Must watch data science videos from SciPy conference 2015 related to machine learning, data mining, data visualization in python, statistics have been listed here.
donnemartin/data-science-ipython-notebooks
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
Python Tools for Machine Learning
Do you want to work on exciting technologies in NYC? Be part of something great. Python is one of the best programming languages out there, with an extensive coverage in scientific computing: computer vision, artificial intelligence, mathematics, astronomy to name …
12 Python Data Visualization Libraries to Explore for Business Analysis | Mode
This list is an overview of 10 interdisciplinary Python data visualization libraries including matplotlib, Seaborn, Plotly, Bokeh, pygal, geoplotlib, & more.
Data Structures for Statistical Computing in Python
In this paper we are concerned with the practical issues of working with data sets common to finance, statistics, and other related fields. pandas is a new library which aims to facilitate working with these data sets and to provide a set of fundamental building blocks for implementing statistical models.
jakevdp/PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
SciPy 1.0: fundamental algorithms for scientific computing in Python
SciPy is an open-source scientific computing library for the Python programming language. Since its initial release in 2001, SciPy has become a de facto standard for leveraging scientific algorithms in Python, with over 600 unique code contributors, thousands of dependent packages, over 100,000 dependent repositories and millions of downloads per year. In this work, we provide an overview of the capabilities and development practices of SciPy 1.0 and highlight some recent technical developments.
Pydata Paris Virtual Meetup June 2021
Video course: Python for journalists | DataJournalism.com
The course Python for Journalists is meant for journalists looking to learn the most common uses of Python for data journalism. During four modules the…
Content – Michael Clark
Here you’ll find documents of varying technical degree covering things of interest to me, or which I think will be interesting to those I engage with. Generally you’ll find a mix of demonstrations on statistical and machine learning topics, programming, and data processing and visualization. Most focus on application in R as that’s what I used to primarily program with, but you’ll find plenty of Python demonstrations as well. Be aware that some of the content is a bit dated, but even if the programming aspects are a bit off, the concepts should still be relevant.
pandas-dev/pandas: Pandas
Pandas is a powerful data structures for data analysis, time series, and statistics.
Teaching Data Science by Visualizing Data Table Transformations: Pandas Tutor for Python, Tidy Data Tutor for R, and SQL Tutor
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Python Tutorial | Learn Python Programming Language - GeeksforGeeks
Your All-in-One Learning Portal: GeeksforGeeks is a comprehensive educational platform that empowers learners across domains-spanning computer science and programming, school education, upskilling, commerce, software tools, competitive exams, and more.
Julia Evans: Diving into Open Data with IPython Notebook & Pandas - PyCon 2014
SciPy 2026
Conference update: SciPy 2026 will be held in Minneapolis with in-person and remote attendance options.
The Story of Python and how it took over the world | Python: The Documentary