Python for Beginners 2017 - Udemy

LearnToProgram, Inc., Learn Web, Mobile and Game Development , Udemy

Course Description

See why over 350,000 Udemy members learn coding from Mark Lassoff and LearnToProgram.tv!

Few programming languages provide you with the flexibility and pure power of Python.

If you're becoming a professional developer, or are early in your development career, adding the Python skill set isn't just a resume embellishment-- It's an empowering language that will allow you to write procedural code in many types of environments and for many uses.

Python is commonly used for server side programming for complex web applications or as a middle tier language providing web services or a communication layer with larger ecommerce systems. That being said, it's also a great language for beginners. The clear syntax makes it very easy to learn, and the powerful libraries make all types of programming possible. There are libraries for everything from games and graphics to complex mathematics to network and embedded programming.

Watch, Learn and Do

Programming is not a spectator sport and if you want to learn Python well, this course contains everything you need.

Skill oriented instructor-led lectures will demonstrate each important Python skill. You'll be able to study and modify the code on your own to cement each topic. Python code coding lab exercises will familiarize you not just with Python syntax, but how real problem-solving in Python is done. You'll complete a more comprehensive project to help you integrate the different skills that are part of core Python.


What are the requirements?

  • Students should be comfortable working in the PC or Mac operating system

What am I going to get from this course?

  • How to use the Python Shell
  • How to use interactive mode in Python
  • How to develop and run programs in the IDLE editor
  • How to run Python scripts directly from the command line
  • How to use the print() function
  • How to use separators and new line characters to modify command line output
  • Assign variables of different types
  • Understand integer, floating point, complex and string variables
  • Be able to extract substrings
  • Easily concatenate strings
  • Create Lists and Tuples
  • Create key value pairs and store them in dictionaries
  • Understand mathematical operators used in Python
  • Apply the order of operations to mathematical operations
  • Utilize comparison operators to determine logical outcomes
  • Use logical operators to join comparisons
  • Write conditional statements to correctly branch code
  • Use If, else and else if statements to apply branching
  • Understand how and when to used nested if statements
  • Use the shortcut Ternary operator
  • Be able to use looping structures effectively
  • Create While loops
  • Be able to use For loops to loop through an objects properties
  • Be able to construct nested loops and understand their utility.
  • Cast variables from one type to another using built-in Python functions
  • Use the Mathematical functions within Python to evaluate expressions
  • Randomize numbers and selections with the Randomization tools
  • Use Python String functions such as find(), join() and split()
  • Create immutable tuples
  • Access values within tuples
  • Use tuple functions to manipulate tuple data
  • Declare a dictionary and populate it with key/value pairs
  • Access and edit values within dictionaries
  • Extract date and time information from the time tuple
  • Use the calendar object to work with calendar related information
  • Create custom functions
  • Send arguments to functions using order or keyword
  • Create default function arguments
  • Read and obtain keyboard input
  • Read from a text file and process the data in Python
  • Write to a text file from Python
  • Append to a text file
  • Handle exceptions with try/except/else in Python
  • Use Python within the cgi-bin or a web server
  • Process form data from Python

Who is the target audience?

  • First time Python programmers
  • Students and Teachers
  • IT pros who want to learn to code
  • Aspiring data scientists who want to add Python to their tool arsenal

Curriculum

Section 1: Getting Started Section 2: Output Section 3: Variables Section 4: Operators Section 5: Code Branching Section 6: Loops Section 7: Math Functions Section 8: Python String Functions Section 9: Tuples and Dictionaries Section 10: Time and Date Section 11: Python Functions Section 12: Input/Output Section 13: More with Python
Lecture 1 About the Instructor Preview 01:07
Lecture 2 Quick Start: Writing Your First Python Program Preview 08:25

Hit the road running and write your very first Python program in this first section. Even if you've never written a line of code before, this section will get you coding in Python!

Lecture 3 Using the Shell Window Preview 04:46

The IDLE environment includes the shell window and interactive mode. We'll try working in interactive mode in this section of the course.

Lecture 4 Writing Code in the Editor Window Preview 06:48

You'll spend most of your time coding in the code editor window. In this section, you'll join Mark, as he creates a program in the code window and executes it.

Lecture 5 Executing Python on the Command Line Preview 05:22

Remember the old "C" prompt? We're actually going to use it to compile and run our Python code.

Lecture 6 Section Introduction 00:42

For the user to see results of a Python program, you have to understand output. We're going to look at command line output in this section.

