Coding Adventures With Python And Pycharm For Kids
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| Author | : Ghada Atef |
| Publisher | : Ghada Atef |
| Total Pages | : 102 |
| Release | : 2024-03-01 |
| Genre | : Computers |
| ISBN | : |
Spark Your Child's Creativity with Python Programming! Master PyCharm, the Fun and Easy Way to Code! This engaging guide empowers kids of all experience levels (age 8+) to learn Python programming using PyCharm, a powerful and user-friendly IDE. Kids will love: - Writing their first program and making cool things happen on the screen! - Learning fun coding concepts with colorful graphics and interactive exercises. - Feeling like a pro coder with their own Python projects. Parents will appreciate: - A step-by-step approach that gets kids coding in minutes. - A strong foundation in Python that sets them up for future success. - The development of problem-solving and critical thinking skills through coding. Get Started Today: - Install and set up PyCharm in minutes, ready to code! - Write your first Python program and say "Hello, world!" - Explore coding concepts with clear explanations and fun examples (variables, data types, loops, and more!). Build Your Skills: - Master variables, data types, and control the flow of your programs. - Create functions and modules to organize your code like a pro. - Debug your programs and fix any errors with ease. Become a Coding Pro: - Learn project management and keep your code organized. - Boost your productivity with keyboard shortcuts and plugins. - Collaborate with others and share your coding creations! By the end, your child will: - Confidently create their own Python projects - Have a strong foundation in Python programming - Develop problem-solving and critical thinking skills The perfect resource for: - Budding coders (age 8+) - Parents looking for engaging STEM activities - Educators teaching Python programming basics Unlock the world of coding for your child! Get your copy of "Coding Adventures with Python and PyCharm for Kids" today! Keywords: Python Programming for Kids, Learn Python, PyCharm IDE, Coding for Beginners, Kids Coding, STEM Education, Educational Games, Python for Kids Book
| Author | : Jason R. Briggs |
| Publisher | : No Starch Press |
| Total Pages | : 365 |
| Release | : 2022-11-15 |
| Genre | : Juvenile Nonfiction |
| ISBN | : 1718503032 |
The second edition of the best-selling Python for Kids—which brings you (and your parents) into the world of programming—has been completely updated to use the latest version of Python, along with tons of new projects! Python is a powerful programming language that’s easy to learn and fun to use! But books about programming in Python can be dull and that’s no fun for anyone. Python for Kids brings kids (and their parents) into the wonderful world of programming. Jason R. Briggs guides you through the basics, experimenting with unique (and hilarious) example programs featuring ravenous monsters, secret agents, thieving ravens, and more. New terms are defined; code is colored and explained; puzzles stretch the brain and strengthen understanding; and full-color illustrations keep you engaged throughout. By the end of the book, you’ll have programmed two games: a clone of the famous Pong, and “Mr. Stick Man Races for the Exit”—a platform game with jumps and animation. This second edition is revised and updated to reflect Python 3 programming practices. There are new puzzles to inspire you and two new appendices to guide you through Python’s built-in modules and troubleshooting your code. As you strike out on your programming adventure, you’ll learn how to: Use fundamental data structures like lists, tuples, and dictionaries Organize and reuse your code with functions and modules Use control structures like loops and conditional statements Draw shapes and patterns with Python’s turtle module Create games, animations, and other graphical wonders with tkinter Why should serious adults have all the fun? Python for Kids is your ticket into the amazing world of computer programming. Covers Python 3.x which runs on Windows, macOS, Linux, even Raspberry Pi
| Author | : Amit Saha |
| Publisher | : No Starch Press |
| Total Pages | : 265 |
| Release | : 2015-08-01 |
| Genre | : Computers |
| ISBN | : 1593277199 |
