, arguments, and return values (oh my!); variables and types; conditionals and Boolean expressions; and loops. Learn how to handle exceptions, find and fix bugs, and write unit tests; use third-party libraries; validate and extract data with regular expressions; model real-world entities with classes, objects, methods, and properties; and read and write files. Hands-on opportunities for lots of practice. Exercises inspired by real-world programming problems. No software required except for a web browser, or you can write code on your own PC or Mac. Whereas CS50x (the original CS50 course) itself focuses on computer science more generally as well as programming with C, Python, SQL, and JavaScript, this course, aka CS50P, is entirely focused on programming with Python. You can take CS50P before CS50x, during CS50x, or after CS50x. But for an introduction to computer science itself, you should still take CS50x! 💻 Slides, source code, and more at https://cs50.harvard.edu/python ✏️ Dr. David J. Malan teaches this course. 🖥 Watch the original CS50x course: https://youtu.be/8mAITcNt710 ⭐️ Course Contents ⭐️ (00:00:00) Introduction (00:04:48) Lecture 0 - Functions, Variables (01:50:24) Lecture 1 - Conditionals (02:46:23) Lecture 2 - Loops (04:07:10) Lecture 3 - Exceptions (04:51:45) Lecture 4 - Libraries (06:09:15) Lecture 5 - Unit Tests (07:00:22) Lecture 6 - File I/O (08:32:32) Lecture 7 - Regular Expressions (10:37:35) Lecture 8 - Object-Oriented Programming (13:28:47) Lecture 9 - Et Cetera HOW TO JOIN CS50 COMMUNITIES Discord: https://discord.gg/cs50 Ed: https://cs50.harvard.edu/x/ed Facebook Group: https://www.facebook.com/groups/cs50/ Faceboook Page: https://www.facebook.com/cs50/ GitHub: https://github.com/cs50 Gitter: https://gitter.im/cs50/x Instagram: https://instagram.com/cs50 LinkedIn Group: https://www.linkedin.com/groups/7437240/ LinkedIn Page: https://www.linkedin.com/school/cs50/ Medium: https://cs50.medium.com/ Quora: https://www.quora.com/topic/CS50 Reddit: https://www.reddit.com/r/cs50/ Slack: https://cs50.edx.org/slack Snapchat: https://www.snapchat.com/add/cs50 SoundCloud: https://soundcloud.com/cs50 Stack Exchange: https://cs50.stackexchange.com/ TikTok: https://www.tiktok.com/@cs50 Twitter: https://twitter.com/cs50 YouTube: https://www.youtube.com/cs50 HOW TO FOLLOW DAVID J. MALAN Facebook: https://www.facebook.com/dmalan GitHub: https://github.com/dmalan Instagram: https://www.instagram.com/davidjmalan/ LinkedIn: https://www.linkedin.com/in/malan/ TikTok: https://www.tiktok.com/@davidjmalan Twitter: https://twitter.com/davidjmalan LICENSE CC BY-NC-SA 4.0 Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International Public License https://creativecommons.org/licenses/by-nc-sa/4.0/