corpus.blog
56,966 blogs · [ { "id": "01a087a1-5e47-728c-b41c-ccec19bac58a", "title": "Best C++ Libraries for Scientific Computing in 2025 (with Boilerplate Project)", "url": "https://www.matecdev.com/posts/cpp-best-libraries-scientific-computing.html", "published_at": "2026-04-13T00:00:00+00:00" }, { "id": "01a087a1-5e47-728c-b41c-ccec190bebeb", "title": "Building a Budget GPU Rig with Used Hardware for CUDA and AI", "url": "https://www.matecdev.com/posts/buy-used-gpu-cluster-cuda.html", "published_at": "2026-04-07T00:00:00+00:00" }, { "id": "01a087a1-5e47-728c-b41c-ccec19857e2b", "title": "When Does On-Prem HPC Beat the Cloud? A TCO Analysis", "url": "https://www.matecdev.com/posts/cloud-hpc-cost-tco.html", "published_at": "2026-04-07T00:00:00+00:00" }, { "id": "01a087a1-5e48-7205-aea5-f21b23e432c1", "title": "Nanobind vs Pybind11: Calling C++ from Python in 2026", "url": "https://www.matecdev.com/posts/nanobind-vs-pybind11-cpp-python.html", "published_at": "2026-04-07T00:00:00+00:00" }, { "id": "01a087a1-5e47-728c-b41c-ccec18a6d7a6", "title": "Choosing a GPU Cloud Provider for Learning CUDA", "url": "https://www.matecdev.com/posts/best-gpu-cloud-for-learning-cuda.html", "published_at": "2025-03-13T00:00:00+00:00" }, { "id": "01a087a1-5e48-7205-aea5-f21b2995fe0a", "title": "Budget GPUs for CUDA development: a short buying guide", "url": "https://www.matecdev.com/posts/tips-buying-budget-used-gpu-cuda.html", "published_at": "2025-01-12T00:00:00+00:00" }, { "id": "01a087a1-5e48-7205-aea5-f21b2648ee32", "title": "3 Python Packages for the Yahoo Finance (unofficial) API", "url": "https://www.matecdev.com/posts/python-packages-yahoo-finance.html", "published_at": "2024-10-08T00:00:00+00:00" }, { "id": "01a087a1-5e47-728c-b41c-ccec1cea1407", "title": "How Early Programming Training Prepares Students for a Software Development Career", "url": "https://www.matecdev.com/posts/early-programming-training.html", "published_at": "2024-05-04T00:00:00+00:00" }, { "id": "01a087a1-5e47-728c-b41c-ccec24da6380", "title": "Resizing and Concatenating Arrays", "url": "https://www.matecdev.com/posts/julia-array-resize-concatenate.html", "published_at": "2023-11-14T00:00:00+00:00" }, { "id": "01a087a1-5e47-728c-b41c-ccec1ef88f0f", "title": "How to Call Fortran from Python", "url": "https://www.matecdev.com/posts/fortran-in-python.html", "published_at": "2023-11-13T00:00:00+00:00" }, { "id": "01a087a1-5e48-7205-aea5-f21b26003930", "title": "Using Numpy's FFT in Python", "url": "https://www.matecdev.com/posts/python-fft.html", "published_at": "2023-10-31T00:00:00+00:00" }, { "id": "01a087a1-5e47-728c-b41c-ccec321eca96", "title": "Organizing Your Julia Code", "url": "https://www.matecdev.com/posts/julia-organizing-code.html", "published_at": "2023-09-11T00:00:00+00:00" }, { "id": "01a087a1-5e47-728c-b41c-ccec1a8b9e58", "title": "Performance of C-style arrays vs C++ std::vector", "url": "https://www.matecdev.com/posts/cpp-vector-array-performance.html", "published_at": "2023-08-11T00:00:00+00:00" }, { "id": "01a087a1-5e47-728c-b41c-ccec27c0691c", "title": "Developing Local Packages", "url": "https://www.matecdev.com/posts/julia-develop-local-packages.html", "published_at": "2023-07-18T00:00:00+00:00" }, { "id": "01a087a1-5e47-728c-b41c-ccec19306e0f", "title": "Stack vs Heap Allocation in C: Pros and Cons", "url": "https://www.matecdev.com/posts/c-heap-vs-stack-allocation.html", "published_at": "2023-07-17T00:00:00+00:00" }, { "id": "01a087a1-5e47-728c-b41c-ccec1ab7c943", "title": "Data Analysis Without Using Math: An example workflow", "url": "https://www.matecdev.com/posts/data-analysis-without-math.html", "published_at": "2023-07-05T00:00:00+00:00" }, { "id": "01a087a1-5e48-7205-aea5-f21b20e80825", "title": "Is the Julia Language Worth Learning? (Pros and