Mastering Matplotlib

Main
Computers
Mastering Matplotlib

Mastering Matplotlib

Duncan M. McGreggor

5.0 / 5.0

यह पुस्तक आपको कितनी अच्छी लगी?

फ़ाइल की गुणवत्ता क्या है?

पुस्तक की गुणवत्ता का मूल्यांकन करने के लिए यह पुस्तक डाउनलोड करें

डाउनलोड की गई फ़ाइलों की गुणवत्ता क्या है?

श्रेणियाँ:

साल:

2015

प्रकाशन:

Packt Publishing

भाषा:

english

पृष्ठ:

292

ISBN 10:

1783987545

ISBN 13:

9781783987542

फ़ाइल:

PDF, 19.35 MB

IPFS:

,

english, 2015

ऑनलाइन पढ़ें

डाउनलोड करें (pdf, 19.35 MB)

में रूपांतरण जारी है

में रूपांतरण विफल रहा

आप के लिए दिलचस्प हो सकता है

Christian Mayer (Author), Lukas Rieger (Author), Zohaib Riaz (Author) — Coffee Break NumPy

it-ebooks — DataCamp Matplotlib Cheat heet

it-ebooks — DataCamp Numpy Cheat Sheet

it-ebooks — Python数据科学速查表 - Matplotlib 绘图

SymPy Development Team — SymPy Documentation

Srinivasa Rao Poladi — Matplotlib 3.0 秘籍（初译）

Alexandre Devert — Matplotlib 绘图秘籍（初译）

TAB W. KEITH — Matplotlib Tutorial: Learn Matplotlib by Examples. Instructions are clear, concise and effective. Theory, Principles and Practice

Bernd Klein — Python Data Analysis Numpy, Matplotlib and Pandas

Sergio J. Rojas G., Erik A. Christensen, Francisco J. Blanco-Silva — Learning SciPy for Numerical and Scientific Computing

Jacky Bai — Pandas Hands-on: Data Analysis Crash Course

Smith, Django — Python Machine Learning: The Crash Course for Beginners to Programming and Deep Learning, Artificial Intelligence, Neural Networks and Data Science. Scikit Learn, Tensorflow, Pandas and Numpy.

HOOD, CODING; Kölling, Michail — Python Data Science: After work guide to start learning Data Science on your own. Avoid common beginners mistakes of coding. Approach Panda and NumPy to become a brilliant computer programmer.

Lamy, Ronan — Instant SymPy starter: learn to use SymPy's symbolic engine to simplify Python calculations

Amy Brown, Greg Wilson — The Architecture Of Open Source Applications, Volume II

Eli Bressert — SciPy and NumPy: An Overview for Developers

Allen B. Downey — Think Complexity: Complexity Science and Computational Modeling

Jeroen Janssens — Data Science at the Command Line: Obtain, Scrub, Explore, and Model Data with Unix Power Tools

James McCaffrey — SciPy Programming Succinctly

Oliver Durr; Beate Sick; Elvis Murina; [Oliver Dürr & Beate Sick & Elvis Murina] — Probabilistic Deep Learning: With Python, Keras and TensorFlow Probability

Matt A. Wood — Python and Matplotlib Essentials for Scientists and Engineers

Publishing, AI — Python Scikit- Learn for Beginners: Scikit- Learn Specialization for Data Scientist

Igor Milovanovic — Python Data Visualization Cookbook

Ronan Lamy — Instant SymPy Starter

Ivan Idris — NumPy Beginner's Guide, 2nd Edition: An action packed guide using real world examples of the easy to use, high performance, free open source NumPy mathematical library

López, Félix; Romero, Víctor — Mastering Python regular expressions : leverage regular expressions in Python even for the most complex features

Tony Ojeda, Sean Patrick Murphy, Benjamin Bengfort, Abhijit Dasgupta — Practical Data Science Cookbook: 89 hands-on recipes to help you complete real-world data science projects in R and Python

Ivan Idris — Learning NumPy Array: Supercharge your scientific Python computations by understanding how to use the NumPy library effectively

Francisco J. Blanco-Silva — Mastering SciPy

Michael Heydt — Learning pandas: Get to grips with pandas - a versatile and high-performance Python library for data manipulation, analysis, and discovery

Cyrille Rossant — Learning IPython for Interactive Computing and Data Visualization - Second Edition

Duncan M. McGreggor — Mastering matplotlib: A practical guide that takes you beyond the basics of matplotlib and gives solutions to plot complex data

Kirthi Raman — Mastering Python Data Visualization

Benjamin V. Root — Interactive Applications Using Matplotlib: Don't just see your data, experience it!

Liang-Hua Chin & Tanmay Datta [Chin, Liang-Hua & Datta, Tanmay] — Numpy Essentials

Ivan Idris — NumPy, 3rd Edition: Build efficient, high-speed programs using the high-performance NumPy mathematical library

Ivan Idris — Python Data Analysis Cookbook

Dan Toomey — Jupyter for Data Science

Dan Toomey — Learning Jupyter

Cyrille Rossant — IPython Interactive Computing and Visualization Cookbook

Heydt, Michael — Learning Pandas

Allen Yu, Claire Chung, Aldrin Yim — Matplotlib 2 by Example

सबसे उपयोगी शब्द