Development > Web Development
27.5 h
£44.99 £12.99
Python Programming: From Zero to Hero with 30+ Projects
What you will learn:
- Master Python fundamentals: data types, variables, strings, and user input.
- Build robust programs using conditional statements (if, elif, else).
- Gain hands-on experience with coding exercises and real-world projects.
- Work confidently with various data structures: numbers, strings, lists, tuples.
- Effectively manipulate strings and create dynamic text outputs.
- Control program flow using user input and conditional logic.
- Develop professional-level Python skills with expert guidance.
- Learn to build web applications with Django and Flask frameworks.
Description
Unlock Your Coding Potential: Master Python Programming - Beginner to Advanced
Embark on a transformative journey into the world of Python programming! This comprehensive course is meticulously designed to take you from absolute beginner to confident coder. Whether you're aiming for a career in software development, data science, or simply want to add a valuable skill to your repertoire, this course is your perfect launchpad.
Dive into over 30 hours of expertly crafted video tutorials, hands-on coding exercises, and real-world projects. You'll gain a deep understanding of Python's core concepts and build a robust portfolio to showcase your abilities. Our curriculum is structured for progressive learning, ensuring you grasp each concept before moving to the next. Our engaging teaching style keeps you motivated and fosters a strong understanding of Python's versatility.
What Awaits You:
- 90+ engaging video lectures covering all essential Python concepts.
- 30+ practical coding challenges to build your confidence and skills.
- Regular quizzes and assignments to assess your progress and identify areas for improvement.
- In-depth exploration of essential topics like data structures, control flow, functions, and more.
- Introduction to Python's libraries for web development (Django and Flask) opening doors to exciting career paths.
- Comprehensive solutions to every challenge, ensuring you understand the 'why' behind the 'how'.
By the end of this course, you will be able to:
- Write efficient and readable Python code.
- Debug and troubleshoot common programming errors with confidence.
- Build functional web applications using Python frameworks.
- Apply your Python skills to solve practical problems.
- Develop a strong foundation for advanced Python programming.
Enroll today and begin your journey to becoming a proficient Python programmer! Don't just learn Python—master it.
Curriculum
ENVIRONMENT SETUP AND DEVELOPMENT TOOLS
This section starts with an introduction to setting up a professional Python environment. You'll learn how to set up your first environment, install professional Python IDEs like PyCharm, and configure a data science environment using Anaconda. Lectures cover essential tools for efficient Python development, including practical setup guides and troubleshooting tips.
INTRO TO PYTHON DATA TYPES AND NUMBER OPERATIONS
This section introduces Python's core architecture and object system, exploring core data types such as dictionaries, tuples, and files. You'll delve into integer and floating-point operations, advanced numeric types, and arithmetic operations. The section also covers operator precedence and mathematical modules, accompanied by knowledge checks to reinforce learning.
GETTING STARTED WITH PYTHON DEVELOPMENT TOOLS AND SOURCE CONTROL
This section focuses on practical aspects of Python development. You'll learn to create your first project, troubleshoot PyCharm setup, and master version control with Git and GitHub. The curriculum covers cloning, managing repositories across different IDEs, and using GitHub Codespaces for cloud development. A hands-on exercise consolidates your understanding of the tools.
INTRO TO PYTHON BASICS PRINTING AND COMMENTING
This section provides a deep dive into the Python print function, covering string basics, best practices, error handling, and debugging techniques. You'll learn multiple line printing, explore the power of Python comments and PyCharm productivity tools, and practice writing clean and efficient code with comments and print statements. Quizzes assess understanding of these fundamental concepts.
CORE DATA TYPES AND VARIABLES
This section offers a thorough exploration of Python's core data types and variables. You will learn about writing clean code, type function, float numbers, variable declaration, manipulation, and operations. Practical exercises reinforce the concepts, teaching about memory storage, variable naming conventions, and error prevention.
INTRO TO PYTHON STRINGS AND TEXT MANIPULATION
This section delves into Python string operations, covering string indexing, slicing, formatting, and case manipulation. You'll learn about string methods, text transformation, and practical applications like creating word games. Advanced topics like string immutability, Unicode, regular expressions, and pattern matching are also covered with real-world examples and assessments.
