Home | Amazing | Today | Tags | Publishers | Years | Account | Search 
Learn Python Programming: The no-nonsense, beginner's guide to programming, data science, and web development with Python 3.7, 2nd Edition

Buy

Learn the fundamentals of Python (3.7) and how to apply it to data science, programming, and web development. Fully updated to include hands-on tutorials and projects.

Key Features

  • Learn the fundamentals of Python programming with interactive projects
  • Apply Python to data science with tools such as IPython and Jupyter
  • Utilize Python for web development and build a real-world app using Django

Book Description

Learn Python Programming is a quick, thorough, and practical introduction to Python - an extremely flexible and powerful programming language that can be applied to many disciplines.

Unlike other books, it doesn't bore you with elaborate explanations of the basics but gets you up-and-running, using the language. You will begin by learning the fundamentals of Python so that you have a rock-solid foundation to build upon.

You will explore the foundations of Python programming and learn how Python can be manipulated to achieve results. Explore different programming paradigms and find the best approach to a situation; understand how to carry out performance optimization and effective debugging; control the flow of a program; and utilize an interchange format to exchange data. You'll also walk through cryptographic services in Python and understand secure tokens.

Learn Python Programming will give you a thorough understanding of the Python language. You'll learn how to write programs, build websites, and work with data by harnessing Python's renowned data science libraries. Filled with real-world examples and projects, the book covers various types of applications, and concludes by building real-world projects based on the concepts you have learned.

What you will learn

  • Get Python up and running on Windows, Mac, and Linux
  • Explore fundamental concepts of coding using data structures and control flow
  • Write elegant, reusable, and efficient code in any situation
  • Understand when to use the functional or OOP approach
  • Cover the basics of security and concurrent/asynchronous programming
  • Create bulletproof, reliable software by writing tests
  • Build a simple website in Django
  • Fetch, clean, and manipulate data

Who this book is for

Learn Python Programming is for individuals with relatively little experience in coding or Python. It's also ideal for aspiring programmers who need to write scripts or programs to accomplish tasks. The book shows you how to create a full-fledged application.

Table of Contents

  1. A Gentle Introduction to Python
  2. Built-in Data Types
  3. Iterating and Making Decisions
  4. Functions, the Building Blocks of Code
  5. Saving Time and Memory
  6. OOP, Decorators, and Iterators
  7. Files and Data Persistence
  8. Testing, Profiling, and Dealing with Exceptions
  9. Cryptography and tokens
  10. Concurrent Execution
  11. Debugging and troubleshooting
  12. GUIs and Scripts
  13. Data Science
  14. Web Development
(HTML tags aren't allowed.)

Introduction to Python for Science and Engineering (Series in Computational Physics)
Introduction to Python for Science and Engineering (Series in Computational Physics)

Series in Computational Physics
Steven A. Gottlieb and Rubin H. Landau, Series Editors

Introduction to Python for Science and Engineering

This guide offers a quick and incisive introduction to Python programming for anyone. The author has carefully developed a concise...

Mining the Social Web: Data Mining Facebook, Twitter, LinkedIn, Instagram, GitHub, and More
Mining the Social Web: Data Mining Facebook, Twitter, LinkedIn, Instagram, GitHub, and More

Mine the rich data tucked away in popular social websites such as Twitter, Facebook, LinkedIn, and Instagram. With the third edition of this popular guide, data scientists, analysts, and programmers will learn how to glean insights from social media—including who’s connecting with whom, what they’re...

Learn TensorFlow 2.0: Implement Machine Learning and Deep Learning Models with Python
Learn TensorFlow 2.0: Implement Machine Learning and Deep Learning Models with Python
Learn how to use TensorFlow 2.0 to build machine learning and deep learning models with complete examples. 

The book begins with introducing TensorFlow 2.0 framework and the major changes from its last release. Next, it focuses on building Supervised Machine Learning models using TensorFlow 2.0.
...

Circuit Analysis for Complete Idiots
Circuit Analysis for Complete Idiots
In today’s world, there’s an electronic gadget for everything and inside these gadgets are circuits, little components wired together to perform some meaningful function. Have you wondered how a led display sign works or how a calculator works or toy cars work? How is it possible?? All because of electrical circuits. These tiny...
Python Projects for Beginners: A Ten-Week Bootcamp Approach to Python Programming
Python Projects for Beginners: A Ten-Week Bootcamp Approach to Python Programming

Immerse yourself in learning Python and introductory data analytics with this book’s project-based approach. Through the structure of a ten-week coding bootcamp course, you’ll learn key concepts and gain hands-on experience through weekly projects.

Each chapter in this book is presented as a full week of...

Python for Finance: Mastering Data-Driven Finance
Python for Finance: Mastering Data-Driven Finance

The financial industry has recently adopted Python at a tremendous rate, with some of the largest investment banks and hedge funds using it to build core trading and risk management systems. Updated for Python 3, the second edition of this hands on book helps you get started with the language, guiding developers and...

©2020 LearnIT (support@pdfchm.net) - Privacy Policy