Download Learning IPython for Interactive Computing and Data by Cyrille Rossant PDF

By Cyrille Rossant

ISBN-10: 1783986980

ISBN-13: 9781783986989

Get all started with Python for info research and numerical computing within the Jupyter notebook

About This Book

  • Learn the fundamentals of Python within the Jupyter Notebook
  • Analyze and visualize info with pandas, NumPy, matplotlib, and seaborn
  • Perform highly-efficient numerical computations with Numba, Cython, and ipyparallel

Who This booklet Is For

This e-book ambitions scholars, academics, researchers, engineers, analysts, newshounds, hobbyists, and all information lovers who're drawn to examining and visualizing real-world datasets. while you're new to programming and knowledge research, this booklet is strictly for you. in case you are already conversant in one other language or research software program, additionally, you will relish this advent to the Python facts research platform. ultimately, there are extra technical issues for complex readers. No earlier adventure is needed; this publication includes every thing you want to know.

What you'll Learn

  • Install Anaconda and code in Python within the Jupyter Notebook
  • Load and discover datasets interactively
  • Perform complicated info manipulations successfully with pandas
  • Create enticing information visualizations with matplotlib and seaborn
  • Simulate mathematical types with NumPy
  • Visualize and approach photos interactively within the Jupyter workstation with scikit-image
  • Accelerate your code with Numba, Cython, and IPython.parallel
  • Extend the pc interface with HTML, JavaScript, and D3

In Detail

Python is a common and strong programming language. IPython deals a handy interface to the language and its research libraries, whereas the Jupyter computing device is a wealthy atmosphere well-adapted to information technology and visualization. jointly, those open resource instruments are commonplace via newbies and specialists world wide, and in a massive number of fields and endeavors.

This booklet is a beginner-friendly advisor to the Python information research platform. After an creation to the Python language, IPython, and the Jupyter computing device, you are going to how you can examine and visualize facts on real-world examples, the best way to create graphical consumer interfaces for photo processing within the workstation, and the way to accomplish quickly numerical computations for clinical simulations with NumPy, Numba, Cython, and ipyparallel. by means of the top of this ebook, it is possible for you to to accomplish in-depth analyses of all kinds of data.

Style and approach

This is a hands-on beginner-friendly consultant to research and visualize facts on real-world examples with Python and the Jupyter Notebook.

Show description

Read or Download Learning IPython for Interactive Computing and Data Visualization - Second Edition PDF

Best python books

Learning Python: Powerful Object-Oriented Programming (4th Edition)

Google and YouTube use Python simply because it's hugely adaptable, effortless to keep up, and makes it possible for swift improvement. which will write top of the range, effective code that's simply built-in with different languages and instruments, this hands-on ebook may also help you be efficient with Python quick -- no matter if you're new to programming or simply new to Python.

Real Python: An Introduction to Python Through Practical Examples

An ebook to educate programming via hands-on, fascinating examples which are invaluable and fun!

Python is a smart programming language. It's unfastened, robust, more uncomplicated to learn than so much languages, and has extensions to be had to do nearly whatever you may think automatically.

But how do you certainly use it? There are a whole bunch assets in the market for studying Python, yet none of them are very useful or attention-grabbing - in its place, they move over each one thought one after the other, by no means tying something jointly, yet spending lots of time misplaced in technical language, discussing the twenty other ways to complete each one uncomplicated activity. ..

I are looking to write an ebook that at last offers a concise creation to every thing you may really are looking to do with Python.

We'll begin with a short yet thorough assessment of the entire fundamentals, so that you don't even desire any previous adventure with programming. however the majority of the e-book should be spent increase instance code to unravel attention-grabbing real-world problems.

