
Explore how programming languages use syntax to enable computers to solve real-world problems. See applications in gaming, banking, and machine learning, with Python at the core of this course.
Explore how data becomes binary code and how high-level languages turn into zeros and ones, then use variables as temporary storage with names and addresses in Python.
Explore decision making statements in Python, including if, else if, and else, with real-world examples like rain preventing football and ice cream rewards, and learn how conditions control program flow.
Learn looping statements using a while loop that repeats actions while a condition is true. See examples: filling a bucket, looping a song, and salary at end of each month.
See how real-life actions map to programming functions. Use an ATM example to show deposit, withdraw, and balance as reusable functions.
Explore object oriented programming concepts by treating classes as blueprints and objects as instances with properties and behavior, using Apple, Motorola, and Samsung phones as examples.
Learn to solve real-world problems with a step-by-step algorithmic approach, from gathering inputs and ingredients to producing outputs like determining even or odd numbers.
Explore Python as a free, open source, cross-platform language with a standard library and object oriented design. Install from Python.org and use PyCharm with Jupyter and Anaconda for data science.
Explore how to install and use Anaconda and its Navigator and Prompt, open and name a Jupyter Notebook, manage ipynb files, edit cells, run code, and use keyboard shortcuts.
Define variables to store data in Python and explore dynamically typed data types like integer, float, boolean, string, and complex using examples and type checks.
Explore Python operators, including arithmetic, relational, and logical operators, with examples of plus, minus, multiplication, division, and or operators, plus code comments.
Explore Python tokens, including keywords, identifiers, literals, and operators, and learn how keywords are reserved, identifiers are case sensitive, and literals are numeric, string, or boolean constants.
Learn how Python strings work as sequences of characters, using single, double, and triple quotes, with zero-based indexing and key methods like len, upper, lower, replace, count, find, and split.
Explore how Python tuples offer an immutable, ordered collection of heterogeneous elements enclosed in round braces, enabling indexing, slicing, concatenation, repetition, and retrieving minimum and maximum values.
Explore lists in Python, learn how they differ from immutable tuples, and practice creating, indexing, extracting elements, and modifying lists with append, pop, reverse, insert, sort, and concatenation.
Explore how dictionaries store unordered key-value pairs, are mutable, and learn keys, values, items, update, and pop operations with fruit examples.
Explore Python sets, learn how they are unordered and unindexed, enforce no duplicates, and perform add, update, remove, union, and intersection operations with practical examples.
Learn Python if statements, including if, else, and elif, to compare values, print results, and apply conditional logic to tuples, lists, and dictionaries.
Master python looping statements, including while and for loops, by printing the first ten numbers, generating the two-times table, and iterating over and updating lists and nested sequences.
Master basic Python problems by applying conditional and looping statements to detect even or odd numbers, signs, factorials, reversed numbers, palindromes, and Fibonacci sequences.
Explore Python functions, including normal functions defined with def and lambda anonymous functions, with parameters, returning values, and invoking them; learn to use lambda with filter, map, and reduce.
Discover object oriented programming in Python by modeling real world objects with classes and objects. Define attributes and methods, and create objects as instances of a user defined data type.
Create your first Python class with the class keyword, name it with a capital letter, define make call and play game methods, and call them via dot notation.
Learn to add parameters to class methods by using self to set color and cost on a phone and retrieve them with show color and show cost.
Learn how to define a class with a constructor in Python, create an init method, initialize attributes with self, and instantiate objects to print employee details.
Explore how Python demonstrates inheritance by creating a vehicle base class and a car subclass, sharing attributes like mileage, cost, tires, and horsepower.
Explore the four inheritance types in Python—single, multiple, multi-level, and hybrid—through practical class examples and method inheritance.
Python is commonly used for developing websites and software, task automation, data analysis, and data visualization. Since it's relatively easy to learn, Python has been adopted by many non-programmers such as accountants and scientists, for a variety of everyday tasks, like organizing finances.
“Writing programs is a very creative and rewarding activity,You can write programs for many reasons, ranging from making your living to solving a difficult data analysis problem to having fun to helping someone else solve a problem.”
What can you do with python? Some things include:
Data analysis and machine learning
Web development
Automation or scripting
Software testing and prototypingCoursera
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What Is Python Used For? A Beginner’s Guide
What Is Python Used For? A Beginner’s Guide
Written by Coursera • Updated on Nov 14, 2022
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Python has become one of the most popular programming languages in the world in recent years. It's used in everything from machine learning to building websites and software testing. It can be used by developers and non-developers alike.
[Featured image] A software developer coding in Python on her laptop.
Python, one of the most popular programming languages in the world, has created everything from Netflix’s recommendation algorithm to the software that controls self-driving cars. Python is a general-purpose language, which means it’s designed to be used in a range of applications, including data science, software and web development, automation, and generally getting stuff done.
Let’s take a closer look at what Python is, what it can do, and how you can start learning it.
What is Python?
Python is a computer programming language often used to build websites and software, automate tasks, and conduct data analysis. Python is a general-purpose language, meaning it can be used to create a variety of different programs and isn’t specialized for any specific problems. This versatility, along with its beginner-friendliness, has made it one of the most-used programming languages today. A survey conducted by industry analyst firm RedMonk found that it was the second-most popular programming language among developers in 2021 [1].
Did you know? The name Python comes from Monty Python. When Guido van Rossum was creating Python, he was also reading the scripts from BBC’s Monty Python’s Flying Circus. He thought the name Python was appropriately short and slightly mysterious.
What is Python used for?
Python is commonly used for developing websites and software, task automation, data analysis, and data visualization. Since it’s relatively easy to learn, Python has been adopted by many non-programmers such as accountants and scientists, for a variety of everyday tasks, like organizing finances.
