Python for Absolute Beginners® | Zero to Expert 2021
Python for Absolute Beginners® | Zero to Expert 2021, available at $19.99, has an average rating of 4.75, with 97 lectures, 22 quizzes, based on 153 reviews, and has 12734 subscribers.
You will learn about Learn to write code by thinking mathematically Solve many mathematical problems related to recursion and iteration Learn to implement computational Mathematics Have the skills and understanding of Python to confidently apply for Python programming jobs. Learn Python Advanced Concepts like recursion, functional programming, decorators, list comprehension, etc Object oriented Programming and its features like: Inheritance, Polymorphism, Operator Overloading Python basics like data-types, loops, decision-makings, data structures and so on This course is ideal for individuals who are For those who want to learn python in effective way (never forget what you learn) or For those who want to write code mathematically or Anyone looking to to build the minimum Python programming skills necessary as a pre-requisites for moving into machine learning, data science, and artificial intelligence. or Anyone interested in Computational Mathematics It is particularly useful for For those who want to learn python in effective way (never forget what you learn) or For those who want to write code mathematically or Anyone looking to to build the minimum Python programming skills necessary as a pre-requisites for moving into machine learning, data science, and artificial intelligence. or Anyone interested in Computational Mathematics.
Enroll now: Python for Absolute Beginners® | Zero to Expert 2021
Summary
Title: Python for Absolute Beginners® | Zero to Expert 2021
Price: $19.99
Average Rating: 4.75
Number of Lectures: 97
Number of Quizzes: 22
Number of Published Lectures: 97
Number of Published Quizzes: 22
Number of Curriculum Items: 126
Number of Published Curriculum Objects: 126
Number of Practice Tests: 2
Number of Published Practice Tests: 2
Original Price: $199.99
Quality Status: approved
Status: Live
What You Will Learn
- Learn to write code by thinking mathematically
- Solve many mathematical problems related to recursion and iteration
- Learn to implement computational Mathematics
- Have the skills and understanding of Python to confidently apply for Python programming jobs.
- Learn Python Advanced Concepts like recursion, functional programming, decorators, list comprehension, etc
- Object oriented Programming and its features like: Inheritance, Polymorphism, Operator Overloading
- Python basics like data-types, loops, decision-makings, data structures and so on
Who Should Attend
- For those who want to learn python in effective way (never forget what you learn)
- For those who want to write code mathematically
- Anyone looking to to build the minimum Python programming skills necessary as a pre-requisites for moving into machine learning, data science, and artificial intelligence.
- Anyone interested in Computational Mathematics
Target Audiences
- For those who want to learn python in effective way (never forget what you learn)
- For those who want to write code mathematically
- Anyone looking to to build the minimum Python programming skills necessary as a pre-requisites for moving into machine learning, data science, and artificial intelligence.
- Anyone interested in Computational Mathematics
Are you tired of checking multiple courses on Python and not found even one which meets your actual requirements?
Most beginners study core part of the programming easily but actual programming starts after core programming is finished, since most of real world problems are solved by using programming paradigms such as iteration, recursion, comprehension, object oriented programming etc.
Most of the preceding topics are heavily influenced by fundamental mathematics, I will try to teach you fundamental mathematics through these programming paradigm such as iteration and recursion through this course.
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This course is for you if you want to:
– build the skills you need to get your first Python programming job
– learn basic to advance programming paradigm
– get started with some domain of Python such as Machine Learning, Artificial Intelligence, Cryptography and so on
– Learn as a self taught programmer who want to freelance
…then you need a solid foundation in Python programming. And this course is designed to give you those core skills, fast.
This course is aimed at complete beginners who have never programmed before, as well as existing programmers who want to increase their career options by learning Python.
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In this course, you will get more exercises and challenges than real theory part, because I believe if any beginner programmer want to excel in Python, he or she must write some code following python programming paradigm such as recursion, iteration etc.
Course contains above 45 exercises and many more challenges and quizzes.
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FAQ’s|| Must Read before Enrolling:
Is Python A Good First Programming Language To Learn?
Even though it has not yet been adopted as a first language by many computer science programs, Python is widely seen by industry experts as a great first programming language when learning to code and its extensive use in SpaceX to automate and handle technologies to launch rockets, Instagram, Google to support their backends and Many companies to support and execute ML and Deep Learning Algorithms; Its undoubtedly No.1 Programming Language to learn.
For starters, the syntax of Python is simpler than that of most other major programming languages, with fewer exceptions and special cases. It also tends to use plain English keywords in place of the system of punctuation that has to be memorized in other languages, making it easier to learn to code. Given these conventions, Python code tends to appear as less of a “jumble” to newcomers than it does in comparable languages.
Another great feature of Python is the ubiquity of its use. While Python is optimized for development on Linux and Unix systems, interpreters are available for just about every major operating system. All implementations of Python are supported by an excellent standard library, which means that new students can very quickly move on to creating actual functional programs that are useful. Additionally, the standard implementation of Python, CPython, is free and open-source.
What Type Of Jobs Are Available To Python Programmers?
In the job market, if you observe the trends; Python is often looked like a strong language to support some primary language that is more broadly used like C or Java. But Lately, with the evolution of ML and Deep Learning Algorithms; it is highly demanded skill to have in 2020 and later. There are a variety of jobs that one can get focusing exclusively on Python development, however. Many of these jobs will be in building and improving the internal tools that a company uses to create its finished marketable products, rather than working on the finished product itself.
