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Learn MorePython Complete: From First Line to First Job
Rating: 4.4 out of 54.4(22 ratings)
87 students
Python Complete: From First Line to First Job
Mastering Python: A Beginner's Journey to Professional Coding
Created byItamar Kamar
Last updated 8/2024
English
What you'll learn
- Learn how to use Python to solve everyday tasks
- Grasp Python fundamentals such as data types and programming control flow
- Learn how to code in Python professionally
- Learn Advanced Python Concepts like time formats and networking!
- Develop Real-World Applications such as a budgeting app, an order processing system, a game of Connect 4, and more!
- Build a portfolio of development projects you can share!
- Embrace Best Coding Practices like developing with Unit Tests
- Develop your logical thinking skills with challenging exercises
- Learn Object Oriented Programming
- Learn how to scrape data from the internet
- Learn how to build your own server!
- Get hands on experience using the most popular tools used in the industry
Explore related topics
Course content
14 sections • 243 lectures • 6h 37m total length
- Introduction2:59
Welcome to the world of Python programming! In this introductory chapter, we'll start by installing Python and setting up our coding environment. We'll cover the basics so you don't need to know anything about coding before starting this course!
Throughout the course, you'll gain the skills to write your own Python programs, work with different types of information, and explore advanced techniques. By completing the course, you'll be equipped to begin working as a developer in Python, create your own programs, and even embark on your entrepreneurial journey by starting your own startup. Get ready to unleash your coding potential and open up a world of possibilities! - Installing Python1:38
We will download and install Python on our devices.
- Installing an IDE (VS Code)2:47
Now that we've installed Python and got it working, let's set up a comfortable working environment that can make coding 10 times faster and easier. We'll learn what and IDE is, what are the most popular IDE's for Python and we'll go ahead and install Visual Studio Code.
If we don't want to install Python, we will learn how to use Google Colab to run Python code on the cloud.
- Intro to VS Code6:36
Now that we've installed VS Code, let's learn how to use it as we're going to be using it throughout the entire course.
- Notebooks vs. Scripts3:18
Throughout this course we will be using notebooks. In this chapter we will learn the difference between a notebook and a script and we will learn the basics of using Python Notebooks.
- Hello World!0:54
In this lesson, students will learn how to write their first Python program, which is the famous "Hello World" program. The chapter will cover how to use the print function to output text to the console.
- Reading Errors1:28
Before we start programming, it's important to understand how to read errors as we are going to run into many errors throughout our programming journey.
- Variables - What Are Variables3:01
Unlock the world of Python variables in this engaging lecture, where we delve into their fundamental role, and learn how to create variables in Python.
- Variables - Data Types3:38
Learn the basic data types Python has to offer.
- Variables - Getting Data Types1:43
Learn how to get the data type of a variable when we don't know it's contents.
- Variables - Changing Variable Types2:45
Learn how and why to change variable data types.
- Variables - Overwriting Variables1:53
Learn how to overwrite variables.
- Strings - Introduction2:16
Dive into Python Strings in this comprehensive chapter, where we unravel the process of creating and modifying strings, using built-in methods, enhancing readability with string formatting techniques, finding and selecting words and or phrases in sentences, and more.
- Strings - Modifying Strings5:17
Learn how to modify strings with Python's built-in functions & methods.
- Strings - String Formatting3:55
Learn how to format strings in a variety of ways to include variable values within them, making your string contents dynamic.
- Strings - Escape Characters2:17
Learn what escape characters are and how they can be useful.
- Strings - Indexing2:38
Learn how strings work behind the scenes and how to select specific characters from within them.
- Strings - Slicing3:02
Learn how to select parts of a string.
- Operators - Arithmetic Operators2:34
Master the diverse range of Python operators in this insightful chapter, where we'll decode arithmetic, assignment, and string operators to add precision and efficiency to our code.
- Operators - Assignment Operators1:10
Learn what assignment operators are and how to use them.
- Operators - String Operators4:54
Learn the different string operators and how they can be useful.
- Booleans - Introduction2:59
Discover the power of Boolean logic in Python in this lesson, exploring how 'True' and 'False' values drive decision-making and control flow in your programs.
