matplotplusplus VS data-science-from-scratch

cmake_minimum_required(VERSION 3.5) project(knn_cpp CXX) # Set up C++ version and properties include(CheckIncludeFileCXX) check_include_file_cxx(any HAS_ANY) check_include_file_cxx(string_view HAS_STRING_VIEW) check_include_file_cxx(coroutine HAS_COROUTINE) set(CMAKE_CXX_STANDARD 20) set(CMAKE_BUILD_TYPE Debug) set(CMAKE_CXX_STANDARD_REQUIRED ON) set(CMAKE_CXX_EXTENSIONS OFF) # Copy data file to build directory file(COPY ${CMAKE_CURRENT_SOURCE_DIR}/iris.data DESTINATION ${CMAKE_CURRENT_BINARY_DIR}) # Download library usinng FetchContent include(FetchContent) FetchContent_Declare(matplotplusplus GIT_REPOSITORY https://github.com/alandefreitas/matplotplusplus GIT_TAG origin/master) FetchContent_GetProperties(matplotplusplus) if(NOT matplotplusplus_POPULATED) FetchContent_Populate(matplotplusplus) add_subdirectory(${matplotplusplus_SOURCE_DIR} ${matplotplusplus_BINARY_DIR} EXCLUDE_FROM_ALL) endif() FetchContent_Declare( fmt GIT_REPOSITORY https://github.com/fmtlib/fmt.git GIT_TAG 7.1.3 # Adjust the version as needed ) FetchContent_MakeAvailable(fmt) # Add executable and link project libraries and folders add_executable(${PROJECT_NAME} main.cc) target_link_libraries(${PROJECT_NAME} PUBLIC matplot fmt::fmt) aux_source_directory(lib LIB_SRC) target_include_directories(${PROJECT_NAME} PRIVATE ${CMAKE_CURRENT_SOURCE_DIR}) target_sources(${PROJECT_NAME} PRIVATE ${LIB_SRC}) add_subdirectory(tests)

If you want a C++ solution you can use a library like matplot++.

If you want a strict C++ equivalent to SDL the clear answer is SFML. If you just want to visualize 2D/3D data there's matplot++. If you want something slightly higher-level than SDL/SFML (with pre-made UI widgets and such) there's imGUI. If you need an all-in-one GUI solution for desktop or mobile apps there's Qt.

If not, then ditch Python and matplotlib and use a different C++ native plotting framework such as matplot++

The best way to visualize most mathematical concepts is by plotting a 2D graph. To do that you can use e.g. Matplot++

If you just want to plot graphs in C++ check out https://alandefreitas.github.io/matplotplusplus/. There is extensive documentation on how to use it. But if you haven't used a library before you should start here:

Using a 3rd party UI library, you certainly can. E.g. with MatPlot++

Maybe Matplot++ is the solution. You can check more info in https://github.com/alandefreitas/matplotplusplus

# This is python code from https://github.com/joelgrus/data-science-from-scratch/blob/master/scratch/machine_learning.py def split_data(data: List[X], prob: float) -> Tuple[List[X], List[X]]: """Split data into fractions [prob, 1 - prob]""" data = data[:] # Make a shallow copy random.shuffle(data) # because shuffle modifies the list. cut = int(len(data) * prob) # Use prob to find a cutoff return data[:cut], data[cut:] # and split the shuffled list there.

One of my favorites is Data Science from Scratch, which also has great resources online to follow up on. If you're into DS but confused about how to transition or level up your career, join us at the Data-Centric AI Community, today we have a hands-on session about "Finding Data Science Jobs" with a career coach and DS consultant, it might be helpful!

If you're not, then perhaps start there :) If you are, it is totally possible to learn a lot by yourself, especially with the number of courses and books publicly available. One of my favourites is Data Science from Scratch, which also has great resources online to follow up on.

i am using this textbook : "Data Science from Scratch" by Joel Gurus his github with the files that connect and pair with the textbook material : https://github.com/joelgrus/data-science-from-scratch