
Pandas
 Pandas is the best library for data analysis! We can explore, clean, and analyze our data using different data sources

Let's Learn
 Data Analysis with Python: Zero to Pandas  Jovian
 Learn Pandas Tutorials  Kaggle
 Descriptive statistics with python pandas
 Data Preprocessing with Python Pandas — Part 3 Normalisation  by Angelica Lo Duca  Nov, 2020  Towards Data Science
 more Pandas
 Data Exploration with the dtale Library in Python
 8 Python Pandas Value_counts() tricks that make your work more efficient
 The Best Exploratory Data Analysis with Pandas Profiling  by Matt Przybyla  Sep, 2020  Towards Data Science
 A Quick Introduction to the “Pandas” Python Library  by Adi Bronshtein  Towards Data Science
 Package overview — pandas 1.1.1 documentation
 75 Pandas Exercises with Solutions
 Data Cleaning

NumPy
 NumPy allows us to work with Ndimensional arrays easy!
 Let's Learn

Scikitlearn

Scikitlearn is the great library for machine learning: predictive modeling and analysis.
 Some notes about decision trees
 allow to create different types of machine learning models

Plotly

Plotly is powerful tool for visualizations
 easy to use
 create dynamic dashboards

Let's Learn
 The Next Level of Data Visualization in Python
 Interactive Visualizations with Plotly
 Шпаргалка по визуализации данных в Python с помощью Plotly

Seaborn
 Seaborn is the most effective library for creating different visualizations to understand the models more properly
 One of the most important features of Seaborn is the creation of amplified data visuals. Some of the correlations that are not obvious initially can be displayed in a visual context, allowing Data Scientists to understand the models more properly.
 Due to its customizable themes and highlevel interfaces, it provides welldesigned and extraordinary data visualizations, hence making the plots very attractive, which can, later on, be shown to stakeholders.

Let's learn
 Python Seaborn tutorial
 Data Visualization

To Learn

Gradio
 to build and deploy web apps for machine learning

TensorFlow
 to implement neural networks

Keras
 to create deep learning model

SciPy
 to solve differential equations and much more

Prophet
 Предсказываем будущее с помощью библиотеки Facebook Prophet

More MindMaps
 Some notes about decision trees
 MLпродукты, разбираем основы
 my Jupiter notebooks

and not
 https://www.kdnuggets.com/2021/03/top10pythonlibraries2021.html
 The Ultimate ScikitLearn Machine Learning Cheatsheet
 Data Science Learning Roadmap for 2021