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Bo Milanovich
Hello, and welcome to Python: Getting Started, part of the Python Learning Path here at Pluralsight. My name is Bo Milanovich, and I’m looking forward to helping you learn this powerful and versatile language. Along the way, you’re going to be learning about things like syntax, functions, and classes, exploring how to create a console application and how to convert that same app into a web app, as well learn how to create executable files and an installation wizard from your Python app. In addition to Python, you’ll also be using Flask and Pycharm. This is a beginner-friendly course, but you’ll want to make sure you’re already up...
Read more
Hello, and welcome to Python: Getting Started, part of the Python Learning Path here at Pluralsight. My name is Bo Milanovich, and I’m looking forward to helping you learn this powerful and versatile language. Along the way, you’re going to be learning about things like syntax, functions, and classes, exploring how to create a console application and how to convert that same app into a web app, as well learn how to create executable files and an installation wizard from your Python app. In addition to Python, you’ll also be using Flask and Pycharm. This is a beginner-friendly course, but you’ll want to make sure you’re already up...
Read more
Hello, and welcome to Python: Getting Started, part of the Python Learning Path here at Pluralsight. My name is Bo Milanovich, and I’m looking forward to helping you learn this powerful and versatile language. Along the way, you’re going to be learning about things like syntax, functions, and classes, exploring how to create a console application and how to convert that same app into a web app, as well learn how to create executable files and an installation wizard from your Python app. In addition to Python, you’ll also be using Flask and Pycharm. This is a beginner-friendly course, but you’ll want to make sure you’re already up to speed on programming basics, such as what a function does and what a variable is. So if you’re ready to get going, Python: Getting Started is waiting for you. Thanks again for visiting me here at Pluralsight!
Register for this course and see more details by visiting:
OpenCourser.com/course/erltum/python
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Teaches the fundamentals of Python, including syntax, functions, and classes, which are essential for beginner Python programmers
Incorporates industry-standard tools like Flask and PyCharm, giving learners practical experience with professional development tools
Instructed by Bo Milanovich, an experienced developer and educator
Provides hands-on experience through console and web application development, solidifying learner understanding
Builds a foundation for advanced Python concepts, making it suitable for both beginners and those looking to enhance their skills
Assumes prior knowledge of programming basics, such as functions and variables, which may require learners to supplement their understanding before enrolling
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Career center
Learners who complete Python: Getting Started will develop knowledge and skills
that may be useful to these careers:
Data Engineer
Data Engineer
A Data Engineer designs, builds, and maintains data pipelines. The Python: Getting Started course can help you build a foundation in Python, a popular programming language for data engineering. You will learn the basics of Python syntax, data structures, and algorithms. You will also learn how to use Python to wrangle, clean, and analyze data. If you are interested in a career as a Data Engineer, the Python: Getting Started course is a great place to start.
Software Engineer
Software Engineer
A Software Engineer designs, develops, tests, and maintains software systems. The Python: Getting Started course can help you build a foundation in Python, one of the most popular programming languages in the world. You will learn the basics of Python syntax, data structures, and algorithms. You will also learn how to use Python to create simple applications. If you are interested in a career as a Software Engineer, the Python: Getting Started course is a great way to get started.
Machine Learning Engineer
Machine Learning Engineer
A Machine Learning Engineer designs, develops, and deploys machine learning models. The Python: Getting Started course can help you build a foundation in Python, a popular programming language for machine learning. You will learn the basics of Python syntax, data structures, and algorithms. You will also learn how to use Python to build machine learning models. If you are interested in a career as a Machine Learning Engineer, the Python: Getting Started course is a great place to start.
Statistician
Statistician
A Statistician collects, analyzes, interprets, and presents data. The Python: Getting Started course can help you develop the skills you need to succeed as a Statistician. You will learn how to use Python to wrangle, clean, and analyze data. You will also learn how to use Python to create visualizations that communicate your findings effectively. If you are interested in a career as a Statistician, the Python: Getting Started course is a great place to start.
Web Developer
Web Developer
A Web Developer designs, develops, and maintains websites. The Python: Getting Started course can help you learn the basics of Python, a popular programming language for web development. You will learn how to use Python to create dynamic and interactive web pages. You will also learn how to use Flask, a popular Python framework for web development. If you are interested in a career as a Web Developer, the Python: Getting Started course is a great place to start.
Data Analyst
Data Analyst
A Data Analyst collects, analyzes, interprets, and presents data. They use their findings to help businesses make better decisions. The Python: Getting Started course can help you develop the skills you need to succeed as a Data Analyst. You will learn how to use Python to wrangle, clean, and analyze data. You will also learn how to create visualizations that communicate your findings effectively. If you are interested in a career as a Data Analyst, the Python: Getting Started course is a great place to start.
Data Scientist
Data Scientist
A Data Scientist uses data to solve business problems. The Python: Getting Started course can help you develop the skills you need to succeed as a Data Scientist. You will learn how to use Python to wrangle, clean, and analyze data. You will also learn how to use Python to build machine learning models. If you are interested in a career as a Data Scientist, the Python: Getting Started course is a great place to start.
Data Visualization Specialist
Data Visualization Specialist
A Data Visualization Specialist creates visual representations of data. The Python: Getting Started course can help you develop the skills you need to succeed as a Data Visualization Specialist. You will learn how to use Python to analyze data and create visualizations. If you are interested in a career as a Data Visualization Specialist, the Python: Getting Started course is a great place to start.
Actuary
Actuary
An Actuary uses mathematics and statistics to assess risk. The Python: Getting Started course can help you develop the skills you need to succeed as an Actuary. You will learn how to use Python to analyze data and build financial models. If you are interested in a career as an Actuary, the Python: Getting Started course is a great place to start.