Lecture 7 The print() Function 03:54

There's a bit more than meets the eye when it comes to the print() function. We'll take a thorough look at print() output in this segment of the course.

Lecture 8 Separators and Newlines 06:02

You can take more control of command line output by using separators and newline characters. Mark will demonstrate them in this section

Lecture 9 Section Introduction 01:05

You probably remember variables from your high school algebra class. Solve for 'x' was a common instruction. We'll be talking about variables and how they related to Python programming in this section of the course.

Lecture 10 Variable Assignment 07:50

When you first create a variable and provide it a value the process is known as "variable assignment". Mark will demonstrate the process in this video.

Lecture 11 Number Variables (Int, float and complex) 06:58

Python handles several types of values. We'll survey integers, floating point numbers and complex numbers in this section.

Lecture 12 String Variables 05:11

One of Python's strengths is the ability to process strings. You'll learn how to use string variables in Python in this segment of the course

Lecture 13 Substrings and Concatenation 08:35

Python let's you easily manipulate substrings and concatenate strings. Mark will show you how in this course video.

Lecture 14 Variables with Lists, Tuples and Dictionaries 06:39

Variables can hold single values, but also more complex structures such as lists and tuples. We'll introduce the concepts of lists and tuples in this section.

Lecture 15 Section Introduction 01:06

Operators are used to complete arithmetic, make decisions and much more in coding. Mark will review all of the common operators in Python during this section.

Lecture 16 Python Mathemtical Operators 09:20

Let Python do the math for you. You'll see a few mathematical operators you're familiar with-- and a few you're not in this section.

Lecture 17 Order of Operations 04:09

PEDMAS. The order of operations is important to understand when working with mathematics in Python.

Lecture 18 Python Comparison Operators 05:50

In order for programs to make decisions, we have to make comparisons. You'll learn about the comparison operators in this video lecture.

Lecture 19 Python Logical Operators 04:31

The logical operators AND and OR are used for making compound and complex evaluations in Python. You'll learn how to apply the skill in this section.

Lecture 20 Section Introduction 00:57

Branching is decision making in Python code. The program will follow one path-- or another-- based on evaluating a condition. Mark will explain several types of conditional statements in this chapter.

Lecture 21 Simple If Statements 07:03

Basic branching logic in Python starts with the if statement. You'll learn how to use if in this video.

Lecture 22 If.... Else Statements 08:53

The introduction of the else statement to conditional logical allows you to code for multiple outcomes when Python code is evaluating a condition.

Lecture 23 Nested If Statements 04:44

Sometimes when coding, logic requires one if statement to live inside another. These are known as nested if statements and Mark will show you how to use them in this segment.

Lecture 24 Ternary Operator 04:39

Impress your coder friends by using this shortcut if/else structure.

Lecture 25 Section Introduction 01:03

Loops allow a section of code to be repeated based on evaluating some condition. Many processes in programs are within loops. A program that deals cards uses loops, as do word processors, spreadsheets and games.

Lecture 26 While Loops 08:30

While loops are Python's primary looping structure. You'll learn how to create while loops in this course segment.

Lecture 27 For Loops 06:10

For loops in Python are a bit different than for loops in most other programming languages. Watch this video and learn how useful Python's for loop is.

Lecture 28 Nested Loops 05:27

Just like if statements, program logic sometimes calls for loops to be nested inside one another. You'll see exactly hows nested loops work in this video.

Lecture 29 Break and Continue Statements 05:03

The break and continue statements give you, as the Python programmer, more control over loop execution. You'll learn how to use break and continue in this video.

Lecture 30 Section Introduction 00:58

Python has a suite of built-in math functions that make complex calculations easy. We'll be looking at functions in the math library in this course chapter.

Lecture 31 Casting Functions 04:41

Often when coding you'll have to change a value from a float to a string or string to an integer. The casting functions will show you how to do this. Mark demonstrated casting in this video.

Lecture 32 Mathematical Functions 04:42

You'll learn some of the advanced math functions that are available in Python.

Lecture 33 Random Functions 05:24

Python has a great suite of randomization tools. You'll learn how to use several randomization functions in this video lecture.

Lecture 34 Section Introduction 00:49

Python is frequently used for string manipulation and processing. Many who work with large amounts of data complete string processing in Python. We'll demonstrate some of Python's string functions in this chapter.

