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Stone River eLearning

Learn Python with Python Programming for Beginners from Stone River eLearning.

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Learn Python with Python Programming for Beginners from Stone River eLearning.

Delving into the world of coding can be intimidating. With so many complex languages and implementation possibilities, it's easy to become overwhelmed. By starting off with Python programming, you'll learn a simple, versatile and highly readable code that you can execute on a wide variety of systems quickly and easily.

Master one of the most popular programming languages in the world

  • Understand and implement basic Python code
  • Create and run a real-world Python program
  • Gain a knowledge of basic programming concepts

Learn a simple, streamlined coding language quickly and easily

If you've never written a single line of code or if you're well-versed in multiple program languages, Python Programming for Beginners will enable you to better understand programming concepts.

Widely regarded as one of the most simple and versatile programming languages out there, Python is used for web programming, video game building, microchip testing, desktop apps, and so much more. Used by programmers, developers, designers and everyone in between, it's one of the easiest programming languages to learn, and definitely the best starting point for new coders. This course will not only give you an understanding of the code, but will enable you to create and run real world Python programs too.

Course Overview

This course includes over 26 lectures and almost 4 hours of content, designed specifically for Python programming beginners.

You will be guided through the installation process and the basic concepts of Python programming, getting to grips with the language as a whole. From there, you'll dive straight into the specifics, learning the variables, loops and statements of the language and getting to grips with the function parameters, variables and common errors.

During this course you'll have the opportunity to put your knowledge to practical use by working with files and classes, importing syntax and making modules, and most importantly, by building your own Python program from scratch.

You'll walk away with detailed knowledge of one of the most widely used programming languages in the world. You'll have gained a foundation of skills that will enable you to progress to more complex coding languages, as well as understanding the underlying principles of all programming languages. In short, you'll have everything you need to become a proficient programmer.

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What's inside

Learning objectives

  • Understand and implement basic python code
  • Gain a knowledge of basic programming concepts
  • Create and run a real-world python program

Syllabus

Getting Started with Python

Download the project files here.

Print and Strings
Math
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Variables, Loops and Statements
Variables
While Loops
For Loops
If Statements
If Else Statements
If Elif Else Statements
Functions and Variables
Functions
Function Parameters
Global and Local Variables
Understanding Error Detection
Common Python Errors
Working with Files and Classes
Writing to a File
Appending to a File
Reading From a File
Classes
Intermediate Python
Input and Statistics
Import Syntax
Making Modules
Error Handling - Try and Except
Lists vs. Tuples and List Manipulation
Dictionaries
Final Project
Final Project Solution
Bonus Material
Bonus Lecture

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Teaches skills, knowledge, and tools that are highly relevant to industry
Develops a strong foundation in Python programming, which is a key element in web programming, video game building, and desktop applications
Explores topics such as variables, loops, statements, functions, and error detection, which are fundamental concepts in programming
Taught by Stone River eLearning, who have a strong reputation for their work in Python programming
Builds a foundation for beginners, making it suitable for those with no prior coding experience
Covers a wide range of topics, including working with files, classes, and modules

