Python Tutorials

Guided lessons covering Python fundamentals, data science, visualizations, and more — read and run code without leaving your browser.

Data visualization

32 tutorials

Volcano Plots in Altair Volcano Plots in Bokeh Citation Network Analysis with NetworkX Web Maps with Folium Matplotlib Arrows Matplotlib Axis Labels Bar Plots in Matplotlib Matplotlib Colormaps Matplotlib Named Colors Custom Legend with Matplotlib Fill the Area Between Curves in Matplotlib Customizing Font Size in Matplotlib Heatmaps in Matplotlib Adding Horizontal Lines in Matplotlib Customizing Line Styles in Matplotlib Quiver Plots in Matplotlib Scatter Plots in Matplotlib Stacked Bar Plots in Matplotlib Creating Tables in Matplotlib Matplotlib Text Dual Y-Axis Plots in Matplotlib Volcano Plots in Matplotlib Matplotlib vs Plotly Network Analysis with NetworkX Adding New Columns to DataFrames - Pandas vs. Polars Dendrograms in Plotly Histograms in Plotly Scatter Plots in Plotly Histograms with Seaborn Shortest Path Analysis in NetworkX Social Network Analysis with NetworkX Visualizing NetworkX Graphs with Plotly

Python Basics

23 tutorials

Biopython

19 tutorials

Working with ABI Files in Biopython Working with Ambiguous Nucleotides in Biopython Working with Amino Acid Sequences in Biopython BLAST with Biopython Custom Alignment Scoring Matrices in Biopython Downloading and Aligning Homologous Genes with Biopython Working with Entrez Databases in Biopython Working with FASTA Files in Biopython Working with FASTQ Files in Biopython Working with GenBank Files in Biopython Identifying Restriction Sites for Cloning with Biopython Working with Multiple Sequence Alignments in Biopython Working with Nucleotide Sequences in Biopython Pairwise Sequence Alignment in Biopython Working with Phylogenetic Trees with Biopython Working with Protein Structures (PDB Files) in Biopython Working with Restriction Enzymes in Biopython Reverse Complement and Transcription in Biopython Translating DNA to Protein in Biopython

Matplotlib

19 tutorials

Matplotlib Arrows Matplotlib Axis Labels Bar Plots in Matplotlib Matplotlib Colormaps Matplotlib Named Colors Custom Legend with Matplotlib Fill the Area Between Curves in Matplotlib Customizing Font Size in Matplotlib Heatmaps in Matplotlib Adding Horizontal Lines in Matplotlib Customizing Line Styles in Matplotlib Quiver Plots in Matplotlib Scatter Plots in Matplotlib Stacked Bar Plots in Matplotlib Creating Tables in Matplotlib Matplotlib Text Dual Y-Axis Plots in Matplotlib Volcano Plots in Matplotlib Matplotlib vs Plotly

Data Structures

12 tutorials

Booleans Counter Dataclasses defaultdict Dictionaries enum Lists namedtuple Numbers Sets Strings Tuples

SciPy

11 tutorials

Bootstrap Confidence Intervals with SciPy Chi-Square Test of Independence with SciPy Correlation Analysis with SciPy Independent Samples t-Test with SciPy Kernel Density Estimation with SciPy Kolmogorov-Smirnov Test with SciPy Linear Regression with SciPy Mann-Whitney U Test with SciPy Multiple Hypothesis Testing with SciPy Normality Tests with SciPy One-Way ANOVA with SciPy

Statistics

11 tutorials

Bootstrap Confidence Intervals with SciPy Chi-Square Test of Independence with SciPy Correlation Analysis with SciPy Independent Samples t-Test with SciPy Kernel Density Estimation with SciPy Kolmogorov-Smirnov Test with SciPy Linear Regression with SciPy Mann-Whitney U Test with SciPy Multiple Hypothesis Testing with SciPy Normality Tests with SciPy One-Way ANOVA with SciPy

Object-Oriented Programming

9 tutorials

Class inheritance Class vs instance attributes Classes @classmethod Method overriding Public, private, and protected attributes @property @staticmethod The "super" method

Data Science

8 tutorials

Linear Regression in Python Autoregressive Integrated Moving Average (ARIMA) Models in Python Using the Statsmodels Formula API for Regression Linear Regression in Python with Statsmodels Logistic Regression in Python with Statsmodels Multiple Linear Regression with Statsmodels Regression Diagnostics with Statsmodels SARIMAX Time Series Forecasting with Statsmodels

Statsmodels

7 tutorials

Autoregressive Integrated Moving Average (ARIMA) Models in Python Using the Statsmodels Formula API for Regression Linear Regression in Python with Statsmodels Logistic Regression in Python with Statsmodels Multiple Linear Regression with Statsmodels Regression Diagnostics with Statsmodels SARIMAX Time Series Forecasting with Statsmodels

Functions

6 tutorials

Args and kwargs Decorators Functions Keyword arguments Lambda functions Local and global scope

Control Flow

6 tutorials

Conditional statements Continue and break statements For loops for-else Functions While loops

Advanced Python

6 tutorials

Context Managers Custom Exceptions Decorators Generators Assignment by reference Try-Except Blocks

Builtins

5 tutorials

10 commonly used built-in functions enumerate filter map zip

Plotly

5 tutorials

Matplotlib vs Plotly Dendrograms in Plotly Histograms in Plotly Scatter Plots in Plotly Visualizing NetworkX Graphs with Plotly

Regression

5 tutorials

Using the Statsmodels Formula API for Regression Linear Regression in Python with Statsmodels Logistic Regression in Python with Statsmodels Multiple Linear Regression with Statsmodels Regression Diagnostics with Statsmodels

NetworkX

4 tutorials

Citation Network Analysis with NetworkX Shortest Path Analysis in NetworkX Social Network Analysis with NetworkX Visualizing NetworkX Graphs with Plotly

Decorators

4 tutorials

@classmethod Decorators @property @staticmethod

Error Handling

4 tutorials

Custom Exceptions Exceptions Handling KeyError Try-Except Blocks

Strings

4 tutorials

f-strings Print statements Strings String Formatting

Other Modules

4 tutorials

File I/O The glob module The math module The os module

Time Series

2 tutorials

Autoregressive Integrated Moving Average (ARIMA) Models in Python SARIMAX Time Series Forecasting with Statsmodels

Altair

1 tutorial

Volcano Plots in Altair

Bokeh

1 tutorial

Volcano Plots in Bokeh

Performance

1 tutorial

Pandas

1 tutorial

Adding New Columns to DataFrames - Pandas vs. Polars

Polars

1 tutorial

Adding New Columns to DataFrames - Pandas vs. Polars

Functools

1 tutorial

Classification

1 tutorial

Logistic Regression in Python with Statsmodels