Python programming

Steps

Getting started

1. 1 Install and run PythonInstall Python, run the interactive interpreter and execute your first script so you can experiment with every concept that follows.

   • Python Insider python.orgfree

     Official releases, core developer discussions, and steering council updates from the Python development community.

   • Python Documentation docs.python.orgfree

     Official documentation for the Python language, including the tutorial, language reference, standard library reference and platform-specific usage guides.

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2. 2 Variables, types and control flowLearn variables, strings, numbers, conditions and loops, the building blocks every Python program is made of.

   • Python for Everybody py4e.comfree

     Free beginner course and open textbook teaching programming with Python, data structures, web data and databases.

   • The Python Tutorial docs.python.orgfree

     The official introduction to Python, covering syntax, data structures, modules, errors and classes for new programmers.

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3. 3 Functions, data structures and filesOrganise code into functions and modules, work with lists and dictionaries, and read and write files on disk.

   • The Python Tutorial docs.python.orgfree

     The official introduction to Python, covering syntax, data structures, modules, errors and classes for new programmers.

   • Python for Everybody py4e.comfree

     Free beginner course and open textbook teaching programming with Python, data structures, web data and databases.

   I finished this step

Writing good Python

1. 4 Code style with PEP 8Follow the official naming, layout and formatting conventions so your code is easy for others, and yourself, to read later.

   • PEP 8: Style Guide for Python Code peps.python.orgfree

     The official style guide for Python code, describing naming, layout and conventions that keep code readable.

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2. 5 The standard libraryExplore the modules that ship with Python, from dates and paths to JSON and regular expressions, before reaching for extra packages.

   • Python Documentation docs.python.orgfree

     Official documentation for the Python language, including the tutorial, language reference, standard library reference and platform-specific usage guides.

   I finished this step
3. 6 Shell and version control (optional)Get comfortable with the terminal and Git so you can run scripts, track changes and share your projects.

   • The Missing Semester of Your CS Education missing.csail.mit.edufree

     Free practical computer science course by MIT teaching shell tools, editors, version control, and computing environment mastery.

   • Git Documentation & Pro Git Book git-scm.comfree

     Official comprehensive documentation manual, tutorials, and full online text of the Pro Git book.

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Practical projects

1. 7 Automate everyday tasksWrite small programs that rename files, fill spreadsheets, scrape web pages and send emails, turning concepts into useful tools.

   • Automate the Boring Stuff with Python automatetheboringstuff.comfree

     Free online book that teaches Python through practical automation of files, spreadsheets, web pages and everyday tasks.

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2. 8 Packages and virtual environmentsInstall third-party libraries with pip inside isolated virtual environments so each project keeps its own dependencies.

   • Python Packaging User Guide packaging.python.orgfree

     Official guide to installing, building and distributing Python packages, covering virtual environments, pip, project metadata and publishing to the package index.

   • pip pip.pypa.iofree

     Standard package installer for Python, used to install and manage libraries from the Python Package Index and other sources, with full user documentation.

   • PyPI - The Python Package Index pypi.orgfree

     Official repository database for third-party software and packages developed for the Python programming language.

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3. 9 Publish your own package (optional)Structure a project, describe its metadata and build a distribution so others can install your code from the package index.

   • Python Packaging User Guide packaging.python.orgfree

     Official guide to installing, building and distributing Python packages, covering virtual environments, pip, project metadata and publishing to the package index.

   • PyPI - The Python Package Index pypi.orgfree

     Official repository database for third-party software and packages developed for the Python programming language.

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Into data science

1. 10 Practise with real datasetsLoad public datasets and answer simple questions with Python, building the habit of exploring data before modelling it.

   • Kaggle Datasets kaggle.comfree

     Community platform offering thousands of open datasets, code notebooks, and benchmarks across business analytics and predictive modeling.

   • UCI Machine Learning Repository archive.ics.uci.edufree

     A prominent academic archive providing benchmark empirical datasets for evaluating predictive and classification algorithms.

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2. 11 Machine learning with scikit-learnTrain and evaluate classic models such as regression and decision trees with a consistent, well-documented Python library.

   • scikit-learn scikit-learn.orgfree

     A Python library featuring efficient tools for predictive data analysis, classification, regression, and clustering.

   • fast.ai fast.aifree

     A research and educational organization providing free, practical courses on deep learning and applied data science.

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3. 12 Follow the language (optional)Keep up with new Python releases and core development news to learn features as they arrive in the language.

   • Python Insider python.orgfree

     Official releases, core developer discussions, and steering council updates from the Python development community.

   I finished this step