198 подписчиков
168 видео
Scipy 2020 - 8.12 - Working with Pandas - Exploration (optional)
Scientific Programming in Python 2018 - Lecture 9
Scipy 2020 - 6.5 - Plotting with Matplotlib - Annotations
Scipy 2020 - 9.6 - Statistical Visualization - plotnine/ggplot
Scipy 2020 - Additional Material - Full Installation: Windows
Scipy 2020 - 11.2 - Statistical Modeling - Simple Linear Regression
Scipy 2020 - 10.3 - Mathematical Processing with Scipy - Calculus
Scipy 2020 - 7.P - Framing Data with Pandas - Practice Week 7
Scipy 2020 - 9.3 - Statistical Visualization - Exploratory data analysis
Scipy 2020 - 12.5 - Creating Experiments - Logging
Scipy 2020 - 9.10 - Statistical Visualization - Interactive Vis: Jupyter Widgets
Scipy 2020 - 4.5 - Numerical Computing with Numpy - Advanced Indexing
Scientific Programming in Python 2018 - Lecture 10
Scipy 2020 - 9.8 - Statistical Visualization - Customization with matplotlib
Scipy 2020 - 12.1 - Creating Experiments - Introduction
Scipy 2020 - 10.5 - Mathematical Processing with Scipy - Fourier Transform
Scipy 2020 - 2.3 - Basic Python - Functions and Methods
Scipy 2020 - 8.6 - Working with Pandas - Pandas Plotting
Scipy 2020 - 8.11 - Working with Pandas - Date Ranges (optional)
Scipy 2020 - 8.4 - Working with Pandas - Discretizing
Scipy 2020 - 13.6 - Performance Optimization - Cython (optional)
Scipy 2020 - 13.3.4 - Performance Optimization - Serialization
Scipy 2020 - 3.9 - Advanced Python - Lambda Expressions
Scipy 2020 - 12.P - Creating Experiments - Practice Week 12
Scipy 2020 - 10.4 - Mathematical Processing with Scipy - Signal Processing
Scipy 2020 - 12.7 - Creating Experiments - Outro
Scipy 2020 - 6.2 - Plotting with Matplotlib - Plotting Functions
Scipy 2020 - 10.2 - Mathematical Processing with Scipy - Integrating
Scipy 2020 - 13.3.3 - Performance Optimization - Multiprocessing: High Level Multiprocessing
Scipy 2020 - 3.1 - Advanced Python - The Python Data Model
Scipy 2020 - 10.1 - Mathematical Processing with Scipy - Linear Algebra
Scipy 2020 - 1.3.2 - Introduction - Course Overview - Topics Covered in this Course
Scipy 2020 - 9.2 - Statistical Visualization - Intro: Our red thread (optional)
Scipy 2020 - 12.2.1 - Creating Experiments - GUIs: PyGame
Scipy 2020 - 11.1 - Statistical Modeling - Linear Models
Scipy 2020 - 3.4 - Advanced Python - Exceptions
Scipy 2020 - 11.3 - Statistical Modeling - Understanding Regression: The Sampling Distribution
Scipy 2020 - 2.1 - Basic Python - Basic Types
Scipy 2020 - 4.2 - Numerical Computing with Numpy - Creating Arrays
Scipy 2020 - 7.4 - Framing Data with Pandas - UFuncs & Aggregation
Scipy 2020 - 9.1 - Statistical Visualization - Intro: Beyond Matplotlib
Scipy 2020 - 11.6 - Statistical Modeling - Multiple Linear Regression
Scipy 2020 - 12.3 - Creating Experiments - Experiment Design
Scipy 2020 - 12.2.3 - Creating Experiments - GUIs: Expyriment
Scientific Programming in Python 2018 - Lecture 6
Scipy 2020 - 8.1 - Working with Pandas - Missing Values
Scipy 2020 - 13.3.2 - Performance Optimization - Multiprocessing: Pool
Scipy 2020 - 12.6 - Creating Experiments - Full Experiments
Scipy 2020 - 9.9 - Statistical Visualization - Interactive Vis: Plotly
Scipy 2020 - Additional Material - Full Installation: Unix