- Booleans - Comparison Operators0:56
Learn the full list of comparison operators Python has to offer.
- Booleans - Evaluating Values and Variables1:28
Learn what variables evaluate to when casting them into Booleans.
- Booleans - String Membership Operators1:48
Learn how to use String membership operators for string-based control flow logic.
- Lists - Introduction2:10
Step into the world of Python lists in this interactive chapter, where we explore creating, manipulating, and traversing these versatile data structures to store and manage collections of items in your code.
- Lists - A Coding Example1:21
See Lists in action.
- Lists - Accessing Items0:32
Learn how to access list items.
- Lists - List Attributes1:10
Learn the attributes of lists.
- Lists - List Methods4:14
Learn the most useful and common list methods.
- Lists - Connecting Lists0:52
Learn how to connect and combine lists together.
- Tuples - Introduction0:53
Unlock the potential of Python tuples in this informative lesson, where we dive into the usage and manipulation of these immutable sequences, ideal for grouping related data and ensuring integrity in your code.
- Tuples - Tuple Attributes1:39
Learn the attributes of Tuples.
- Tuples - Adding Items1:45
Learn how to add items to Tuples.
- Tuples - Unpacking Tuples1:40
Learn what the term "unpacking Tuples" means and how to unpack them.
- Sets - Introduction0:33
Discover Python's sets in this enlightening lesson, where we explore these unique, unordered collections of elements that offer powerful operations to handle and process data efficiently.
- Sets - Set Attributes0:58
Learn the attributes of the Set data collection.
- Sets - Accessing Items0:44
Learn how to access set items.
- Sets - Adding Items1:27
Learn how to add items to Sets.
- Sets - Removing Items1:48
Learn how to remove items from Sets.
- Sets - Combining Sets3:17
Learn how to combine sets and other collection types.
- Dictionaries - Introduction1:49
Unveil the capabilities of Python dictionaries in this lesson, diving into these key-value pair data structures that allow you to store and retrieve data with efficiency and ease, enhancing your coding versatility.
- Dictionaries - Dictionary Attributes1:25
Learn the attributes of the Dictionary data collection type.
- Dictionaries - Accessing Items1:44
Learn how to access Dictionary items.
- Dictionaries - Dictionary Methods2:40
Learn the most commonly used dictionary methods and the essentials of using Dictionaries with ease.
- Dictionaries - Adding Items1:58
Learn how to add items to Dictionaries.
- Dictionaries - Removing Items2:15
Learn how to remove items from Dictionaries.
- Dictionaries - Nested Dictionaries3:23
Learn what are nested Dictionaries, how to create them, and how to access them.
- Conditionals - Introduction0:24
Learn how to navigate Python's decision-making pathways in this insightful lesson, where we delve into the use of 'if', 'elif', and 'else' statements to control the flow of our programs.
- Conditionals - The if Statement3:09
Learn about the popular 'if' statement and how to use it in Python.
- Conditionals - The elif Statement1:14
Learn how to check for various conditions using the 'elif' statement.
- Conditionals - The else Statement1:04
Learn how to handle your program's control flow when no condition is met using the 'else' statement.
- Conditionals - Shorthand if statements1:03
Learn how to create if statements in a single line of code.
- Conditionals - Shorthand if...else statements1:14
Learn how to create if...else statements in a single line of code.
- Conditionals - Logical Operators2:21
Learn the complete list of logical operators available for use with conditionals.
- Conditionals - Nested if Statements2:00
Learn how to create nested if statements to handle conditions dependant on other conditions.
- Loops - Introduction0:43
Get ready to loop your way through Python! In this dynamic chapter, we demystify 'for' and 'while' loops, powerful tools that allow you to automate and repeat tasks within your code.
- Loops - While Loops1:56
Learn what 'while' loops are and how to use them to execute a block of code until a condition is met.
- Loops - Using While Loops with Lists1:58
Learn how to use 'while' loops to iterate over list items.
- Loops - Else Statement1:02
Learn how to use the 'else' statement after a loop.
- Loops - For Loops1:16
Learn what 'for' loops are and how to use them.
- Loops - Looping Through Strings0:43
Learn how to use 'for' loops to loop through strings.
