Python Programming, a versatile and powerful programming language, has gained immense popularity in recent years due to its readability, ease of use, and extensive libraries. Whether you’re a beginner or looking to enhance your existing skills, there are numerous high-quality free courses available online to help you master Python programming
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About the Python Programming
Python is a high-level, general-purpose programming language known for its simplicity, readability, and versatility. It’s widely used in various fields, including:
Web development: Building websites and web applications using frameworks like Django and Flask.
Data science and machine learning: Analyzing data, building predictive models, and developing AI applications.
Scientific computing: Conducting simulations, data analysis, and numerical computations in fields like physics, chemistry, and biology.
Automation: Creating scripts to automate repetitive tasks and streamline workflows.
Game development: Developing games using libraries like Pygame.
Benefits of Learning Python Programming
Before diving into the best free courses, let’s explore the advantages of learning Python:
Versatility: Python is widely used in various domains, including web development, data science, machine learning, automation, and scientific computing.
Readability: Python’s syntax is clean and concise, making it easier to learn and understand compared to other languages.
Large Community: Python has a vast and supportive community, providing abundant resources, libraries, and forums for learning and problem-solving.
Extensive Libraries: Python boasts a rich ecosystem of libraries and frameworks, such as NumPy, Pandas, TensorFlow, and Django, that simplify complex tasks and accelerate development.
Eligibility Criteria
5 Free Courses to Learn Python Programming For Everyone.
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Here Are 5 Free Courses to Learn Python Programming
1. Python for Everybody Specialization
This Specialization builds on the success of the Python for Everybody course and will introduce fundamental programming concepts including data structures, networked application program interfaces, and databases, using the Python programming language. In the Capstone Project, you’ll use the technologies learned throughout the Specialization to design and create your own applications for data retrieval, processing, and visualization.
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2. Python for Data Science, AI & Development
Kickstart your learning of Python with this beginner-friendly self-paced course taught by an expert. Python is one of the most popular languages in the programming and data science world and demand for individuals who have the ability to apply Python has never been higher.
This introduction to Python course will take you from zero to programming in Python in a matter of hours—no prior programming experience necessary! You will learn about Python basics and the different data types. You will familiarize yourself with Python Data structures like List and Tuples, as well as logic concepts like conditions and branching. You will use Python libraries such as Pandas, Numpy & Beautiful Soup. You’ll also use Python to perform tasks such as data collection and web scraping with APIs.
You will practice and apply what you learn through hands-on labs using Jupyter Notebooks. By the end of this course, you’ll feel comfortable creating basic programs, working with data, and automating real-world tasks using Python.
This course is suitable for anyone who wants to learn Data Science, Data Analytics, Software Development, Data Engineering, AI, and DevOps as well as a number of other job roles.
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3. Crash Course on Python
This course is designed to teach you the foundations in order to write simple programs in Python using the most common structures. No previous exposure to programming is needed. By the end of this course, you will understand the benefits of programming in IT roles; understand basic Python syntax; explore different code editors and developer environments; be able to write simple programs using Python; figure out how the building blocks of programming fit together; and combine all of this knowledge to solve a complex programming problem.
We’ll start off by diving into the basics of writing a computer program. Along the way, you’ll get hands-on experience with programming concepts through interactive exercises and real-world examples. You’ll quickly start to see how computers can perform a multitude of tasks — you just have to write code that tells them what to do.
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4. Python Basics
This course introduces the basics of Python 3, including conditional execution and iteration as control structures, and strings and lists as data structures. You’ll program an on-screen Turtle to draw pretty pictures. You’ll also learn to draw reference diagrams as a way to reason about program executions, which will help to build up your debugging skills. The course has no prerequisites. It will cover Chapters 1-9 of the textbook “Fundamentals of Python Programming,” which is the accompanying text (optional and free) for this course.
The course is for you if you’re a newcomer to Python programming, if you need a refresher on Python basics, or if you may have had some exposure to Python programming but want a more in-depth exposition and vocabulary for describing and reasoning about programs. This is the first of five courses in the Python 3 Programming Specialization.
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5. Programming in Python
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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
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