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Hello CSIR NET Aspirants!
Most of books you must have already studied in your graduation and PG. So just revise the concepts and Practice variety of quality questions to learn the application of concepts. You can check the list of good books for CSIR NET Physical Sciences http://bit.ly/2XjAkl5
At the very start go for basics from H. c verma or resnick halliday. Krane for nuclear physics. Malvino and leech For Digital Electronics
Griffith for electromagnetic theory. H. Goldstein or J. c upadhyay for classical mechanics
F. Brief for Thermodynamics and Statistical physics. Quantum mechanics - Griffith (for first five chapters). Schaums series or Arfkin for complex variables and vector calculation in mathematical physics. Boylestad/ halkias for Electronics.

Hello CSIR aspirants!
To clear CSIR NET for mathematical Science with self-preparation a candidate must follow the tips given below. Preparation strategy-
The level of the exam and difficulty never changes. It is helpful if you solve CSIR NET Previous year papersto have an idea of difficulty. Along with this if you have a good grasp on your Masters then must go for self-study. Practice and revision is the only key. Know the Important topics-
Unit 1- Real Analysis:
Functions of several variables
Bolzano Weierstrass theorem
Heine Boral theorem
Continuity
uniform continuity
mean value theorem
metric spaces
compactness
connectedness
Unit 2-Complex analysis:
Complex analysis is most scoring subject which you can prepare from CSIR previous year papers http://bit.ly/32BcsKI. Unit 3- ODE, PDE and Numerical Analysis
Paper Attempting Strategy
This is something one should be clear with. Divide your total time in 3-time constraints as in 90-95 minds, 55-60 minds and half an hour. In the first-time constraint solve part c then part b and part AAT last. Try to understand part A is scoring but time consuming. Prat c has no negative marking. Selection of Good Resources-
S. L. Ross, Differential Equations
N. Sneddon, Elements of Partial Differential Equations
K. E. Atkinson, Introduction to Numerical Analysis.

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