NumPy Array Indexing, Slicing & Sub setting
*🔎 Day 3: NumPy Indexing, Slicing & Sub setting | Data Engineering with Python*
Welcome to Day 3 of the 30-Day NumPy Course for Data Engineers!
In this video, we dive deep into **array indexing, slicing, and sub setting**, which are crucial for handling large-scale data such as IoT sensor logs, batch files, and ETL datasets.
📚 What You’ll Learn:
Importance of Indexing & Slicing in real-world Data Engineering
1D and 2D Array Indexing
Slicing techniques (1D & 2D)
Boolean Indexing for filtering data
Fancy Indexing using lists of positions
Real-time IoT and batch data examples
View vs Copy: Why it matters in memory management
💻 Practice Tasks:
Extract subarrays from a 5x5 matrix
Reverse arrays using slicing
Filter even numbers and apply fancy indexing
🔁 Watch till the end for *interview questions* and *hands-on coding practice* tailored for aspiring data engineers!
*#NumPy #PythonForDataEngineers #DataEngineering #ETL #Indexing #Slicing #BooleanIndexing #FancyIndexing #MyDataLab*
On this page of the site you can watch the video online NumPy Array Indexing, Slicing & Sub setting with a duration of hours minute second in good quality, which was uploaded by the user MY DATA LAB 13 April 2025, share the link with friends and acquaintances, this video has already been watched 2 times on youtube and it was liked by 0 viewers. Enjoy your viewing!
