Python: - The Bible- 3 Manuscripts in 1 book: Python Programming for Beginners - Python Programming for Intermediates - Python Programming for Advanced

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Learn Python Programming for Beginners: Best Step-by-Step Guide for Coding with Python, Great for Kids and Adults. Includes Practical Exercises on Data Analysis, Machine Learning and More.

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Python for Beginners: A Crash Course Guide to Learn Python in 1 Week

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PYTHON PROGRAMMING: A Beginner’s Guide To Learn Python From Zero

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PYTHON CODING: A Smart Guide to Coding Using Python Programming Principles to Master the Art of Coding

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Python for Beginners: 2 Books in 1: Coding for Beginners Using Python + Python Crash Course

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PYTHON CODING: The Quickest Way To Learn Coding With Python

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Python for Beginners: Comprehensive Guide to the Basics of Programming, Machine Learning, Data Science and Analysis with Python.

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CODING FOR BEGINNERS USING PYTHON: A HANDS-ON, PROJECT-BASED INTRODUCTION TO LEARN CODING WITH PYTHON

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The Ultimate Python Programming Guide from Beginner To Intermediate

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Python for Beginners: The dummies guide to learn Python Programming. A practical reference with exercises for newbie and advanced developers.

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Python Programming For Beginners: Learn the Basics of Python in 7 Days!

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Python for Beginners: The 1 Day Crash Course For Python Programming In The Real World

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Python Programming

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Python Guide: Clear Introduction to Python Programming and Machine Learning

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Python Computer Programming: Simple Step-By-Step Introduction to the Python Object-Oriented Programming. Quick Start Guide for beginners.

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PYTHON CODING AND PROGRAMMING: The Smartest Way to Learn Everything you Need to Know about Python

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Computer Programming: From Beginner to Badass—JavaScript, HTML, CSS, & SQL

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Python Programming for beginners: Learn Python in a step by step approach, Complete practical crash course to learn Python coding

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Linux

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Python For Data Science: The Ultimate Comprehensive Step-By-Step Guide To The Basics Of Python For Data Science

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Python Machine Learning: Complete and Clear Introduction to the Basics of Machine Learning with Python. Comprehensive Guide to Data Science and Analytics.

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Javascript: Ultimate Beginners Guide

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Machine Learning

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Introducing Python: Modern Computing in Simple Packages, 2nd Edition

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The Blueprint: 3 Books in 1: Python, Hacking & Advanced Hacking: The Blueprint: Everything You Need to Know for Python Programming and Hacking!

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Python Machine Learning for Beginners: All You Need to Know about Machine Learning with Python

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All About Coding

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Python for Data Science: Clear and Complete Guide to Data Science and Analysis with Python.

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Arduino Programming: The Ultimate Intermediate Guide to Learn Arduino Programming Step by Step

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Python Crash Course: The Complete Step-By-Step Guide On How to Come Up Easily With Your First Data Science Project From Scratch In Less Than 7 Days

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Clean Code: A Handbook of Agile Software Craftsmanship

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Computational Thinking

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Javascript: Ultimate Beginners Guide

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Once Upon an Algorithm: How Stories Explain Computing

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Learning SQL: Generate, Manipulate, and Retrieve Data, 3rd Edition

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Competing in the Age of AI: Strategy and Leadership When Algorithms and Networks Run the World

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Coding for Kids Ages 9-15: Simple HTML, CSS and JavaScript lessons to get you started with Programming from Scratch

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Play Nice: The Rise, Fall, and Future Of Blizzard Entertainment

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Blockchain For Dummies

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HTML & CSS QuickStart Guide: The Simplified Beginners Guide to Developing a Strong Coding Foundation, Building Responsive Websites, and Mastering the Fundamentals of Modern Web Design

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Advances in Financial Machine Learning

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Machine Learning

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Java Fundamentals

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How to Stay Smart in a Smart World: Why Human Intelligence Still Beats Algorithms

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LINUX FOR BEGINNERS: An easy and Comprehensive Guide to Learn Linux Operating System and Master Linux Command Line

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C# Coding Mastery: Unlocking C# for Beginners and Beyond, A Step-By-Step Journey to Expertise in C# and Beyond - Python, Java, SQL, and More

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GROKKING ALGORITHMS: A Comprehensive Beginner's Guide, Tips and Tricks, Simple and Effective methods and Advanced methods to learn and use Grokking Algorithms and Data structures for Programming

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JavaScript: The Definitive Guide: Master the World's Most-Used Programming Language, 7th Edition

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Machine Learning in Python: Hands on Machine Learning with Python Tools, Concepts and Techniques

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Information Architecture: For the Web and Beyond

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SQL QuickStart Guide: The Simplified Beginner's Guide to Managing, Analyzing, and Manipulating Data With SQL

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Animation Handbook

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Linux

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Python: Python Basics for Beginners

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How to Make a Video Game All By Yourself: 10 steps, just you and a computer

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Python ML: Clear Step-by-Step Guide to Ma-chine Learning with Python

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The Blueprint: 3 Books in 1: Python, Hacking & Advanced Hacking: The Blueprint: Everything You Need to Know for Python Programming and Hacking!

