Learn to Code in Python 3: Programming beginner to advanced
PythonFREE COUPON

Learn to Code in Python 3: Programming beginner to advanced

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Description

  • LanguageContentPython BasicsInstalling Python on MacInstalling Python on WindowsStatementsVariablesThe Input FunctionExercise – Km to Miles Converter
  • Data TypesData Types: StringsExercise – Strings
  • Data Types: NumbersExercise – Numbers
  • Data Types: Lists and TuplesExercise – Lists and Tuples
  • Data Types: DictionariesExercise – Dictionaries
  • Data Types: BooleansExercise – BooleansConditionals, Loops, Functions and a bit more

What You'll Learn

  • Core Python Fundamentals: Master variables, data types, operators, conditional statements (if/else), and various looping constructs (for, while) to control program flow.
  • Advanced Data Structures: Proficiently use and manipulate Python’s built-in data structures: lists, tuples, dictionaries, and sets for efficient data handling.
  • Functions & Modularity: Learn to write reusable functions, manage scope, and organize code into modules and packages, adhering to Pythonic best practices.
  • Object-Oriented Programming (OOP): Understand classes, objects, inheritance, polymorphism, and encapsulation for designing robust, scalable software.
  • Error Handling & Debugging: Implement try-except blocks for graceful error management and master debugging techniques to efficiently troubleshoot your code.
  • File System Interaction: Beyond basic file I/O, explore advanced techniques for reading/writing various file formats and managing file paths.
  • Virtual Environments & pip: Utilize pip for package management and create isolated virtual environments to manage project dependencies effectively.
  • Version Control Basics (Git): Get introduced to Git fundamentals for tracking changes, managing repositories, and collaborative development – an indispensable modern skill.
  • Integrated Development Environments (IDEs): Gain proficiency with tools like VS Code or PyCharm, leveraging features for code completion, refactoring, and integrated debugging.
  • Database Integration: Learn to connect Python applications with relational databases (e.g., SQLite), performing CRUD operations and executing SQL queries.
  • Web Scraping Introduction: Discover techniques for extracting structured data from websites using libraries like Beautiful Soup, with an emphasis on ethical practices.
  • Automation Scripting: Develop practical scripts to autom

Requirements

  • Zero Coding Experience Needed: Absolutely no prior programming knowledge or technical background is required. We start from the ground up, making complex concepts accessible.
  • Computer & Internet Access: A desktop or laptop (Windows, macOS, or Linux) and a stable internet connection are essential for accessing materials and development tools.
  • Basic Computer Literacy: Familiarity with basic computer operations, such as file management and software installation, will be helpful.
  • Eagerness to Learn: The most vital prerequisite is a curious mind, a willingness to experiment with code, and persistence in tackling challenges.

Important Notes

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