Revision of Python Virtual Environments

1 file changed, 11 insertions, 1 deletion

venv.md

			@@ -24,7 +24,17 @@ _And at this point, you should do this in your Home Directory. That way you can
24	24		It will create a virtual environment called venv
25	25
26	26		## Activate venv
27		-	`./venv/bin/activate` or `./.venv/bin/activate`
	27	+	`source ./venv/bin/activate`
	28	+
	29	+	and you can add it to your `.zprofile` by
	30	+
	31	+	```
	32	+	echo "source $HOME/venv/bin/activate" >> ~/.zprofile
	33	+	```
	34	+
	35	+
	36	+
	37	+
28	38
29	39		Verify it is working with:
30	40

1 file changed, 1 insertion

venv.md

			@@ -18,6 +18,7 @@ Here's an in-depth look at how they work:
18	18		To create a virtual environment, go to the root of your project and run
19	19
20	20		_And at this point, you should do this in your Home Directory. That way you can add the `source` command to your .zprofile_
	21	+
21	22		``python -m venv venv``
22	23
23	24		It will create a virtual environment called venv

1 file changed, 1 insertion

venv.md

			@@ -17,6 +17,7 @@ Here's an in-depth look at how they work:
17	17		## Create a venv
18	18		To create a virtual environment, go to the root of your project and run
19	19
	20	+	_And at this point, you should do this in your Home Directory. That way you can add the `source` command to your .zprofile_
20	21		``python -m venv venv``
21	22
22	23		It will create a virtual environment called venv

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1 file changed, 1 insertion, 1 deletion

venv.md

			@@ -1,4 +1,4 @@
1		-	# Python3 venv Virtual Environment Fundamentals
	1	+	# Python3 Virtual Environment Fundamentals
2	2
3	3		__Python Virtual Environments__ are a tool used to create isolated spaces on your computer where you can install
4	4		and manage different versions of Python, as well as their respective packages, without affecting

1 file changed, 1 insertion, 1 deletion

venv.md

			@@ -54,7 +54,7 @@ or
54	54		``pip install -r requirements.txt``
55	55
56	56		Place the ``requirements.txt`` file in the root of your project directory.
57		-	When ready to install the dependencies, ensure your terminal is navigated to the project directory
	57	+	When ready to install the dependencies, ensure the current working directory (CWD) is the project directory
58	58		and your virtual environment is activated. Then, run ``pip install -r requirements.txt``
59	59		to install the listed packages within your virtual environment.
60	60

1 file changed, 3 insertions, 3 deletions

venv.md

			@@ -22,7 +22,7 @@ To create a virtual environment, go to the root of your project and run
22	22		It will create a virtual environment called venv
23	23
24	24		## Activate venv
25		-	`.\venv\bin\activate`
	25	+	`./venv/bin/activate` or `./.venv/bin/activate`
26	26
27	27		Verify it is working with:
28	28
			@@ -32,7 +32,7 @@ Verify it is working with:
32	32
33	33		## Intall packages
34	34
35		-	Depending on what you're gonna do with the project.
	35	+	Depending on what you're gonna do with the project. Use `pip` to install packages.
36	36
37	37		``pip install jupyter matplotlib numpy pandas scipy scikit-learn``
38	38
			@@ -60,7 +60,7 @@ to install the listed packages within your virtual environment.
60	60
61	61		```bash
62	62		python -m venv venv
63		-	.\venv\bin\activate
	63	+	./venv/bin/activate
64	64		pip install -r requirements.txt
65	65		```
66	66

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venv.md

			@@ -1,4 +1,19 @@
1	1		# Python3 venv Virtual Environment Fundamentals
	2	+
	3	+	__Python Virtual Environments__ are a tool used to create isolated spaces on your computer where you can install
	4	+	and manage different versions of Python, as well as their respective packages, without affecting
	5	+	the global system installation. This isolation helps avoid version conflicts between projects that
	6	+	require different dependencies or libraries.
	7	+
	8	+	Here's an in-depth look at how they work:
	9	+
	10	+	### Why Use Virtual Environments?
	11	+
	12	+	- Isolation: Each virtual environment is independent of others, ensuring no interference occurs between projects with conflicting requirements.
	13	+	- Dependency Management: It allows you to manage dependencies for a specific project without affecting other projects or the system's Python installation.
	14	+	- Reproducibility: By using virtual environments, it becomes easier to replicate your development environment on another machine or share with others.
	15	+	- Safety: It prevents accidental modification of global packages and allows you to experiment without risking the system's Python installation.
	16	+
2	17		## Create a venv
3	18		To create a virtual environment, go to the root of your project and run
4	19

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venv.md

			@@ -1,4 +1,4 @@
1		-	# Python3 venv virtual environment cheat sheet
	1	+	# Python3 venv Virtual Environment Fundamentals
2	2		## Create a venv
3	3		To create a virtual environment, go to the root of your project and run
4	4

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