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    Pyuvm Series Part 1 : Python Fundamentals

    Posted By: ELK1nG
    Pyuvm Series Part 1 : Python Fundamentals

    Pyuvm Series Part 1 : Python Fundamentals
    Published 5/2024
    MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
    Language: English | Size: 749.74 MB | Duration: 3h 50m

    Step by Step Guide from Scratch

    What you'll learn

    Fundamentals of Python

    Basics of Datatypes and opeartors

    Fundamentals fo Loops

    Fundamentals of List, Tuple and Dictionary

    Using extension in python

    Requirements

    Fundamentals of C, Digital Electronics

    Description

    In today's rapidly evolving landscape of Very Large Scale Integration (VLSI) engineering, proficiency in Python programming has become indispensable. This comprehensive course is meticulously crafted to empower VLSI engineers with the foundational skills necessary to navigate the complexities of modern VLSI design and verification processes. Python, renowned for its versatility and power, stands at the forefront of programming languages, offering a robust toolkit that aligns seamlessly with the unique demands of VLSI engineering.The course is strategically designed to address the specific needs and challenges inherent in the VLSI domain. Participants will embark on a journey that not only introduces them to the fundamental principles of Python programming but also delves deeply into its tailored applications within VLSI design and verification. As technology continues to advance, Python has emerged as a linchpin in the VLSI engineer's toolkit, providing a flexible and efficient platform for addressing the intricate demands of Very Large Scale Integration.Python's ascendancy in VLSI engineering is underscored by its ability to enhance productivity, automate routine tasks, and seamlessly integrate with existing hardware description languages (HDLs) and simulation tools. As the VLSI landscape continues to demand innovation and efficiency, this course serves as a crucial bridge, empowering engineers to harness the full potential of Python in their daily workflows.

    Overview

    Section 1: Print and Logging

    Lecture 1 How to get IDE

    Lecture 2 How to use IDE

    Lecture 3 Understanding Print P1

    Lecture 4 Understanding Print P2

    Lecture 5 Code

    Lecture 6 Logging P1

    Lecture 7 Code

    Lecture 8 Logging P2

    Lecture 9 Logging P3

    Lecture 10 Code

    Section 2: Variables

    Lecture 11 Variables P1

    Lecture 12 Variables P2

    Lecture 13 Variables P3

    Lecture 14 Variables P4

    Lecture 15 Variables P5

    Lecture 16 Code

    Lecture 17 Used Cases

    Section 3: Operators

    Lecture 18 Arithmetic Operators

    Lecture 19 Code

    Lecture 20 Logical Operator P1

    Lecture 21 Adding values in different radix

    Lecture 22 Understanding F-string

    Lecture 23 Code

    Lecture 24 Logical Operator P2

    Lecture 25 Code

    Lecture 26 Understanding Sign Magnitude representation P1

    Lecture 27 Understanding Sign Magnitude representation P2

    Lecture 28 Understanding Shift Operator

    Lecture 29 Assignment + Comparison Operator

    Lecture 30 Code

    Section 4: Loops

    Lecture 31 IF ELSE P1

    Lecture 32 IF ELSE P2

    Lecture 33 Code

    Lecture 34 for loop

    Lecture 35 break and continue

    Lecture 36 Code

    Lecture 37 while loop

    Lecture 38 Code

    Lecture 39 Used Cases P1

    Lecture 40 Used Cases P2

    Section 5: Collection of Data

    Lecture 41 Lists P1

    Lecture 42 Lists P2

    Lecture 43 Lists P3

    Lecture 44 Code

    Lecture 45 Lists P4

    Lecture 46 Lists P5

    Lecture 47 Code

    Lecture 48 Lists P6

    Lecture 49 Lists Used cases

    Lecture 50 Tuple P1

    Lecture 51 Tuple P2

    Lecture 52 Tuple P3

    Lecture 53 Tuple P4

    Lecture 54 Tuple P5

    Lecture 55 Code

    Lecture 56 Tuple Used Cases

    Lecture 57 Dictionary P1

    Lecture 58 Dictionary P2

    Lecture 59 Dictionary P3

    Lecture 60 Code

    Section 6: Functions

    Lecture 61 Function without arguments

    Lecture 62 Code

    Lecture 63 Function with arguments

    Lecture 64 Code

    Lecture 65 Funcation with arbitary arguments p1

    Lecture 66 Funcation with arbitary arguments p2

    Lecture 67 Funcation with arbitary arguments p3

    Lecture 68 Code

    Lecture 69 Function with arbitary Keyword arguments

    Lecture 70 Code

    Lecture 71 Power of function P1

    Lecture 72 Power of function P2

    Lecture 73 Decorators

    Lecture 74 Code

    Section 7: Random Library

    Lecture 75 Random Number Generator P1

    Lecture 76 Code

    Lecture 77 Random Number Generator P2

    Lecture 78 Code

    Section 8: Bonus Series Course

    Lecture 79 Bonus Course

    Anyone interested in exploring python for RTL Verification