Radix
×

Python

curated by Camillo

Python

Its language constructs and object-oriented approach aim to help programmers write clear, logical code for small and large-scale projects.

It comes from

↑ Computer programming

and can be followed into

↓ Machine Learning

↓ Data Visualization

↓ Data Science

Learn more basics

Apply learned concepts

Learn new concepts

Apply concepts with



  • pip Package manager

    Command line tool to manage shared Python code and libraries

    Upvote

  • pytest Framework

    Testing tool that helps you write better programs, pip install -U pytest

    Upvote

  • NumPy Library

    Fundamental package for scientific computing, array and linear algebra functions

    Upvote

  • Keras Software Library

    High-level neural networks API, running on top of TensorFlow, CNTK, or Theano

    Upvote

  • PyTorch Framework

    Open source deep learning platform that provides a seamless path from research prototyping to production deployment

    Upvote

  • pandas Library

    Data structures and data analysis tools

    Upvote

  • Natural Language Toolkit Software library

    Text processing libraries for classification, tokenization, stemming, tagging, parsing, and semantic reasoning, working in computational linguistics

    Upvote

  • TensorFlow Framework

    Open-source, numerical computation

    Upvote

  • Matplotlib Library

    Generate plots, histograms, power spectra, bar charts, errorcharts, scatterplots, etc.

    Upvote

  • PyCharm Edu IDE

    Learn Python directly inside a code editor

    Upvote

  • python Programming language

    Interpreted, high-level, general-purpose programming language

    Upvote

  • Anaconda Distribution Program

    Perform code on Linux, Windows, and Mac OS X

    Upvote

  • Atom IDE

    Code editor

    Upvote

  • OpenFace Library

    Implementation of face recognition with deep neural networks

    Upvote

  • Agate Library

    Alternative to numpy and pandas that solves real-world problems with readable code

    Upvote

  • Pandas Tutorial (Data Analysis In Python) Tutotrial

    Dataframe, read excel/csv, groupby,

    Upvote

  • Introduction to Data Science in Python Online Course

    Data manipulation, cleaning analysis, pandas, Series and DataFrames, groupby, merge, and pivot tables, hypothesis testing

    Upvote

  • python-kurs.eu Portal

    Advanced topics about Python, introduction to NumPy and matrix multiplication

    Upvote

  • Introduction to Computer Science and Programming Using Python Lectures

    Important computer science concepts, computation, simple algorithms, testing and debuggin, introduction to algorithmic complexity, data structures

    Upvote

  • Learn Python 3 Lessons

    Fundamental programming concepts, syntax, control flow, lists, loops, strings, , modules, dictionaries, files, classes, function arguments

    Upvote

  • Computer Science Online Course

    Introduction to Programming, software development skills, data structures, Big-O notation, sorting & search algorithms,

    Upvote

  • Applied Plotting, Charting & Data Representation in Python Online Course

    Principles of Information Visualization, basic charting with Matplotlib

    Upvote

  • Chris Albon

    Code snippets on data manipulation, preprocessing, machine Learning, deep learning, statistics

    Upvote

  • Python for Data Analysis Non-Fiction

    Manipulating, processing, cleaning, and crunching data with Pandas, NumPy, and IPython

    Upvote

  • Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow

    Concepts, algorithm and applications with Scikit-Learn, Keras, and TensorFlow

    Upvote

  • Think Stats 2e Online Book

    Exploratory data analysis, distributions, probability mass functions, cumulative distribution functions, modeling, probability density functions, hypothesis testing

    Upvote

  • Python Data Science Handbook E-Book

    Introduction to Numpy, Data Manipulation with Pandas, Visualization with Matplotlib, Machine Learning with Scikit-Learn

    Upvote

  • Data Wrangling with Python Guide

    Basic Python syntax, data types, language concepts, scrape websites and APIs, Python libraries, automate entire data-wrangling process

    Upvote

  • Python for Data Analysis Non-Fiction

    Manipulating, processing, cleaning, and crunching data with Pandas, NumPy, and IPython