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Python Programming for Beginners with these activities:
Read 'Python Crash Course'
This book provides a clear and concise introduction to Python programming and would be a valuable supplement to the course materials.
Show steps
  • Read Chapter 1: Getting Started with Python
  • Work through the exercises in Chapter 1
  • Continue reading and working through the exercises in subsequent chapters
Join a Python Study Group
Engaging with peers in a study group can provide support and different perspectives on Python concepts.
Show steps
  • Find or create a Python study group
  • Attend regular study sessions
  • Participate actively in discussions and Q&A sessions
  • Collaborate on projects or assignments
Follow Tutorials on Python Lists and Dictionaries
Understanding lists and dictionaries is crucial for working with data in Python.
Show steps
  • Find tutorials on Python lists
  • Follow the tutorial steps and complete the exercises
  • Repeat the process for Python dictionaries
Four other activities
Expand to see all activities and additional details
Show all seven activities
Build a Python Calculator
Building a simple Python calculator will test your grasp of the fundamentals of Python programming.
Show steps
  • Plan the calculator's functionality
  • Write code for basic arithmetic operations
  • Add user input and output
  • Enhance with features (e.g., error handling)
Solve Python Coding Challenges
Solving coding challenges helps sharpen your problem-solving skills and deepens your understanding of Python.
Browse courses on Problem Solving
Show steps
  • Find a platform or website that offers Python coding challenges
  • Choose a challenge that aligns with your skill level
  • Attempt to solve the challenge
  • Review the solution and identify areas for improvement
  • Repeat the process with different challenges
Create a Python Tutorial for Beginners
Creating a tutorial for beginners can reinforce your own Python skills and help others learn.
Browse courses on Content Creation
Show steps
  • Choose a specific Python topic to cover
  • Write a clear and concise tutorial
  • Add examples and exercises to illustrate concepts
  • Share your tutorial online or with others
Create a Python Script for Data Analysis
Creating a Python script for data analysis will showcase your ability to apply Python to real-world scenarios.
Show steps
  • Identify a dataset you want to analyze
  • Load the dataset into Python
  • Clean and prepare the data
  • Perform data analysis and visualization
  • Write a Python script to automate the analysis process

Career center

Learners who complete Python Programming for Beginners will develop knowledge and skills that may be useful to these careers:
Data Scientist
Python Programming for Beginners can be a valuable asset for aspiring Data Scientists. The course covers essential Python skills for data science, such as data manipulation, statistical analysis, and data visualization. Additionally, it provides an introduction to machine learning and deep learning, giving you a taste of the techniques used in data science.
Computer Programmer
Python Programming for Beginners can provide a solid foundation for your journey towards becoming a Computer Programmer. It offers a comprehensive introduction to Python programming, including data types, control flow, and object-oriented programming. Moreover, the course covers software development best practices, preparing you to write clean and maintainable code.
Software Engineer
Python Programming for Beginners can be a valuable stepping stone if you aspire to become a Software Engineer. This course offers a comprehensive introduction to Python programming, including data structures, algorithms, and software design principles. By mastering these concepts, you'll build a solid foundation for developing robust and efficient software applications.
Web Developer
If you want to break into Web Development, understanding the fundamentals of Python programming is a smart move. Python Programming for Beginners provides a solid basis for you to grasp essential programming concepts, such as variables, loops, and functions. Moreover, it covers web programming basics, equipping you with the knowledge to build dynamic and interactive web applications using Python frameworks.
Machine Learning Engineer
For aspiring Machine Learning Engineers, Python Programming for Beginners serves as a solid starting point. It provides a comprehensive overview of Python programming, covering concepts like data preprocessing, model training, and evaluation. Furthermore, the course introduces machine learning algorithms and techniques, giving you a foundation to pursue more advanced topics in machine learning.
Data Engineer
Python Programming for Beginners can provide a helpful introduction to the world of Data Engineering. It covers essential Python skills for data engineers, such as data wrangling, data cleaning, and data transformation. Additionally, the course introduces concepts like data pipelines and cloud computing, giving you a taste of the tools and technologies commonly used in data engineering.
Quantitative Analyst
For aspiring Quantitative Analysts, Python Programming for Beginners can serve as a stepping stone. It covers essential Python skills for quantitative analysts, such as data analysis, statistical modeling, and financial analysis. Additionally, the course provides an introduction to machine learning and deep learning, giving you a taste of the techniques used in quantitative finance.
Data Analyst
Python Programming for Beginners can serve as an excellent primer for you to become a Data Analyst. Even though this course targets novices in coding, it thoroughly covers the theoretical and practical aspects of Python, one of the most sought-after programming languages for data analysis. By completing this course, you'll become proficient in data manipulation, statistical analysis, and data visualization using Python libraries, gaining a crucial foundation for a career as a Data Analyst.
Business Analyst
For aspiring Business Analysts, Python Programming for Beginners can be a helpful introduction to data analysis and visualization. It covers essential Python skills for business analysts, such as data cleaning, data manipulation, and data visualization. Additionally, the course provides an overview of business intelligence and data mining techniques, giving you a foundation to contribute to data-driven decision-making.
Financial Analyst
Python Programming for Beginners can be a valuable asset for aspiring Financial Analysts. It covers essential Python skills for financial analysts, such as data analysis, financial modeling, and data visualization. Additionally, the course provides an overview of financial analysis techniques, giving you a foundation to evaluate investments and make sound financial decisions.
Project Manager
Python Programming for Beginners can be a valuable tool for Project Managers who want to automate tasks and streamline processes. It covers essential Python skills for project managers, such as task management, data analysis, and project planning. Additionally, the course provides an overview of project management methodologies, giving you a foundation to lead and execute projects successfully.
Statistician
Python Programming for Beginners can provide a helpful introduction to the field of Statistics. It covers essential Python skills for statisticians, such as data analysis, statistical modeling, and data visualization. Additionally, the course provides an overview of statistical methods, giving you a foundation to collect, analyze, and interpret data.
Systems Analyst
For aspiring Systems Analysts, Python Programming for Beginners can serve as a solid introduction to data analysis and system modeling. It covers essential Python skills for systems analysts, such as data analysis, process modeling, and system design. Additionally, the course provides an overview of systems analysis techniques, giving you a foundation to improve and optimize complex systems.
Operations Research Analyst
Python Programming for Beginners can provide a useful introduction to the field of Operations Research. It covers essential Python skills for operations research analysts, such as optimization, simulation, and data analysis. Additionally, the course provides an overview of operations research techniques, giving you a foundation to apply mathematical and analytical methods to solve complex business problems.
Actuary
Python Programming for Beginners can serve as a useful starting point for aspiring Actuaries. It covers essential Python skills for actuaries, such as data analysis, financial modeling, and probability. Additionally, the course provides an introduction to actuarial science concepts, giving you a foundation to assess and manage risk.