Python is amazing for automating repetitive projects that would another way take you hours - for example, quick amassing info from the net, or renaming enormous quantities of records. the various issues that I'm making plans to cover:

Collecting information from webpages (web scraping)
Interacting with PDF records - analyzing facts, growing PDFs, editing pages, including passwords. ..
Interacting with Excel records (less performance in OS X)
Calling different open air courses from inside Python
Files - read/write/modify, unzip, rename, circulation, etc.
Basic video game development
Interacting with SQL databases (internal and ODBC connections)
GUI (Graphical consumer Interface) layout - developing easy point-and-click courses that any one can use
Any different issues that you just, my backers, are so much in!
Update: by means of renowned call for, I'll be including internet program development

All similar path fabrics downloadable at: http://www. psychotix. com/share/Real_Python. zip

Python Algorithms: Mastering Basic Algorithms in the Python Language

Python Algorithms explains the Python method of set of rules research and layout.

Written by way of Magnus Lie Hetland, writer of starting Python, this publication is sharply considering classical algorithms, however it additionally offers an exceptional realizing of primary algorithmic problem-solving thoughts.

The publication bargains with one of the most very important and demanding components of programming and machine technological know-how, yet in a hugely pedagogic and readable manner.

The booklet covers either algorithmic concept and programming perform, demonstrating how thought is mirrored in genuine Python programs.

Well-known algorithms and information constructions which are equipped into the Python language are defined, and the person is proven the way to enforce and evaluation others himself.

Testing Python: Applying Unit Testing, TDD, BDD and Acceptance Testing

Basic trying out methodologies utilized to the preferred Python language

Testing Python; using Unit checking out, TDD, BDD and reputation checking out is the main finished publication on hand on checking out for one of many most sensible software program programming languages on this planet. Python is a usual selection for brand new and skilled builders, and this hands-on source is a miles wanted advisor to enterprise-level trying out improvement methodologies. The e-book will exhibit you why Unit checking out and TDD may end up in purifier, extra versatile programs.

Unit trying out and Test-Driven improvement (TDD) are more and more must-have abilities for software program builders, it doesn't matter what language they paintings in. In firm settings, it's serious for builders to make sure they constantly have operating code, and that's what makes checking out methodologies so beautiful. This publication will educate you the main general trying out innovations and should introduce to you to nonetheless others, masking functionality trying out, non-stop checking out, and more.

Learn Unit trying out and TDD—important improvement methodologies that lie on the middle of Agile development
Enhance your skill to paintings with Python to enhance robust, versatile purposes with fresh code
Draw at the services of writer David Sale, a number one united kingdom developer and tech commentator
Get prior to the group through learning the underappreciated international of Python testing
Knowledge of software program checking out in Python may perhaps set you except Python builders utilizing superseded methodologies. Python is a ordinary healthy for TDD and trying out Python is a must-read textual content for a person who desires to increase services in Python programming.

Extra resources for Learning IPython for Interactive Computing and Data Visualization - Second Edition

Example text

After the command, as shown in the following example: In [14]: %history? The %history magic command lets you display and manipulate your command history in IPython. head -n5 {files[0]} %lsmagic %history? [ 42 ] Chapter 1 Let's also mention the %dhist magic command that shows you a history of all visited directories. Another useful magic command is %paste, which lets you copy-paste Python code from anywhere into the IPython console (it is not available in the Notebook, where you can copy-paste as usual).

Keyboard shortcuts available in both modes Here are a few keyboard shortcuts that are always available when a cell is selected: • Ctrl + Enter: run the cell • Shift + Enter: run the cell and select the cell below • Alt + Enter: run the cell and insert a new cell below • Ctrl + S: save the notebook Keyboard shortcuts available in the edit mode In the edit mode, you can type code as usual, and you have access to the following keyboard shortcuts: • Esc: switch to command mode • Ctrl + Shift + -: split the cell [ 19 ] Getting Started with IPython Keyboard shortcuts available in the command mode In the command mode, keystrokes are bound to cell operations.

Once a function is defined, it can be called like this: In [24]: is_even(3) Out[24]: False In [25]: is_even(4) Out[25]: True Here, 3 and 4 are successively passed as arguments to the function. Positional and keyword arguments A Python function can accept an arbitrary number of arguments, called positional arguments. It can also accept optional named arguments, called keyword arguments. Here is an example: In [26]: def remainder(number, divisor=2): return number % divisor The second argument of this function, divisor, is optional.

Download PDF sample

Rated 4.17 of 5 – based on 47 votes