6 Hours Mastering Python3

Focused View

Onesinus Tamba

5:18:04

12 View

1. Get familiar with python

1. Introduction.mp4

01:31

2.1 2 list keywords.zip

2. List Keywords.mp4

03:55

3.1 3 variable.zip

3. Variable.mp4

04:55

4.1 4 indentation.zip

4. Indentation, One Line and multiple lines code.mp4

08:06

5.1 5 variable assigment and memory location.zip

5. Variable Assignment & Memory Location.mp4

05:14

2. Data Type & Data Structure

1.1 6 numeric float.zip

1. Numeric, Float.mp4

06:45

2.1 7 boolean.zip

2. Boolean.mp4

06:04

3.1 8 string.zip

3. String.mp4

08:32

4.1 9 string part 2.zip

4. String (Concat, Slice, Loop, Check Contain, Split).mp4

20:42

5.1 9 string part 2.zip

5. String built in methods.mp4

17:18

6.1 11 list.zip

6. List.mp4

20:26

7.1 12 list comprehensions.zip

7. List one line expression (comprehension).mp4

10:19

8.1 13 any all.zip

8. All Any.mp4

07:01

9.1 14 tuple.zip

9. Tuples.mp4

08:11

10.1 15 sets.zip

10. Sets.mp4

11:06

11.1 16 sets union intersection difference.zip

11. Sets part 2 (operation).mp4

06:06

12.1 17 builtin methods.zip

12. Other Built in methods.mp4

03:31

13.1 18 dictionary.zip

13. Dictionary.mp4

10:01

14.1 19 dictionary use case.zip

14. Dictionary Use Case.mp4

06:56

15.1 20 arithmetic operator.zip

15. Arithmetic operator.mp4

02:41

16.1 21 comparison operator.zip

16. Comparison operator.mp4

04:52

17.1 22 logical operator.zip

17. Logical operator.mp4

09:06

18.1 23 assigment operator.zip

18. Assignment operator.mp4

05:21

19.1 24 in operator.zip

19. In operator.mp4

03:26

3. Function

1.1 25 basic function.zip

1. Basic Method.mp4

02:36

2.1 26 function parameter.zip

2. Parameter.mp4

05:29

3.1 27 variable scope.zip

3. Variable Scope.mp4

04:16

4.1 28 function use cases.zip

4. Use Case Function.mp4

04:41

5.1 29 args.zip

5. Args.mp4

05:06

6.1 30 arguments use case.zip

6. Args use cases.mp4

04:41

7.1 31 keyword arguments.zip

7. kwargs.mp4

05:16

8.1 32 lambda.zip

8. Lambda.mp4

06:27

9.1 33 lambda x function.zip

9. Lambda x Function.mp4

03:56

10.1 34 filter.zip

10. Filter.mp4

05:46

11.1 35 map.zip

11. Map.mp4

05:16

12.1 36 reduce.zip

12. Reduce.mp4

05:41

4. OOP

1.1 37 class object.zip

1. Class & Object.mp4

04:16

2.1 38 inheritance.zip

2. Inheritance.mp4

05:46

3.1 39 super method.zip

3. Super method.mp4

02:21

4.1 40 method overriding.zip

4. Polymorphism.mp4

02:27

5.1 41 encapsulation.zip

5. Encapsulation.mp4

03:11

6.1 42 abstraction.zip

6. Abstraction.mp4

03:26

5. Iterable, Iterator, Generator, Decorator

1.1 43 iterable.zip

1. Iterable.mp4

03:11

2.1 44 custom iterator.zip

2. Iterator.mp4

04:11

3.1 45 generator.zip

3. Generator.mp4

03:16

4.1 46 decorator.zip

4. Decorator.mp4

03:41

6. File Management

1.1 47 open read file.zip

1. Open & Read File.mp4

06:37

2.1 48 append and write file.zip

2. Append & Write File.mp4

04:51

3.1 49 delete file and directory.zip

3. Delete File and Directory.mp4

04:51

7. Exception in python (error handling)

1.1 50 try except.zip

1. Try Except.mp4

06:31

2.1 51 else finally.zip

2. Else Finally.mp4

02:26

3.1 52 built in exception.zip

3. Built in Exceptions.mp4

05:46

Description

Python3 practical and fundamental course

What You'll Learn?

Python fundamental
Syntax of Python
Programming fundamental logics (Logical)
Python Data types
Operators
Looping
Python functions
Built in methods
Python OOP
Python Iterator
Python Decorators
Python Generators
Python File Management
Python Error Handling
Python Simple Programs

Who is this for?

Everyone who wants to learn Python

Student

Programmer Candidate

Programmers who want to switch programming language

Data Analyst Candidate

Machine Learning Engineer Candidate

What You Need to Know?

No programming experience needed

More details

Description
Python3, This course guides you to learn programming fundamental using python, this is for beginner level so you can make your first step to become a web programmer or a data scientist, machine learning engineer and any positions that require python as a basic requirement

NOÂ PROGRAMMINGÂ SKILLÂ ORÂ EXPERIENCE NEEDED, I try to make it as simple as it can so you can follow it step by step and enjoy the journal of learning programming (python)

Tips for you to get maximum benefits of this course:
1. I do you see (see the examples i gave to you)
2. Do it yourself (repetitive is key, try it yourself, don't only see it, practice it)
3. Explore the things outside the explanation but still on the same topic
Python is a high-level, general-purpose programming language. Its design philosophy emphasizes code readability with the use of significant indentation
Principles:
Beautiful is better than ugly.
Explicit is better than implicit.
Simple is better than complex.
Complex is better than complicated.
Flat is better than nested.
Sparse is better than dense.
Readability counts.
Special cases aren't special enough to break the rules.
Although practicality beats purity.
Errors should never pass silently.
Unless explicitly silenced.
In the face of ambiguity, refuse the temptation to guess.
There should be one-- and preferably only one --obvious way to do it.[a]
Although that way may not be obvious at first unless you're Dutch.
Now is better than never.
Although never is often better than right now.[b]
If the implementation is hard to explain, it's a bad idea.
If the implementation is easy to explain, it may be a good idea.
Namespaces are one honking great idea â€“ let's do more of those!
I open for your feed forward, thanks for taking this course and hopefully you will be success in your learning
Thank you and Good luck!
Who this course is for:
Everyone who wants to learn Python
Student
Programmer Candidate
Programmers who want to switch programming language
Data Analyst Candidate
Machine Learning Engineer Candidate

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Python

Onesinus Tamba

Instructor's Courses

Onesinus Saut Parulian is a practitioner in the IT field, specifically in the field of software development since 2015. His educational background was in computer and network engineering at a vocational high school which was then continued with a major in informatics engineering. has a hobby of writing ebooks and sharing knowledge. He really likes the field of programming, making the author continue his postgraduate education in the field of computer science in 2023 while continuing his professional career as an Engineering Manager at a startup.--Onesinus Saut Parulian adalah seorang praktisi di bidang IT secara spesifik di bidang software development sejak tahun 2015. Latar belakang pendidikan teknik komputer dan jaringan pada sekolah menengah kejuruan yang kemudian dilanjutkan dengan jurusan teknik informatika. memiliki hobi menulis ebook dan berbagi pengetahuan. Sangat menyukai bidang programming menjadikan penulis melanjutkan pendidikan pascasarjana di bidang ilmu komputer pada tahun 2023 ini sambil terus melanjutkan perjalanan karir profesional sebagai Engineering Manager di salah satu startup.

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