“Writing programs is a very creative and rewarding activity,” says University of Michigan and Coursera instructor Charles R Severance in his book Python for Everybody. “You can write programs for many reasons, ranging from making your living to solving a difficult data analysis problem to having fun to helping someone else solve a problem.”
What can you do with python? Some things include:
Data analysis and machine learning
Web development
Automation or scripting
Software testing and prototyping
Everyday tasks
Here’s a closer look at some of these common ways Python is used.
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Data analysis and machine learning
Python has become a staple in data science, allowing data analysts and other professionals to use the language to conduct complex statistical calculations, create data visualizations, build machine learning algorithms, manipulate and analyze data, and complete other data-related tasks.
Python can build a wide range of different data visualizations, like line and bar graphs, pie charts, histograms, and 3D plots. Python also has a number of libraries that enable coders to write programs for data analysis and machine learning more quickly and efficiently, like TensorFlow and Keras.
Web development
Python is often used to develop the back end of a website or application—the parts that a user doesn’t see. Python’s role in web development can include sending data to and from servers, processing data and communicating with databases, URL routing, and ensuring security. Python offers several frameworks for web development. Commonly used ones include Django and Flask.
Some web development jobs that use Python include back end engineers, full stack engineers, Python developers, software engineers, and DevOps engineers.
Read more: How to Become a Web Developer
Automation or scripting
If you find yourself performing a task repeatedly, you could work more efficiently by automating it with Python. Writing code used to build these automated processes is called scripting. In the coding world, automation can be used to check for errors across multiple files, convert files, execute simple math, and remove duplicates in data.
Python can even be used by relative beginners to automate simple tasks on the computer—such as renaming files, finding and downloading online content or sending emails or texts at desired intervals.
Software testing and prototyping
In software development, Python can aid in tasks like build control, bug tracking, and testing. With Python, software developers can automate testing for new products or features. Some Python tools used for software testing include Green and Requestium.
University of Michigan
Python for Everybody
Specialization
Beginner level
· 8 month(s)
Skills you'll build:Json, Xml, Python Programming, Database (DBMS), Python Syntax And Semantics, Basic Programming Language, Computer Programming, Data Structure, Tuple, Web Scraping, Sqlite, SQL, Data Analysis, Data Visualization (DataViz)
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Everyday tasks
Python isn't only for programmers and data scientists. Learning Python can open new possibilities for those in less data-heavy professions, like journalists, small business owners, or social media marketers. Python can also enable non-programmers to simplify certain tasks in their lives. Here are just a few of the tasks you could automate with Python:
Keep track of stock market or crypto prices
Send yourself a text reminder to carry an umbrella anytime it’s raining
Update your grocery shopping list
Renaming large batches of files
Converting text files to spreadsheets
Randomly assign chores to family members
Fill out online forms automatically
Why is Python so popular?
Python is popular for a number of reasons. Here’s a deeper look at what makes it so versatile and easy to use for coders.
It has a simple syntax that mimics natural language, so it’s easier to read and understand. This makes it quicker to build projects, and faster to improve on them.
It’s versatile. Python can be used for many different tasks, from web development to machine learning.
It’s beginner friendly, making it popular for entry-level coders.
It’s open source, which means it’s free to use and distribute, even for commercial purposes.
Python’s archive of modules and libraries—bundles of code that third-party users have created to expand Python’s capabilities—is vast and growing.
Python has a large and active community that contributes to Python’s pool of modules and libraries, and acts as a helpful resource for other programmers. The vast support community means that if coders run into a stumbling block, finding a solution is relatively easy; somebody is bound to have encountered the same problem before.
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For those just starting out, Google’s IT Support Professional Certificate prepares course takers for an entry-level position by teaching such IT support tasks as computer assembly, wireless networking, installing programs, and customer service.
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Professional Certificate
Beginner level
· 6 month(s)
Skills you'll build:Using Version Control, Troubleshooting & Debugging, Python Programming, Configuration Management, Automation, Basic Python Data Structures, Fundamental Programming Concepts, Basic Python Syntax, Object-Oriented Programming (OOP), Setting up your Development Environment, Regular Expression (REGEX), Testing in Python, Automating System Administration Tasks with Python, Bash Scripting, Using Git, Version Control Systems, Interacting with GitHub, Reverting Changes, Creating Pull Requests, Improving Software Performance, Managing Scarce Resources, Advanced Troubleshooting, Understanding Errors, Finding the Root Cause of a Problem, Automation at Scale, Basic Monitoring & Alerting, Cloud Computing, Using Puppet, Serialization, Building a Solution, Creating and Translating Media Files, Interacting with Web Services
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Frequently asked questions (FAQ)
Should I learn Python 2 or Python 3?
How long does it take to learn Python?
Learning the basics of Python can take anywhere from a few weeks to a few months, depending on what you want to learn and how frequently you learn. But since Python has so many uses—and tools to support those uses—you can spend years learning its different applications.
Knowing what tasks you want to accomplish and whether you want to use Python in a professional capacity can determine how long your Python journey will be.
“It is a lot easier to be a professional programmer today than it was 20 years ago,” says Severance. “You don't need a bachelor's degree or years of experience to get your start in programming. With the increasing popularity of Python, you can gain the necessary skills to begin writing software as part of your job in a few months.”
I can promise you guys, can learn the basics of python even the person who is not having basic knowledge over the python or any coding language till date. Enjoy your sessions with best concentration over the tutorials. I am also attaching the materials to understand very easily. I feel guys can rock the entire course and anyways All the best for your future. So then we can start now itself.