Mastering Python 3 with hands on Programming

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Subburaj Ramasamy

15:37:00

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1 - M1 1 Introduction

1 - M1 Lesson 1 Introduction.mp4

15:50

2 - M1 Lesson 2 Python Calculator.mp4

31:34

3 - M1 Lesson 3 Builtin Library Functions.mp4

09:59

3 - M1-Assignment-1.1.pdf

4 - M1 Lesson 4 Numerical Computations.mp4

10:05

5 - M1 Lesson 5 Console Input.mp4

12:43

5 - M1-Assignment-1.2.pdf

6 - M1 Lesson 6 Unicode.mp4

05:11

7 - M1 Lesson 7 Strings.mp4

08:24

8 - M1 Lesson 8 String Methods.mp4

12:07

9 - Lesson 9 Console Output.mp4

36:48

9 - M1-Assignment-1.3.pdf

2 - M12 Functions Recursion

10 - M1 Lesson 10 Selection Constructs.mp4

31:12

11 - M1 Lesson 11 Iterations.mp4

27:31

11 - M1-Assignment-1.4.pdf

12 - M1 Lesson 12 Functions.mp4

22:48

13 - M1 Lesson 13 Fruitful Functions.mp4

25:14

14 - M1 Lesson 14 Recursion.mp4

14:15

14 - M1-Assignment-1.5.pdf

3 - M21 Containers

15 - M2 Lesson 1 List Fundamentals.mp4

25:38

16 - M2 Lesson 2 List advanced.mp4

19:15

17 - Assignment-2.1.pdf

17 - M2 Lesson 3 List Case Studies.mp4

23:15

18 - M2 Lesson 4 Tuples.mp4

17:19

19 - M2 Lesson 5 Sets.mp4

20:06

20 - Assignment-2.2.pdf

20 - M2 Lesson 6 Dictionaries.mp4

18:10

4 - M22 Object Oriented Programming

21 - M2 Lesson 7 Object Oriented Programming.mp4

25:48

22 - M2 Lesson 8 Classes Objects.mp4

29:32

23 - Assignment-2.3.pdf

23 - M2 Lesson 9 Operator overloading.mp4

25:33

24 - M2 Lesson 10 Containership.mp4

22:59

25 - M2 Lesson 11 Multilevel Multiple Inheritance.mp4

22:11

26 - M2 Lesson 12 Polymorphism.mp4

28:33

27 - Assignment-2.4.pdf

27 - M2 Lesson 13 Iterators.mp4

21:04

5 - M31 File and Exception handling

28 - M3 Lesson 1 Introduction to File Handling.mp4

21:23

29 - M3 Lesson 2 Text and Binary Files.mp4

28:53

30 - M3 Lesson 3 Traversing in a file.mp4

13:39

31 - M3 Lesson 4 JSON and Pickling.mp4

26:03

32 - Assignment-3.1.pdf

32 - M3 Lesson 5 Comma Separated Value CSV files.mp4

21:02

33 - M3 Lesson 6 Exception Handling Basics.mp4

22:27

34 - Assignment-3.2.pdf

34 - M3 Lesson 7 Advanced Exception Handling.mp4

28:16

6 - M32 Some Gems of Python

35 - M3 Lesson 8 Lambdas.mp4

12:17

36 - M3 Lesson 9 Modules.mp4

16:54

37 - M3 Lesson 10 Datetime Module.mp4

14:57

38 - M3 Lesson 11 Functional Programming.mp4

17:34

39 - Assignment-3.3.pdf

39 - M3 Lesson 12 Decorators Namespaces and Packages.mp4

42:25

7 - M33 Introduction to Data Structures with Python

40 - M3 Lesson 13 Intro to Data Structures Stack and Queue.mp4

28:46

41 - Assignment-3.4.pdf

41 - M3 Lesson 14 Sorting Data.mp4

15:19

8 - M34 Descriptive Analytics Data Visualization

42 - M3 Lesson 15 Data Visualization.mp4

19:45

43 - M3 Lesson 16 Data Visualization with Pandas.mp4

22:38

44 - Assignment-3.5.pdf

44 - M3 Lesson 17 Data Visualization using Matplotlib and Seaborn.mp4

21:38

Description

Learn extensive file handling - csv, json, pickling, gems of Python, data structures and Data Visualization techniques

What You'll Learn?

