Today

Why you need to learn Linux?
Why you need to learn Python?
Course contents review
Development environment setup

Course contents

Linux (basic)
Linux (scripting)
Linux (advanced topics)
Python (basic)
Python (oop)
Python (advanced topics)
Python (standard libraries)
Numpy
Matplotlib
Scipy
Selected Topics

Linux (basic)

Linux file system navigation (ls, cd, cp, mv, rm, tree)
File viewing and manipulation (less, grep, wc, tee, vim, nano)
Getting help (man, tlrd, whatis, whereis, info, apropos)
Package management (apt, snap, flatpack, aptitude)
User management (whoami, id, sudo, useradd, passwd, chown, chmod)
Processes and jobs management (ps, pstree, kill, nice, jobs, fg, bg)
System monitoring (lsb_release, uname, w, uptime, top, df, du, free, iostat)
Networking (host, hostname, ping, ifconfig, ip, netstat, wget, curl)

Linux (scripting)

Command structure
Compound commands
Redirections
Script files
Wildcards and globbing
Variables
Flow control
Loops
Functions

Linux (advanced topics)

zsh
ssh and remote management
tmux
File transfer and management (scp, rsync)
Services (systemd)
Some advanced commands (sed, awk, xargs, parallel, gnuplot)

Python (basic)

Numbers, strings, ...
Flow control
Loops
Functions
Data structures
Modules
I/O

Python (oop)

Introduction to OOP
Methods
Some useful classes (dataclass, enum, namedtuple, ...)
Inheritance
ABCs
Protocols

Python (advanced topics)

Variables (scope, mutability and copy)
Comprehensions
Generators
Closures
Decorators
Iterators
Descriptors
Exceptions
Context managers
Functional programming
Overloading
Data methods
SOLID

Python (standard libraries)

os: Interfaces with operating system functionality.
sys: Interacts with the Python interpreter.
pathlib: Object-oriented file system path manipulation.
collections: Specialized container datatypes.
itertools: Tools for efficient looping.
functools: Higher-order functions and operations on callable objects.
operator: Function equivalents of arithmetic and comparison operators.
argparse: Parser for command-line options, arguments, and sub-commands.
logging: Flexible logging system.
json: JSON serialization and deserialization.
pickle: Object serialization and deserialization.
socket: Interface for network communication.
http.server: Basic HTTP server.
urllib.request: Open and read URLs.
dataclasses: Simplifies class definitions for data storage.
abc: Framework for defining Abstract Base Classes.
typing: Support for type hints.

Numpy

Array creation
Indexing and slicing
Shape manipulation
Broadcasting
Copies and views
numpy.random
numpy.fft
numpy.linalg
numpy.polyfit

Matplotlib

Basic plotting
Matplotlib objects
Stateful vs stateless
pyplot, subplots, subplot_mosaic
Style and parameters
Plot types

Scipy

Integration
Optimization
Interpolation
Fourier transforms
Signal processing
Linear algebra
Sparse arrays
Statistics

Selected Topics

Build and schedule Linux services (systemd)
Introduction to databases (SQL, Postgre, Mongodb)
Docker (Dockerfile, build, compose, swarm)
Webapps (dash and streamlit)
Introduction C and Fortran (compiling and linking, static and dynamic libraries, make, interoperability)
Python extensions (ctypes, numpy, cython, mypy, pybind, numba)
Markdown (rst, md, html) and configuration (json, yaml, toml)
More plotting options (seaborn, plotly/dash, altair, bokeh)
Introduction to machine learning (scikit-learn, pytorch, xgboost)
Parallel python (threading, multiprocessing, concurrent.futures)
Git and GitHub (workflow, actions)
Python library and documentation (pyproject.toml, build, twine, pip, sphinx)
Python CI (testing, linting and profiling) (pylint, mypy, pytest, pytest-cov, scalene)
Symbolic computations (sympy, rubi)
Pandas, Polars, Dask and google sheets API