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Try Codefinity TeamsWhat you will learn
- Grasp the fundamental concepts of Python, including variables, types, and conditional statements.
- Understand complex data types such as lists, tuples, and dictionaries and their associated methods.
- Get acquainted with loops for iteratively handling tasks and nested loops for more complex scenarios.
- Develop proficiency in defining, modifying, and utilizing functions as well as mastering lambda expressions.
- 170 chapters
- 20 hours
- 111 tasks
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Learning track content
Module 1 / Introduction to Python
Dive into the basics of Python, explore your workspace, and perform simple math operations. Learn how to write readable code using comments and handle both basic and advanced mathematical expressions while displaying your results.
Learn how to store and manage data in Python by working with numbers, text, and variables. Understand how to assign values, follow naming conventions, and explore different data types. Gain hands-on experience with string operations, indexing, slicing, and memory recall techniques to efficiently manipulate text in Python.
- How to Store Numbers in PythonForhåndsvisning
- Python Naming Rules for VariablesForhåndsvisning
- How to Work with Variables in PythonForhåndsvisning
- Data Types in PythonForhåndsvisning
- Challenge: Converting Kilometers to MilesForhåndsvisning
- Store Text with Strings in PythonForhåndsvisning
- String Indexing in PythonForhåndsvisning
- String Slicing in PythonForhåndsvisning
- Challenge: Retrieving Letters from StringForhåndsvisning
- String Concatenation in PythonForhåndsvisning
Learn how to use comparison and logical operators, work with conditional expressions, and apply membership and type comparisons. Build a strong foundation in writing programs that respond dynamically to different conditions using if/else and if/elif/else structures.
- Boolean Data Type in PythonForhåndsvisning
- Challenge: Working with Comparison OperatorsForhåndsvisning
- How to Combine Conditions in PythonForhåndsvisning
- Challenge: Working with Logical OperatorsForhåndsvisning
- Membership Operators and Type Comparisons in PythonForhåndsvisning
- How to Use if/else Expressions in PythonForhåndsvisning
- Challenge: Running a Grocery StoreForhåndsvisning
- Challenge: Creating Odd and Even LogicForhåndsvisning
- if/elif/else ExpressionsForhåndsvisning
- Challenge: Running Grocery Store ExtendedForhåndsvisning
- Challenge: Weather AdviserForhåndsvisning
Expand your understanding of data types by learning how to group multiple attributes within a single variable. Explore lists, tuples, and dictionaries to efficiently store and manage structured data, along with essential methods for manipulation and retrieval.
- Python ListsForhåndsvisning
- Common List Methods in PythonForhåndsvisning
- Challenge: Updating ListForhåndsvisning
- Nested Lists in PythonForhåndsvisning
- Challenge: Retrieving Information from Nested ListForhåndsvisning
- Python TuplesForhåndsvisning
- Common Tuple Methods in PythonForhåndsvisning
- Challenge: Updating TupleForhåndsvisning
- Nested Tuples in PythonForhåndsvisning
- Challenge: Retrieving Information from Nested TupleForhåndsvisning
- Python DictionariesForhåndsvisning
- Challenge: Creating DictionaryForhåndsvisning
- Common Dictionary Methods in PythonForhåndsvisning
- Challenge: Updating DictionaryForhåndsvisning
Master the art of writing loops in Python—essential constructs for iterating over lists, tuples, dictionaries, and other data structures. Learn to use while and for loops effectively, explore the range function, and work with nested loops to handle complex iteration patterns.
- Explore the while Loop in PythonForhåndsvisning
- Challenge: Working with the While LoopForhåndsvisning
- Explore the for Loop in PythonForhåndsvisning
- Challenge: Working with the For LoopForhåndsvisning
- Range Function in PythonForhåndsvisning
- Challenge: Using the Range FunctionForhåndsvisning
- How to Iterate Over Indexes in PythonForhåndsvisning
- Explore Nested Loops in PythonForhåndsvisning
Explore essential built-in functions in Python and take the next step by creating your own. Learn how to define functions, use conditional logic, modify existing functions, and work with lambda expressions to write efficient, reusable code.
