Code With Kyle Consultancy

Code With Kyle Consultancy

Unlock The World Of Coding: Python Programming For Beginners

Dive into the dynamic realm of coding with our Python Programming Course for beginners. Whether you’re a curious novice or aspiring developer, this course offers a comprehensive introduction to Python, a versatile language used in web development, data science, and more. Discover the fundamentals of programming, learn to write efficient and readable code, and embark on hands-on projects to solidify your skills. With expert guidance and interactive learning, you’ll build a strong foundation to pursue a rewarding career in tech. Join us on this exciting journey and unleash your potential in the world of coding.

Python Programming Course Python Course

Course Details

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Bootcamp Duration

This course will last 12 weeks.

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How Often?

Two 90 minute evening sessions per week.

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Online Sessions?

Yes. We use zoom for our tutoring. All you need is a working laptop with internet connection.

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Online Class Size

Maximum 10 students per cohort.

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Tutoring

1-2-1 mentoring & coaching.

Zoom call recordings.

Weekly catchups.

Certificate of Achievement.

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Post Bootcamp

CV + Cover letter revamp.

Optimize Linkedin Profile.

On-going support.

What Topics Will You Cover?

Python Programming Course

In our Python Programming course you’ll embark on a hands-on exploration of one of the most versatile and in-demand programming languages in the tech industry. We’ll introduce you to the fundamentals of Python, diving into its syntax, data structures, and real-world applications. During this hour, you’ll get a glimpse of how Python is used in web development, data analysis, artificial intelligence, and more.

Python opens doors to a multitude of career opportunities. As a Python developer, you could venture into roles such as:

  • Software Engineer: Building applications and systems for diverse industries.
  • Data Analyst: Analysing data to extract valuable insights for businesses.
  • Machine Learning Engineer: Creating algorithms and models to enable AI capabilities.
  • Web Developer: Designing and implementing dynamic web applications.

In the UK, Python developers often start with salaries ranging from £30,000 to £40,000 annually. Experienced professionals, especially those specializing in data science or machine learning, can command salaries upwards of £70,000 or more.

The flexibility of Python extends beyond its syntax. Many Python developers enjoy the freedom of remote work, collaborating with teams globally or freelancing on projects. Whether you aspire to build the next big app, analyse complex datasets, or pioneer advancements in artificial intelligence, this Python Programming Starter Session sets the stage for an enriching and rewarding tech career journey.

Week 1: Introduction to Python.

  • Session 1:
    • Explanation of Python and its versatile applications in programming.
    • Installing Python and setting up the development environment for coding.
    • Learning basic syntax and writing the first Python program.
  • Session 2:
    • Introduction to Python’s interactive and scripting modes for varied tasks.
    • Overview of Python’s fundamental data types: integers, floats, strings, and booleans.
    • Understanding variables and their role in storing and manipulating data.

Week 2: Variables and Data Types.

  • Session 1:
    • Understanding the concept of variables and their significance in programming.
    • Overview of different data types such as integers, floats, strings, and booleans.
  • Session 2:
    • Variable assignment, reassignment, and using built-in functions to manipulate data.
    • Practice exercises to solidify understanding of variables and data types.

Week 3: Operators and Input/Output.

  • Session 1:
    • Overview of arithmetic, comparison, and logical operators in Python.
    • Using operators for calculations, comparisons, and controlling program flow.
  • Session 2:
    • Input and output operations: using input() for user input and print() for output.
    • Formatting output using string formatting techniques for clear presentation.

Week 4: Control Flow.

  • Session 1:
    • Introduction to control flow with if, elif, and else statements.
    • Understanding boolean expressions and their role in decision-making.
  • Session 2:
    • Implementation of loops: while loops and for loops for iterative tasks.
    • Applying control flow concepts to solve problems and navigate program logic.

Week 5: Functions.

  • Session 1:
    • Understanding the concept of functions and their advantages in code organization.
    • Defining functions with parameters and return values for reusable code blocks.
  • Session 2:
    • Calling functions, passing arguments, and exploring variable scope: global vs. local.
    • Practice exercises to create, use, and understand the scope of functions.

Week 6: Modules and Packages.

  • Session 1:
    • Explanation of modules and packages and their role in Python’s modular design.
    • Importing modules, accessing functions, and variables within them for code reuse.
  • Session 2:
    • Creating custom modules, organizing code, and importing them into other files.
    • Overview of commonly used Python libraries and packages for diverse functionalities.

Week 7: Strings and Text Processing.

  • Session 1:
    • Understanding strings as sequences of characters and their manipulation.
    • String methods for slicing, concatenation, formatting, and searching tasks.
  • Session 2:
    • Advanced text processing with regular expressions for pattern matching.
    • Practical exercises to work with strings, format text, and solve text processing challenges.

Week 8: Lists and Tuples.

  • Session 1:
    • Introduction to lists and tuples as ordered collections with different characteristics.
    • Creating, accessing, and manipulating elements in lists and tuples.
  • Session 2:
    • List and tuple methods: appending, removing, sorting for data manipulation.
    • Understanding the distinctions between lists (mutable) and tuples (immutable).

Week 9: Dictionaries.

  • Session 1:
    • Explanation of dictionaries as key-value pairs for efficient data storage.
    • Creating dictionaries, accessing values using keys, and understanding their structure.
  • Session 2:
    • Dictionary methods: adding, updating, deleting items, and iteration with loops.
    • Hands-on exercises to solve dictionary-related tasks, manage data, and iterate efficiently.

Week 10: File I/O.

  • Session 1:
    • Introduction to file input/output operations in Python for data handling.
    • Opening, reading, writing, and closing files using built-in functions.
  • Session 2:
    • Handling exceptions and errors related to file operations for robust code.
    • Working with different file formats like text files, CSV files, and JSON files.
    • Practical exercises to practice file I/O tasks, manage data, and handle file formats efficiently.

Week 11: Advanced Topics

  • Session 1:
    • Introduction to classes and object-oriented programming (OOP) in Python.
    • Defining classes, creating objects, and understanding inheritance and polymorphism.
  • Session 2:
    • Exploring Python libraries for data analysis (e.g., pandas, numpy) and visualization (e.g., matplotlib, seaborn).
    • Introduction to web scraping with BeautifulSoup or Scrapy.

Week 12: Project Week

  • Session 1:
    • Overview of the project: building a small application or solving a complex problem using the concepts learned.
    • Project planning: defining the project scope, requirements, and milestones.
  • Session 2:
    • Hands-on coding session: implementing the project with guidance.
    • Code review, debugging, and finalizing the project.
    • Presenting the project: sharing the solution and discussing the approach and challenges faced.