Reading list

We've selected 16 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Python Programming for Beginners.
Comprehensive reference guide to Python programming. It covers all aspects of the language, from the basics to advanced topics such as metaprogramming and concurrency.
Guide to Python programming for experienced programmers. It covers advanced topics such as metaprogramming, concurrency, and functional programming.
Provides a comprehensive introduction to Python programming, covering basic concepts, data types, control flow, functions, and object-oriented programming.
Collection of recipes for solving common programming problems in Python. It covers a wide range of topics, from basic tasks such as file I/O to more advanced topics such as web development and machine learning.
Practical guide to data analysis in Python. It covers the basics of data analysis, as well as more advanced topics such as data visualization and machine learning.
Comprehensive, in-depth guide to Python programming. It covers all aspects of the language, from the basics to advanced topics such as concurrency and network programming.
Concise reference guide to Python programming. It covers the basics of the language, as well as more advanced topics such as metaprogramming and concurrency.
Provides a comprehensive introduction to data structures and algorithms in Python. It covers a wide range of topics, from basic data structures such as lists and arrays to more advanced topics such as graphs and trees.
Humorous and unconventional guide to Python programming. It covers a wide range of topics, from the basics of the language to more advanced topics such as metaprogramming and concurrency.
Textbook that introduces Python programming in the context of computer science. It covers the basics of the language, as well as more advanced topics such as algorithms and data structures.
Practical guide to machine learning in Python. It covers the basics of machine learning, as well as more advanced topics such as deep learning and natural language processing.
Comprehensive guide to natural language processing in Python. It covers a wide range of topics, from basic NLP tasks such as tokenization and stemming to more advanced topics such as machine translation and sentiment analysis.
Provides a comprehensive introduction to web development in Python. It covers a wide range of topics, from the basics of web development to more advanced topics such as Django and Flask.
Gentle introduction to Python programming. It covers the basics of the language, as well as more advanced topics such as object-oriented programming and data analysis.

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