Free Code Camp
Codecademy
The Odin Project
edX
Treehouse
W3Schools
Coursera
Khan Academy
NumPy
Pandas
OpenCV
Scikit-learn
Dataiku
Exploratory
htm.java
WEKA
Free Code CampfreeCodeCamp grants certificates to candidates after they finishing a topic/chapter which can enrich your portfolio However, if you are looking/preparing for jobs, leetcode is better
Based on our record, Free Code Camp should be more popular than NumPy. It has been mentiond 576 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Freecodecamp provides 10+ free web development courses in JavaScript, Python, front-end, and back-end that are more than enough to kickstart any developer's career. You learn through interactive coding exercises and articles, and can participate in forum discussions when you get stuck or need help. - Source: dev.to / 2 months ago
Don't do bootcamp. Start with something like https://freecodecamp.org and take a few lessons. Try to build something from that and see how motivated you are. If you see some progress and this thing still excites you, then may be find an engineer (a friend/co worker etc) who can guide you a bit as you continue to build something. Start small and stay away from bootcamps (my 2 cents). - Source: Hacker News / 5 months ago
Self-learning after hours to code: freecodecamp.org. Source: 7 months ago
An effective way to improve your JavaScript skills is working through coding challenges and exercises. Sites like ReviewNPrep, FreeCodeCamp, and HackerRank have tons of challenges that allow you to practice JavaScript concepts by building mini-projects and solving problems. These hands-on challenges force you to apply what you learn. Source: 7 months ago
Was thinking to put certificates, but those are what I earned from platform such as freeCodeCamp.org's backend api development, not sure if it's good to list in resume or not. Source: 10 months ago
How to Accomplish: Develop a script that iterates over the image database, preprocesses each image according to the model's requirements (e.g., resizing, normalization), and feeds them into the model for prediction. Ensure the script can handle large datasets efficiently by implementing batch processing. Use libraries like NumPy or Pandas for data management and TensorFlow or PyTorch for model inference. Include... - Source: dev.to / 23 days ago
NumPy: This library is fundamental for handling arrays and matrices, such as for operations that involve image data. NumPy is used to manipulate image data and perform calculations for image transformations and mask operations. - Source: dev.to / 24 days ago
NumPy - The fundamental package for scientific computing with Python. NumPy Documentation - Official documentation. - Source: dev.to / 29 days ago
This guide covers the basics of NumPy, and there's much more to explore. Visit numpy.org for more information and examples. - Source: dev.to / about 1 month ago
Below is an example of a code cell. We'll visualize some simple data using two popular packages in Python. We'll use NumPy to create some random data, and Matplotlib to visualize it. - Source: dev.to / 10 months ago
Codecademy - Learn the technical skills you need for the job you want. As leaders in online education and learning to code, we’ve taught over 45 million people using a tested curriculum and an interactive learning environment.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
The Odin Project - How it works. This is the website we wish we had when we were learning on our own. We scour the internet looking for only the best resources to supplement your learning and present them in a logical order.
OpenCV - OpenCV is the world's biggest computer vision library
edX - Best Courses. Top Institutions. Learn anytime, anywhere.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.