Doing Math with Python shows you how to use Python to delve into high school–level math topics like statistics, geometry, probability, and calculus. You’ll start with simple projects, like a factoring program and a quadratic-equation solver, and then create more complex projects once you’ve gotten the hang of things. Along the way, you’ll discover new ways to explore math and gain valuable programming skills that you’ll use throughout your study of math and computer science. Learn how to: –Describe your data with statistics, and visualize it with line graphs, bar charts, and scatter plots –Explore set theory and probability with programs for coin flips, dicing, and other games of chance –Solve algebra problems using Python’s symbolic math functions –Draw geometric shapes and explore fractals like the Barnsley fern, the Sierpinski triangle, and the Mandelbrot set –Write programs to find derivatives and integrate functions Creative coding challenges and applied examples help you see how you can put your new math and coding skills into practice. You’ll write an inequality solver, plot gravity’s effect on how far a bullet will travel, shuffle a deck of cards, estimate the area of a circle by throwing 100,000 "darts" at a board, explore the relationship between the Fibonacci sequence and the golden ratio, and more. Whether you’re interested in math but have yet to dip into programming or you’re a teacher looking to bring programming into the classroom, you’ll find that Python makes programming easy and practical. Let Python handle the grunt work while you focus on the math. Uses Python 3
| Author | : John Hunt |
| Publisher | : Springer Nature |
| Total Pages | : 638 |
| Release | : 2023-11-02 |
| Genre | : Computers |
| ISBN | : 3031403363 |
Advanced Guide to Python 3 Programming 2nd Edition delves deeply into a host of subjects that you need to understand if you are to develop sophisticated real-world programs. Each topic is preceded by an introduction followed by more advanced topics, along with numerous examples, that take you to an advanced level. This second edition has been significantly updated with two new sections on advanced Python language concepts and data analytics and machine learning. The GUI chapters have been rewritten to use the Tkinter UI library and a chapter on performance monitoring and profiling has been added. In total there are 18 new chapters, and all remaining chapters have been updated for the latest version of Python as well as for any of the libraries they use. There are eleven sections within the book covering Python Language Concepts, Computer Graphics (including GUIs), Games, Testing, File Input and Output, Databases Access, Logging, Concurrency and Parallelism, Reactive Programming, Networking and Data Analytics. Each section is self-contained and can either be read on its own or as part of the book as a whole. It is aimed at those who have learnt the basics of the Python 3 language but wish to delve deeper into Python’s eco system of additional libraries and modules.
| Author | : Wes McKinney |
| Publisher | : "O'Reilly Media, Inc." |
| Total Pages | : 553 |
| Release | : 2017-09-25 |
| Genre | : Computers |
| ISBN | : 1491957611 |
Get complete instructions for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.6, the second edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You’ll learn the latest versions of pandas, NumPy, IPython, and Jupyter in the process. Written by Wes McKinney, the creator of the Python pandas project, this book is a practical, modern introduction to data science tools in Python. It’s ideal for analysts new to Python and for Python programmers new to data science and scientific computing. Data files and related material are available on GitHub. Use the IPython shell and Jupyter notebook for exploratory computing Learn basic and advanced features in NumPy (Numerical Python) Get started with data analysis tools in the pandas library Use flexible tools to load, clean, transform, merge, and reshape data Create informative visualizations with matplotlib Apply the pandas groupby facility to slice, dice, and summarize datasets Analyze and manipulate regular and irregular time series data Learn how to solve real-world data analysis problems with thorough, detailed examples
| Author | : Robert Layton |
| Publisher | : Packt Publishing Ltd |
| Total Pages | : 344 |
| Release | : 2015-07-29 |
| Genre | : Computers |
| ISBN | : 1784391204 |
The next step in the information age is to gain insights from the deluge of data coming our way. Data mining provides a way of finding this insight, and Python is one of the most popular languages for data mining, providing both power and flexibility in analysis. This book teaches you to design and develop data mining applications using a variety of datasets, starting with basic classification and affinity analysis. Next, we move on to more complex data types including text, images, and graphs. In every chapter, we create models that solve real-world problems. There is a rich and varied set of libraries available in Python for data mining. This book covers a large number, including the IPython Notebook, pandas, scikit-learn and NLTK. Each chapter of this book introduces you to new algorithms and techniques. By the end of the book, you will gain a large insight into using Python for data mining, with a good knowledge and understanding of the algorithms and implementations.
