vladiant

main : main.o hello.o
	g++-11 -o main main.o hello.o

main.o : main.cpp gcm.cache/smd.hello.gcm
	g++-11 -fPIC -fmodules-ts -std=c++20 -o main.o -c main.cpp

hello.o: hello.cpp
	g++-11 -fPIC -fmodules-ts -std=c++20 -o hello.o -c hello.cpp

gcm.cache/smd.hello.gcm:  hello.o

vladiant

# NOTE: all useful flags for up to GCC 8.1 and Clang 7.0 were added (not included into -Wall -Wextra)
#   * https://gcc.gnu.org/onlinedocs/gcc/Warning-Options.html
#   * https://gcc.gnu.org/onlinedocs/gcc/C-Dialect-Options.html
#   * https://gcc.gnu.org/onlinedocs/gcc/C_002b_002b-Dialect-Options.html
#   * https://clang.llvm.org/docs/DiagnosticsReference.html

set(qa_warn)
set(qa_c_warn)
set(qa_cxx_warn)

vladiant

#!/usr/bin/env python3

import dbus


class Client:
    def __init__(self):
        bus = dbus.SessionBus()
        service = bus.get_object("com.example.service", "/com/example/service")
        self._message = service.get_dbus_method(

vladiant

// With friendly permission of BENOCS GmbH (www.benocs.com)
// https://www.youtube.com/watch?v=KmoTKz95Wsg
// https://godbolt.org/z/73vT1bE86

#include <cstdio>  // Needed for the print-function only!
#include <cstdint>
#include <variant>
#include <system_error>

vladiant

# Compare Algorithms
import pandas
import matplotlib.pyplot as plt
from sklearn import model_selection
from sklearn.linear_model import LogisticRegression
from sklearn.tree import DecisionTreeClassifier
from sklearn.neighbors import KNeighborsClassifier
from sklearn.discriminant_analysis import LinearDiscriminantAnalysis
from sklearn.naive_bayes import GaussianNB
from sklearn.svm import SVC

vladiant

Computer Vision and Perception for Self-Driving Cars (Deep Learning Course)
https://www.youtube.com/watch?v=cPOtULagNnI

Python + Deep Learning

Robotics with Sakshay
https://www.youtube.com/c/roboticswithsakshay/videos

* Road Segmentation
* 2D Object Detection (yolo)

vladiant

import urllib.request 
import requests
from bs4 import BeautifulSoup

with open("images.txt", "r") as fp:
    lines = fp.readlines()
    for url in lines:
        r = requests.get(url=url.strip())
        print(f"URL: {url.strip()}")

vladiant

#include <cmath>
class exact {};
class floating {};
template <class T> bool close_enough(T a, T b, exact) {
    return a == b;
}
template <class T> bool close_enough(T a, T b, floating) {
    return std::abs(a - b) <= static_cast<T>(0.000001);
}
struct false_type { enum { value = false }; };

vladiant

# first: mkdir user && cd user && cp /path/to/get_gists.py .
# python3 get_gists.py user
import requests
import sys
from subprocess import call

user = sys.argv[1]

r = requests.get('https://api.github.com/users/{0}/gists'.format(user))

vladiant

#include <iostream>
#include <vector>

template <class T, class U, class V>
struct Foo {
    T bar;
    std::vector<U> baz;
    V foobar;
};