Python for Beginners 2017
4.6 (369 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
3,411 students enrolled

Python for Beginners 2017

Learn Python-- The Swiss Army Knife of Coding Languages
4.6 (369 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
3,411 students enrolled
Last updated 7/2018
English
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This course includes
  • 5.5 hours on-demand video
  • 1 article
  • 54 downloadable resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
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What you'll learn
  • 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
Course content
Expand all 65 lectures 05:22:17
+ Getting Started
5 lectures 26:28

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!

Preview 08:25

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

Preview 04:46

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.

Preview 06:48

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

Preview 05:22
+ Output
3 lectures 10:38

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.

Section Introduction
00:42

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.

The print() Function
03:54

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

Separators and Newlines
06:02
+ Variables
6 lectures 36:18

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.

Section Introduction
01:05

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.

Variable Assignment
07:50

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

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

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

String Variables
05:11

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

Substrings and Concatenation
08:35

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.

Variables with Lists, Tuples and Dictionaries
06:39
+ Operators
5 lectures 25:51

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.

Section Introduction
01:06

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.

Python Mathemtical Operators
09:20

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

Order of Operations
05:04

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

Python Comparison Operators
05:50

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.

Python Logical Operators
04:31
+ Code Branching
5 lectures 26:16

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.

Section Introduction
00:57

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

Simple If Statements
07:03

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

If.... Else Statements
08:53

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.

Nested If Statements
04:44

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

Ternary Operator
04:39
+ Loops
5 lectures 26:13

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.

Section Introduction
01:03

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

While Loops
08:30

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.

For Loops
06:10

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.

Nested Loops
05:27

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.

Break and Continue Statements
05:03
+ Math Functions
4 lectures 15:45

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.

Section Introduction
00:58

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.

Casting Functions
04:41

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

Mathematical Functions
04:42

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

Random Functions
05:24
+ Python String Functions
4 lectures 14:21

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.

Section Introduction
00:49

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

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

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

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

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

join(), len(), split()
03:01
+ Tuples and Dictionaries
7 lectures 40:02

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.

Section Introduction
01:03

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.

Creating Tuples
04:09

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

Accessing Values in Tuples
06:22

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

Tuple Functions
11:17

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.

Declaring a Dictionary
04:33

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.

Accessing and Editing Values in Dictionaries
05:01

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

Dictionary Functions
07:37
+ Time and Date
4 lectures 12:47

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.

Section Introduction
00:43

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

The Time Tuple
04:50

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

The Calendar
02:03

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

Time and Calendar Functions
05:11
Requirements
  • Students should be comfortable working in the PC or Mac operating system
Description

See why over 350,000 Udemy members learn coding from Mark Lassoff!

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.

Who this course is for:
  • 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