Python Coding (CLCODING)
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Top 5 Image Processing libraries in Python for 2021🐍
🔸Scikit-image
🔸OpenCV
🔸SciPy
🔸Pillow
🔸Mahotas
Top 5 libraries for Image processing in Python 🐍
Most common Python Data types:
1. Integers
2. Floating Points
3. Strings
4. Lists
5. Dictionaries
6. Tuples
7. Sets
8. Booleans
16th Lecture : https://youtu.be/n0IW90u2ahE
Please go through the video. There is a test end of the series. Top 10 will be awarded.
Top 10 free Python Courses for 2021.
1. Web Scraping with Python
Join using this link:
https://www.eduonix.com/web-scraping-with-python/UHJvZHVjdC0xNTMzMTgw
2. Python crash course
Join using this link:
https://www.eduonix.com/python-crash-course/UHJvZHVjdC0xNTMzMTgw
3.Python Data Analysis for Excel Users: A Hands-On Guide
https://www.eduonix.com/python-data-analysis-for-excel-users-a-hands-on-guide/UHJvZHVjdC0xNTMzMTgw
Python for Data Science
https://www.eduonix.com/python-for-data-science/UHJvZHVjdC0xNTMzMTgw
5. Python Ethical Hacking : Build tools for ethical hacking
https://www.eduonix.com/python-ethical-hacking-build-tools-for-ethical-hacking/UHJvZHVjdC0xNTMzMTgw
6. Python Scripting for Automation
https://www.eduonix.com/python-scripting-for-automation/UHJvZHVjdC0xNTMzMTgw
7. Neural Networks (ANN) using Keras and TensorFlow in Python
https://www.eduonix.com/neural-networks-ann-using-keras-and-tensorflow-in-python/UHJvZHVjdC0xNTMzMTgw
8. Python Data Science Basics with Numpy, Pandas and Matplotlib for Beginners
https://www.eduonix.com/python-data-science-basics-with-numpy-pandas-and-matplotlib-for-beginners/UHJvZHVjdC0xNTMzMTgw
9. Machine Learning Advanced: Decision Trees in Python
Use Decision Trees to solve business problems and build high accuracy prediction models in Python
https://www.eduonix.com/machine-learning-advanced-decision-trees-in-python/UHJvZHVjdC0xNTMzMTgw
10. Tensorflow for Practitioners with Python
This Getting Started With Tensorflow tutorial will help you in understanding how to use and reuse Tensorflow effectively.
https://www.eduonix.com/tensorflow-for-practitioners-with-python/UHJvZHVjdC0xNTMzMTgw
Thank You!
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