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This path is designed to empower you to innovate and excel in web development, equipping you with a versatile toolkit for the future.Dive into an exciting Python programming journey, starting with the basics and advancing to complex applications. Näytä lisää
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Flask
Django
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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 PythonEsikatselu
- Python Naming Rules for VariablesEsikatselu
- How to Work with Variables in PythonEsikatselu
- Data Types in PythonEsikatselu
- Challenge: Converting Kilometers to MilesEsikatselu
- Store Text with Strings in PythonEsikatselu
- String Indexing in PythonEsikatselu
- String Slicing in PythonEsikatselu
- Challenge: Retrieving Letters from StringEsikatselu
- String Concatenation in PythonEsikatselu
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 PythonEsikatselu
- Challenge: Working with Comparison OperatorsEsikatselu
- How to Combine Conditions in PythonEsikatselu
- Challenge: Working with Logical OperatorsEsikatselu
- Membership Operators and Type Comparisons in PythonEsikatselu
- How to Use if/else Expressions in PythonEsikatselu
- Challenge: Running a Grocery StoreEsikatselu
- Challenge: Creating Odd and Even LogicEsikatselu
- if/elif/else ExpressionsEsikatselu
- Challenge: Running Grocery Store ExtendedEsikatselu
- Challenge: Weather AdviserEsikatselu
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 ListsEsikatselu
- Common List Methods in PythonEsikatselu
- Challenge: Updating ListEsikatselu
- Nested Lists in PythonEsikatselu
- Challenge: Retrieving Information from Nested ListEsikatselu
- Python TuplesEsikatselu
- Common Tuple Methods in PythonEsikatselu
- Challenge: Updating TupleEsikatselu
- Nested Tuples in PythonEsikatselu
- Challenge: Retrieving Information from Nested TupleEsikatselu
- Python DictionariesEsikatselu
- Challenge: Creating DictionaryEsikatselu
- Common Dictionary Methods in PythonEsikatselu
- Challenge: Updating DictionaryEsikatselu
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 PythonEsikatselu
- Challenge: Working with the While LoopEsikatselu
- Explore the for Loop in PythonEsikatselu
- Challenge: Working with the For LoopEsikatselu
- Range Function in PythonEsikatselu
- Challenge: Using the Range FunctionEsikatselu
- How to Iterate Over Indexes in PythonEsikatselu
- Explore Nested Loops in PythonEsikatselu
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 PythonEsikatselu
- Challenge: Converting HeightsEsikatselu
- How to Create Functions in PythonEsikatselu
- Challenge: Writing First FunctionEsikatselu
- Use of if/else Statements in Python FunctionsEsikatselu
- Challenge: Identifying Positive ValuesEsikatselu
- Functions Without Return in PythonEsikatselu
- Challenge: Creating Logging FunctionEsikatselu
- Modifying Functions in PythonEsikatselu
- Challenge: Updating Logic of the FunctionEsikatselu
- Lambda Functions in PythonEsikatselu
- Challenge: Creating Lambda FunctionEsikatselu
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 TuplesEsikatselu
- Packing in Python: Grouping Multiple Values into a Single VariableEsikatselu
- Using Packing and Unpacking for Efficient Code in PythonEsikatselu
- Challenge: Mastering Dictionary Unpacking in PythonEsikatselu
- Challenge: The Champions LeagueEsikatselu
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 ArgumentsEsikatselu
- Using *args in Python: Handling Variable-Length Positional ArgumentsEsikatselu
- Challenge: Calculating the Average Mark with *argsEsikatselu
- Using **kwargs in Python: Flexible Keyword Arguments for Dynamic FunctionsEsikatselu
- Challenge: Mastering **kwargs in Python FunctionsEsikatselu
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 DataEsikatselu
- Local Variables in Python: Understanding Function-Level ScopeEsikatselu
- Challenge: Modifying a Global Variable in PythonEsikatselu
- Nested Functions in Python: Scope and AccessibilityEsikatselu
- Nonlocal Variables in Python: Working with Enclosed ScopesEsikatselu
- Python Closures: Retaining State in Nested FunctionsEsikatselu
- Challenge: Implementing a Threshold Checker with ClosuresEsikatselu
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 DecoratorsEsikatselu
- Python Decorator Syntax: Writing and Applying DecoratorsEsikatselu
- Challenge: Create Your First Python DecoratorEsikatselu
- Using Decorators with Parameters in PythonEsikatselu
- Chaining Multiple Decorators: Advanced Function ModificationsEsikatselu
- Challenge: Basic Smores RecipeEsikatselu
- Practical Examples of Python Decorator Usage in Real ApplicationsEsikatselu
