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
Gain insight into a topic and learn the fundamentals4.7
(5939)
Beginner
Recommended experience61 chapters
Flexible schedule
Learn at your own paceView course modules
Outcomes
Learning outcomes
Modules
Testimonials
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Codefinity advantages
FAQs
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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Assessments41 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
- Negative Indexing and String Length 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: Outputting Positive, Negative or ZeroPreview
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: Completing 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 PythonsPreview
- 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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Why people choose Codefinity for their career
Kwizera Mugisha
The teaching methodology at Codefinity is excellent, and I particularly appreciate how it has prepared me to handle real-world coding problems. Currently, I am delving into Node.js and eagerly anticipate building full-stack projects that integrate all the knowledge I have gained.
Sherry Barnes-Fox
My first course was 4 hours, I did it in a few days, "nugget-style. The instructions are very clear and easy to understand. There is even a hint to help you get the answer, and if you still cannot get the answer, then you can display the answer. I love the learning style that is used, it engages me.
Bill Wagner
I have really liked the browser-based lessons that allow me to code within the lesson. The RUN button allows me to test the code I write before submitting for a grade.
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.
Learner reviews
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50 reviews
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Showing 3 of 50 reviews
Allen Zhou
5
Reviewed on Feb 21, 2025
George Thomas
5
Reviewed on Feb 20, 2025
Very comprehensive and detailed content. Happy not to have to watch videos and can just read the instructions and practice.
Beau Levens
5
Reviewed on Feb 20, 2025
Recommended if you're interested in learning Python
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