Mô tả

Whether you want to:

- build the skills you need to get your first Python programming job

- move to a more senior software developer position

- get started with Machine Learning, Data Science, Django or other hot areas that Python specialises in

- or just learn Python to be able to create your own Python apps quickly.

…then you need a solid foundation in Python programming. And this course is designed to give you those core skills, fast.

This course is aimed at complete beginners who have never programmed before, as well as existing programmers who want to increase their career options by learning Python.

The fact is, Python is one of the most popular programming languages in the world – Huge companies like Google use it in mission critical applications like Google Search.

And Python is the number one language choice for machine learning, data science and artificial intelligence. To get those high paying jobs you need an expert knowledge of Python, and that’s what you will get from this course.

By the end of the course you’ll be able to apply in confidence for Python programming jobs. And yes, this applies even if you have never programmed before. With the right skills which you will learn in this course, you can become employable and valuable in the eyes of future employers.

Here’s what a few students have told us about the course after going through it.

“I had very limited programming experience before I started this course, so I have really learned a lot from the first few sections. It has taken me from essentially zero programming skill to a level where I'm comfortable using Python to analyze data for my lab reports, and I'm not even halfway done the course yet. There are other courses out there which focus on data analysis, but those courses are usually targeted at people who already know how to program which is why I chose this course instead. “ – Christian DiMaria

“I have been puttering through your Python course . In that time, though, and without finishing it yet I've been able to automate quite a bit at my work. I work in a school system and unifying data from our various student information systems can be incredibly frustrating, time consuming, and at times challenging. Using your course, I've learned enough to write applications that turn massive text files into dictionaries that get "stitched" together like a database and output to properly formatted CSV files and then uploaded via SFTP to various systems for secure processing. Our teachers, students, and the tech department have greatly benefitted from this automation. I just wanted to drop you a note thanking you for helping me learn this skill.” – Keith Medlin

“This course was great. Within 3 weeks I was able to write my own database related applications.” – Theo Coenen

And there are many more students who love the course – check out all the reviews for yourself.

Will this course give you core python skills?

Yes it will.  There are a range of exciting opportunities for Python developers. All of them require a solid understanding of Python, and that’s what you will learn in this course.

Will the course teach me data science, machine learning and artificial intelligence?

No, it won’t do that – All of these topics are branches of Python programming.  And all of them require a solid understanding of the Python language.

Nearly all courses on these topics assume that you understand Python, and without it you will quickly become lost and confused.

This course will give you that core, solid understanding of the Python programming language.

By the end of the course you will be ready to apply for Python programming positions as well as move on to specific areas of Python, as listed above.

Why should you take this course?

There are a lot of Python courses on Udemy – Your instructors, Tim and Jean-Paul are pretty unique in that between them they have around 70 years of professional programming experience.  That’s more than a lifetime of skills you get to learn Python from.

You can enrol in the course safe in the knowledge that they are not just teachers, but professional programmers with real commercial programming experience, having worked with big companies like IBM, Mitsubishi, Fujitsu and Saab in the past.

As such you will not only be learning Python, but you will be learning industry best practices for Python programming that real employers demand. 

And if that’s not enough take a read of some of the many reviews from happy students – there are around 100,000 students who have left around 19,000 reviews.

This is one of the most popular courses on Python programming on Udemy.

Here’s just some of what you’ll learn

(It’s okay if you don’t understand all this yet, you will in the course)

·       All the essential Python keywords, operators, statements, and expressions needed to fully understand exactly what you’re coding and why - making programming easy to grasp and less frustrating

·       You will learn the answers to questions like What is the Python For Loop, what is Python used for, how Python switch the traditional syntax of code, and more.

·       Complete chapters on object-oriented programming and many other aspects of Python, including tKInter (for building GUI Interfaces) and using databases with Python.

·       Although this is primarily a Python 3 course, a python developer will need to work with Python 2 projects from time to time – We’ll show the difference in both versions to make sure you understand how things work differently in each version.