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 ScalabilityEsikatselu
- Understanding Python ModulesEsikatselu
- Importing Modules in Python: Best Practices for Code ReusabilityEsikatselu
- Exploring Python Libraries: Built-in and Third-Party SolutionsEsikatselu
- Python Standard Library: Essential Modules for Everyday TasksEsikatselu
- Managing Python PackagesEsikatselu
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 CrashesEsikatselu
- Raising Exceptions in Python: Triggering and Managing ErrorsEsikatselu
- Executing Code After Exceptions: Handling Cleanup OperationsEsikatselu
- Using Assertions in Python: Debugging and Ensuring Code IntegrityEsikatselu
- Best Practices for Exception HandlingEsikatselu
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 PythonEsikatselu
- Reading and Writing Files: Handling Text and Data EfficientlyEsikatselu
- Advanced File Operations: Modifying and Managing File ContentEsikatselu
- Working with File Paths in PythonEsikatselu
- Using Context Managers for File Handling in PythonEsikatselu
- Creating Custom Context ManagersEsikatselu
- Handling Binary Files in PythonEsikatselu
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 TestsEsikatselu
- Using Assert Methods in Unittest: Validating Test ResultsEsikatselu
- SetUp and TearDown in Unittest: Managing Test EnvironmentsEsikatselu
- Mocking Techniques in Unittest: Simulating DependenciesEsikatselu
- Advanced Mocking in UnittestEsikatselu
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 StructuresEsikatselu
- Understanding Iterators in PythonEsikatselu
- Lazy Evaluation in Python: Optimizing Memory and PerformanceEsikatselu
- Introduction to Generators: Yielding Values for Efficient IterationEsikatselu
- Practical Applications of Generators: Real-World Use CasesEsikatselu
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
Tärkeintä on oppia eikä luovuttaa
Materiaali on hyvä, opittavaa riittää – kaikki parantuaksesi ja tärkeintä on oppia sitä, mitä haluat....
Matteo Comune
Kiitos heille opin paljon…
Kiitos heille opin paljon nopeammin, koska he auttavat ymmärtämään kaiken alusta alkaen. Tämä on paras sivusto, joka tukee IT-taustattomia...
Yuliana Cadavid
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Loistava kurssi aloittelijoille, joka testaa tietosi jokaisella oppitunnilla...
Elpunzon
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Nautin Codefinity-kokemuksesta Pythonin oppimiseen. Itseohjautuva oppimismenetelmä on erinomainen, sillä se mahtuu aikatauluuni...
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On mukava oppia Codefinityltä
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Hyvin suunniteltu täysin aloittelijoille, sisältää asteittaista edistystä ja saa minut tuntemaan oloni varmaksi....
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se on yksinkertaisesti täydellisesti selitetty
se on yksinkertaisesti täydellisesti selitetty! Tähän mennessä en ole kohdannut vaikeuksia, koska kaikki on niin hyvin järjestetty....
Ruslan Kravchuk
Tärkeintä on oppia eikä luovuttaa
Materiaali on hyvä, opittavaa riittää – kaikki parantuaksesi ja tärkeintä on oppia sitä, mitä haluat....
Matteo Comune
Kiitos heille opin paljon…
Kiitos heille opin paljon nopeammin, koska he auttavat ymmärtämään kaiken alusta alkaen. Tämä on paras sivusto, joka tukee IT-taustattomia...
Yuliana Cadavid
Loistava kurssi aloittelijoille
Loistava kurssi aloittelijoille, joka testaa tietosi jokaisella oppitunnilla...
Elpunzon
Nautin Codefinity-kokemuksestani…
Nautin Codefinity-kokemuksesta Pythonin oppimiseen. Itseohjautuva oppimismenetelmä on erinomainen, sillä se mahtuu aikatauluuni...
Alexandru Alexandru
On mukava oppia Codefinityltä
On mukava oppia Codefinityltä. Se on helppoa ja tarjoaa hyviä esimerkkejä opitusta...
jacob Templet
Easy to follow along with and provides…
Helppo seurata ja se tuo haastetta arkeeni. Haaste saa minut haluamaan oppia päivä toisensa jälkeen...
Elan
Codefinity on kattava oppimisväline…
Codefinity on kattava oppimisväline, joka auttaa kehittämään taitojasi ohjelmistoinsinöörinä tai datatieteilijänä. Harjoitukset ovat hauskoja ja erinomainen tapa hioa taitojasi...
Thibault
Ensimmäistä kertaa koodaamista opiskellen
Ensimmäistä kertaa koodaamista opiskellen ja onnistuneesti Codefinityn avulla – kiitos...
Adrien Morel
Hyvin suunniteltu täysin aloittelijoille
Hyvin suunniteltu täysin aloittelijoille, sisältää asteittaista edistystä ja saa minut tuntemaan oloni varmaksi....
_Gracy
se on yksinkertaisesti täydellisesti selitetty
se on yksinkertaisesti täydellisesti selitetty! Tähän mennessä en ole kohdannut vaikeuksia, koska kaikki on niin hyvin järjestetty....
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