Introduction to Python
This course will teach you the core skills of Python, a versatile language used in software development, data science, and more.
Course
118915 Learners Already enrolled4.7
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Beginner
Recommended experience60 chapters
Flexible schedule
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Learning outcomes
Modules
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Codefinity advantages
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Outcomes
Learning outcomes
Modules
Testimonials
Recommendations
Codefinity advantages
FAQs
What 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.
Skills you'll gain
Data Science
Data Analytics
Python Programming
Numpy
Pandas
Details to know
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Assessments40 assignments
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There are 6 modules in this course
Python is an interpreted high-level general-purpose programming language. Unlike HTML, CSS, and JavaScript, which are primarily used for web development, Python is versatile and can be used in various fields, including software development, data science, and back-end development. In this course, you'll explore the core aspects of Python, and by the end, you'll be crafting your own functions!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 PythonPreview
- Python Naming Rules for VariablesPreview
- How to Work with Variables in PythonPreview
- Data Types in PythonPreview
- Challenge: Converting Kilometers to MilesPreview
- Store Text with Strings in PythonPreview
- String Indexing in PythonPreview
- String Slicing in PythonPreview
- Challenge: Retrieving Letters from StringPreview
- String Concatenation in PythonPreview
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 PythonPreview
- Challenge: Working with Comparison OperatorsPreview
- How to Combine Conditions in PythonPreview
- Challenge: Working with Logical OperatorsPreview
- Membership Operators and Type Comparisons in PythonPreview
- How to Use if/else Expressions in PythonPreview
- Challenge: Running a Grocery StorePreview
- Challenge: Creating Odd and Even LogicPreview
- if/elif/else ExpressionsPreview
- Challenge: Running Grocery Store ExtendedPreview
- Challenge: Weather AdviserPreview
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 ListsPreview
- Common List Methods in PythonPreview
- Challenge: Updating ListPreview
- Nested Lists in PythonPreview
- Challenge: Retrieving Information from Nested ListPreview
- Python TuplesPreview
- Common Tuple Methods in PythonPreview
- Challenge: Updating TuplePreview
- Nested Tuples in PythonPreview
- Challenge: Retrieving Information from Nested TuplePreview
- Python DictionariesPreview
- Challenge: Creating DictionaryPreview
- Common Dictionary Methods in PythonPreview
- Challenge: Updating DictionaryPreview
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 PythonPreview
- Challenge: Working with the While LoopPreview
- Explore the for Loop in PythonPreview
- Challenge: Working with the For LoopPreview
- Range Function in PythonPreview
- Challenge: Using the Range FunctionPreview
- How to Iterate Over Indexes in PythonPreview
- Explore Nested Loops in PythonPreview
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 PythonPreview
- Challenge: Converting HeightsPreview
- How to Create Functions in PythonPreview
- Challenge: Writing First FunctionPreview
- Use of if/else Statements in Python FunctionsPreview
- Challenge: Identifying Positive ValuesPreview
- Functions Without Return in PythonPreview
- Challenge: Creating Logging FunctionPreview
- Modifying Functions in PythonPreview
- Challenge: Updating Logic of the FunctionPreview
- Lambda Functions in PythonPreview
- Challenge: Creating Lambda FunctionPreview
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Bill Wagner
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Stephanie Chan
As I went through the first course of the Python track, I liked the way the course was lay out (in easy and digestible modules) with little exercises at the end of each concept.
Daniel Chinea
I have gained a lot of practical and logical thinking skills, along with patience for myself and confidence in myself that I can learn programming.
Steve Bruening
The learning was progressive and made it easy to follow along and make progress. I could feel my skills increasing and building on each other as the course went along.
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4
Reviewed on May 4, 2025
Straight Forward. Simple Explanations and Im m ediate Feedback on code usage
Marcos Lanuza
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Reviewed on May 4, 2025
sigma
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Recommended if you're interested in learningPython
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