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Project 4 Third Edition Teacher Book Download: Everything You Need to Know About the Course

  • kaixosininmoheads
  • Aug 20, 2023
  • 3 min read


This expanded third edition of The New Teacher Book grew out of Rethinking Schools workshops with early career teachers. It offers practical guidance on how to flourish in schools and classrooms and connect in meaningful ways with students and families from all cultures and backgrounds.




project 4 third edition teacher book download



When the editors of Rethinking Schools first conceived of this book, we thought back to our days as new teachers. We hoped to create the book we needed in those sometimes exhilarating, sometimes lonely, often hard first days of our teaching careers. This book is meant as a conversation among colleagues. We hope it is a conversation that helps you keep your vision and values intact as you struggle in institutions that may or may not be those citadels of idealism where you imagined yourself teaching.


We wrote this book because we want you to hold on to those impulses that brought you to teaching: a deep caring for students, the opportunity to be the one who sparks student growth and change, as well as the desire to be involved in work that matters. We need teachers who want to work in a place where human connections matter more than profit.


You can download free lesson plans, handbooks, vocabulary lists and sample papers for all of our qualifications. We also have speaking test example videos that you can show your students to familiarise them with the tests.


After that, the next project covers data visualization with matplotlib, random walks, rolling dice, and a little bit of statistical analysis, creating graphs and charts with the pygal package. You learn how to download data in a variety of formats, import it into Python, and visualize the results, as well as how to interact with web APIs, retrieving and visualizing data from GitHub and HackerNews.


The third project walks you through the creation of a complete web application using Django to set up a Learning Log to track what users have been studying. It covers how to install Django, set up a project, design your models, create an admin interface, set up user accounts, manage access controls on a per-user basis, style your entire app with Bootstrap, and then finally deploy it to Heroku.


This book is well written and nicely organized. It presents a large number of useful exercises as well as three challenging and entertaining projects that make up the second half of the book.(Reviewed by David Schlesinger.)


Chock full of illustrations, examples, asides, and other tidbits, Head-First Python is consistently engaging and easy to read. This book starts its tour of Python by diving into lists and explaining how to use and manipulate them. It then goes into modules, errors, and file handling. Each topic is organized around a unifying project: building a dynamic website for a school athletic coach using Python through a Common Gateway Interface (CGI).


Previous versions were a little light on exercises, but the latest edition has largely corrected this shortcoming.The book contains four reasonably deep projects, presented as case studies, but overall, it has fewer directed application exercises compared to many other books.


Building on this foundation, the Getting it Done section moves into the more data-centric area of Python.Note that this section, which takes up approximately a third of the book, will be most applicable to scientists, engineers, and data scientists.If that is you, enjoy.If not, feel free to skip ahead, picking out any pertinent sections. But be sure to catch the last chapter of the section because it will teach you how to deploy software using pip, conda, virtual machines, and Docker containers.


The final section, Getting it Out There, focuses on effectively communicating with the consumers of your code, yourself included.It covers the topics of documentation, markup languages (primarily LaTeX), code collaboration, and software licenses.The section, and book, concludes with a long list of scientific Python projects organized by topic. 2ff7e9595c


 
 
 

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