- Built-in Functions in PythonForhåndsvisning
- Challenge: Converting HeightsForhåndsvisning
- How to Create Functions in PythonForhåndsvisning
- Challenge: Writing First FunctionForhåndsvisning
- Use of if/else Statements in Python FunctionsForhåndsvisning
- Challenge: Identifying Positive ValuesForhåndsvisning
- Functions Without Return in PythonForhåndsvisning
- Challenge: Creating Logging FunctionForhåndsvisning
- Modifying Functions in PythonForhåndsvisning
- Challenge: Updating Logic of the FunctionForhåndsvisning
- Lambda Functions in PythonForhåndsvisning
- Challenge: Creating Lambda FunctionForhåndsvisning
Module 2 / Intermediate Python Techniques
You'll find this topic enjoyable, and you'll learn how to pack and unpack values in a single assignment.
- Unpacking in Python: Extracting Values from Lists and TuplesForhåndsvisning
- Packing in Python: Grouping Multiple Values into a Single VariableForhåndsvisning
- Using Packing and Unpacking for Efficient Code in PythonForhåndsvisning
- Challenge: Mastering Dictionary Unpacking in PythonForhåndsvisning
- Challenge: The Champions LeagueForhåndsvisning
Explore the power of Python's function arguments, *args, **kwargs, and learn how to effectively use functions as arguments.
- Python Function Arguments: Overview of Parameters and ArgumentsForhåndsvisning
- Using *args in Python: Handling Variable-Length Positional ArgumentsForhåndsvisning
- Challenge: Calculating the Average Mark with *argsForhåndsvisning
- Using **kwargs in Python: Flexible Keyword Arguments for Dynamic FunctionsForhåndsvisning
- Challenge: Mastering **kwargs in Python FunctionsForhåndsvisning
Discover the higher-order functions and how functions can be passed as arguments to other functions in programming.
What is variable scope, and how did we manage without it before? This topic is essential for understanding the following subjects: Closures and Decorators. I assure you that this topic will be both enjoyable and practical. You will gain knowledge about local, nonlocal, and global variables.
- Global Variables in Python: Accessing and Modifying Global DataForhåndsvisning
- Local Variables in Python: Understanding Function-Level ScopeForhåndsvisning
- Challenge: Modifying a Global Variable in PythonForhåndsvisning
- Nested Functions in Python: Scope and AccessibilityForhåndsvisning
- Nonlocal Variables in Python: Working with Enclosed ScopesForhåndsvisning
- Python Closures: Retaining State in Nested FunctionsForhåndsvisning
- Challenge: Implementing a Threshold Checker with ClosuresForhåndsvisning
This section provides an in-depth exploration of Python decorators, a powerful feature that allows for the modification and enhancement of function behavior. Participants will learn how to write their own decorators, understand built-in decorators, and apply decorators in practical scenarios.
- Introduction to Python DecoratorsForhåndsvisning
- Python Decorator Syntax: Writing and Applying DecoratorsForhåndsvisning
- Challenge: Create Your First Python DecoratorForhåndsvisning
- Using Decorators with Parameters in PythonForhåndsvisning
- Chaining Multiple Decorators: Advanced Function ModificationsForhåndsvisning
- Challenge: Basic Smores RecipeForhåndsvisning
- Practical Examples of Python Decorator Usage in Real ApplicationsForhåndsvisning
Module 3 / Python Advanced Concepts
If you find yourself frustrated with import statements, the difference between modules and libraries, or managing your Python project structure, this section is your key to clarity.