Cons)", "url": "https://www.matecdev.com/posts/julia-worth-learning.html", "published_at": "2023-06-22T00:00:00+00:00" }, { "id": "01a087a1-5e47-728c-b41c-ccec3ba3da46", "title": "Tuples and Named Tuples", "url": "https://www.matecdev.com/posts/julia-tuples.html", "published_at": "2023-06-13T00:00:00+00:00" }, { "id": "01a087a1-5e47-728c-b41c-ccec21b0dac4", "title": "Julia: 17X Faster than Python's Scipy, and Easier Too!", "url": "https://www.matecdev.com/posts/julia-17x-faster-vs-python-scipy.html", "published_at": "2023-06-03T00:00:00+00:00" }, { "id": "01a087a1-5e47-728c-b41c-ccec270aaedf", "title": "Creating a New Project", "url": "https://www.matecdev.com/posts/julia-create-project.html", "published_at": "2023-05-11T00:00:00+00:00" }, { "id": "01a087a1-5e47-728c-b41c-ccec341bdf4f", "title": "Performance Optimizations Checklist", "url": "https://www.matecdev.com/posts/julia-performance-checklist.html", "published_at": "2023-01-02T00:00:00+00:00" }, { "id": "01a087a1-5e47-728c-b41c-ccec350ab227", "title": "Axis Limits and Aspect Ratios", "url": "https://www.matecdev.com/posts/julia-plotting-axis-limits-aspect-ratio.html", "published_at": "2022-11-15T00:00:00+00:00" }, { "id": "01a087a1-5e47-728c-b41c-ccec35191321", "title": "Text and Font Sizes", "url": "https://www.matecdev.com/posts/julia-plotting-font-size.html", "published_at": "2022-11-15T00:00:00+00:00" }, { "id": "01a087a1-5e47-728c-b41c-ccec357e2948", "title": "Community Plots.jl Gallery", "url": "https://www.matecdev.com/posts/julia-plotting-gallery.html", "published_at": "2022-11-15T00:00:00+00:00" }, { "id": "01a087a1-5e47-728c-b41c-ccec35b3222e", "title": "Gridlines", "url": "https://www.matecdev.com/posts/julia-plotting-gridlines.html", "published_at": "2022-11-15T00:00:00+00:00" }, { "id": "01a087a1-5e47-728c-b41c-ccec364a28ea", "title": "Legend Position", "url": "https://www.matecdev.com/posts/julia-plotting-legend-position.html", "published_at": "2022-11-15T00:00:00+00:00" }, { "id": "01a087a1-5e47-728c-b41c-ccec373fd627", "title": "Lines Styles and Markers", "url": "https://www.matecdev.com/posts/julia-plotting-linestyle-markers.html", "published_at": "2022-11-15T00:00:00+00:00" }, { "id": "01a087a1-5e47-728c-b41c-ccec3806344b", "title": "Log and semilog plots", "url": "https://www.matecdev.com/posts/julia-plotting-log-scale.html", "published_at": "2022-11-15T00:00:00+00:00" }, { "id": "01a087a1-5e47-728c-b41c-ccec38e5fe5d", "title": "Multiple Subplots", "url": "https://www.matecdev.com/posts/julia-plotting-multiple-plots.html", "published_at": "2022-11-15T00:00:00+00:00" }, { "id": "01a087a1-5e47-728c-b41c-ccec39e15f13", "title": "Plots.jl Quick Reference", "url": "https://www.matecdev.com/posts/julia-plotting.html", "published_at": "2022-11-15T00:00:00+00:00" }, { "id": "01a087a1-5e47-728c-b41c-ccec3b21fc8a", "title": "Structs", "url": "https://www.matecdev.com/posts/julia-structs.html", "published_at": "2022-11-14T00:00:00+00:00" }, { "id": "01a087a1-5e47-728c-b41c-ccec1a2c91f8", "title": "How to Call C++ from Python", "url": "https://www.matecdev.com/posts/cpp-call-from-python.html", "published_at": "2022-09-16T00:00:00+00:00" }, { "id": "01a087a1-5e48-7205-aea5-f21b22c88b63", "title": "Math for Game Developers: What to Learn (And Why!)", "url": "https://www.matecdev.com/posts/math-for-game-development.html", "published_at": "2022-09-12T00:00:00+00:00" }, { "id": "01a087a1-5e47-728c-b41c-ccec20c2a445", "title": "Industry vs Academia for STEM PhDs: 4 Things to Consider", "url": "https://www.matecdev.com/posts/industry-academia-phd.html", "published_at": "2022-08-23T00:00:00+00:00" }, { "id": "01a087a1-5e47-728c-b41c-ccec1b5e2513", "title": "Domain Knowledge in Data Science: An Overview", "url": "https://www.matecdev.com/posts/data-science-domain-knowledge.html", "published_at": "2022-08-18T00:00:00+00:00" }, { "id": "01a087a1-5e48-7205-aea5-f21b22f38fef", "title": "How Much Math do Data Analyst or Data Scientists