4.6
stars
599 ratings

Taught by Meta Staff

35,183 already enrolled

Offered By

About this Course

442,468 recent views

In this course, you will be introduced to foundational programming skills with basic Python Syntax. You’ll learn how to use code to solve problems. You’ll dive deep into the Python ecosystem and learn popular modules, libraries and tools for Python. 
You’ll also get hands-on with objects, classes and methods in Python, and utilize variables, data types, control flow and loops, functions and data structures. You’ll learn how to recognize and handle errors and you’ll write unit tests for your Python code and practice test-driven development.

By the end of this course, you will be able to:
•	Prepare your computer system for Python programming
•	Show understanding of Python syntax and how to control the flow of code
•	Demonstrate knowledge of how to handle errors and exceptions
•	Explain object-oriented programming and the major concepts associated with it
•	Explain the importance of testing in Python, and when to apply particular methods

This is a beginner course for learners who would like to prepare themselves for a career in back-end development or database engineering. To succeed in this course, you do not need prior web development experience, only basic internet navigation skills and an eagerness to get started with coding.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Coursera Labs

Includes hands on learning projects.

Learn more about Coursera Labs

Beginner Level

None! Learners do not need prior web development experience. Only basic internet navigation skills and an eagerness to get started with coding.

Approx. 44 hours to complete

English

What you will learn

Foundational programming skills with basic Python Syntax.
How to use objects, classes and methods.

Skills you will gain

Cloud Hosting
Application Programming Interfaces (API)
Python Programming
Computer Programming
Django (Web Framework)

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Coursera Labs

Includes hands on learning projects.

Learn more about Coursera Labs

Beginner Level

None! Learners do not need prior web development experience. Only basic internet navigation skills and an eagerness to get started with coding.

Approx. 44 hours to complete

English

Instructor

Instructor rating

4.62/5 (205 Ratings)

Taught by Meta Staff

293,526 Learners

67 Courses

Offered by

Syllabus - What you will learn from this course

Content Rating93%(7,584 ratings)

Week1

Week 1

8 hours to complete

Getting started with Python

8 hours to complete

19 videos (Total 89 min), 17 readings, 4 quizzes

19 videos

Introduction to the Course2mHow is Python used in the real world?2mIntroduction to Programming4mWhy Python?2mEnvironment check for Windows2mEnvironment check for Mac3mRunning code - Command line VS IDE3mPython syntax, spaces matter3mVariables6mBasic data types6mStrings5mType casting2mUser input, console output8mMath and logical operators7mControl flow: If / else, else if6mSwitch statement6mLooping constructs5mNested loops and the effect on algorithmic complexity5mModule summary: Getting started with Python1m

17 readings

Course syllabus5mHow to be successful in this course10mVisual Studio Code5mInstalling Python paths (Optional for Windows Users)5mInstalling Python paths (Optional for Mac users)5mRequired dependencies5mPython syntax cheat sheetCommenting code5mBasic Data type and Function Cheatsheet10mType casting, a deeper look10mAdditional resources5mConditional statements15mLooping Constructs: Practical Examples5mPracticing control flow and loops5mExercise: Use control flow and loops to solve a problem30mUse control flow and loops to solve a problem - solution10mAdditional resources5m

3 practice exercises

Knowledge check - Welcome to Python Programming20mSelf-review: Use control flow and loops to solve a problem10mModule quiz: Getting started with Python30m

Week2

Week 2

10 hours to complete

Basic Programming with Python

10 hours to complete

13 videos (Total 58 min), 9 readings, 7 quizzes

13 videos

Functions5mVariable scope4mLists5mTuples3mSets4mDictionaries6mkwargs2mWhat are exceptions2mException handling4mFile handling in Python5mCreating Files5mReading Files5mModule summary: Basic Programming with Python1m

9 readings

Function and variable scope15mWhat are data structures?10mChoosing and using data structures15mVisual Studio Code on Coursera10mAdditional resources5mExercise: Exceptions in Python30mExceptions in Python - solution10mStoring file contents in data structures20mAdditional resources5m