·        How to develop powerful Python applications using one of the most powerful Integrated Development Environments on the market, IntelliJ IDEA! - Meaning you can code functional programs easier.  IntelliJ has both a FREE and PAID version, and you can use either in this course.  PyCharm will also work just fine.

(Don’t worry if you want to use another IDE. You’re free to use any IDE and still get the most out of this course).

Does the course get updated?

It’s no secret how technology is advancing at a rapid rate. New, more powerful hardware and software are being released every day, meaning it’s crucial to stay on top with the latest knowledge.

A lot of other courses on Udemy get released once, and never get updated.  Learning from an outdated course and/or an outdated version of Python can be counter productive and even worse it could teach you the wrong way to do things.

For example if you apply some parts of Python 2 to Python 3 code, you will get completely different results.

We cover differences like this in the course and also continually update the course as well.

What if you have questions?

As if this course wasn’t complete enough, we offer full support, answering any questions you have 7 days a week (whereas many instructors answer just once per week, or not at all).

This means you’ll never find yourself stuck on one lesson for days on end. With our hand-holding guidance, you’ll progress smoothly through this course without any major roadblocks.

That’s just one reason why Tim was voted top 10 in the  Udemy instructor awards (out of a whopping 18,000 instructors), and quickly became a top-rated, bestselling instructor on the Udemy site.  

Student Quote: “Tim and JP are excellent teachers and are constantly answering questions and surveying students on new topics they will like to learn. This isn't a Python course it’s THE Python course you need.” – Sean Burger

There’s no risk either!

This course comes with a full 30 day money-back guarantee. Meaning if you are not completely satisfied with the course or your progress, simply let Tim or J-P know and they will refund you 100%, every last penny no questions asked.

You either end up with Python skills, go on to develop great programs and potentially make an awesome career for yourself, or you try the course and simply get all your money back if you don’t like it…

You literally can’t lose.

Ready to get started, developer?

Enrol now using the “Add to Cart” button on the right, and get started on your way to creative, advanced Python brilliance. Or, take this course for a free spin using the preview feature, so you know you’re 100% certain this course is for you.

See you on the inside (hurry, your Python class is waiting!)

Bạn sẽ học được gì

Have a fundamental understanding of the Python programming language.

Have the skills and understanding of Python to confidently apply for Python programming jobs.

Acquire the pre-requisite Python skills to move into specific branches - Machine Learning, Data Science, etc..

Add the Python Object-Oriented Programming (OOP) skills to your résumé.

Understand how to create your own Python programs.

Learn Python from experienced professional software developers.

Understand both Python 2 and Python 3.

Yêu cầu

  • You’ve either already got it or it’s FREE. Here’s the checklist:
  • A computer - Windows, Mac, and Linux are all supported. Setup and installation instructions are included for each platform.
  • Your enthusiasm to learn this go-to programming language. It’s a valuable lifetime skill which you can’t un-learn!
  • Everything else needed to start programming in Python is already included in the course.

Nội dung khoá học

23 sections

Course Introduction

6 lectures
Introduction To The Course
02:02
Remaster in Progress
02:04
Video Quality
01:08
Subtitles
01:20
How to Get Help
04:46
Important Tip - Source Code
02:55

Install and Setup

9 lectures
IntelliJ IDEA Community Edition
00:17
Python for Windows
02:32
Installing IntelliJ IDEA for Windows
02:32
Python for Mac
03:23
Install IntelliJ IDEA for Mac
02:42
Python for Linux
04:25
Install IntelliJ IDEA for Linux
02:14
Configuring IntelliJ IDEA - WINDOWS, MAC and LINUX
11:01
Further configuration of IntelliJ
04:41

Stepping into the World of Python

30 lectures
Introduction
02:16
Our First Python Program
06:36
Printing in Python
07:15
Printing text
1 question
Printing the result of a calculation
1 question
Strings in Python
07:23
The Escape Character
07:36
Printing tabs
1 question
More on Escape Characters in Strings
03:49
Variables and Types
07:25
Python is a Strongly Typed Language
04:50
Numeric Data Types in Python
03:47
Numeric Operators
05:33
Expressions
05:17
Integer division
1 question
Operator Precedence
07:14
The str String Data Type
05:54
Negative Indexing in Strings
04:08
Slicing
09:56
Slicing with Negative Numbers
02:41
Using a Step in a Slice
07:17
Slicing Backwards
05:05
Challenge Solution and Slicing Idioms
05:14
String Operators
08:28
String Replacement Fields
11:03
String Formatting
10:50
f-strings
03:38
Python 2 String Interpolation
05:21
Section Summary
00:59
The Basics of Python
10 questions