Business Analyst
Business Analyst
A Business Analyst analyzes business processes and identifies areas for improvement. The Python: Getting Started course can help you develop the skills you need to succeed as a Business Analyst. You will learn how to use Python to automate tasks and analyze data. You will also learn how to use Python to create visualizations that communicate your findings effectively. If you are interested in a career as a Business Analyst, the Python: Getting Started course is a great place to start.
Operations Research Analyst
Operations Research Analyst
An Operations Research Analyst uses mathematics and statistics to solve business problems. The Python: Getting Started course can help you develop the skills you need to succeed as an Operations Research Analyst. You will learn how to use Python to analyze data and build mathematical models. If you are interested in a career as an Operations Research Analyst, the Python: Getting Started course is a great place to start.
Financial Analyst
Financial Analyst
A Financial Analyst analyzes financial data and makes recommendations. The Python: Getting Started course can help you develop the skills you need to succeed as a Financial Analyst. You will learn how to use Python to analyze financial data and build financial models. If you are interested in a career as a Financial Analyst, the Python: Getting Started course is a great place to start.
Product Manager
Product Manager
A Product Manager manages the development and launch of new products. The Python: Getting Started course can help you develop the skills you need to succeed as a Product Manager. You will learn how to use Python to analyze data and build business models. If you are interested in a career as a Product Manager, the Python: Getting Started course is a great place to start.
Quantitative Analyst
Quantitative Analyst
A Quantitative Analyst uses mathematics and statistics to solve financial problems. The Python: Getting Started course can help you develop the skills you need to succeed as a Quantitative Analyst. You will learn how to use Python to analyze financial data and build financial models. If you are interested in a career as a Quantitative Analyst, the Python: Getting Started course is a great place to start.
Management Consultant
Management Consultant
A Management Consultant helps businesses solve problems and improve performance. The Python: Getting Started course can help you develop the skills you need to succeed as a Management Consultant. You will learn how to use Python to analyze data and build business models. If you are interested in a career as a Management Consultant, the Python: Getting Started course is a great place to start.
For more career information including salaries, visit:
OpenCourser.com/course/erltum/python
Reading list
We haven't picked any books for this reading list yet.
Practical guide to using Python for basic automation tasks, providing a gentle introduction to Python's core concepts and its practical applications.
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Comprehensive guide to the basics of Python programming, covering data types, control flow, functions, object-oriented programming, and debugging.
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Uses a creative and engaging approach to teach Python concepts, with a focus on visual learning and hands-on exercises.
Comprehensive guide to Python's data analysis ecosystem, including NumPy, Pandas, and Matplotlib, with a focus on practical applications.
Comprehensive guide to machine learning using Python, covering supervised and unsupervised learning, model evaluation, and deployment.
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Comprehensive guide to deep learning using Python, covering neural networks, convolutional neural networks, and recurrent neural networks.
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Concise and comprehensive reference to the Python language, covering syntax, built-in functions and objects, and advanced topics.
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Deep dive into Python's advanced features, covering metaprogramming, decorators, generators, and concurrency.
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Collection of practical recipes and solutions for common Python programming tasks, covering a wide range of topics.
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Is an introductory text to Python programming, with a focus on computational thinking and problem-solving.
Comprehensive guide to the Python Standard Library, covering its vast collection of modules and their applications.
Practical guide to testing Python code using the pytest framework, covering unit testing, integration testing, and end-to-end testing.
Practical guide to using Python for bioinformatics tasks, covering sequence analysis, genome assembly, and data visualization.
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Comprehensive guide to using Python for financial analysis and modeling, covering data manipulation, financial calculations, and visualization.
Comprehensive guide to Flask web development. It covers everything from the basics of Flask to more advanced topics such as deploying Flask applications. The book is well-written and easy to follow, making it a great choice for beginners and experienced developers alike.
Great introduction to Flask for beginners. It covers the basics of Flask in a clear and concise way. The book also includes several examples that can be used to build your own Flask applications.
Comprehensive guide to Flask web development. It covers everything from the basics of Flask to more advanced topics such as deploying Flask applications. The book is well-written and easy to follow, making it a great choice for beginners and experienced developers alike.
Is the second part of the Flask Mega-Tutorial. It covers more advanced topics such as building web applications, using databases, and deploying Flask applications.
Guide to deploying Flask applications. The book covers a wide range of topics, from basic deployment techniques to more advanced topics such as continuous integration and delivery.
Guide to using MongoDB with Flask web development. MongoDB database that is designed to store and retrieve data in a flexible and scalable way. Using MongoDB with Flask can help to improve the performance and scalability of Flask applications.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/erltum/python
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Time
3 hours
Via
Pluralsight
Instructor
Bo Milanovich
This course belongs to a
collection
called
Python. It's comprised of 12 courses:
- Python: The Big Picture
- Python: Getting Started (viewing)
- Advanced Python
- Python Fundamentals
- Python – Beyond the Basics
- The Python Developer's Toolkit
- Unit Testing with Python
- Full Stack Web Development with Python (WEB2PY)
- Python Best Practices for Code Quality
- Managing Python Packages and Virtual Environments
- Core Python 3: Getting Started
- Advanced Python
Good to know
Teaches the fundamentals of Python, including syntax, functions, and classes, which are essential for beginner Python programmers
Incorporates industry-standard tools like Flask and PyCharm, giving learners practical experience with professional development tools
Instructed by Bo Milanovich, an experienced developer and educator
Provides hands-on experience through console and web application development, solidifying learner understanding
Builds a foundation for advanced Python concepts, making it suitable for both beginners and those looking to enhance their skills
Assumes prior knowledge of programming basics, such as functions and variables, which may require learners to supplement their understanding before enrolling
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