| Author | : Holden Karau |
| Publisher | : "O'Reilly Media, Inc." |
| Total Pages | : 245 |
| Release | : 2022-11-29 |
| Genre | : Computers |
| ISBN | : 1098118766 |
Serverless computing enables developers to concentrate solely on their applications rather than worry about where they've been deployed. With the Ray general-purpose serverless implementation in Python, programmers and data scientists can hide servers, implement stateful applications, support direct communication between tasks, and access hardware accelerators. In this book, experienced software architecture practitioners Holden Karau and Boris Lublinsky show you how to scale existing Python applications and pipelines, allowing you to stay in the Python ecosystem while reducing single points of failure and manual scheduling. Scaling Python with Ray is ideal for software architects and developers eager to explore successful case studies and learn more about decision and measurement effectiveness. If your data processing or server application has grown beyond what a single computer can handle, this book is for you. You'll explore distributed processing (the pure Python implementation of serverless) and learn how to: Implement stateful applications with Ray actors Build workflow management in Ray Use Ray as a unified system for batch and stream processing Apply advanced data processing with Ray Build microservices with Ray Implement reliable Ray applications
| Author | : Alex Martelli |
| Publisher | : "O'Reilly Media, Inc." |
| Total Pages | : 734 |
| Release | : 2006-07-14 |
| Genre | : Computers |
| ISBN | : 0596100469 |
This volume offers Python programmers a straightforward guide to the important tools and modules of this open source language. It deals with the most frequently used parts of the standard library as well as the most popular and important third party extensions.
| Author | : Bas P. Harenslak |
| Publisher | : Simon and Schuster |
| Total Pages | : 478 |
| Release | : 2021-04-27 |
| Genre | : Computers |
| ISBN | : 1617296902 |
This book teaches you how to build and maintain effective data pipelines. Youll explore the most common usage patterns, including aggregating multiple data sources, connecting to and from data lakes, and cloud deployment. --
| Author | : Robert Smallshire |
| Publisher | : Packt Publishing Ltd |
| Total Pages | : 344 |
| Release | : 2017-06-21 |
| Genre | : Computers |
| ISBN | : 1788298667 |
Learn the Python skills and culture you need to become a productive member of any Python project. About This Book Taking a practical approach to studying Python A clear appreciation of the sequence-oriented parts of Python Emphasis on the way in which Python code is structured Learn how to produce bug-free code by using testing tools Who This Book Is For The Python Apprentice is for anyone who wants to start building, creating and contributing towards a Python project. No previous knowledge of Python is required, although at least some familiarity with programming in another language is helpful. What You Will Learn Learn the language of Python itself Get a start on the Python standard library Learn how to integrate 3rd party libraries Develop libraries on your own Become familiar with the basics of Python testing In Detail Experienced programmers want to know how to enhance their craft and we want to help them start as apprentices with Python. We know that before mastering Python you need to learn the culture and the tools to become a productive member of any Python project. Our goal with this book is to give you a practical and thorough introduction to Python programming, providing you with the insight and technical craftsmanship you need to be a productive member of any Python project. Python is a big language, and it's not our intention with this book to cover everything there is to know. We just want to make sure that you, as the developer, know the tools, basic idioms and of course the ins and outs of the language, the standard library and other modules to be able to jump into most projects. Style and approach We introduce topics gently and then revisit them on multiple occasions to add the depth required to support your progression as a Python developer. We've worked hard to structure the syllabus to avoid forward references. On only a few occasions do we require you to accept techniques on trust, before explaining them later; where we do, it's to deliberately establish good habits.