- Loops - Looping Through Dictionaries1:01
Learn how to use 'for' loops to loop through Dictionary items.
- Loops - Using the Range Method1:04
Learn how to use the range() method to loop a certain amount of times.
- Loops - The break Statement1:06
Learn what the 'break' statement does and how to use it to break out of loops.
- Loops - The continue Statement1:09
Learn what the 'continue' statement does and how to use it to skip a loop iteration.
- Loops - Nested Loops2:36
Learn how to nest loops within other loops and see an example of it.
- Functions - Introduction0:35
Take your Python skills up a notch in this module as we explore the art of crafting functions - reusable, efficient blocks of code that can perform specific tasks and simplify complex coding challenges.
- Functions - Defining Functions1:05
Learn how to define your own functions.
- Functions - Arguments and Parameters8:26
Learn how to define and use function arguments and parameters in many different scenarios.
- Functions - Returning Values1:34
Learn how to return values from functions, essentially 'exporting' them from the function.
- Functions - Recursion3:07
Learn the complex subject of recursion with a step-by-step example.
- Objects - Introduction2:00
Embark on your Object-Oriented Programming journey with this lesson, where we dive into Python classes and objects, encapsulating data and functions into reusable blueprints to create more complex and robust applications.
- Objects - Defining A Class2:13
Learn how to define new Class blueprints and what a constructor function is.
- Objects - The Self Parameter0:50
Learn about the 'self' parameter and the role it plays within Classes.
- Objects - Creating an Object1:50
Learn how to create an object from the Class blueprint we defined earlier.
- Objects - Accessing Object Attributes0:54
Learn how to access different object's attributes.
- Objects - Modifying Object Attributes0:42
Learn how to modify an object's attribute.
- Objects - Deleting Object Attributes0:42
Learn how to delete an object's attribute.
- Objects - Class Methods1:37
Learn how to create Class methods and use attribute values within these functions.
- Inheritance - Introduction0:53
Unlock the power of inheritance in Python in this immersive lesson, where we explore how to create hierarchical class structures, promoting code reusability and the efficient organization of related classes.
- Inheritance - Example3:26
See an example of inheriting Classes.
- Inheritance - The super() Function3:14
Learn about the super() function and how to use it when inheriting from another Class.
- Inheritance - Adding New Attributes and Methods0:29
Learn how to add additional attributes and methods to inheriting classes.
- Modules - Introduction2:21
Step into the realm of Python modules in this instructive chapter, where we explore how to enhance your codebase by using and creating modular pieces of code, promoting code reusability and neat organization.
- Modules - Internal Modules1:37
Learn how to import and use Python's Internal Modules.
- Modules - External Modules2:37
Learn how to download, install, and use external modules in Python using Pip.
- Modules - Importing Parts of a Module0:36
Learn how to import only parts of a module without importing the entire module.
- Modules - Importing with Aliases0:40
Learn how to import a module using a name alias for it.
- Modules - Custom Modules1:01
Learn how to create and import your own modules.
- Polymorphism - Introduction1:31
Dive into the world of polymorphism in Python in this comprehensive lesson, where we explore how a single interface can take on many forms, enhancing the flexibility and scalability of your object-oriented programs.
- Polymorphism - Class Polymorphism1:29
Learn what Polymorphism looks like in the context of Classes and how to utilize this concept yourself.
- Scope - Local Scope1:36
Demystify the concept of scope in Python in this enlightening chapter, where we delve into local, global, and nonlocal scopes, understanding how they define the visibility and life span of a variable within your modules.
- Scope - Function inside a function2:21
Learn the accessibility of variables with multiple scope layers.
- Scope - Global Scope1:33
Learn what the global scope is.
- Scope - Variables With The Same Name1:05
Learn how to use variables with the same name in different scopes.
- Scope - The Global Keyword1:57
Learn how to change the value of a variable from the global scope from within a local scope with the 'global' keyword.
- Datetime - Introduction1:13
Dive into Python's powerful date and time manipulation capabilities in this insightful lesson, where we explore Python's built-in datetime module to work with dates, times, and their arithmetic effortlessly.
