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Learn Python Programming Masterclass

Learn Python Programming Masterclass

Online Self-Paced

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This Python For Beginners Course Teaches You The Python Language Fast. Includes Python Online Training With Python 3

Course Description

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.

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.

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.

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.

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.

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.

(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).

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.

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!)

  • 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.

This course includes:

58.5 hours on-demand video

Full lifetime access

17 articles

Access on mobile and TV

14 downloadable resources

SkillsFuture Credit eligible *

29 coding exercises

Certificate of completion

* More than 7hr of learning time required

Course content

  • Introduction To The Course
  • Remaster in Progress
  • Video Quality
  • Subtitles
  • How to Get Help
  • Important Tip - Source Code

  • Python for Windows
  • Installing IntelliJ IDEA for Windows
  • The next step is to configure the IDE to work with Python
  • Python for Mac
  • Install IntelliJ IDEA for Mac
  • Python for Linux
  • Install IntelliJ IDEA for Linux
  • FAQ: Change to IntelliJ project structure screen
  • Configuring IntelliJ IDEA - WINDOWS, MAC and LINUX

  • Introduction
  • Our First Python Program
  • Printing in Python
  • Printing text
  • Printing the result of a calculation
  • Strings in Python
  • The Escape Character
  • Printing tabs
  • More on Escape Characters in Strings
  • Variables and Types
  • Python is a Strongly Typed Language
  • Numeric Data Types in Python
  • Numeric Operators
  • Expressions
  • Integer division
  • Operator Precedence
  • The str String Data Type
  • Negative Indexing in Strings
  • Slicing
  • Slicing with Negative Numbers
  • Using a Step in a Slice
  • Slicing Backwards
  • Challenge Solution and Slicing Idioms
  • String Operators
  • String Replacement Fields
  • String Formatting
  • f-strings
  • Python 2 String Interpolation
  • Section Summary
  • The Basics of Python

  • Introduction to Blocks and Statements
  • if Statements
  • elif
  • Using a Debugger in IntelliJ or Pycharm
  • More on if, elif and else
  • if, elif, and else in the Debugger
  • Using if with strings
  • Simple condition
  • Adding a Second Guess
  • Conditional Operators
  • Challenge Solution
  • Using and, or, in Conditions
  • Simplify Chained Comparison
  • Boolean Expression True and False
  • Truthy Values
  • in and not in
  • if Challenge
  • Solution to if Challenge
  • for loops
  • Stepping through a for loop
  • for loops Extracting Values from User Input
  • Extracting capitals
  • Iterating Over a Range
  • For loop
  • More About Ranges
  • For loop with step
  • Nested for loops
  • continue
  • break
  • Initialising Variables and None
  • while loops
  • More on while loops
  • Break in a while loop
  • Break
  • Continue
  • The Random Module and Import
  • Challenge Solution
  • Binary Search
  • Hi Lo Game
  • Pass Statement and Complete the Hi Lo Game
  • Testing the Hi Lo Game
  • Augmented Assignment
  • augmented assignment in a loop
  • PEP8: The Python Style Guide
  • Refactoring Code
  • else in a loop
  • else in the Hi Lo Game
  • Conditional Debugging
  • Another else Example
  • Section Summary and Challenge
  • Section Challenge Solution
  • Optional Extra Challenge Solution
  • Changing the Condition
  • Flow Control Quiz