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Python Essentials For Dummies

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Web Development for beginners: Learn HTML/CSS/Javascript step by step with this Coding Guide, Programming Guide for beginners, Website development

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Skill Up: A Software Developer's Guide to Life and Career

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386 The Top 10 Books To Learn Python - Simple Programmer Podcast: Have you ever wondered what are the best books to learn Python? "Python is an interpreted, object-oriented, high-level programming language with dynamic semantics. Its high-level built in data structures, combined with dynamic typing and dynamic...

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Harnessing Python for Research: Scientific Applications of Python with Michael Kennedy: Still scrabbling with Excel? Consider Python language uses, says programmer and podcaster Michael Kennedy. A general programming language that is easy to use in multiple environments, Python programming is limitless and has numerous open source...

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Tools for Setting Up Python on a New Machine

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Measuring Your Python Learning Progress

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A Programmer's Guide to Computer Science with Dr. William Springer: Have you failed a job interview because you don't know computer science? William Springer has a PhD in computer science and his books takes you through what you would have learned while earning a four-year computer science degree! Both Scott and William believe in breaking down boundaries, and it starts with this show!

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Improving the Learning Experience on Real Python

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Learning Python Through Illustrated Stories

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The Pragmatic Programmers: with Andy Hunt & Dave Thomas

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#1 Data Science, Past, Present and Future: Hilary Mason talks about the past, present, and future of data science with Hugo. Hilary is the VP of Research at Cloudera Fast Forward, a machine intelligence research company, and the data scientist in residence at Accel. If you want to hear about wh...

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Exploring deep reinforcement learning: with Thomas Simonini of Hugging Face

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Ep. 4 - Wearing All The Hats (Kinsey Ann Durham): Self-taught dev Kinsey Ann Durham didn't stop at learning to code. We talk about what it was like to give her 1st tech talk, how to use your coding skills for social good, and how she handled someone telling her that she should be a secretary instead.

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Web development for beginners: featuring Jen Looper

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Episode 14: Web developer prejudice and legacy code

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Python Decorators and Writing for Real Python

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Create Web Applications Using Only Python With Anvil

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Starting Programming with Iris Classon: Scott sits down with new programmer Iris Classon. Iris has been coding for just one year and is now working full time as a .NET Developer. How did she get started and why so late? How should we as a community get more women and children involved in computers? What can we do to support new developers?

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Episode 161: Trapped as a QA engineer and trapped as a generalist

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#059 - 10 Python clean code tips drawn from code reviews

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Episode 19 (Python for Data Science - Python Files - Scripts and Modules)

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The Pragmatic Programmer celebrates 20 years with Dave Thomas and Andy Hunt: Straight from the programming trenches, The Pragmatic Programmer cuts through the increasing specialization and technicalities of modern software development to examine the core process—what do you do, as an individual and as a team, if you want to create software that’s easy to work with and good for your users. Now updated after 20 years, Scott talks to Andy and Dave about this classic book! This classic title is regularly featured on software development “Top Ten” lists, and is issued by many corporations to new hires.

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Ep. 5 - Speaking of Speaking (Marty Haught): Marty Haught, director of Ruby Central, has read and reviewed over 1,000 talk proposals. We talk about how to write a great talk proposal, how to make conferences a welcome and inclusive space for all developers, and how to prepare for your next big talk.

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63: Python Corporate Training - Matt Harrison: Matt Harrison is an author and instructor of Python and Data Science. This episode focuses on his training company, MetaSnake, and corporate training.

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About the Show

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Is functional programming the hipster programming paradigm?: Cassidy, Ceora, and Matt discuss functional programming and where it got its reputation as “the mustachioed hipster of programming paradigms.” Cassidy used to run a workshop teaching functional programming with JavaScript and currently works with Elixir, “a fully functional programming backend.”

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S3:E1 - Should you get a computer science degree? (Dave Thomas, Ashley Fong): What's the value of a computer science degree? Is it worth going back to school for? We talk to a computer science student and professor to help us answer these questions.

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146: Automation Tools for Web App and API Development and Maintenance - Michael Kennedy: Michael Kennedy joins the show this week to share some of the tools he uses during development and maintenance. We talk about tools used for semi-automated exploratory testing. We also talk about some of the other tools and techniques he uses to keep Talk Python Training, Talk Python, and Python Bytes all up and running smoothly.

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Software Engineering at Google with Titus Winters: Thanks to the amazing books, blogs, videos, quickstarts, frameworks, and other software-related resources, getting started as a software engineer is easier than ever.  Although you can get started in a day,

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Visualization and Interpretability:  joins us to discuss how data visualization can be used to help make machine learning more interpretable and explainable. Find out more about Enrico at . More from Enrico with co-host Moritz Stefaner on the  podcast!

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Run your microservices in no-fail mode: The home team sits down with Maxim Fateev, CEO and cofounder of Temporal Technologies, and Dominik Tornow, Principal Engineer at Temporal, to talk all things microservices. What are the tradeoffs in moving from monolith to microservices, and is the pendulum swinging back toward bigger, less complex architectures? Plus, why is state so hard to nail down?

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Advantages of Completing Small Python Projects