INTRO TO PYTHON USER INPUT AND TYPE CONVERSION
This section explores user input in Python, focusing on the input function, error handling with try-except blocks, and implementing the datetime module. You'll learn to build interactive programs, handle multiple inputs, and perform type conversions between strings and integers, all within practical applications.
INTRO TO LISTS, ITERATIONS AND CONTROL FLOWS
This comprehensive section covers Python lists, iterations, and control flows. You'll learn about list properties, operations, nested lists, iterations using for and while loops, list comprehensions, and generator comprehensions. The section includes practical examples like shopping list management, inventory management, and network device data management, concluding with a knowledge assessment.
INTRO TO PYTHON DICTIONARY OPERATIONS AND METHODS
This section focuses on Python dictionaries, covering creation, basic operations, iteration methods, nested dictionaries, error handling, sorting, and advanced techniques. Lectures use practical examples for data management, and cover methods like get, items, keys, values, update, popitem, setdefault, fromkeys, and clear, concluding with a comprehensive review.
INTRO TO PYTHON TUPLE OPERATIONS AND CORE CONCEPTS
This section introduces Python tuples, covering creation, element access, methods, and practical applications. You'll learn how to use tuples in systems like student registration and enrollment analysis. The section emphasizes the use of tuples for managing complex data structures.
INTRO TO PYTHON BOOLEAN LOGIC AND COMPARISONS
This section explores Python's Boolean logic and comparisons. You'll learn about Boolean data types, operations, comparison operators, conditional statements, and practical applications like building authentication and verification systems. The section also emphasizes best practices for code readability and maintainability.
INTRO TO PYTHON CLEAN CODE AND PEP 8 STYLE STANDARDS
This section focuses on writing clean and readable Python code following PEP 8 style guidelines. You'll learn about naming conventions, code refactoring, formatting, and documentation standards. The section helps you write professional-quality Python code that is easy to maintain and collaborate on.
INTRO TO PYTHON FUNCTIONS, CONDITIONALS AND CONTROL FLOW
This section covers Python functions, conditionals, and control flow. You'll learn about function definitions, parameters, return values, IF, ELIF, and ELSE statements, logical operators, and iteration techniques. Practical examples include server management tasks and log analysis, reinforcing the concepts with hands-on exercises.
INTRO TO PYTHON NUMBER OPERATIONS
This section delves into Python's number operations, covering arithmetic, assignment, comparison, and logical operators. You'll learn about numeric data types, user input processing, and practical applications such as temperature conversion, financial planning, and various calculation examples, with emphasis on precision and rounding techniques.
INTRO TO PYTHON SPECIAL OPERATIONS WITH BASIC DATA TYPES
This section explores exponentiation and modulo operators. You'll learn their applications in various scenarios, including cubic volume calculation, message decoding, and financial modeling. The section culminates in a project focusing on startup cost, revenue, and break-even analysis.
INTRO TO PYTHON COMPARISON OPERATORS
This section offers a detailed exploration of Python comparison operators. You'll delve into numeric comparisons, comparison chaining, short-circuit evaluation, and the practical implementation of input validation systems.
INTRO TO PYTHON FILES AND FILE OPERATIONS
This section covers file operations in Python, including opening, reading, writing, and managing files. You'll learn about file objects, modes, context managers, numerical data processing, error handling, and integration with OS modules. Practical examples focus on file management, data processing, and report generation, enhancing your skills in data handling.
Coding Exercises: Basic Data Types
This section contains multiple coding exercises focusing on basic Python data types, variables, and string manipulation, providing practical experience in working with numbers and text.
Coding Exercises: Operations with Basic Data Types
This section contains exercises centered around applying operations to basic data types, allowing students to practice using fundamental operators and data manipulations.
Coding Exercises: Loops and Conditional Structures
This section consists of coding exercises focused on applying loops and conditional structures such as "if", "elif", and "else" statements to solve programming problems.
Coding Exercises: Functions, Lists and Loops
This section comprises coding exercises focusing on combining functions, lists, and loops for efficient data processing and program logic.
INTRO TO PYTHON STATEMENTS
This section provides a comprehensive overview of Python statements, program structure, flow control, and syntax. It aims to solidify your understanding of how Python statements work and interact to create functional programs.