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If you want to master Python, it’s not necessary. Many online courses are free. Studying in this article, I was honestly surprised by the quality and selection of free Python online courses. These are my recommendations.
# 1. Python Full course for beginners (Dave Gray)
- Platform: YouTube
- Level: Beginner
- Why take it: Ideally, if you start from scratch and want one movie to build a robust foundation.
What you will learn: This course Dave Gray Includes the following topics:
- Basic syntax and logic of Python: variables, data types, operators, conditions, Loopsand user input data.
- Functions and data: functions, scope, recursion, lambda functions and common data structures Like letters, dictionaries, shorts and sets.
- File and module operations: Reading/writing files, using external modules, command line arguments and configuring virtual environments.
- Object-oriented programming (OOP): classes, objects, exceptions and mini-design for application OOP concepts.
- Practical coding practice: challenges during the course to strengthen what you learn.
At the end of the movie, there is also a final project in which you can complete, in which you will build an internet application Flask.
# 2
- Platform: YouTube
- Level: Beginner
- Why take it: it’s a 4-hour emergency course without fluff, just straightforward explanations of the basic Python topics for beginners.
What you will learn: This The course explains the following concepts:
- Python bases: variables, data types, tractors, numbers, user input and basic control flow (if, loops, comparisons).
- Data structures and functions: letters, shorts, dictionaries, functions, feedback values and nested structures.
- Designs and games: build interactive programs such as calculators, Mad libsGuessing games and quizzes.
- Files, modules and environmental configuration: Read/Save files, utilize modules and pipand work with Pycharm and translator Python.
- Object programming: Create class, utilize methods, utilize heritage and organize the code using OOP.
- Error service and comments: Write Immaculate, more reliable code with a sample/in addition to documentation and built -in.
# 3. Python full course (BRO code)
- Platform: YouTube
- Level: Beginner
- Why take this: the BRO code includes the basics of Python in a rapid, senseless format. His visual examples and tiny exercises make it easier to follow.
What you will learn: This The course teaches you:
- Basic Python programming: variables, typeing, user entry, mathematical operations, string methods, indexing, conditional conditions, loops and logical operators.
- Functions and advanced syntax: Functional arguments (*ARGS, ** Kwargs), decorators, understanding letters, Menki instructions, range resolution and modules.
- Object -oriented programming: classes, heritage (including multiples), polymorphism, immobile/class methods, magical methods, writing @property and ducks.
- Data structures and control flow: letters, sets, shorts, dictionaries, 2D collections, iterable and member tests.
- Working with files and exceptions: file reading/saving operations, file detection, exceptional handling and working with dates and hours.
- MultititRetading and API: Run concrete code, interact with API interfaces and download external data (e.g. weather application).
- GUI development with Pyqt5: Learn the basics of GUI, such as system managers, widgets (buttons, selection fields, inputs), CSS stylization and build interactive computer applications.
- Designs and practice in the real world: build over 15 mini-launches, such as calculators, games (CornerIN Rock feed), Encryption tools, banking applications, digital clocks and many others.
# 4. Introduction of CS50 for programming with Python (Harvard)
- Platform: EDX
- Level: Beginner to indirect
- Why take it: emphasizes problem solving and pure code writing; It only goes beyond the teaching of syntax.
What you will learn: this Harvard video course Includes the following topics:
- Programming basics: functions, variables, conditional conditions, loops and exceptional service.
- Working with files and text: File input/output and basics of regular expressions.
- Modular, testing code: using libraries and writing unit tests.
- OOP: Learn to utilize classes and facilities to build code.
For each topic there is a main film and lecture shorts. You give the problem at the end of each lecture, as well as the final project to complete.
# 5. Automatize monotonous things with Python (Al Sweigart)
- Platform: Automatize monotonous things
- Level: Beginner to indirect
- Why accept it: this book is available free of charge by its author. He teaches Python by automating repetitive computer tasks, which makes him practical and immediate application to real life.
What you will learn: by Reading this bookYou will learn:
- Basic programming skills: Python basics, flow control, loops, functions, debugging and work with letters, dictionaries and strings.
- Text processing and files: regular expressions, We/O, File, CSV/JSON/XML, PDF and verbal documents as well as textual manipulation.
