The Ultimate Python Masterclass – learn from scratch

The Ultimate Python Masterclass – learn from scratch

English | MP4 | AVC 1280×720 | AAC 48KHz 2ch | 6 Hours | 794 MB

Become a professional python programmer. Simple and straightforward concepts you to create your own programs and games.

Master practical python concepts and fundamentals

My course does exactly what the title describes in a simple, practical and relatable way. I help you to grasp the fundamentals of python with live coding, practical examples, projects and quizzes, moving step by step through beginner and then intermediate concepts – getting you to the point where you are ready to being a career in python – to apply the foundations of python into real life projects, such as games, websites, data science or AI.

Why you need this course

Coming to grips with python isn’t always easy. On your own it can be quite confusing, difficult and frustrating. I’ve been through the process myself, and with the help of my peers and mentors I’ve quickly become a proficient python developer. I want to share all I’ve learned with my fellow python beginners, developers, AI aspirers. My inspiration comes from believing that, if taught effectively in a carefully planned and considered way, the vast majority of people will be able to master python..that’s why I’ve created this course.

What you will get out of this course

I will give you straightforward examples, instructions, advice, insights and resources for you to take simple steps to start coding your own programs, solving problems that inspire you and instilling the ‘developer’s mindset’ of problem solving into you.

I personally provide support within the course, answering questions and giving feedback on what you’re discovering/creating along the way. I don’t just throw you in at the deep end – I provide you with the resources to learn and develop what you need at a pace to work for you and then help you stroll through to the finish line. Studies have shown that to learn effectively from online courses tutorials should last around ten minutes each. Therefore to maximise your learning experience all of the lectures in this course have been created around this amount of time.

My course integrates all of the aspects required to get you on the road becoming a successful python developer. I teach and I preach, with live, practical exercises and walkthroughs at the end of each section!

What Will I Learn?

  • Create python programs using a wide range of fundamental python concepts
  • Showcase an impressive portfolio of practical projects
  • Develop a foundation that will also help you to create AI using python
  • Build an intuition and ‘developers mindset’ for creating complex programs, fixing and debugging code
  • Discover the practical applications of Python for future work (websites, apps, data science, AI and more)
  • Gain essential experience and confidence in problem solving
  • Implement intermediate and advanced python concepts
Table of Contents

Introduction
1 Introduction
2 How to maximise your learning
3 Installing python using anaconda
4 Getting set up with jupyter notebook
5 Practical projects

The basics
6 Print and input
7 Common data types
8 Commenting
9 Practical 1
10 Solutions 1

Control structures
11 Comparison structuresTrue false and or EqualsEquals Equals in not in
12 If else statements
13 While loops
14 Lists
15 For loops
16 Cool things you can do with listslist comprehension
17 Cool things you can do with listsneural networks
18 Practical 2
19 Solutions 2

Functions and modules
20 Basic functions
21 Implementing functions a few examples
22 Importing and using modules
23 Practical 3
24 Solutions 3

Handling files
25 Opening reading and writing files
26 Practical 4
27 Soluitions 4

Data structures and very useful tricks
28 List slicing
29 Sets and tuples
30 Dictionaries
31 Practical 5
32 Solutions 5

Functional programming
33 Lambda
34 Map and filter
35 Generators
36 Decorators
37 Recursion
38 Practical 6
39 Solutions 6

Object oriented programming
40 Classes
41 Inheritance
42 Practical 7
43 Solutions 7

Extras
44 PortfoliosGithub walkthrough
45 Resources for accelerated python growth

Conclusions
46 Learning summary
47 How to continue improving
48 Any questions

In the next coursePython for Neural Nets and Machine Learning
49 Details benefits and discounts