5 practice exercises

Functions, loops and data structures15mKnowledge check: Functions and Data structures15mExceptions in Python10mRead in data, store, manipulate and output new data to a file15mModule quiz: Basic Programming with Python25m

Week3

Week 3

15 hours to complete

Programming paradigms

15 hours to complete

16 videos (Total 75 min), 19 readings, 11 quizzes

16 videos

What is procedural programming?4mAlgorithms5mAlgorithmic complexity3mWhat is functional programming?3mPure functions6mRecursion3mReversing a string on Python4mMap & filter4mIntroduction to Object Oriented Programming5mPython classes and instances4mInstantiate a custom Object4mInstance methods4mParent classes vs. child classes6mAbstract classes and methods4mMethod Resolution Order5mModule summary: Programming paradigms2m

19 readings

Writing Algorithms20mExercise: Make a cup of coffee10mMake a cup of coffee - solution10mIntro to Big-O notation15mAdditional resources5mRecursion example: Tower of Hanoi10mComprehensions30mAdditional resources5mOOP Principles20mExercise: Define a Class30mDefine a Class - solution10mExercise: Instantiate a custom Object30mInstantiate a custom Object - solution10mInheritance and Multiple Inheritance30mExercise: Classes and object exploration30mWorking with Methods: Examples20mExercise: Working with Methods30mWorking with Methods - solution10mAdditional resources5m

9 practice exercises

Self-review: Make a cup of coffee10mKnowledge check: Procedural Programming12mMapping key values to dictionary data structures12mKnowledge check: Functional Programming12mSelf-review: Define a Class12mSelf-review: Instantiate a custom Object12mAbstract classes and methods15mSelf-review: Working with Methods18mModule quiz: Programming Paradigms25m

Week4

Week 4

10 hours to complete

Modules, packages, libraries and tools

10 hours to complete

17 videos (Total 73 min), 7 readings, 6 quizzes

17 videos

What is a module in Python?4mAccessing modules3mThe import statement4mWriting import statements5mNamespacing and scoping7mreload() function4mPopular packages: NumPy, pandas, Matplotlib, etc4mData analysis packages4mMachine learning, deep learning and AI: PyTorch, TensorFlow2mPython web frameworks3mWhat is testing?5mTypes of testing4mTest automation packages4mWriting tests with PyTest4mTest-driven development (TDD)3mApplying TDD3mModule summary: Modules, packages, libraries and tools2m

7 readings

Module Use-cases30mAdditional resources5mPopular Packages: Examples30mBig Data and Analysis with Python15mAdditional Resources10mPyTest cheat sheet10mAdditional resources5m

4 practice exercises

Knowledge check: Modules18mKnowledge check: Popular Packages, Libraries and Frameworks15mTesting quiz15mModule quiz: Modules, packages, libraries and tools24m

Reviews

4.6

180 reviews

5 stars
76.64%
4 stars
15.46%
3 stars
4.76%
2 stars
1.97%
1 star
1.15%

TOP REVIEWS FROM PROGRAMMING IN PYTHON

by BJul 23, 2022

Thoroughly enjoyed this course. It had a good mix of challenging programming assignments and I feel like I learned a lot about python

by FTJul 5, 2022

I have been using Python on and off for 5 years. This is a very comprehensive course. It serves very well as a refresher for me.

by DGNov 25, 2022

Covering all aspect of Python programming, including the Poplar Libraries & packages used for like Web, AI, ML Data Analysis, Big Data etc.

by MAOct 15, 2022

This course is an excellent resource for beginners to understand the basics and also intermediate python programmer to enhance their skills.

View all reviews

Frequently Asked Questions

When will I have access to the lectures and assignments?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I subscribe to this Certificate?
When you enroll in the course, you get access to all of the courses in the Certificate, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

More questions? Visit the Learner Help Center.

Programming in Python

About this Course

What you will learn

Skills you will gain