![]() ![]() At the end of the training you will be working on a real time project for which we will provide you a Grade and a Verifiable Certificate!Įdureka's Python Online Certification Training will make you an expert in Python programming. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.ģ. This is a 5 Week Instructor led Online Course,40 hours of assignment and 20 hours of project workĢ. If you are a 4th year engineering student or a fresh graduate, this program is open to you! Learn more: □ġ. Introducing Edureka Elevate, a one of its kind software development program where you only pay the program fees once you get a top tech job. #Python #Pythontutorial #Pythononlinetraining #Pythonforbeginners #PythonProgramming #PythonNumpy Post Graduate Certification in Data Science with IIT Guwahati - □ PG in Artificial Intelligence and Machine Learning with NIT Warangal : □ Subscribe to our channel to get video updates. This tutorial helps you to learn following topics: It also explains various Numpy operations with examples.Ĭheck out our Python Training Playlist: □ This Edureka Python Numpy tutorial (Python Tutorial Blog: □ explains what exactly is Numpy and how it is better than Lists. ![]() Read hundreds of articles on programming: □Īnd subscribe for new videos on technology every day: □ Learn to code for free and get a developer job: □ ⌨️ (55:59) Problem #2 (How do you index these values?) ⌨️ (50:20) Advanced Indexing and Boolean Masking ⌨️ (43:57) Reorganizing Arrays (reshape, vstack, hstack) ⌨️ (35:45) Basic Mathematics (arithmetic, trigonometry, etc.) ⌨️ (33:42) Be careful when copying variables! ⌨️ (31:34) Problem #1 (How do you initialize this array?) ⌨️ (23:14) Initializing Different Arrays (1s, 0s, full, random, etc.) ⌨️ (16:08) Accessing/Changing Specific Elements, Rows, Columns, etc (slicing) ![]() ⌨️ (11:08) The Basics (creating arrays, shape, size, data type) ⌨️ (01:35) NumPy vs Lists (speed, functionality) The video covers creating arrays, indexing, math, statistics, reshaping, and more. ![]() It starts with the basics of creating arrays and then gets into more advanced stuff. This video goes through how to write code with NumPy. It provides background information on how NumPy works and how it compares to Python's Built-in lists. Learn the basics of the NumPy library in this tutorial for beginners. ![]()
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