Program Flow Control in Python

54 lectures
Introduction to Blocks and Statements
10:13
if Statements
09:37
elif
04:53
Using a Debugger in IntelliJ or Pycharm
10:20
More on if, elif and else
04:59
if, elif, and else in the Debugger
04:00
Using if with strings
1 question
Simple condition
1 question
Adding a Second Guess
06:18
Conditional Operators
08:31
Challenge Solution
02:32
Using and, or, in Conditions
05:10
Simplify Chained Comparison
04:39
Boolean Expression True and False
07:48
Truthy Values
04:30
in and not in
06:46
if Challenge
00:59
Solution to if Challenge
03:22
for loops
06:09
Stepping through a for loop
07:44
for loops Extracting Values from User Input
05:09
Extracting capitals
1 question
Iterating Over a Range
03:08
For loop
1 question
More About Ranges
04:25
For loop with step
1 question
Nested for loops
06:30
continue
07:27
break
06:51
Initialising Variables and None
04:31
while loops
06:13
More on while loops
06:08
Break in a while loop
03:48
Break
1 question
Continue
1 question
The Random Module and Import
09:26
Challenge Solution
05:26
Binary Search
05:19
Hi Lo Game
08:40
Pass Statement and Complete the Hi Lo Game
04:16
Testing the Hi Lo Game
06:38
Augmented Assignment
07:42
augmented assignment in a loop
1 question
PEP8: The Python Style Guide
08:29
Refactoring Code
03:31
else in a loop
05:21
else in the Hi Lo Game
05:06
Conditional Debugging
04:43
Another else Example
01:48
Section Summary and Challenge
03:19
Section Challenge Solution
03:50
Optional Extra Challenge Solution
04:55
Changing the Condition
01:47
Flow Control Quiz
8 questions

Lists and Tuples

57 lectures
Introduction to Sequence Types
02:55
Lists
04:24
Immutable Objects
06:30
Mutable Objects
04:39
Binding Multiple Names to a List
03:24
Common Sequence Operations
04:44
Operations on Mutable Sequences
03:41
Appending to a List
07:41
Mini Challenge Solution
02:07
Iterating Over a List
04:12
The enumerate Function
04:28
Improving our Code
08:22
Adding items to lists
1 question
Removing Items from a List
05:10
Sorting Lists
04:28
Built-in Functions
03:47
Sorting Things
09:57
Case-Insensitive Sorting
04:40
Creating Lists
09:16
Replacing a slice
05:54
Deleting Items from a List
07:29
Safely removing values from a list
02:53
Removing the High Values
06:32
Test, Test and Test. Then Test Again!
03:20
Testing the Program
03:47
Removing Items from a List Backwards
05:54
The Reversed Function
05:04
Algorithms Performance
08:58
Summary so far
02:50
Nested Lists & Code Style
09:13
Processing Nested Lists
04:42
Solution to nospam Challenge
03:36
Function Signatures
03:35
print revisited
06:23
The join Method
07:44
The split Method
09:09
Solution to Mini Challenge
05:43
The Magical Adder
1 question
Tuples
04:45
Tuples are Immutable
07:21
Unpacking a Tuple
06:29
Practical uses for Unpacking Tuples
04:06
More Unpacking
06:09
Nested Tuples and Lists
05:11
Solution to Unpacking Challenge
03:10
Nesting Further
03:44
Nested Data Structures
05:37
Nested Indexing
04:20
Nested indexing
1 question
Simple Jukebox - Demonstration
02:25
Simple Jukebox - Importing Data
05:05
Simple Jukebox - The Code
07:04
Constants in Python
08:53
Finishing the Code
05:37
Challenge
00:42
Challenge Solution
04:03
Summary
02:47