Lecture 35 capitalize(), center() and count() 05:53

Mark demonstrates three string functions found in the Python programming language.

Lecture 36 find(), isalpha(), isdigit() 04:38

You'll learn find() and two other important String functions.

Lecture 37 join(), len(), split() 03:01

You'll learn how to do some String manipulation with the powerful join() and split() functions.

Lecture 38 Section Introduction 01:03

Tuples and dictionaries are data structures within the Python environment that allow you to store more complex data. You'll find these used frequently by Python developers because there are many convenient functions that can be used to manipulate data stored in these structures.

Lecture 39 Creating Tuples 04:09

Tuples are lists that cannot be changed once stored. Tuples are often used to store non-dynamic information that is needed through the lifetime of a Python script.

Lecture 40 Accessing Values in Tuples 06:22

Once stored, the data in a tuple can be accessed and retrieved. Mark demonstrates in this video lecture.

Lecture 41 Tuple Functions 11:17

In this section you'll learn some of the functions that you can use with Tuples.

Lecture 42 Declaring a Dictionary 04:33

Dictionaries provide the opportunity to store key-value data about a single entity in a single object. You'll learn how to use dictionaries in this section.

Lecture 43 Accessing and Editing Values in Dictionaries 05:01

Once you've created a dictionary, you're going to need to access, edit and delete values in the dictionary. Mark shows you how in this section of the course.

Lecture 44 Dictionary Functions 07:37

Like other objects in Python, Dictionaries have a number of functions that make manipulating dictionary data easier. You'll learn how in this section.

Lecture 45 Section Introduction 00:43

Programmers frequently have to work with times and dates. Python has a number of tools to assist you with time and date information. In this section you'll learn some of the time and date functions available in Python.

Lecture 46 The Time Tuple 04:50

The time tuple provides information about the current time and date. You'll access it in this section of the course.

Lecture 47 The Calendar 02:03

The calendar object allows you to manipulate calendar data. Mark explains in this section of the course.

Lecture 48 Time and Calendar Functions 05:11

The time and calendar utility functions in Python will help you work with time and date data in the language.

Lecture 49 Section Introduction 01:04

You've already used a number of built-in Python functions. In this sections you'll learn how to create custom functions and tie them together as a module.

Lecture 50 Defining and Calling a Simple Function 05:44

You'll learn how to create a simple function and how to call that function from other parts of your script.

Lecture 51 Required Argument Functions 08:17

Required argument functions require data to be passed to the function for processing. Mark will demonstrated in this section.

Lecture 52 Keyword Argument Functions 06:02

Keyword argument functions allow you to label arguments with keywords instead of depending on the order of the keywords for processing in a function.

Lecture 53 Default Function Arguments 09:24

Default arguments in function provide a default value for arguments passed in to the function. You'll learn how to create default arguments in this section of the course.

Lecture 54 Return Statement 05:51

The return statement allows your functions to return a value or object to the caller.

Lecture 55 Creating and Consuming Python Modules 05:31

Modules can be helpful for organizing your code in to logical packages. You'll learn how to create and import custom modules in this section.

Lecture 56 Section Introduction 00:55

Learn how Python can communicate beyond the shell. In this section you'll learn how Python can receive input from the keyboard and communicate with external files.

Lecture 57 Reading Keyboard Input 07:05

Once you can take and process input from the keyboard you can create programs that interact with the user. Mark demonstrates in this video lecture.

Lecture 58 Reading an External Text File 08:13

Python makes it easy to read external text files. You'll learn how in this section of the course.

Lecture 59 Writing an External Text File 08:31

The same file pointer object that lets you read external files lets you write external files. We'll save data to a text file in this section of the course.

Lecture 60 Section Introduction 01:00

In this last section of the course, we'll look at a couple of more Python features that are used by professional Python developers

Lecture 61 Handling Exceptions 05:30

Exceptions are generated when an unexpected condition occurs at runtime. Mark will teach you to work with exceptions in this section.

Lecture 62 Web Server Coding with Python 07:50

Python code can be used in the cgi-bin of a web server. You'll learn how to use Python on the web in this section of the course.

Lecture 63 Processing Form Data in Python 04:37

Python is frequently used to process information from an HTML form. Mark will show you both the HTML and the Python in this section.

Lecture 64 Wrap up and Goodbye 01:26

Thanks for taking the course. Say goodbye to your favorite Python instructor in this last section.

Dates:
  • Free schedule
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  • Language: English Gb

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