    Upvote

  • learnpython.org Tutorial

    Short and effective exercises

    Upvote

  • Introduction to Data Science in Python Online Course

    Data manipulation, cleaning analysis, pandas, Series and DataFrames, groupby, merge, and pivot tables, hypothesis testing

    Upvote

  • Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow

    Concepts, algorithm and applications with Scikit-Learn, Keras, and TensorFlow

    Upvote

  • python-kurs.eu Portal

    Advanced topics about Python, introduction to NumPy and matrix multiplication

    Upvote

  • Introduction to Computer Science and Programming Using Python Lectures

    Important computer science concepts, computation, simple algorithms, testing and debuggin, introduction to algorithmic complexity, data structures

    Upvote

  • Think Stats 2e Online Book

    Exploratory data analysis, distributions, probability mass functions, cumulative distribution functions, modeling, probability density functions, hypothesis testing

    Upvote

  • PyCharm Edu IDE

    Learn Python directly inside a code editor

    Upvote

  • Python Data Science Handbook E-Book

    Introduction to Numpy, Data Manipulation with Pandas, Visualization with Matplotlib, Machine Learning with Scikit-Learn

    Upvote

  • Learn Python 3 Lessons

    Fundamental programming concepts, syntax, control flow, lists, loops, strings, , modules, dictionaries, files, classes, function arguments

    Upvote

  • Pandas Tutorial (Data Analysis In Python) Tutotrial

    Dataframe, read excel/csv, groupby,

    Upvote

  • Computer Science Online Course

    Introduction to Programming, software development skills, data structures, Big-O notation, sorting & search algorithms,

    Upvote

  • Data Wrangling with Python Guide

    Basic Python syntax, data types, language concepts, scrape websites and APIs, Python libraries, automate entire data-wrangling process

    Upvote

  • Applied Plotting, Charting & Data Representation in Python Online Course

    Principles of Information Visualization, basic charting with Matplotlib

    Upvote

  • Colaboratory IDE

    Jupyter notebook environment execute, save and share code, from your browser

    Upvote

  • NumPy Library

    Fundamental package for scientific computing, array and linear algebra functions

    Upvote

  • Keras Software Library

    High-level neural networks API, running on top of TensorFlow, CNTK, or Theano

    Upvote

  • Project Jupyter IDE

    Jupyter notebook environment execute, save and share code, from your browser

    Upvote

  • PyTorch Framework

    Open source deep learning platform that provides a seamless path from research prototyping to production deployment

    Upvote

  • pandas Library

    Data structures and data analysis tools

    Upvote

  • Natural Language Toolkit Software library

    Text processing libraries for classification, tokenization, stemming, tagging, parsing, and semantic reasoning, working in computational linguistics

    Upvote

  • Papers With Code Plattform

    Curated implementations of machine learning models in pytorch, tensor flow, caffe2, computer vision, natural language processing

    Upvote

  • TensorFlow Framework

    Open-source, numerical computation

    Upvote

  • pip Package manager

    Command line tool to manage shared Python code and libraries

    Upvote

  • Matplotlib Library

    Generate plots, histograms, power spectra, bar charts, errorcharts, scatterplots, etc.

    Upvote

  • Anaconda Distribution Program

    Perform code on Linux, Windows, and Mac OS X

    Upvote

  • Chris Albon

    Code snippets on data manipulation, preprocessing, machine Learning, deep learning, statistics

    Upvote

  • pytest Framework

    Testing tool that helps you write better programs, pip install -U pytest

    Upvote

  • Atom IDE

    Code editor

    Upvote

  • OpenFace Library

    Implementation of face recognition with deep neural networks

    Upvote

  • Agate Library

    Alternative to numpy and pandas that solves real-world problems with readable code

    Upvote

  • 0% Module 1
    0% Module 2
    0% Module 3
    0% Module 4

    Information

    Education

    Exchange

    Application

    Contact PersonCamillo
    is curator for
    Python