- Datetime - Useful Methods2:04
Learned the most popular and useful methods to manipulate Datetime objects.
- Datetime - Creating a Datetime Object1:08
Learn how to create a Datetime object.
- Datetime - Converting Datetime to String2:36
Learn how to convert a Datetime object into a String.
- JSON - Introduction1:15
Discover the seamless interplay of Python and JSON in this instructive chapter, where we explore how to read, write, and manipulate JSON data, a common format for data interchange on the web.
- JSON - Creating a JSON Object1:05
Learn how to create a JSON type object in Python.
- JSON - Decoding JSON0:50
Learn how to decode a JSON type object in Python to your desired data type.
- JSON - Converting Python Data Types to JSON1:33
Learn how to convert Python data types in to JSON to share them with other computers.
- PIP - Introduction0:37
Unlock the world of Python packages in this hands-on chapter, where we explore the use of pip, Python's package installer, to easily download, install, and manage additional modules that extend your programming capabilities.
- PIP - Installing PIP1:28
Learn how to install pip if it's not already installed in your Python environment.
- PIP - Using Pip2:47
Learn how to use pip to download Python packages.
- PIP - Uninstalling Packages0:59
Learn how to use pip to uninstall python packages from your environment.
- PIP - List All Installed Packages1:00
Learn how to print out and review all the installed packages in your Python envrionment.
- User Inputs - Introduction1:27
Learn how to accept user inputs in Python.
- User Inputs - Casting Input Data Types1:08
Learn how to cast user inputs into your desired data type.
- Try...Except - Introduction2:34
Dive into Python's error handling mechanisms in this essential chapter, where we explore the use of try...except blocks to anticipate and gracefully manage potential errors in your code, thereby increasing its robustness and reliability.
- Try...Except - Catching All Error Types0:53
Learn how to catch all error types.
- Try...Except - Printing The Error Message1:10
Learn how to print an error's message without stopping or breaking your Python script.
- Try...Except - Using the else block1:31
Learn how to combine the 'else' block with Try...Except.
- Try...Except - Using the finally block1:08
Learn what is and how to use the 'finally' block.
- Try...Except - Using the Else and Finally blocks together1:44
Learn the difference of and how to combine the 'else' and 'finally' blocks with a Try...Except statement.
- Try...Except - Raising Exceptions1:19
Learn how to raise exceptions when there are critical errors in the code.
- Try...Except - Input Validation1:49
Learn how to validate and enforce correct user inputs in our programs.
- Logging - Introduction1:07
Unveil the power of Python's logging module in this practical lesson, where we learn to generate informative log messages, crucial for debugging your code and tracking your program's execution flow.
- Logging - Logging Levels2:07
Learn the different levels of logging and the correct use of each of them.
- Logging - Logging Configuration1:11
Learn how to configure your logging object to log at different levels.
- Logging - Logging To Multiple Sources2:27
Learn how to log messages to multiple sources.
- Logging - Using Logger Objects1:20
Learn how to use the logger object professionally.
- Variable Naming Convention1:41
Unravel the importance of variable naming conventions in Python in this crucial lesson, where we explore how meaningful, consistent names can enhance code readability, maintainability, and even prevent bugs in your programs.
- Documentation - Introduction0:28
In this chapter we will learn the importance of documenting our code and also how to properly document our code.
- Documentation - Comments1:04
Learn how to comment your code and how to add comments to your code, improving it's readability.
- Documentation - Docstrings1:38
Learn how to create Docstrings to explain your functions, classes, and modules within the IDE.
- Environment Variables - Introduction0:53
Discover the importance of environment variables in Python in this insightful lesson, exploring how they can securely manage sensitive data like API keys and database credentials, thus enhancing the security and flexibility of your applications.
- Environment Variables - How to Define0:49
Learn how to define environment variables in the .env file or in your notebooks.
- Environment Variables - How to Use1:15
Learn how to load and use environment variables in your code.
- Environment Variables - Why?0:52
Learn why we use environment variables.
- Debugging - Introduction0:29
In this chapter we will learn the important subject of debugging - what it means, the different types of debugging, and how to debug in various scenarios.
- Debugging - Syntax Errors1:03
Learn what syntax errors are and how to identify them in your code.