- Automation and scripts: build commands tools, plan tasks, control the keyboard/mouse and interactions with websites and e-mail messages.
- Data from external sources: Internet scraping, Google sheets, Excel and Sqlite database.
- Building interactive programs: send notifications, generate charts, process images, utilize speech engines and do OCR (text recognition in images).
# 6. Learn Python
- Platform: Kaggle
- Level: Beginner to indirect
- Why take it: tiny interactive lessons with data in the real world. Particularly useful if you are heading towards data or machine learning.
What you will learn: This course teaches the following concepts:
- Basics of Python: syntax, variable assignment, numerical operations and basic data types such as letters, strings and dictionaries.
- Control flow and logic: boolens, conditional conditions, loops and understanding of lists.
- Functions and modular code: Operate built -in functions and define your own for reusable, immaculate code.
- Working with libraries: import and utilize external Python libraries to expand programs.
# 7. Scientific calculations with Python
- Platform: Freecodecamp
- Level: Beginner to indirect
- Why take it: this Python course is part of the basic FreeCodecamp certification path. It is interactive, based on a browser and includes learning through projects.
What you will learn: This comprehensive course consists of the following modules and projects:
- Basic programming concepts: work with strings, numbers, conditions and functions through practical projects such as ciphers, arithmetic formators and time calculators.
- Algorithms and logic building: Apply algorithmic thinking with Luhn algorithmIN BISECATION METHODIN The shortest pathrecursion (Hanoi tower), And Traversal trees.
- Data structures and understanding: utilize a letter, letter and trees, while solving real problems such as conversion of cases and binary trees.
- Object programming: Classes Build, utilize encapsulation, special methods and interfaces in projects such as Solver Sudoku, vector space and solver of equations.
- Regular expression and tools: learn and usability methods through construction tools such as password generator and probability calculator.
# 8. Python tutorial
- Platform: W3Schools
- Level: Beginner to advanced
- Why take it: interactive, rapid and uncomplicated to follow, covering a very wide range of Python topics.
What you will learn: This tutorial will lead you through the following concepts:
- Basic syntax and Python logic: variables, data types, operators, conditions (IF, matching), loops, functions, lambdas and range.
- Data structures and collections: letters, shorts, sets, dictionaries, boards and iterators.
- Object programming: classes, heritage, polymorphism and modular code design.
- Practical tools and work flows: files, string formatting, user entry, virtual environments, exceptional service and work with dates, mathematics, JSON and regular expressions.
- Popular libraries and frames: NumbersIN PandyIN CutsIN Food PtolibIN Djangoand basics of machine learning.
- Integration of databases and facilities: interaction with Mysql AND Monodb Using Python.
- Basics of computer science: algorithms, data structures and the way they apply in Python.
# 9. Python Google class
- Platform: Google for Education
- Level: indirect
- Why take it: practical course with notes and exercises from lectures for download created by Google engineers.
What you learn: This course includes the following topics:
- Basic data support: strings, letters, shorts, dictionaries and sorting techniques.
- File and text processing: Reading/writing files and working with regular expressions.
- System and internet tools: using operating system commands, URL/HTTP addressing and exception management.
# 10. Introduction to computer science and programming in Python
- Platform: OpenCurseware myth
- Level: indirect to advanced
- Why accept it: this is a very respected course of three MIT professors. Provides 12 video lessons, lecture slides and code, video solutions and problems.
What you will learn: course Includes the following topics:
- Calculation basics: understanding how computers solve problems with logic, branching and iteration.
- Basic programming skills: string manipulation, functions, recursion, letters, shorts and dictionaries.
- Program design and structure: distribution, abstraction, variability, cloning and object -oriented programming with classes and heritage.
- Problem solving techniques: approximation, guessing and checking, division, searching and sorting.
- Writing credible code: learn to test, debug, handle exceptions, statements and performance analysis.
# Application
Thanks to these ten online courses, you guarantee Python’s high quality knowledge. Fortunately, you don’t need money for it – just some time and effort.
Nate Rosidi He is a scientist of data and in the product strategy. He is also an analytical teacher and the founder of Stratascratch, platforms lend a hand scientists to prepare for interviews with real questions from the highest companies. Nate writes about the latest trends on the career market, gives intelligence advice, divides data projects and includes everything SQL.