Learn Python programming from basics
Confirm your learning by writing programs
Become Proficient by carrying out the assignment
Learn core Python 3 and Introduction to Data Structures
Become thorough with file handling - CSV files, JSON, Pickling, text and binary files
Learn the gems of Python - lambda functions, modules, Decorators, functional programming, namespaces and packages
You will be able to face job interview successfully

Who is this for?

Students willing to Learn Python

Software developers who wish to brush up their knowledge in Python

Beginner Python developer curious about machine learning and data science

Students of all streams such as engineering, Science and computer applications who have taken Python as a subject

Persons interested in new jobs in Machine Learning and data science

Persons with Programming as a hobby

What You Need to Know?

No Prior programming experience is need; you will learn everything from the scratch

Should have flair for Logical reasoning and a bit of Mathematics

Should have access to computers since you have to carry out abundant programming during and after the course

Be ready to type the programs in your computer and execute them

More details

Description
The course on Python 3 (core) is embedded with hundreds of tested program, 5 assignments and number of Case Studies.
The learners will gain immensely by using the Integrated DeveLopment Environment (IDLE) and Jupyter Notebook in Anaconda for executing the programs themselves.
It gives comprehensive and in-depth coverage of functions and recursions and tail recursion, in particular. The powerful features of Python containers such as lists, tuples, sets, and dictionaries are explained in an interesting manner.
Unicode-UTF-8, strings, selection and iteration concepts are explained with simplicity by executing programs. Python calculator and use of Mathematics and other libraries are illustrated.Â Â
Python is also an object-oriented programming (OOP) language. The OOP concepts of inheritance and polymorphism, which facilitate seamless reuse of existing code as implemented in Python are discussed in a lucid manner.
Exceptions such as divide by zero might occur when we execute the programs. Python's techniques of such exception handling are described with interesting case studies.
Python has many gems in terms of programming concepts such as decorator functions, lambda functions, function objects, and first-class functions, which are rather unique and thrilling and are discussed so that the student learns without even taking a break.
An introduction to data structures using Python is given. The section addresses stack and queue and also four popular sorting methods.
Data visualization must precede data analysis â€“ predictive and descriptive. Python has excellent libraries for data visualization. An introduction to data visualization using pandas, matplotlib, and seaborn is given describing how to create a number of visuals.
The learning by programming and learning one new concept at a time in each program. is the strategy adopted so as to ease the burden of learning a new and modern programming language.
Who this course is for:
Students willing to Learn Python
Software developers who wish to brush up their knowledge in Python
Beginner Python developer curious about machine learning and data science
Students of all streams such as engineering, Science and computer applications who have taken Python as a subject
Persons interested in new jobs in Machine Learning and data science
Persons with Programming as a hobby

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My passions are Teaching, Research and Computer Programming. Currently hosting eLearning courses on Machine Learning with Python, Programming with Python 3, Object Oriented Programming with C++ and Go language programming under the brand name "Subburaj Academy"I hold Ph.D. degree from University of Madras, Master's degree from Indian Institute of Technology, Delhi. Authorized trainer of CMU/SEI for Software Capability Maturity Mpdel. Received Participation Certificate from Andrew Ng, Coursera/Stanford University for Machine Learning Course. Served as Professor of Information Technology at SRM Institute of Science and Technology, Kattankulathur, India for 17 semesters. Taught various subjects such as Machine Learning, Secure Coding, Software Testing, Software Reliability Engineering, C, C++, Java, Algorithm and Data Structures for UG, PG and Ph.D. students. Guided 4 Ph.D. scholars till their successful completion. Author of 10 books including Programming with C, C++, Python 3, TQM and Software Reliability Engineering.Served as Scientist "G" in the Ministry of Electronics and Information Technology for 30 years.Has been conferred the 17th IETE Lal C Verman Award in recognition of distinguished contributions in the field of “Standardization, Quality Control and Precision measurements”.Widely traveled, Voracious reader and writer, well known teacher and trainer for decades.

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