Functions - An Introduction

45 lectures
Introduction
02:38
Defining a function
05:35
Program flow when calling a function
04:25
Parameters and arguments
04:41
Debugging with parameters
07:59
Palindromes
07:13
Palindrome challenge solution
02:59
Sentence challenge solution
05:28
Functions calling functions
02:05
Returning values
08:04
get_integer Challenge solution
04:15
Sum even or odd numbers in a range
1 question
Returning None
02:58
Functions that perform actions
07:58
Handling invalid arguments
07:22
width challenge solution
02:06
Default parameter values
02:34
Keyword arguments
06:21
Docstrings
06:03
Writing a Docstring
07:50
How professional is that!
06:13
Solution to Docstrings challenge
01:54
Fibonacci Numbers
03:52
Writing a fibonacci function
08:07
Function annotations and type hints
07:16
Function annotations with default values
03:32
Solution to banner_text Docstring challenge
00:37
A history lesson
05:34
Printing in colour
07:50
Running your program like a user
05:55
Windows Only - Installing pre-release version of colorama
07:28
colorama module and virtual environments
08:09
Activating a virtual environment
06:01
A function to test our HiLo game
09:59
Counting correct guesses
04:47
Fizz Buzz
1 question
Playing Fizz Buzz
04:02
Playing Fizz Buzz Solution
06:27
Factorial function
1 question
*args
07:38
colour_print with multiple arguments
05:29
Rules for variable number of arguments
02:18
Defining different parameter types
06:46
Variable number of arguments
1 question
Section Summary
03:35

Dictionaries and Sets

63 lectures
Introduction
01:34
What is a dictionary?
08:19
Iterating over a dictionary
06:38
Adding items to a dictionary
04:06
Changing values in a dictionary
03:38
Removing items from a dictionary
07:08
Using `in` with a dictionary
07:58
Dictionary menu challenge solution
08:32
Using a list with a dictionary
00:24
Adding items to a dictionary
04:59
Smart fridge
04:23
What's for tea?
09:19
Using several dictionaries together
05:45
Checking the pantry
04:24
Checking quantities - choosing a data structure
05:19
Checking quantities - the code
06:24
Solution: Create a shopping list challenge
06:51
Wrong decisions don't have to be fatal
05:42
The setdefault method
10:04
Character counter
1 question
APIs and a mobile phone demo
08:07
The `dict` documentation
08:38
The remaining `dict` methods
04:37
The dict `update` method
06:28
The dict `values` method
08:06
References to mutable objects
05:39
Shallow copy
05:46
Shallow copy step-by-step
03:47
Deep copy
05:11
Simple deep copy solution
08:38
Hash functions
07:56
A really bad hashing function
08:45
Hash tables
06:57
Completing our simple dictionary implementation
05:07
Hash functions and security
03:49
hashlib, the secure hash module
12:11
Introduction to Android-Tim
02:56
Introduction to sets
06:12
Python sets
04:48
Implications of sets being unordered
04:56
set membership
08:09
Testing set membership is fast
07:15
Adding items to a set
05:42
Using a set to remove duplicate values
06:21
Deleting items from a set
08:17
The `discard` method
05:24
The `remove` method
10:27
The `pop` method
04:41
set union
05:32
Set union in practice
04:19
Union update
02:57
Advantage of the set operation methods over the operators
05:03
Set intersection
05:35
Set intersection in practice
05:56
Intersection update
1 question
Set difference
02:19
Set difference in practice
02:58
Difference
1 question
Set symmetric difference
06:06
subsets and supersets
03:04
subsets and supersets in Python
06:47
Practical application of subsets and supersets
08:05
Summary
06:07

