GNU Compiler Collection
clang
Tiny C Compiler
Portable C Compiler
LLVM
Emscripten
Oatpp
VS Code
Pandas
NumPy
Scikit-learn
OpenCV
Dataiku
Exploratory
htm.java
WEKA
GNU Compiler Collection PandasPandas is particularly recommended for data scientists, analysts, and engineers who need to perform data cleaning, transformation, and analysis as part of their work. It is also suitable for academics and researchers dealing with data in various formats and needing powerful tools for their data-driven research.
Based on our record, Pandas should be more popular than GNU Compiler Collection. It has been mentiond 219 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
I want to compile C program for various operating systems from one machine, that's why on macOS M1 I use zig drop-in replacement compiler (can be used on Linux, Windows too) for cross-platform compilation. There are also clang, gcc (usually pre-installed on macOS and Linux). For Windows there are Visual Studio installer or mingw (which installs gcc). - Source: dev.to / 3 months ago
If you are turning your source code into languages such as C or C++, it is required to have great understanding and knowledge of C/C++. Since these languages also have compilers be it GNU Compiler Collection or Clang, we have to do a lot of digging and researching around their features and functionalities. There is a lot of benefit in that once the target codebase grows and developers start reusing the target... - Source: dev.to / 3 months ago
In order to compile Fortran programs, you'll need a Fortran compiler. In this post, we'll be using GNU Fortran (GFortran) to compile Fortran code. GFortran is an implementation of the Fortran programming language in the widely used GNU Compiler Collection (GCC), an open-source project maintained under the umbrella of the GNU Project. To check whether GFortran is already installed. - Source: dev.to / 11 months ago
You can use the website, on mobile or desktop. It works fine. I don't get why people think that if they can't use some 3rd party app to access Reddit they'll ... I dunno, browse the archives at gcc.gnu.org or something. There is nothing else like Reddit. Source: about 2 years ago
It even uses a completely vanilla C++ compiler, with avr-libc and Arduino's own libraries and framework. Source: about 2 years ago
Libraries for data science and deep learning that are always changing. - Source: dev.to / about 2 months ago
# Read the content of nda.txt Try: Import os, types Import pandas as pd From botocore.client import Config Import ibm_boto3 Def __iter__(self): return 0 # @hidden_cell # The following code accesses a file in your IBM Cloud Object Storage. It includes your credentials. # You might want to remove those credentials before you share the notebook. Cos_client = ibm_boto3.client(service_name='s3', ... - Source: dev.to / 2 months ago
As with any web scraping or data processing project, I had to write a fair amount of code to clean this up and shape it into a format I needed for further analysis. I used a combination of Pandas and regular expressions to clean it up (full code here). - Source: dev.to / 2 months ago
Python’s Growth in Data Work and AI: Python continues to lead because of its easy-to-read style and the huge number of libraries available for tasks from data work to artificial intelligence. Tools like TensorFlow and PyTorch make it a must-have. Whether you’re experienced or just starting, Python’s clear style makes it a good choice for diving into machine learning. Actionable Tip: If you’re new to Python,... - Source: dev.to / 4 months ago
This tutorial provides a concise and foundational guide to exploring a dataset, specifically the Sample SuperStore dataset. This dataset, which appears to originate from a fictional e-commerce or online marketplace company's annual sales data, serves as an excellent example for learning and how to work with real-world data. The dataset includes a variety of data types, which demonstrate the full range of... - Source: dev.to / 10 months ago
clang - C, C++, Objective C and Objective C++ front-end for the LLVM compiler.
NumPy - NumPy is the fundamental package for scientific computing with Python
Tiny C Compiler - The Tiny C Compiler is an x86, x86-64 and ARM processor C compiler created by Fabrice Bellard.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Portable C Compiler - pcc is a C99 compiler which aims to be small, simple, fast and understandable.
OpenCV - OpenCV is the world's biggest computer vision library
