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Python

Core

Intro
Syntax
- Operators
  - Order
- Keywords
  - Is in array (in)
  - yield
- Functions
  - Parameters
- OOP
- Exceptions
- Decorators
Data types
- Basic
  - str
  - list
  - dict
  - set
- Datetime
Imports
Files & folders
- Pathlib
Data class
Cli arguments
- Library argparse
Packages
Interpreter
- Build

Standard library

collections
Unittest
Logging
Type annotations
- Annotation cases
- Mypy
re
- Match/Search
Concurrency
- Multiprocessing
  - Pool
  - Start methods
- Threading
Hashlib
Zipfile
Socket

Pandas

Intro
Data types
- datetime
- Columns by types
Creating & loading
Data transformations
- Groupby
  - groupby parameters
  - Usage options
Data selecting
Data visualisation
Styles
Display options
Inline column add (assign)

Scikit-learn

Intro
Data transform
Grid search CV
Saving models
Nearest neighbors
- Metric

Torch

Intro
Tensor
Loss functions
Gradient
Layers
Managing network
- Sequential
- Saving model
Devices
Data primitives
- Data set
Vision
Examples

FastAPI

Intro
Run application
Requests
- Request object
- Pydantic model
Responses
- JSON
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Logging
Documentation
- Parameters
Cache
CORS

Visualisation

Matplotlib
- matplotlib tables
- Gif creation
Plotly
Dash

SQL

Psycopg
Clickhouse
sqlite
SQLAlchemy
- Metadata
- Create table
- Query
- Add record
- Relations

Packages

Numpy
To excel import
Jupyter
- IPython
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  - Reload modules
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- Traitlets
  - Application
Jinja
Docker SDK
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Transformers
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APScheduler
Selenium
Ranx
- Queries documents entry
TQDM
Redis
- Redis client
Surprise
Airflow
Geopy
- Distances
- Request
Requests
MLflow
Tkinter
LangChain

.md

Intro

Intro#

Is a library that implements many tools for machine learning and advanced data analysis.

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Inline column add (assign)

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Data transform

By Fedor Kobak

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