Need?", 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"01a087a1-5e47-728c-b41c-ccec2cc20575", "title": "For Loops", "url": "https://www.matecdev.com/posts/julia-for-loops.html", "published_at": "2021-11-06T00:00:00+00:00" }, { "id": "01a087a1-5e48-7205-aea5-f21b1fed7ccf", "title": "Numerical Variables", "url": "https://www.matecdev.com/posts/julia-types-numerical.html", "published_at": "2021-10-25T00:00:00+00:00" }, { "id": "01a087a1-5e48-7205-aea5-f21b200589b9", "title": "String Concatenation and Formatting", "url": "https://www.matecdev.com/posts/julia-types-strings.html", "published_at": "2021-10-25T00:00:00+00:00" }, { "id": "01a087a1-5e48-7205-aea5-f21b201ce90d", "title": "Basic Variable Types", "url": "https://www.matecdev.com/posts/julia-types.html", "published_at": "2021-10-25T00:00:00+00:00" }, { "id": "01a087a1-5e47-728c-b41c-ccec3002aa61", "title": "Arrays, Vectors and Matrices", "url": "https://www.matecdev.com/posts/julia-numerical-arrays.html", "published_at": "2021-10-15T00:00:00+00:00" }, { "id": "01a087a1-5e47-728c-b41c-ccec2dae89bf", "title": "Linear Least Squares", "url": "https://www.matecdev.com/posts/julia-least-squares-qr.html", "published_at": "2021-10-14T00:00:00+00:00" }, { "id": "01a087a1-5e48-7205-aea5-f21b23eea82a", "title": "Testing Julia: Fast as Fortran, Versatile as Python", "url": "https://www.matecdev.com/posts/numpy-julia-fortran.html", "published_at": "2021-09-21T00:00:00+00:00" }, { "id": "01a087a1-5e48-7205-aea5-f21b29acb62d", "title": "5 Reasons Why Fortran is Still Used", "url": "https://www.matecdev.com/posts/why-fortran-still-used.html", "published_at": "2021-09-20T00:00:00+00:00" }, { "id": "01a087a1-5e47-728c-b41c-ccec314f9811", "title": "Numerical Integration", "url": "https://www.matecdev.com/posts/julia-numerical-integration.html", "published_at": "2021-09-10T00:00:00+00:00" }, { "id": "01a087a1-5e47-728c-b41c-ccec2d1d0551", "title": "Polynomial Interpolation", "url": "https://www.matecdev.com/posts/julia-interpolation.html", "published_at": "2021-09-01T00:00:00+00:00" }, { "id": "01a087a1-5e47-728c-b41c-ccec2982aaf4", "title": "Solving Linear Systems", "url": "https://www.matecdev.com/posts/julia-efficient-solution-linear-systems.html", "published_at": "2021-08-09T00:00:00+00:00" }, { "id": "01a087a1-5e47-728c-b41c-ccec2d964b63", "title": "Getting Started with VSCode", "url": "https://www.matecdev.com/posts/julia-introduction-vscode.html", "published_at": "2021-07-10T00:00:00+00:00" }, { "id": "01a087a1-5e47-728c-b41c-ccec3ba46c96", "title": "Julia Programming Tutorial", "url": "https://www.matecdev.com/posts/julia-tutorial-science-engineering.html", "published_at": "2021-07-10T00:00:00+00:00" }, { "id": "01a087a1-5e47-728c-b41c-ccec1c9b59c0", "title": "How to Download Remote Sensing Data with Python", "url": "https://www.matecdev.com/posts/download-remote-sensing-data-python.html", "published_at": "2021-07-01T00:00:00+00:00" }, { "id": "01a087a1-5e48-7205-aea5-f21b228590f4", "title": "Download an Https Directory with Authentication in Python", "url": "https://www.matecdev.com/posts/login-download-files-python.html", "published_at": "2021-07-01T00:00:00+00:00" }, { "id": "01a087a1-5e48-7205-aea5-f21b29e6a14c", "title": "Will Julia Replace Fortran for High-Performance Computing?", "url": "https://www.matecdev.com/posts/will-julia-replace-fortran-hpc.html", "published_at": "2021-06-14T00:00:00+00:00" }, { "id": "01a087a1-5e47-728c-b41c-ccec2d11de7e", "title": "Functions", "url": "https://www.matecdev.com/posts/julia-functions.html", "published_at": "2021-06-04T00:00:00+00:00" }, { "id": "01a087a1-5e48-7205-aea5-f21b2520fdd3", "title": "Run Fast Point-in-Polygon Tests", "url": "https://www.matecdev.com/posts/point-in-polygon.html", "published_at": "2021-05-04T00:00:00+00:00" } ] posts Claim your blog
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2026

