Meetup Python Nantes - les tests en pythonArthur Lutz
Au programme :
• introduction aux tests unittaires
• lancer les tests : unittest de base, py.test, nose, pytest, etc.
• tox pour lancer les test dans des virtualenvs
• l'intégration continue avec python (jenkins, travis, etc.)
• les tests en prod : healthchecks au cœur de l'application
Java OOP Programming language (Part 1) - Introduction to JavaOUM SAOKOSAL
Java OOP Programming language (Part 1) - Introduction to Java
In this slide, you will the basic of Java. Where Java came from and how it evolves? And start your first Java app.
Oum Saokosal
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Analysis of Fatal Utah Avalanches with Python. From Scraping, Analysis, to In...Matt Harrison
I gave this presentation at Code Camp. As a data scientist and backcountry skier, I was interested in looking at fatal avalanche data. This covers scraping the data, analysis with Python, pandas and IPython Notebook. The final result is an infographic
object-oriented JavaScript is somewhat redundant, as the JavaScript language is completely object-oriented and is impossible to use otherwise.
Objects are the foundation of JavaScript. Virtually everything within the language is an object. Much of the power of the language is derived from this fact.
Design patterns are advanced object-oriented solutions to commonly occurring software problems. Patterns are about reusable designs and interactions of objects.
Learning notes of r for python programmer (Temp1)Chia-Chi Chang
R has several basic data types including integers, numerics, characters, complexes, and logicals. Objects in R include vectors, matrices, lists, data frames, factors, and environments. Functions like length(), mode(), class(), and str() can provide properties of R objects. R supports control structures like if/else, for loops, while loops, and repeat loops. R also has rich graphics capabilities for creating plots, histograms and other visualizations using both base and lattice graphics. Common packages used with R include those for statistics, machine learning, and working with time series and financial data.
This document provides an introduction to Python basics including:
- Python is simple to use, powerful due to extensive libraries, free and open source, and portable across operating systems.
- Python supports literal constants like strings ("Hello") and numbers (2.5), as well as variables to store values. Variables must start with a letter or underscore and can include letters, numbers and underscores.
- Python uses hash marks (#) for comments and whitespace is ignored. Multiple statements can be written on one line separated by semicolons.
PyCon 2013 : Scripting to PyPi to GitHub and MoreMatt Harrison
This document discusses various aspects of developing and distributing Python projects, including versioning, configuration, logging, file input, shell invocation, environment layout, project layout, documentation, automation with Makefiles, packaging, testing, GitHub, Travis CI, and PyPI. It recommends using semantic versioning, the logging module, parsing files with the file object interface, invoking shell commands with subprocess, using virtualenv for sandboxed environments, Sphinx for documentation, Makefiles to automate tasks, setuptools for packaging, and GitHub, Travis CI and PyPI for distribution.
This document discusses overloading stream insertion (<<) and extraction (>>) operators for user-defined classes like Complex. It shows how to define these operators as member functions or non-member friend functions to allow objects of the class to be written to or read from streams like cout and cin. It also briefly mentions overloading other binary operators like == and != for comparison.
This document provides instructions for installing Python and various Python libraries on Mac OS X. It describes downloading and installing Python from python.org. It also explains how to install pip and then use pip to install popular Python packages like NumPy, SciPy, Matplotlib, Scikit-learn, TensorFlow, Theano, PyGame, OpenCV, and Requests. The user is instructed to open Terminal and run pip3 install package_name to install these libraries for Python 3.X. Detailed steps are provided for compiling and installing OpenCV from source.
Python is a simple yet powerful programming language that can be used for a wide range of tasks. The document provides an introduction to Python, discussing why it is a good language to learn, its history and examples of common uses. It covers Python's syntax, data types, modules, object oriented programming and how to interface Python with databases and other languages. The goal is to illustrate Python's versatility and ease of use through examples.
This document provides an introduction and overview of Python including sections on syntax, lists and dictionaries, for loops, and implementation examples. The introduction covers that Python code is indented using whitespace rather than brackets, semicolons are optional, and data types do not need declaration. Lists are described as arrays that can hold different data types indexed by number, while dictionaries hold key-value pairs indexed by keys that can be numbers, strings, or other data types. For loops in Python iterate over each item in a list or dictionary without needing an explicit condition. The implementation section provides examples of using for loops over lists, creating and accessing a dictionary of fruits, and making lists of dictionaries to demonstrate Python concepts.
This document provides an introduction and overview of Python and the Flask web framework. It discusses key Python concepts like objects, references, memory management and data types. It also covers Flask topics like routing, templates, request objects, sessions and authentication. The document aims to give readers a high-level understanding of Python and how to build basic web applications with Flask.