One specific economic sector where the presence of Python programming is particularly strong is the geospatial industry. This is a critical industry that deals with navigational tools such as GPS, radar, and light measurements.
If you’re interested in web applications, Python is a better choice for development (working with the back-end or server-side) rather than design (creating the actually finished front-end that site visitors interact with). As mentioned previously, Google employed Python for many components of its search engine, and it is quite widely used in the data mining industry.
Finally, Python can also be used for game development. Some famous examples of games developed either entirely or in large part with Python include EVE Online, Civilization IV, the Battlefield game series, and the Mount & Blade games. The popular development environment Blender is written in Python.
Ready to get started, My PYTHON PROGRAMMER Friend?
Enroll nowusing the “Add to Cart” button on the right, and get started on your way to creative, advanced Python brilliance. Or, take this course for a free spin using the preview feature, so you know you’re 100% certain this course is for you.
See you in the class!
Just give it a try, you won’t regret!!
Course Curriculum
Chapter 1: Introduction
Lecture 1: Introduction
Lecture 2: Why Python?
Lecture 3: Afraid of Mathematics?
Chapter 2: Install Python and IDE on your Machine
Lecture 1: Install Python on Windows
Lecture 2: Download and setup Pycharm code editor on Windows
Lecture 3: Install python on Linux Machine
Lecture 4: Download and setup Pycharm code editon on Linux
Lecture 5: How to read Python documentation
Chapter 3: Download Python Resources for the course!!
Lecture 1: Python Note
Lecture 2: Effective way to Excel at this course!
Chapter 4: Variables and Data Types
Lecture 1: Variables on Python
Lecture 2: Data Types: String, Set and Numbers
Lecture 3: Data Types: List, Dictionary and Tuple
Chapter 5: Operators and Operands
Lecture 1: Comments and User Input
Lecture 2: Operators and Operands
Lecture 3: Logical Operators and Operations
Lecture 4: Boolean Algebra
Lecture 5: Different operations on Boolean Algebra
Lecture 6: Relational Algebra
Lecture 7: Conditionals using Algebra
Lecture 8: Exercise: Whether number is positive and even
Lecture 9: Exercise: Check whether string contains given substring
Lecture 10: Built-in Modules and Creating your own Modules
Lecture 11: "random" module
Lecture 12: "math" module
Chapter 6: Data Structures
Lecture 1: Python "List" Data Structures
Lecture 2: Exercise: Find index of largest element of list
Lecture 3: Exercise: swap numbers in python
Lecture 4: Exercise: Reverse element of list without using any inbuilt functions
Lecture 5: Exercise: WAP to return index of greatest neighbor element
Lecture 6: Exercise: Find intersection of two list
Lecture 7: Python "Dictionary" Data Structures
Lecture 8: Dictionary in a nutshell!
Lecture 9: Exercise: Find name and password in the dictionary
Lecture 10: Exercise: Reverse key and value pair
Lecture 11: Learn Strings and String Methods in detail
Lecture 12: String Formatting
Chapter 7: Rock Paper Scissor
Lecture 1: Introduction to Rock Paper Scissor and Its rule
Lecture 2: Making Game Logic and Move for Players
Lecture 3: Address condition where Player will win the game
Lecture 4: Address condition where Computer will win the game and Invalid Inputs
Lecture 5: Adding Score to the Game
Chapter 8: Make A Quiz Game
Lecture 1: Little Bit about File Handling
Lecture 2: Open the File and store content of File into the dictionary
Lecture 3: Create Sample Questions for the Quiz Game
Lecture 4: Check User Answer with correct Answer and print score of the Player
Chapter 9: Conditionals and Looping
Lecture 1: Python Indentation
Lecture 2: Python Conditionals: if…else statements
Lecture 3: Looping in Python: while Loops
Lecture 4: Exercise: Find sum to 'n' using Loops
Lecture 5: Exercise: Find sum of odd numbers to N using Loops
Lecture 6: Exercise: WAP to find multiples of 6
Lecture 7: Exercise: Find Factorial of numbers using Loops
Lecture 8: Exercise: Sum of the functions
Lecture 9: Exercise: Optimized solution of previous Lecture Problem
Lecture 10: Looping in Python: for Loops
Lecture 11: List and Dictionary Comprehensions
Chapter 10: Matrix and Vector in Python
Lecture 1: How to represent Vectors and Matrices in Python?
Lecture 2: Access Element of Vector and Matrix
Lecture 3: Exercise: Matrix Sum
Lecture 4: Exercise: Vector Mean Position
Chapter 11: User Defined Functions in Python
Lecture 1: User Defined Functions in Python
Lecture 2: Writing better Functions
Lecture 3: Exercise: Write myPow() function to calculate given power of any number
Lecture 4: Exercise: Create a Rectangle using Functions
Lecture 5: Exercise: Find dot product between two lists
Lecture 6: Exercise: Sum of squared of numbers of the List
Lecture 7: Exercise: Sum of numbers to N
Lecture 8: Exercise: Find smallest divisor
Lecture 9: Exercise: find sum of all divisors of the number
Instructors
-
Sachin Kafle
Founder of CSAMIN & Bit4Stack Tech Inc. [[Author, Teacher]]
Rating Distribution
- 1 stars: 5 votes
- 2 stars: 7 votes
- 3 stars: 19 votes
- 4 stars: 52 votes
- 5 stars: 70 votes
Frequently Asked Questions
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You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
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