- Python Project Structure: Organizing Code for ScalabilityForhåndsvisning
- Understanding Python ModulesForhåndsvisning
- Importing Modules in Python: Best Practices for Code ReusabilityForhåndsvisning
- Exploring Python Libraries: Built-in and Third-Party SolutionsForhåndsvisning
- Python Standard Library: Essential Modules for Everyday TasksForhåndsvisning
- Managing Python PackagesForhåndsvisning
Want to debug your code effectively and understand the power of leveraging various errors? This section demystifies error handling in Python, showcasing why it’s crucial for developers to master these skills for robust applications.
- Fundamentals of Error Handling in Python: Preventing Code CrashesForhåndsvisning
- Raising Exceptions in Python: Triggering and Managing ErrorsForhåndsvisning
- Executing Code After Exceptions: Handling Cleanup OperationsForhåndsvisning
- Using Assertions in Python: Debugging and Ensuring Code IntegrityForhåndsvisning
- Best Practices for Exception HandlingForhåndsvisning
Eager to automate file operations in your projects? This section delves into the essentials of file handling in Python, equipping you with the tools to read, write, and manage files efficiently for smoother, more powerful applications.
- Introduction to File Handling in PythonForhåndsvisning
- Reading and Writing Files: Handling Text and Data EfficientlyForhåndsvisning
- Advanced File Operations: Modifying and Managing File ContentForhåndsvisning
- Working with File Paths in PythonForhåndsvisning
- Using Context Managers for File Handling in PythonForhåndsvisning
- Creating Custom Context ManagersForhåndsvisning
- Handling Binary Files in PythonForhåndsvisning
You will learn the ins and outs of testing with Pytest and the fundamentals of Test-Driven Development (TDD). This section guides you through creating robust tests that enhance your code's reliability and streamline your development process.
Master automation testing with Unittest. Learn how to cover various test cases effectively using setup, teardown, and mocking.
- Introduction to Unittest in Python: Writing Structured Unit TestsForhåndsvisning
- Using Assert Methods in Unittest: Validating Test ResultsForhåndsvisning
- SetUp and TearDown in Unittest: Managing Test EnvironmentsForhåndsvisning
- Mocking Techniques in Unittest: Simulating DependenciesForhåndsvisning
- Advanced Mocking in UnittestForhåndsvisning
In Python, iterators and generators are key concepts that enable efficient and memory-friendly data processing. While iterators follow a specific protocol for accessing data sequentially, generators simplify iteration by producing values on demand with the yield keyword. This section explores these concepts and their practical applications, helping you master memory-efficient programming.
- Python Iterables: Understanding Sequences and Data StructuresForhåndsvisning
- Understanding Iterators in PythonForhåndsvisning
- Lazy Evaluation in Python: Optimizing Memory and PerformanceForhåndsvisning
- Introduction to Generators: Yielding Values for Efficient IterationForhåndsvisning
- Practical Applications of Generators: Real-World Use CasesForhåndsvisning
Module 4 / Flask Intensive Course: Web Development with Python
Get ready to launch our very first project! We're diving into the exciting world of important project concepts and components. Here, we'll make the magic happen by connecting with Flask, crafting our initial functional endpoints, and bringing our project to life with captivating templates and eye-catching static files.
Here, you can enhance your application by adding a database. You'll get hands-on experience working with SQLAlchemy as you create an SQLite database tailored for development mode.
Get ready to dive into the world of ORM queries for databases and discover how to seamlessly integrate them into your project, allowing you to perform the full range of CRUD operations.
Welcome to the world of web design! In this journey, you'll learn how to integrate Bootstrap styles into your project, instantly transforming it into an eye-catching masterpiece. Think of it as playing with digital Legos for programmers.
Module 5 / Django: Build Your First Website
This section serves as your entry point into the world of Django, providing a comprehensive introduction to the framework and the initial steps to kickstart your development journey.
In this section, we'll create a simple program that sends text from the server to the user's page.
In this section, we will explore models, migrations, and other useful things needed when working with databases.
Participants will have the opportunity to delve deeply into working with databases, utilizing Django ORM (Object-Relational Mapping), to ensure efficient data storage and processing.