- Debugging - Runtime Errors1:17
Learn what runtime errors are and how to identify them in your code.
- Debugging - Semantic Errors1:19
Learn what semantic errors are and how to identify them in your code.
- Debugging - Debugging Techniques1:58
Learn various debugging techniques for different scenarios.
- Debugging - Using a Debugger3:07
Learn how to use a debugger in Visual Studio Code to track variables and go through your code line by line.
- Unittesting - Introduction0:49
In this chapter, we will learn the importance of Unit testing when developing and it's crucial role in planning your code.
- Unittesting - Writing Unit Tests1:26
Learn how to write your own unit tests in Python using the unittest module.
- Unittesting - Assertions1:00
Learn what assertations are, how to use them, and the most commonly used assertations.
- Unittesting - Running Unittests2:18
Learn how to run your unit tests after writing them.
- Python Decorators - Introduction3:49
In this chapter, we will dive into the world of Python Decorators, allowing us to add logic to our functions without needing to change their code.
- Python Decorators - Example Timing Execution2:19
Learn how to measure the time it takes to execute a function with python decorators in this practical example.
- Python Decorators - Example Authentication1:44
Learn how to enforce user authentication prior to executing a function, creating function access levels in Python using decorators in this practical example.
- Read Files - Introduction0:41
In this chapter, we will learn how to open, manipulate, and delete files and folders in Python.
- Read Files - Opening Files1:58
Learn how to open files in Python.
- Read Files - Reading the File1:02
Learn how to read contents of files in Python.
- Read Files - Reading Lines1:12
Learn how to read the contents of a file in Python line by line.
- Read Files - Closing Files0:40
Learn the importance of closing files in Python and how to close them.
- Read Files - The with and as statements1:08
Learn how to open files in Python using the 'with' and 'as' statements for better memory conservation.
- Create Files - File Handles1:14
Learn the different file handles available to us in Python.
- Create Files - Creating Files1:02
Learn how to create files in Python.
- Create Files - Write to Existing File1:26
Learn how to write content to an existing file in Python.
- Create Files - Creating Folders0:41
Learn how to create folders in Python.
- Delete Files - Introduction1:11
Learn how to delete files in Python.
- Delete Files - Check if File Exists1:01
Learn how to check if a file or folder exists in Python.
- Delete Files - Delete Folders0:40
Learn how to delete folders in Python.
- Introduction to Databases - Introduction0:57
In this chapter, we will learn what databases are, why we use them, what different types of databases exist, and what databases we will learn and use in this course.
- Introduction to Databases - Relational Databases1:43
Learn what relational databases are.
- Introduction to Databases - MySQL and SQLite0:49
Learn what is MySQL and SQLite and why we will use SQLite for this course.
- Introduction to Databases - When not to use a Database0:36
Learn when to use a database and when not to use one. What is the criteria for using a database?
- Introduction to Databases - SQLite1:15
A short glimpse into SQLite and how it looks in our code.
- CSVs - Introduction0:34
Master the art of handling CSV files in Python in this enlightening chapter, where we delve into reading, writing, and manipulating data using the CSV module, a common requirement in data handling tasks.
- CSVs - Read a CSV File1:27
Learn how to read a CSV file using the 'csv' module.
- CSVs - Read the Data1:09
Learn how to read the data contained within a CSV file with the 'csv' module.
- CSVs - Manually Reading the Data1:28
Learn how to manually read the data contained within a CSV file.
- CSVs - Writing to CSV Files2:02
Learn how to write data contained into a CSV file with the 'csv' module.
- CSVs - Using the DictWriter Class1:14
Learn how to use the Dictwriter class.
- CSVs - Introduction to Pandas1:40
A short introduction to the Pandas module and it's capabilities within Python.
- CSVs - Creating CSV Files with Pandas0:38
Learn how to create CSV files with Pandas.
- Connecting to a Database - Introduction0:55
In this chapter, we will learn how to connect to an SQLite Database in Python and start working with it.
- Connecting to a Database - Creating Tables2:53
Learn how to create a table within a SQL Database.
- Connecting to a Database - Committing Changes0:41
Learn why and how to commit your changes within a Database.
