Jamila Daniel

Jamila Daniel

1611799200

Python Beginner Breakthroughs (Error Handling)

For those learning a programming language, understanding the syntax is really the heart of understanding how the code is to be written and implemented. A crucial next step once you start to understand syntax and code structures is to understand the possible errors that you will run into when your code doesn’t run. A thorough understanding of what the error is and why you’re receiving it makes diagnosing and troubleshooting the error much faster. When I tried to self-teach myself Python initially when I encountered an error I would copy and paste it into the black hole that is stackoverflow.com and get lost reading about other people’s issues. It wasn’t until I took a formally-taught university programming course and learned about the various error types and their significance in relation to the issue of my code that I became less reliant on “googling for answers”.

Avoiding Crisis

Having a more systematic approach to how to handle errors when you encounter them makes the troubleshooting part of Error Handling that much easier. With experience and a better understanding of the Python syntax, you will learn to quickly identify what type of error you are getting and the root cause and how to fix them. The last thing you want to do is enter crisis mode, where you quickly become timeboxed and are stuck with errors. Taking a quick breath and approaching it with a checklist to help break down the issue is what we are going to try and help you assemble in this article.

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Python Beginner Breakthroughs (Error Handling)
Ray  Patel

Ray Patel

1619518440

top 30 Python Tips and Tricks for Beginners

Welcome to my Blog , In this article, you are going to learn the top 10 python tips and tricks.

1) swap two numbers.

2) Reversing a string in Python.

3) Create a single string from all the elements in list.

4) Chaining Of Comparison Operators.

5) Print The File Path Of Imported Modules.

6) Return Multiple Values From Functions.

7) Find The Most Frequent Value In A List.

8) Check The Memory Usage Of An Object.

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Ray  Patel

Ray Patel

1619510796

Lambda, Map, Filter functions in python

Welcome to my Blog, In this article, we will learn python lambda function, Map function, and filter function.

Lambda function in python: Lambda is a one line anonymous function and lambda takes any number of arguments but can only have one expression and python lambda syntax is

Syntax: x = lambda arguments : expression

Now i will show you some python lambda function examples:

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Sival Alethea

Sival Alethea

1624291780

Learn Python - Full Course for Beginners [Tutorial]

This course will give you a full introduction into all of the core concepts in python. Follow along with the videos and you’ll be a python programmer in no time!
⭐️ Contents ⭐
⌨️ (0:00) Introduction
⌨️ (1:45) Installing Python & PyCharm
⌨️ (6:40) Setup & Hello World
⌨️ (10:23) Drawing a Shape
⌨️ (15:06) Variables & Data Types
⌨️ (27:03) Working With Strings
⌨️ (38:18) Working With Numbers
⌨️ (48:26) Getting Input From Users
⌨️ (52:37) Building a Basic Calculator
⌨️ (58:27) Mad Libs Game
⌨️ (1:03:10) Lists
⌨️ (1:10:44) List Functions
⌨️ (1:18:57) Tuples
⌨️ (1:24:15) Functions
⌨️ (1:34:11) Return Statement
⌨️ (1:40:06) If Statements
⌨️ (1:54:07) If Statements & Comparisons
⌨️ (2:00:37) Building a better Calculator
⌨️ (2:07:17) Dictionaries
⌨️ (2:14:13) While Loop
⌨️ (2:20:21) Building a Guessing Game
⌨️ (2:32:44) For Loops
⌨️ (2:41:20) Exponent Function
⌨️ (2:47:13) 2D Lists & Nested Loops
⌨️ (2:52:41) Building a Translator
⌨️ (3:00:18) Comments
⌨️ (3:04:17) Try / Except
⌨️ (3:12:41) Reading Files
⌨️ (3:21:26) Writing to Files
⌨️ (3:28:13) Modules & Pip
⌨️ (3:43:56) Classes & Objects
⌨️ (3:57:37) Building a Multiple Choice Quiz
⌨️ (4:08:28) Object Functions
⌨️ (4:12:37) Inheritance
⌨️ (4:20:43) Python Interpreter
📺 The video in this post was made by freeCodeCamp.org
The origin of the article: https://www.youtube.com/watch?v=rfscVS0vtbw&list=PLWKjhJtqVAblfum5WiQblKPwIbqYXkDoC&index=3

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Thanks for visiting and watching! Please don’t forget to leave a like, comment and share!

#python #learn python #learn python for beginners #learn python - full course for beginners [tutorial] #python programmer #concepts in python

Ray  Patel

Ray Patel

1619636760

42 Exciting Python Project Ideas & Topics for Beginners [2021]

Python Project Ideas

Python is one of the most popular programming languages currently. It looks like this trend is about to continue in 2021 and beyond. So, if you are a Python beginner, the best thing you can do is work on some real-time Python project ideas.

We, here at upGrad, believe in a practical approach as theoretical knowledge alone won’t be of help in a real-time work environment. In this article, we will be exploring some interesting Python project ideas which beginners can work on to put their Python knowledge to test. In this article, you will find 42 top python project ideas for beginners to get hands-on experience on Python

Moreover, project-based learning helps improve student knowledge. That’s why all of the upGrad courses cover case studies and assignments based on real-life problems. This technique is ideally for, but not limited to, beginners in programming skills.

But first, let’s address the more pertinent question that must be lurking in your mind:

#data science #python project #python project ideas #python project ideas for beginners #python project topics #python projects #python projects for beginners

Lenora  Hauck

Lenora Hauck

1598796900

Python Error Handling in AWS Lambda

Python, used in around 53% of all Lambda functions, is the most popular language for doing Serverless. Because of that, in the following weeks, I’m going to introduce you to the facts and best practices in building Lambda functions with Python. First up in the series is an overview of the need-to-knows for error handling Python in AWS Lambda.

Failure types

There are a lot of different things that can go wrong in your Lambda so let’s break each of them down.

Python error handling

Syntax Errors

Syntax errors, also known as parsing errors, are perhaps the most common kind of failure. They get thrown before any program command is executed. Here’s how one looks like:

>>> while True print('Hello world')
  File "<stdin>", line 1, in ?
      while True print('Hello world')
                     ^
SyntaxError: invalid syntax
Exceptions

Exceptions occur if a statement or expression is syntatically correct but an error is caused when executing it. As a developer, you can handle exceptions and make them non-fatal to your program. However, most execptions are not handled and result in an error message like this:

>>> 10 * (1/0)
Traceback (most recent call last):
  File "<stdin>", line 1, in ?
ZeroDivisionError: division by zero
>>> 4 + spam*3
Traceback (most recent call last):
  File "<stdin>", line 1, in ?
NameError: name 'spam' is not defined
>>> '2' + 2
Traceback (most recent call last):
  File "<stdin>", line 1, in ?
TypeError: Can't convert 'int' object to str implicitly
Failed to import module

Worth noting separately is the import module exception. In essence, this is an exception as every other, yet it requires some special attention in Lambdas. It is raised before the execution reaches the function handler, meaning it does not reach the execution wrapped by the function handler. This usually prevents this type of failure to be reported by error alerting agents.

#python #python error #python error handling