Reading and writing files in Python

56 lectures
Introduction
01:43
Files and directories
10:38
Introduction to the command prompt or terminal
06:06
Paths
11:43
Text files
02:27
Reading from a text file
10:38
Opening a file using `with`
03:11
read, readline and readlines
08:24
strip, lstrip and rstrip
06:58
removeprefix and removesuffix in Python 3.9
05:12
Parsing data in a text file
05:53
Working with text data
06:29
Solution to capital city challenge
05:58
Dictionary values with multiple keys
03:23
Printing data to a text file
04:36
Writing data to a text file
09:04
File modes
04:58
Unicode – a brief history
06:33
Unicode in Python
04:06
File encodings
10:21
Serializing data using JSON
07:38
Limitations of JSON
06:08
Practical application - parsing JSON data
07:44
Practical application - parsing JSON data from the internet
08:03
The CSV format
06:47
Reading a CSV file
07:52
quoting in a CSV file
05:38
Sniffer and Dialect
06:41
CSV Dialect
05:45
Writing a CSV file
04:10
The csv DictReader
03:20
Solution to DictReader challenge
06:10
Field names with DictReader and DictWriter
08:01
Reading and writing multiple files
04:34
The csv DictWriter
07:38
The `zip` function
07:41
Reading and writing to the same text file
08:17
Solution to parsing functions challenge
07:21
The record_invoice function
07:55
Using the `record_invoice` function
09:15
seek and tell
08:24
Improving the `record_invoice` function
04:35
Summary of working with text files
02:18
Working with binary files - bytes and bytearray
11:05
Reading a bitmap file
11:43
Little endian and big endian
03:21
Making sense of binary data
10:06
Reading tags in an mp3 file
08:04
The ID3v2 specification
07:18
The code
11:40
Filling in the blanks
10:12
Extracting images
14:17
Testing our read_id3 program
05:48
Checking the hash of a file
06:03
Summary of working with binary files
03:27
End of Remaster
01:21

Modules and Functions in Python

40 lectures
Introduction to the Section
00:25
Modules and import
15:03
The standard Python library
09:14
WebBrowser Module
22:58
Time and DateTime in Python
17:36
Time (Continued) and Challenge.
11:08
Timezones
14:41
Check Path In Windows
06:38
Check Path on a Mac
03:19
FAQ: Installing packages in IntelliJ IDEA and PyCharm
01:38
Installing the pytz module (Windows/Mac/Linux)
05:37
Using Timezones
13:21
More on Timezones
17:22
Timezone Challenge
11:53
Introduction to Tkinter
12:29
TkInter - Pack Geometry Manager
13:41
TkInter - Grid Geometry Manager
12:58
Advanced GUI Example Part 1
17:13
Advanced GUI Example Part 2
14:43
Advanced GUI Example Part 3
18:08
Tkinter Challenge
14:57
Functions in Python
15:14
Functions Part 2
12:07
Functions Part 3
10:03
Parabola - More on Functions
14:25
Scope in Functions
13:02
Fix Function and Draw Circles
12:52
Enhanced Circles and Challenge
10:19
Blackjack Setup
13:42
Load Cards
13:45
Deal Cards
08:50
Global Variables
13:08
Global Keyword
16:58
Test Blackjack Game
12:55
Blackjack Challenge
19:44
Importing Techniques
20:46
Underscores in Python code
17:25
Namespaces, more on Scope and Recursion
16:07
Recursion with OS Module and Filesystem and Nonlocal keyword
13:37
Nonlocal keyword, Free and LEGB
17:07

Object Oriented Python

30 lectures
Object Orientated Programming and Classes
15:01
Instances, Constructors, Self and more
15:03
Class Attributes
10:28
Methods Part 1
14:37
Methods Part 2
14:19
Non Public and Mangling
11:53
DocStrings and Raw Literals
15:11
Album class and More on DocStrings
13:42
Artist class and import Albums
15:56
Load data and Write Checkfile
14:42
Compare Files and Algorithm Flowcharts
11:46
Implement Revised Load_Data Algorithm
14:02
Write OOP Version
12:29
Getters and Properties
09:42
Remove Circular References Challenge
06:02
Getters and Setters
15:59
Data Attributes and Properties
14:31
Alternate Syntax for Properties
05:06
Inheritance
15:00
Subclasses and Overloading
14:10
Calling Super Methods
11:16
Changing Behavior of Methods
09:31
Overriding Methods
16:17
Inheritance Challenge
11:38
Polymorphism
11:35
Duck Test
07:06
Composition
18:57
Composition Continued
11:19
Test Code and Challenge
10:37
Aggregation
12:52

