Duration of the online course: 65 hours and 36 minutes
Python for Complete Beginners is the ultimate starting point for individuals keen on learning Python, one of the most popular programming languages today. This comprehensive course lasts a total of 65 hours and 36 minutes, rigorously covering the essential elements and advanced topics within Python. Garnering an impressive average rating of 5 stars, this course stands out for its quality and depth in the field of Information Technology, specifically under the Programming Languages subcategory.
From the very basics of setting up your Python environment on both Mac and Windows, to more intricate subjects like web scraping, concurrency, and working with APIs, this course truly leaves no stone unturned. The course is meticulously structured to start from the ground up, making sure that even those without any prior programming experience can follow along and grasp fundamental concepts such as strings, numerical operations, lists, tuples, sets, and dictionaries.
As you progress, you’ll delve into conditionals, loops, and iterations which form the backbone of decision-making and repetitive task automation in programs. Functions and modularity are given significant focus, enabling you to write more efficient and reusable code. Furthermore, setting up development environments in popular text editors and IDEs like Sublime Text, Atom, and Eclipse is thoroughly covered to ensure you have a robust workspace.
Advanced topics like virtual environments, package management, and detailed explorations of various Python libraries and modules will prepare you for real-world programming challenges. Whether you're dealing with string formatting, file I/O, or managing date and time data, this course equips you with the knowledge and practical skills needed to excel.
Apart from script writing and automation, the course emphasizes data handling and manipulation using modules such as CSV and JSON. Essential programming practices like error handling, decorators, and comprehensions—vital for writing clean and efficient code—are also integral parts of the curriculum.
Moreover, the course paves the way towards web development using Flask and Django frameworks. Step-by-step, you’ll create full-featured web applications, manage user authentication, handle databases, and deploy your applications using various hosting services. The tutorial series on these full-stack frameworks also covers updates, pagination, custom error pages, and more.
Dedicated sessions on data visualization with Matplotlib, and data analysis with Pandas provide a bridge to data science. You will learn how to plot data, analyze datasets, and work with time-series data, laying the groundwork for more complex data science projects.
The course wraps up with Python's threading and multiprocessing capabilities, calls to external commands, and working with zip files—ensuring you gain a holistic understanding of Python’s versatile uses. Additionally, the course provides various quick tips and real-world examples, helping you to write better code and avoid common mistakes. From learning how to hide passwords to managing multiple Python environments and using the latest tools, this course is designed to make you proficient in Python programming.
Video class: Python Tutorial for Beginners 1: Install and Setup for Mac and Windows
15m
Exercise: What command can you use in the terminal to check the version of Python installed on your system?
Video class: Python Tutorial for Beginners 2: Strings - Working with Textual Data
21m
Exercise: What can cause an error when handling strings with single quotes in Python?
Video class: Python Tutorial for Beginners 3: Integers and Floats - Working with Numeric Data
11m
Exercise: What is the result of 3 modulo 2 in Python?
Video class: Python Tutorial for Beginners 4: Lists, Tuples, and Sets
29m
Exercise: Which Python data type allows for unordered collections with no duplicates?
Video class: Python Tutorial for Beginners 5: Dictionaries - Working with Key-Value Pairs
09m
Exercise: Which of the following actions can be performed using dictionary methods in Python?
Video class: Python Tutorial for Beginners 6: Conditionals and Booleans - If, Else, and Elif Statements
16m
Exercise: What is the purpose of the 'and' keyword in Python conditionals?
Video class: Python Tutorial for Beginners 7: Loops and Iterations - For/While Loops
10m
Exercise: What is the difference between 'break' and 'continue' in loops?
Video class: Python Tutorial for Beginners 8: Functions
21m
Exercise: What is a key benefit of using functions in programming as mentioned in the video?
Video class: Python Tutorial for Beginners 9: Import Modules and Exploring The Standard Library
21m
Exercise: What does the 'import *' syntax do when importing modules in Python?
Video class: Setting up a Python Development Environment in Sublime Text
26m
Exercise: What is one of the primary purposes of the 'Package Control' in Sublime Text?
Video class: Setting up a Python Development Environment in Atom
23m
Exercise: What is one advantage of using Atom over Sublime Text for setting up a Python development environment?
Video class: Setting up a Python Development Environment in Eclipse
16m
Exercise: What is the purpose of the PyDev plugin in Eclipse IDE for Python development?
Video class: Python Tutorial: pip - An in-depth look at the package management system
09m
Exercise: Which command would you use to generate a requirements file listing all installed packages with their version numbers in a format suitable for sharing?
Video class: Python Tutorial: virtualenv and why you should use virtual environments
09m
Exercise: What is the primary use of virtual environments in Python?
Video class: Python Tutorial: Anaconda - Installation and Using Conda
11m
Exercise: What is a primary benefit of using Anaconda for data science?
Video class: Python Tutorial: How I Manage Multiple Projects, Virtual Environments, and Environment Variables
20m
Exercise: What tool is primarily used to create and manage Python virtual environments in the video?
Video class: Jupyter Notebook Tutorial: Introduction, Setup, and Walkthrough
30m
Exercise: What is one of the key benefits of using Jupyter notebooks?
Video class: Python Tutorial: Variable Scope - Understanding the LEGB rule and global/nonlocal statements
20m
Exercise: How can you modify a global variable within a Python function?
Video class: Python Tutorial: Slicing Lists and Strings
10m
Exercise: How do you perform reverse slicing on a list in Python?
Video class: Python Tutorial: Comprehensions - How they work and why you should be using them
18m
Exercise: What is a main advantage of using list comprehensions in Python?
65 hours and 36 minutes of online video course
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Course comments: Python for complete beginners
Digar singh Rautela
amazing teaching style
Kalyani Jadhav
this course is very good for beginners it provides all information about our course and understanding levels is very nice
David Skea
teaching is very easy to understand the way he does it
Nazim Afridi
How can I download it please replay