  • Introduction to Sequence Types
  • Lists
  • Immutable Objects
  • Mutable Objects
  • Binding Multiple Names to a List
  • Common Sequence Operations
  • Operations on Mutable Sequences
  • Appending to a List
  • Mini Challenge Solution
  • Iterating Over a List
  • The enumerate Function
  • Improving our Code
  • Adding items to lists
  • Removing Items from a List
  • Sorting Lists
  • Built-in Functions
  • Sorting Things
  • Case-Insensitive Sorting
  • Creating Lists
  • Replacing a slice
  • Deleting Items from a List
  • Safely removing values from a list
  • Removing the High Values
  • Test, Test and Test. Then Test Again!
  • Testing the Program
  • Removing Items from a List Backwards
  • The Reversed Function
  • Algorithms Performance
  • Summary so far
  • Nested Lists & Code Style
  • Processing Nested Lists
  • Solution to nospam Challenge
  • Function Signatures
  • print revisited
  • The join Method
  • The split Method
  • Solution to Mini Challenge
  • Tuples
  • Tuples are Immutable
  • Unpacking a Tuple
  • Practical uses for Unpacking Tuples
  • More Unpacking
  • Nested Tuples and Lists
  • Solution to Unpacking Challenge
  • Nesting Further
  • Nested Data Structures
  • Nested Indexing
  • Nested indexing
  • Simple Jukebox - Demonstration
  • Simple Jukebox - Importing Data
  • Simple Jukebox - The Code
  • Constants in Python
  • Finishing the Code
  • Challenge
  • Challenge Solution
  • Summary

  • Introduction
  • Defining a function
  • Program flow when calling a function
  • Parameters and arguments
  • Debugging with parameters
  • Palindromes
  • Palindrome challenge solution
  • Sentence challenge solution
  • Functions calling functions
  • Returning values
  • get_integer Challenge solution
  • Returning None
  • Functions that perform actions
  • Handling invalid arguments
  • width challenge solution
  • Default parameter values
  • Keyword arguments
  • Docstrings
  • Writing a Docstring
  • How professional is that!
  • Solution to Docstrings challenge
  • Fibonacci Numbers
  • Writing a fibonacci function
  • Function annotations and type hints
  • Function annotations with default values
  • Solution to banner_text Docstring challenge
  • A history lessons
  • Printing in colour
  • Running your program like a user
  • Windows Only - Installing pre-release version of colorama
  • colorama module and virtual environments
  • Activating a virtual environment
  • A function to test our HiLo game
  • Counting correct guesses
  • Fizz Buzz
  • Playing Fizz Buzz
  • Playing Fizz Buzz Solution
  • Factorial function
  • *args
  • colour_print with multiple arguments
  • Rules for variable number of arguments
  • Defining different parameter types
  • Variable number of arguments
  • Section Summary
  • End of Remaster

  • Introduction to the Section
  • Change in the ordering of dictionary keys
  • Python Dictionaries
  • Dictionaries Part 2
  • Dictionaries Part 3
  • Dictionaries Challenge
  • More on Dictionaries
  • The Second Dictionary Challenge
  • Sets
  • Python Sets Part 2 and Challenge

  • Introduction to the Section
  • Reading and writing text files
  • Writing Text Files
  • Appending to Files and Challenge
  • Writing Binary Files Manually
  • Using Pickle To Write Binary Files
  • Shelve
  • Manipulating Data With Shelve
  • Updating With Shelve
  • Shelve Challenge
  • Challenge Continued

Certificate of Completion

When you complete a paid Udemy course, you will receive a certificate of completion, which you can share with your friends, relatives, co-workers and potential employers. Certificates of completion help demonstrate your accomplishments, but please note Udemy is not an accredited institution, and as a result, the certificates cannot be used for formal accreditation.

Please note: free courses and courses that only include practice tests do not offer a certificate of completion.

What you'll learn

Student feedback

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Suresh Uthirapathy

Course is delivered professionally. I was able to learn Python from scratch. Few concepts like Lambda is missing also slide of the course is also missing. Overall satisfied.

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Maxwell Nganyadi

Finally finished the course! Learned a lot and excited to learn more once I get the chance. Tim's a great teacher and their Q&A team is quick to answer most questions. Would definitely recommend!!!

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Ran Bahadur B.K.

Amazing course, full of explanation. Some of the topics are not included but hoping they will be added soon because they are remaster the whole course. Worth buying this course.

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Ken Oehlers

The course was very good and comprehensive. I really appreciated the in-depth approach and the attention given to the numerous questions I asked through out.

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Sachin Rasane

This is best course for those who want to start there career in python.

Who this course is for:

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