Using Databases in Python

45 lectures
Introduction to Databases
05:32
Database Terminology
10:33
Sqlite3 Install on Windows
08:16
Sqlite3 Install on a Mac
02:14
SQLite3 Install on Ubuntu Linux
02:46
Introduction to SQLite
11:15
More with SQL using SQLite
10:42
Querying data with Sqlite
16:04
Order by and Joins
13:11
More complex Joins
11:44
Wildcards and Views
15:17
Housekeeping and the Challenge
14:15
SQL in Python
13:14
Connections, Cursors and Transactions
18:19
SQL Injection Attacks
12:27
Placeholders and Parameter Substitution
09:03
Exceptions
17:45
Exceptions Challenge
13:51
Exceptions Continued
14:49
Raising Exceptions
12:40
More on Exceptions
09:27
Exceptions and TODO
15:54
Rolling back Transactions
12:36
Adding Database code to the Account Class
14:40
GUI Database Editing Overview
01:33
Ultimate Edition Database View
14:35
Problems with Community Edition database plugin
00:46
Update Deposit and Withdrawal Methods
13:42
Displaying Time in Different Timezones
10:54
SQLite3 strftime Function
13:17
Challenge
13:29
Problems Storing Timezones
04:26
Rolling Back Transactions
16:38
Simple Database Browser
19:47
Scrollbars
09:49
Star Args
14:36
Kwargs
09:12
More on KWArgs
16:57
Scrollable Listbox
12:49
Populating a Listbox from a Database
10:04
Show Songs from Album
06:10
The DataListbox Class Code
16:35
Linking our DataListBoxes
11:34
Linking our DataListBoxes Continued
15:04
DataListbox Challenge
17:28

Generators, Comprehensions and the timeit module

42 lectures
Introduction
00:43
Generators and Yield
15:05
Next and Ranges
06:32
Generator Examples - Fibonacci numbers and Calculating Pi
18:30
The os.walk Generator
16:14
Searching the Filesystem
16:14
Reading Mp3 Tags
19:24
List Comprehensions
18:12
List Comprehensions and Side-Effects
08:15
Challenge Solutions
09:53
Conditional Comprehensions
11:54
Conditional Expressions
11:48
Challenges
03:03
Challenge 1 Solution
04:29
Challenge 2 Solution
11:49
Nested Comprehensions
11:50
Nested Comprehensions Challenge
14:58
The timeit Module
11:50
More on timeit
12:22
timeit Continued and Challenge
13:53
timeit Challenge
10:50
Map Intro
08:59
Map Challenge Completion
07:09
The Filter Function
08:17
The Reduce Function
07:40
any and all
10:42
Named Tuples
10:52
any and all with Comprehensions
11:18
Lambda expressions
07:30
Using lambdas
04:16
More lambdas
06:35
Conditional expressions
09:26
Conditional expression challenge
02:35
A lambda with a conditional expression
04:39
A toy calculator
05:58
A lambda in a loop
10:11
Methods of some state-carrying object
07:48
Frame makes a good base class
07:18
`eval` is dangerous!
03:51
Control all input to `eval`
03:55
Mitigating the danger of `eval`
05:59
Functions are objects
06:42

Big O notation

8 lectures
Big O notation
08:38
Big O tables and graphs
07:11
Bubble sort
14:13
Big O of Bubble sort, and an optimisation
05:23
Big O of our improved Bubble sort
04:47
Bubble sort optimisation
05:36
Best, worst and average cases
03:00
Big O summary
02:42

