Giter Site home page Giter Site logo

vinaychawla-ops / python_how_to Goto Github PK

View Code? Open in Web Editor NEW

This project forked from ycui1/python_how_to

0.0 0.0 0.0 107.73 MB

Shell 0.02% JavaScript 4.19% C++ 5.03% Python 84.39% C 1.02% Fortran 0.03% PowerShell 0.01% Forth 0.01% XSLT 0.01% CSS 1.04% HTML 0.40% Smarty 0.03% Batchfile 0.01% Jupyter Notebook 0.49% Cython 3.25% Roff 0.01% Less 0.01% Jinja 0.10%

python_how_to's Introduction

Code files for Python How-To by Manning

Have you ever asked yourself, “How do I do that in Python?” If so, you’ll love this practical collection of the most important Python techniques.

Python How-To includes over 60 detailed answers to questions like:

  • How do I join and split strings?
  • How do I access dictionary keys, values, and items?
  • How do I set and use the return value in function calls?
  • How do I process JSON data?
  • How do I create lazy attributes to improve performance?
  • How do I change variables in a different namespace?
  • …and much more

Python How-To walks you through the most important coding techniques in Python. Whether you’re doing data science, building web applications, or writing admin scripts, you’ll find answers to your “how-to” questions in this book. Author Yong Cui’s clear and practical writing is perfect for beginners and veterans alike, with insightful code snippets, interesting graphics, and challenging exercises. Along the way, you’ll learn how to take advantage of Python’s versatile tools and libraries.

about the technology

No matter where you are on your Python journey, you’re going to run into situations where you ask “How do I do that?” This book gives you concrete answers to the most common questions in areas like manipulating text, working with collections, managing objects and functions, file management, and so on.

about the book

Python How-To is full of techniques and best practices for writing readable and maintainable Python code, with careful cross-referencing that reveals how the same concept can be used in different contexts. Each chapter stands alone, so you can dip in whenever you need a practical solution to a common Python problem.

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.