Data Analysis with Python: Part 3 of 6 Numerical Computing with Numpy (Live Course)
“Data Analysis with Python: Zero to Pandas” is a practical, beginner-friendly and coding-focused introduction to data analysis covering the basics of Python, Numpy, Pandas, data visualization and exploratory data analysis. You can learn more and register for a Certificate of Accomplishment at http://zerotopandas.com
⭐️ Resources ⭐️
🔗 Numerical computing with Numpy: https://jovian.ml/aakashns/python-numerical-computing-with-numpy
🔗 100 Numpy exercises: https://jovian.ml/aakashns/100-numpy-exercises
🔗 Numpy array operations assignment: https://jovian.ml/learn/data-analysis-with-python-zero-to-pandas/assignment/assignment-2-numpy-array-operations
🔗 Discussion forum: https://jovian.ml/forum/t/lecture-3-numerical-computing-with-python-numpy/10593
⭐️ Topics covered ⭐️
⌨️ Going from Python lists to Numpy arrays
⌨️ Working with multi-dimensional arrays
⌨️ Array operations, slicing and broadcasting
⌨️ Working with CSV data files
🎥 Watch the entire series here: https://www.youtube.com/playlist?list=PLWKjhJtqVAblvI1i46ScbKV2jH1gdL7VQ
✏️This course is taught by Aakash N S, cofounder & CEO of Jovian.ml - a platform for sharing, showcasing and collaborating on data science projects online
🔗 YouTube: https://youtube.com/jovianml
🔗 Twitter: https://twitter.com/jovianml
🔗 LinkedIn: https://linkedin.com/company/jovianml
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