In this course section, we will extensively explore the principles of working with templates in Django, a crucial component for developing effective and visually appealing web applications.
In this section of the course, we will delve into the essential aspects of implementing site functionality in Django. Participants will gain a comprehensive understanding of building dynamic and interactive features for their web applications.
Requirements
- A computer with a browser - all browsers are supported.
- Your enthusiasm to enhance your tech skills.
- Everything else needed to start learning and practicing is already included in this course.
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Ruslan Kravchuk
Det vigtigste er at lære og ikke give op
Materialet er godt, der er meget at lære for at blive bedre, og det vigtigste er at lære det, du ønsker....
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Takket være dem lærer jeg meget…
Takket være dem lærer jeg meget hurtigere, fordi de hjælper dig med at forstå alt fra bunden. Det er den bedste hjemmeside for folk uden IT-erfaring...
Yuliana Cadavid
fantastisk kursus for begyndere
fantastisk kursus for begyndere, som tester din viden i hver lektion...
Elpunzon
Jeg nyder min Codefinity-oplevelse…
Jeg nyder at lære Python med Codefinity. Den selvstyrede læringsmetode er fantastisk, fordi jeg kan tilpasse den min tidsplan...
Alexandru Alexandru
Det er rart at lære fra Codefinity
Det er rart at lære fra Codefinity. Det er nemt og har gode eksempler på, hvad jeg har lært her...
jacob Templet
Easy to follow along with and provides…
Let at følge med og giver daglige udfordringer. Udfordringen motiverer mig til at lære dag efter dag...
Elan
Codefinity er et omfattende læringsværktøj…
Codefinity er et omfattende læringsværktøj, der hjælper dig med at udvikle dine færdigheder som softwareingeniør eller datavidenskabsmand. Øvelserne er sjove og en god måde at finpudse dine evner på...
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det er simpelthen fuldstændig velforklaret
det er simpelthen fuldstændig velforklaret! Indtil videre har jeg ikke oplevet nogen problemer, fordi alt er så godt organiseret...
Ruslan Kravchuk
Det vigtigste er at lære og ikke give op
Materialet er godt, der er meget at lære for at blive bedre, og det vigtigste er at lære det, du ønsker....
Matteo Comune
Takket være dem lærer jeg meget…
Takket være dem lærer jeg meget hurtigere, fordi de hjælper dig med at forstå alt fra bunden. Det er den bedste hjemmeside for folk uden IT-erfaring...
Yuliana Cadavid
fantastisk kursus for begyndere
fantastisk kursus for begyndere, som tester din viden i hver lektion...
Elpunzon
Jeg nyder min Codefinity-oplevelse…
Jeg nyder at lære Python med Codefinity. Den selvstyrede læringsmetode er fantastisk, fordi jeg kan tilpasse den min tidsplan...
Alexandru Alexandru
Det er rart at lære fra Codefinity
Det er rart at lære fra Codefinity. Det er nemt og har gode eksempler på, hvad jeg har lært her...
jacob Templet
Easy to follow along with and provides…
Let at følge med og giver daglige udfordringer. Udfordringen motiverer mig til at lære dag efter dag...
Elan
Codefinity er et omfattende læringsværktøj…
Codefinity er et omfattende læringsværktøj, der hjælper dig med at udvikle dine færdigheder som softwareingeniør eller datavidenskabsmand. Øvelserne er sjove og en god måde at finpudse dine evner på...
Thibault
Første gang jeg lærer at kode
Første gang jeg lærer at kode og lykkes med det hos Codefinity - tak...
Adrien Morel
Godt designet til totale begyndere
Godt designet til totale begyndere, med trinvis progression, der giver mig selvtillid....
_Gracy
det er simpelthen fuldstændig velforklaret
det er simpelthen fuldstændig velforklaret! Indtil videre har jeg ikke oplevet nogen problemer, fordi alt er så godt organiseret...
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