Mastering Python Fundamentals Free Python Course Learning Material For Beginners
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Mastering Python Fundamentals - Free Python Course/Learning Material for Beginners
Many Python courses overwhelm beginners with technical gibberish and complicated code right from Day 1. This course uses the LEGO Code Method and breaks learning into simple, colourful building blocks — just like LEGO — so you learn faster, have more fun, and actually understand how Python works step by step. Google, Netflix, Spotify, NASA, and even the CIA use Python for their core systems. Start learning Python even if you've never written a line of code! What's Included? Interactive quizzes Fun guided projects Tons of example codes What You'll Learn: The building blocks of a Python Program The different data storage structures in Python Running conditional statements and loops in Python Building functions Handling errors in Python
Python 101: Python Basics for Beginners
Python Basics: A Practical Introduction to Python 3 Your Complete Python Curriculum — With Exercises, Interactive Quizzes, and Sample Projects. Hello and welcome to Python 101: A Practical Introduction to Python 3 for Beginners. Are you ready to learn Why so many professional and hobbyist developers are drawn to Python - and How you can begin using it on your own projects, too?! This book is targeted at beginners who either know a little programming but not the Python language and its ecosystem, as well as complete beginners. If you don’t have a Computer Science degree, don’t worry. I will guide you through the important computing concepts while teaching you the Python basics. --- What should you learn about Python in the beginning to get a strong foundation? With Python 101, you will NOT only cover the core concepts you really need to know, but you will also learn them in the most efficient order - with the help of a few quizzes, practical exercises and projects. You will know enough to be good with Python, pretty fast! Who Should Read This Book? If you are new to Python, you’ll get a practical, step-by-step roadmap on developing your foundational skills. You’ll be introduced to each concept and language feature in a logical order. Every step in this curriculum is explained and illustrated with short and clear code samples. My goal with this book is to educate you, not to impress or intimidate. If you are familiar with some basic programming concepts, you will get a clear and well-tested introduction to Python. This is a practical introduction to Python that jumps right into real-world examples If you have any prior experience with languages like VBA, PowerShell, R, Perl, C, C++, C#, Java or Swift, the numerous exercises within each chapter will fast-track your progress. If you’re a seasoned developer, you’ll get a Python 3 crash course that brings you up to speed with modern Python programming. Mix and match the chapters that interest you the most and use the interactive quizzes and review exercises to check your learning progress as you go along. If you’re a self-starter completely new to coding, you’ll get practical and motivating examples. You’ll begin by installing Python and setting up a coding environment on your computer from scratch, and then continue from there. We’ll get you coding right away so that you become competent and knowledgeable enough to solve real-world problems, fast. Develop a passion for programming by solving interesting problems with Python every day! If you’re looking to break into a coding or data-science career, you’ll pick up the practical foundations with this book. We won’t just dump a boat load of theoretical information on you so you can “sink or swim” — instead, you’ll learn from hands-on, practical examples one step at a time. Each concept is broken down for you so you’ll always know what you can do with it in practical terms. If you’re interested in teaching others “how to Python", this will be your guidebook. If you’re looking to stoke the coding flame in your coworkers, kids, or relatives — use our material to teach them. All the sequencing has been done for you so you’ll always know what to cover next and how to explain it.
Python Data Science Essentials
Author: Alberto Boschetti
language: en
Publisher: Packt Publishing Ltd
Release Date: 2016-10-28
Become an efficient data science practitioner by understanding Python's key concepts About This Book Quickly get familiar with data science using Python 3.5 Save time (and effort) with all the essential tools explained Create effective data science projects and avoid common pitfalls with the help of examples and hints dictated by experience Who This Book Is For If you are an aspiring data scientist and you have at least a working knowledge of data analysis and Python, this book will get you started in data science. Data analysts with experience of R or MATLAB will also find the book to be a comprehensive reference to enhance their data manipulation and machine learning skills. What You Will Learn Set up your data science toolbox using a Python scientific environment on Windows, Mac, and Linux Get data ready for your data science project Manipulate, fix, and explore data in order to solve data science problems Set up an experimental pipeline to test your data science hypotheses Choose the most effective and scalable learning algorithm for your data science tasks Optimize your machine learning models to get the best performance Explore and cluster graphs, taking advantage of interconnections and links in your data In Detail Fully expanded and upgraded, the second edition of Python Data Science Essentials takes you through all you need to know to suceed in data science using Python. Get modern insight into the core of Python data, including the latest versions of Jupyter notebooks, NumPy, pandas and scikit-learn. Look beyond the fundamentals with beautiful data visualizations with Seaborn and ggplot, web development with Bottle, and even the new frontiers of deep learning with Theano and TensorFlow. Dive into building your essential Python 3.5 data science toolbox, using a single-source approach that will allow to to work with Python 2.7 as well. Get to grips fast with data munging and preprocessing, and all the techniques you need to load, analyse, and process your data. Finally, get a complete overview of principal machine learning algorithms, graph analysis techniques, and all the visualization and deployment instruments that make it easier to present your results to an audience of both data science experts and business users. Style and approach The book is structured as a data science project. You will always benefit from clear code and simplified examples to help you understand the underlying mechanics and real-world datasets.