Django Tutorial-Build a Travel Blog.pdf
12.5 MB
Django Tutorial-Build a Travel Blog with GoormIDE and Bootstrap 4
Thinking_in_Pandas_How_to_Use_the_Python_Data_Analysis_Library_the.pdf
2.3 MB
Thinking in Pandas (2020)
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Data Analysis with Python and PySpark (Jonathan Rioux).pdf
14.6 MB
Data Analysis with Python and PySpark PDF
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Which programming language should I use on interview?
Companies usually let you choose, in which case you should use your most comfortable language. If you know a bunch of languages, prefer one that lets you express more with fewer characters and fewer lines of code, like Python or Ruby. It keeps your whiteboard cleaner.
Try to stick with the same language for the whole interview, but sometimes you might want to switch languages for a question. E.g., processing a file line by line will be far easier in Python than in C++.
Sometimes, though, your interviewer will do this thing where they have a pet question that’s, for example, C-specific. If you list C on your resume, they’ll ask it.
So keep that in mind! If you’re not confident with a language, make that clear on your resume. Put your less-strong languages under a header like ‘Working Knowledge.’
Companies usually let you choose, in which case you should use your most comfortable language. If you know a bunch of languages, prefer one that lets you express more with fewer characters and fewer lines of code, like Python or Ruby. It keeps your whiteboard cleaner.
Try to stick with the same language for the whole interview, but sometimes you might want to switch languages for a question. E.g., processing a file line by line will be far easier in Python than in C++.
Sometimes, though, your interviewer will do this thing where they have a pet question that’s, for example, C-specific. If you list C on your resume, they’ll ask it.
So keep that in mind! If you’re not confident with a language, make that clear on your resume. Put your less-strong languages under a header like ‘Working Knowledge.’
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Robust_Python_Write_Clean_and_Maintainable_Code_Patrick_Viafore.pdf
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Robust Python: Write Clean and Maintainable Code PDF
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Best python github Repositories very helpful for beginners -
1. scikit-learn : https://github.com/scikit-learn
2. Flask : https://github.com/pallets/flask
3. Keras : https://github.com/keras-team/keras
4. Sentry : https://github.com/getsentry/sentry
5. Django : https://github.com/django/django
6. Ansible : https://github.com/ansible/ansible
7. Tornado : https://github.com/tornadoweb/tornado
1. scikit-learn : https://github.com/scikit-learn
2. Flask : https://github.com/pallets/flask
3. Keras : https://github.com/keras-team/keras
4. Sentry : https://github.com/getsentry/sentry
5. Django : https://github.com/django/django
6. Ansible : https://github.com/ansible/ansible
7. Tornado : https://github.com/tornadoweb/tornado
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What are python namespaces?
👉A Python namespace ensures that object names in a program are unique and can be used without any conflict. Python implements these namespaces as dictionaries with ‘name as key’ mapped to its respective ‘object as value’.
Let’s explore some examples of namespaces:
👉Local Namespace consists of local names inside a function. It is temporarily created for a function call and gets cleared once the function returns.
👉Global Namespace consists of names from various imported modules/packages that are being used in the ongoing project. It is created once the package is imported into the script and survives till the execution of the script.
👉Built-in Namespace consists of built-in functions of core Python and dedicated built-in names for various types of exceptions.
👉A Python namespace ensures that object names in a program are unique and can be used without any conflict. Python implements these namespaces as dictionaries with ‘name as key’ mapped to its respective ‘object as value’.
Let’s explore some examples of namespaces:
👉Local Namespace consists of local names inside a function. It is temporarily created for a function call and gets cleared once the function returns.
👉Global Namespace consists of names from various imported modules/packages that are being used in the ongoing project. It is created once the package is imported into the script and survives till the execution of the script.
👉Built-in Namespace consists of built-in functions of core Python and dedicated built-in names for various types of exceptions.
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