Best C++ Libraries for Scientific Computing in 2025 (with Boilerplate Project)original ↗
13 Apr 2026
Building a Budget GPU Rig with Used Hardware for CUDA and AIoriginal ↗
7 Apr 2026
When Does On-Prem HPC Beat the Cloud? A TCO Analysisoriginal ↗
7 Apr 2026
Nanobind vs Pybind11: Calling C++ from Python in 2026original ↗
7 Apr 2026

2025

Choosing a GPU Cloud Provider for Learning CUDAoriginal ↗
13 Mar 2025
Budget GPUs for CUDA development: a short buying guideoriginal ↗
12 Jan 2025

2024

3 Python Packages for the Yahoo Finance (unofficial) APIoriginal ↗
8 Oct 2024
How Early Programming Training Prepares Students for a Software Development Careeroriginal ↗
4 May 2024

2023

Resizing and Concatenating Arraysoriginal ↗
14 Nov 2023
How to Call Fortran from Pythonoriginal ↗
13 Nov 2023
Using Numpy's FFT in Pythonoriginal ↗
31 Oct 2023
Organizing Your Julia Codeoriginal ↗
11 Sept 2023
Performance of C-style arrays vs C++ std::vectororiginal ↗
11 Aug 2023
Developing Local Packagesoriginal ↗
18 Jul 2023
Stack vs Heap Allocation in C: Pros and Consoriginal ↗
17 Jul 2023
Data Analysis Without Using Math: An example workfloworiginal ↗
5 Jul 2023
Is the Julia Language Worth Learning? (Pros and Cons)original ↗
22 Jun 2023
Tuples and Named Tuplesoriginal ↗
13 Jun 2023
Julia: 17X Faster than Python's Scipy, and Easier Too!original ↗
3 Jun 2023
Creating a New Projectoriginal ↗
11 May 2023
Performance Optimizations Checklistoriginal ↗
2 Jan 2023