Section 9 Remaster in Progress

30 lectures
Introduction to the section
03:25
The turtle module
10:07
Importing specific objects
04:00
Namespaces and global scope
06:21
Local scope
05:40
Builtins
07:45
Nested functions
03:40
Enclosing scope
03:24
A little white lie, or an oversimplification
03:12
Changing the value of a free variable
07:24
Investigating changes to a free variable
06:24
The `nonlocal` keyword
04:22
The `global` keyword
09:58
Importing and the global namespace
11:44
I nearly forgot
02:30
import *
04:23
if name == '__main__':
06:11
An optimisation you may see in code
07:08
The webbrowser module
05:49
Dates and times in Python
03:25
The datetime module's date class
11:13
`timedelta` objects
08:06
The datetime module's time class
15:32
`datetime.date`, and another note about importing
06:33
Aware and naive times
05:54
zoneinfo backport
05:00
timezone objects
10:46
Timezone challenge solution
13:40
Some behaviour you might not expect
09:14
Perform arithmetic in UTC (most of the time)
10:03

ARCHIVED-Install and Setup

8 lectures
Python for Windows
02:19
Installing IntelliJ IDEA for Windows
06:35
Python for Mac
01:32
Install IntelliJ IDEA for Mac
04:57
Python for Linux
03:44
Install IntelliJ IDEA for Linux
05:16
FAQ: Change to IntelliJ project structure screen
00:29
Configuring IntelliJ IDEA - WINDOWS, MAC and LINUX
08:11

ARCHIVED-The Basics of Python

13 lectures
Your Programming Careers Questions Answered
01:53
Important Videos To Watch on Youtube
00:52
Introduction
00:38
Getting To Know Python
13:34
Printing text
1 question
Printing the result of a calculation
1 question
Understanding More About Python
08:54
Printing tabs
1 question
Storing Items In Variables
16:28
Integer division
1 question
More About Variables And Strings
12:20
String Formatting - Displaying Numbers And Strings
19:24
Quiz: The Basics of Python
10 questions

ARCHIVED-Program Flow Control in Python

21 lectures
Introduction
00:28
An Introduction To Program Flow Control
07:25
Test Conditions With If, ElIf & Else
18:47
Using if with strings
1 question
More Advanced If, ElIf & Else Processing
15:43
Simple condition
1 question
Challenge - If Then Else
06:33
For Loops
11:07
For loop
1 question
Extending For Loops
10:14
Extracting capitals
1 question
For loop with step
1 question
Understanding Continue, Break And Else
16:29
Break
1 question
Continue
1 question
Augmented Assignment
09:45
augmented assignment in a loop
1 question
Challenge - Program Flow - Part 1
14:10
Challenge - Program Flow - Part 2
10:49
While Loops
13:19
Challenge - While Loop
06:42

ARCHIVED-Lists, Ranges & Tuples in Python

10 lectures
Introduction
00:21
Lists In Python
11:18
More About Lists
09:59
Challenge - Lists
06:35
Understanding Iterators
08:54
Understanding and using Ranges
11:38
More About Ranges
08:03
Tuples
14:57
More On Tuples
14:53
Lists, Ranges and Tuples
9 questions

ARCHIVED-The Binary number system explained

4 lectures
Introduction to the Section
00:59
Binary Basics
02:31
What is binary
10:23
Hexadecimal and Octal and the Challenge
17:51

ARCHIVED-Python Dictionaries and Sets

10 lectures
Introduction to the Section
00:30
Change in the ordering of dictionary keys
00:45
Python Dictionaries
16:09
Dictionaries Part 2
15:15
Dictionaries Part 3
20:57
Dictionaries Challenge
13:06
More on Dictionaries
16:58
The Second Dictionary Challenge
08:41
Sets
15:03
Python Sets Part 2 and Challenge
18:27

ARCHIVED-Input and Output (I/O) in Python

11 lectures
Introduction to the Section
00:21
Reading and writing text files
18:45
Writing Text Files
15:43
Appending to Files and Challenge
05:37
Writing Binary Files Manually
17:57
Using Pickle To Write Binary Files
19:38
Shelve
15:58
Manipulating Data With Shelve
10:51
Updating With Shelve
15:43
Shelve Challenge
15:50
Challenge Continued
09:37

Extra Information - Source code, and other stuff

1 lectures
Source code for all Programs
18:54

Bonus - Including Slides

2 lectures
Bonus Downloads including slides
05:01
Spacer
00:11

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