- Connecting to a Database - Installing SQLite Viewer1:06
Learn how to install an extension that allows us to view our database and the items contained within it.
- Connecting to a Database - Setting SQLite Viewer as Default Viewer0:42
Learn how to set our newly installed extension as the default viewer for .db files.
- Inserting Data - Basic Insert2:05
Learn how to insert a single record of data into the Database.
- Inserting Data - Inserting Multiple Records1:39
Learn how to insert multiple records into a Database at once.
- Inserting Data - Viewing Changes0:26
Learn how to observe the changes made to the Database.
- Querying Data - Basic Query1:15
Learn how to retrieve data from a Database in Python using SQL.
- Querying Data - Filtering Data1:16
Learn how to filter data when querying it to avoid selecting more data than we require.
- Querying Data - Ordering and Limiting Results1:28
Learn how to order the data selected and how to limit the amount of data retrieved.
- Querying Data - Aggregating Data1:12
Learn how to aggregate data together in a single SQL query.
- Querying Data - Group By1:34
Learn how to group data together based on common values and attributes.
- Querying Data - Final Notes0:52
A conclusion on what we learned in this chapter and a good source to continue learning SQL further.
- Understanding HTTP - Introduction2:54
Dive into the HTTP protocol, learning how computers communicate with each other and how webpages interact with servers. This is a crucial and fundamental subject to understand websites and APIs.
- Understanding HTTP - Key Concepts2:49
Learn the key concepts related to HTTP, which are crucial for this chapter.
- HTTP Requests - Request Structure1:52
Learn how HTTP requests are structured, how to read them, and how to create them.
- HTTP Requests - GET Request1:56
Learn how to send HTTP GET requests in Python.
- HTTP Requests - POST Request1:34
Learn how to create and send HTTP POST requests in Python.
- Status Codes - Status Codes Meanings3:34
Learn the different status code classifications and the meanings of the most common ones.
Requirements
- No prior programming experience needed.
- A computer with internet access.
- Eagerness to learn and explore programming concepts.
Description
Learn how to program in Python, one of the most requested skills by employers in 2023! Junior Python developers earn over $70,000 on average in their first job!
Dive into the world of Python with "Python Complete, From First Line to First Job," a course meticulously crafted for absolute beginners. This journey starts from the ground up, from installing Python on your personal computer and introducing you to the fundamentals of programming with Python, a language renowned for its simplicity and versatility. You'll gain hands-on experience with real-world exercises whilst exploring various facets of Python including:
Variables
Data Structures
Control Flow
Object-Oriented Programming
Modules
Unit Tests
Scopes
Debugging
Environment Variables
Files
Databases
CSVs
HTTP Requests
Web scraping
Servers
and much more!
The course unfolds Python's extensive capabilities, from File Handling and Database Management to mastering HTTP Requests and HTML for web scraping. You'll not only learn to code but also embrace best coding practices, ensuring your journey from a novice to a skilled programmer is smooth and efficient. The course integrates practical projects like building games, a library management system, and a weather forecast program, ensuring you apply what you learn in engaging real-world scenarios
As you progress, you'll delve into Version Control with Git, understand the basics of servers and APIs, and even get a glimpse of deploying a server on AWS, preparing you for the professional world of software development. By the end of this course, you'll have the confidence and skills to tackle real-world problems with Python, opening doors to a thriving career in coding.
If you're looking to start a new career in the world of development, data science, or AI, or even if you're just looking to add another skill to your toolset to enhance your capabilities for your current career - this is the course for you!
This course provides you with lifetime access to over 200 lectures along with notebooks to follow through the lectures.
Instead of doing a course with over 20 hours of lectures, try this course which covers everything you need to know to be a professional Python programmer in under 7 hours! And no, this course isn't missing any subjects compared to other courses, go ahead and see for yourself
So what are you waiting for? Start learning Python and make your dreams come true today!
Who this course is for:
- Absolute beginners to programming.
- Individuals looking to switch careers into software development.
- Students and hobbyists interested in learning Python from scratch.
- Professionals seeking to enhance their coding skills with Python.
- Developers looking to learn a new coding language.
- Non-professional Python developers who want to upgrade their skills.