2022

Axis Limits and Aspect Ratiosoriginal ↗
15 Nov 2022
Text and Font Sizesoriginal ↗
15 Nov 2022
Community Plots.jl Galleryoriginal ↗
15 Nov 2022
Gridlinesoriginal ↗
15 Nov 2022
Legend Positionoriginal ↗
15 Nov 2022
Lines Styles and Markersoriginal ↗
15 Nov 2022
Log and semilog plotsoriginal ↗
15 Nov 2022
Multiple Subplotsoriginal ↗
15 Nov 2022
Plots.jl Quick Referenceoriginal ↗
15 Nov 2022
Structsoriginal ↗
14 Nov 2022
How to Call C++ from Pythonoriginal ↗
16 Sept 2022
Math for Game Developers: What to Learn (And Why!)original ↗
12 Sept 2022
Industry vs Academia for STEM PhDs: 4 Things to Consideroriginal ↗
23 Aug 2022
Domain Knowledge in Data Science: An Overvieworiginal ↗
18 Aug 2022
How Much Math do Data Analyst or Data Scientists Need?original ↗
8 Aug 2022
Bisection Methodoriginal ↗
20 Jul 2022
Newton-Raphson Methodoriginal ↗
20 Jul 2022
Rootfinding and Optimizationoriginal ↗
20 Jul 2022
Generate Random Points in a Polygonoriginal ↗
18 Jul 2022
Geospatial Python Tutorialoriginal ↗
7 Jul 2022
Extract Points from Shapely Polygonoriginal ↗
7 Jul 2022
Merge a List of Polygonsoriginal ↗
7 Jul 2022
Plot Shapely Polygon with Matplotliboriginal ↗
7 Jul 2022
Create Polygon from Pointsoriginal ↗
7 Jul 2022
Polygon Griddingoriginal ↗
7 Jul 2022
Landsat & Sentinel-2 Data on AWSoriginal ↗
6 Jul 2022
Google Earth Engine Goes Commercial: 5 Things to Consideroriginal ↗
5 Jul 2022
How to Work with Legacy Fortran Code: A Short Guidelineoriginal ↗
5 Jul 2022
Examples of Multiple Dispatchoriginal ↗
4 Jul 2022
Numerical Computing in Juliaoriginal ↗
20 Jun 2022
Boolean Variablesoriginal ↗
3 Jun 2022
Array Indexing and Slicingoriginal ↗
1 Jun 2022
Using the FFTW Library in Juliaoriginal ↗
7 May 2022
Data Structuresoriginal ↗
5 Feb 2022
Dictionariesoriginal ↗
5 Feb 2022
Scientific Software Development: Learning Best Practicesoriginal ↗
31 Jan 2022
Julia vs Numba and Cython: Looking Beyond Microbenchmarksoriginal ↗
18 Jan 2022

2021

Collaborating on Existing Packagesoriginal ↗
9 Dec 2021
Pure and Applied Mathematics FAQoriginal ↗
7 Dec 2021
Basic Formulas and Propertiesoriginal ↗
3 Dec 2021
Using the Fast Fourier Transformoriginal ↗
3 Dec 2021
FFT Convolution and Zero-Paddingoriginal ↗
3 Dec 2021
FFT Derivativeoriginal ↗
3 Dec 2021
FFT Interpolation and Zero-Paddingoriginal ↗
3 Dec 2021
Commercial vs Open-Source Simulation Softwareoriginal ↗
23 Nov 2021
Automated Documentationoriginal ↗
16 Nov 2021
Environments, Projects and Packagesoriginal ↗
16 Nov 2021
Compiling a Custom Sysimageoriginal ↗
16 Nov 2021
Writing and Running Testsoriginal ↗
16 Nov 2021
Arrays Functions and the Dot Operatororiginal ↗
6 Nov 2021
Initializing Arrays and Matricesoriginal ↗
6 Nov 2021
Array Operationsoriginal ↗
6 Nov 2021
For Loopsoriginal ↗
6 Nov 2021
Numerical Variablesoriginal ↗
25 Oct 2021
String Concatenation and Formattingoriginal ↗
25 Oct 2021
Basic Variable Typesoriginal ↗
25 Oct 2021
Arrays, Vectors and Matricesoriginal ↗
15 Oct 2021
Linear Least Squaresoriginal ↗
14 Oct 2021
Testing Julia: Fast as Fortran, Versatile as Pythonoriginal ↗
21 Sept 2021
5 Reasons Why Fortran is Still Usedoriginal ↗
20 Sept 2021
Numerical Integrationoriginal ↗
10 Sept 2021
Polynomial Interpolationoriginal ↗
1 Sept 2021
Solving Linear Systemsoriginal ↗
9 Aug 2021
Getting Started with VSCodeoriginal ↗
10 Jul 2021
Julia Programming Tutorialoriginal ↗
10 Jul 2021
How to Download Remote Sensing Data with Pythonoriginal ↗
1 Jul 2021
Download an Https Directory with Authentication in Pythonoriginal ↗
1 Jul 2021
Will Julia Replace Fortran for High-Performance Computing?original ↗
14 Jun 2021
Functionsoriginal ↗
4 Jun 2021
Run Fast Point-in-Polygon Testsoriginal ↗
4 May 2021