Scientific Python Lectures

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Computers - Computer Certification & Training
Scientific Python Lectures

Scientific Python Lectures

Gaël Varoquaux, Emmanuelle Gouillart, Olav Vahtras Pierre de Buyl, and many others.

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Tutorials on the scientific Python ecosystem: a quick introduction to central tools and techniques. The different chapters each correspond to a 1 to 2 hours course with increasing level of expertise, from beginner to expert.

Release 2024.1 (April 2024)

Python 3.10, 3.11, 3.12

Renamed Scientific Python Lectures

Removed old content

Major updates to support recent packages

Updates to the SciPy and scikit-image chapters

카테고리:

Computers - Computer Certification & Training

년:

2024

출판사:

Independently published

언어:

english

페이지:

1049

파일:

PDF, 18.68 MB

IPFS:

,

english, 2024

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다운로드 (pdf, 18.68 MB)

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Julia Evans — Profiling & Tracing With Perf

Julia Evans — Linux Debugging Tools You'll Love

Julia Evans — Bite Size Command Line!

Julia Evans — HTTP: Learn your browser's language!

Julia Evans — Hell Yes! CSS!

Julia Evans — Bite Size Networking

Julia Evans — Bite Size Linux!

Julia Evans — Bite Size Bash!

Julia Evans — Become a SELECT star!

Julia Evans — The Pocket Guide to Debugging

Oliver Theobald — Machine Learning: Make Your Own Recommender System (Machine Learning with Python for Beginners Book 3)

Julia Evans — How Integers and Floats Work

תמיר מנדובסקי — השקעות לעצלנים – הדרך הפשוטה להשקעה ארוכת-טווח בשוק ההון

Cc Taylor — Machine Learning, Neural And Statistical Classification

Mike Chapple & Sharif Nijim — CompTIA DataSys+ Study Guide：Exam DS0-001

-- — CompTIA PenTest+ PT0-001 Practice Exam Questions 2020: 100+ Practice Questions and Free One-month Unlimited Access on Examsdigest.com

Steinkamp, Veit; — Python for Engineering and Scientific Computing

Adam Wathan, Steve Schoger — Refactoring UI

GoalKicker.com — C Notes for Professionals

Matt Beane — The Skill Code: How to Save Human Ability in an Age of Intelligent Machines

Tahera Firdose — Ultimate Pandas for Data Manipulation and Visualization: Efficiently Process and Visualize Data with Python’s Most Popular Data Manipulation Library (English Edition)

Claudio Jolowicz — Hypermodern Python Tooling: Building Reliable Workflows for an Evolving Python Ecosystem

Julia Evans — Let's learn tcpdump!

Mark Balch — Complete Digital Design: A Comprehensive Guide to Digital Electronics and Computer System Architecture

Shannon Vallor — The AI Mirror: How to Reclaim Our Humanity in an Age of Machine Thinking

Sedgewick, Robert — Algorithms in C (Computer Science Series)

Jose P. Zagal — Seeing Red: Nintendo's Virtual Boy

Kenneth A. Lambert — Fundamentals Of Python: First Programs (MindTap Course List), 3rd Edition

John Tuhao Chen & Lincy Y. Chen & Clement Lee — Statistical Prediction and Machine Learning

Wayne Sewell — Weaving a Program: Literate Programming in WEB

Girish Parkish — Programmer Productivity: Achieving an Urgent Priority

Michael S. Hyatt — Invasion of Privacy: How to Protect Yourself in the Digital Age

Inam Ullah Khan, Abou el Houba,Maria Ouaissa — Cyber Security for next-generation Computing Technologies

Maxim Mozgovoy — Playful Python Projects: Modeling and Animation

Di Wu — Data Mining with Python: Theory, Application, and Case Studies

Gafoor Rafael — A Comprehensive Guide to Coding and Programming in Stata

Kyran Dale — Data Visualization with Python and JavaScript: Scrape, Clean, Explore, and Transform Your Data

Tobias Zwingmann, Willi Weber — Augmented Analytics: Enabling Analytics Transformation for Data-Informed Decisions

Alistair Croll, Benjamin Yoskovitz — Lean Analytics: Use Data to Build a Better Startup Faster

Souvik Pal, Dac-Nhuong Le, Prasant Kumar Pattnaik — Cloud Computing Solutions

Ric Messier — CEH v12 Certified Ethical Hacker Study Guide with 750 Practice Test Questions

David Seidl — CompTIA Security+ Practice Tests

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