Integrate Anaconda into Pyenv

If you use Pyenv to install multiple Python versions side-by-side and installed Anaconda to create virtual environments for each of your projects, install pyenv-virtualenv to integrate them.

Anaconda without the pyenv-virtualenv integration overwrites the PATH, and places itself to the front before pyenv would be able to handle the Python command calls. pyenv-virtualenv seamlessly combines the functionality of pyenv and Anaconda to handle the multiple Python versions and virtual environments.

The source code is at https://github.com/pyenv/pyenv-virtualenv

Install pyenv-virtualenv

Use Home Brew for the recommended installation

brew install pyenv-virtualenv

Add the initialization code to the ~/.bashrc, ~/.zshrc file:

if which pyenv-virtualenv-init > /dev/null; then eval "$(pyenv virtualenv-init -)"; fi

Install multiple Python versions with Pyenv

Pyenv is a Python version manager. It is recommended, because it does not depend on Python, (written in Bash) and using it we can install and utilize multiple Python versions without affecting the Python version used by MacOS.

The Pyenv source code is at https://github.com/pyenv/pyenv

Install Pyenv

We will use Homebrew to install Pyenv

brew install pyenv

Install the latest stable version of Python with Pyenv

Check https://www.python.org/downloads/macos/ for the latest stable release.

pyenv install 3.11.1

Set the new Python version the default

pyenv global 3.11.1
# check if the change took effect
pyenv version

Configure your shell to use Pyenv for Python version management

Add these lines to your .bashrc, .zshrc or .bash_profile file

PATH=$(pyenv root)/shims:$PATH

if command -v pyenv 1>/dev/null 2>&1; then
  eval "$(pyenv init -)"
fi

Use virtual environments with Anaconda

Anaconda (conda) can create a python bubble for you with no preinstalled packages. You can create a Python virtual environment for each of your projects to isolate them and only install the required packages.

When we distribute our code, we should specify the list of referenced Python packages including their versions in the requirements.txt file. This enables any other developer ( and the Docker container build process ) to install the appropriate packages and be able to successfully run our application.

When you install packages with pip, those packages are global, every project can see them. When we execute the pip freeze > requirements.txt command, all installed packages will show up in the requirements.txt file, not just the short list needed for the particular application.

When you execute your application, Python will prompt you to install the referenced packages. The resulting list is usually much shorter, than the long list of globally installed packages.

Install Anaconda

Download the installer from https://www.anaconda.com/products/individual

Create your first virtual environment

To create an environment with only generic packages installed execute the command:

conda create -n MY_ENVIRONMENT_NAME python=3.10
# At the time of writing python version 3.10
# is the latest for Anaconda packages

To create a new environment based on a requirements.txt file:

conda env create -f=requirements.txt -n MY_ENVIRONMENT_NAME

To create a new environment based on an environment.yml file:

conda env create -f=environment.yml

Working with virtual environments

List the Python virtual environments. The asterisk (*) shows to current environment.

conda env list

Activate an environment

conda activate MY_ENVIRONMENT_NAME

Delete an Anaconda environment

conda deactivate
conda env remove -n MY_ENVIRONMENT_NAME

Generate the dependency list for you project

Generate a standard text file with the list of packages and their versions installed in the current Python environment. This enables the Docker build or any developer to reproduce the same Python environment you have on your developer workstation.

pip freeze > requirements.txt

ERROR HMAC did not pass!!

The DocuSign Connect interface can send REST API requests to your HTTP listener using HMAC ( hash-based message authentication code ) security. This guarantees the integrity of the contents of the message:

You generate a secret key in the DocuSign web UI,
During the webhook call DocuSign generates the SHA-256 hash of the raw body of the message and includes the base-64 encoded value of it in the x-docusign-signature-1 header element,
Your listener application generates the SHA-256 hash of the raw body of the received message using the same secret key, and compares the result with the value of the x-docusign-signature-1 header element.

To set up HMAC security, first you need to generate a key in the DocuSign Connect web UI. The generated key appears only once in a text box where you cannot highlight the value.

It is important to know, that the secret key is a base-64 encoded text ending with an equal sign (=).

Copy

One way to copy the value is to right-click the field and select Copy. This method does NOT copy the ending equal sign, but you can manually add it to the end of the string.

Inspect

Another way is to right-click the field and select Inspect.

On the Elements tab of the Developer tools double click the key value.

Copy the value.

Make sure to include the equal sign at the end.

Calculating the HMAC hash

When your application calculates the HMAC hash, use the raw body of the message without any transformation, and the copied secret key value, do not decode it from the base-64 format.

Troubleshooting

To inspect the contents of the REST API request use free tools available on the Web.

Use webhook.site to receive test messages from DocuSign. Set the unique URL in your DocuSign application and generate an event by signing an envelope.

The webhook.site UI displays the message including the x-docusign-signature-1 header value and the message body.

To copy the raw content of the body click the Copy link

Copy the raw body of the message and your DocuSign secret key into the Online HMAC Generator and generate the HMAC hash.

Set the

Key type to TEXT
SHA variant to SHA-256
Output type to Base-64

Compare the Result with the x-docusign-signature-1 header value.

Error: invalid SQS queue name

When you create anAWS FIFO SQS queue with Terraform, you may get the error message:

Error: invalid queue name

The name of an AWS FIFO SQS queue has to end with .fifo ( my-queue.fifo )

The name of any AWS SQS queue cannot be longer than 80 characters, and can only contain letters, numbers, dashes ( – ), and underscores ( _ ).

Kovászos Bagett és Batard

Szabadfi Szabolcs (Szabi) csoda finom bagett és batard készítését tanítja kovásszal.

Hozzávalók

Az előtésztához

2 dl langyos víz
50 g kovász
40 g BL 55-ös finomliszt
160 g BL 80-as kenyérliszt

A dagasztáshoz:

2.1 dl langyos víz
50 g kovász
240 g BL 55-ös finomliszt
240 g BL 80-as kenyérliszt
1 teáskanál barna cukor
14 g só
1 teáskanál olaj a kelesztőtál kiolajozásához

Kezdés időpontja	Tevékenység	3 bagetthez	Várakozás utána
Előző reggel	Tedd a kovászt a pultra		Hagyd kint 8 órán keresztül
Előző este	Tedd el az anyakovászt	Ha másnap kenyeret is akarsz sütni, adj hozzá 30 g lisztet 24 g vizet	Hagyd kint egész éjjel
Előző este	Készítsd el az előtésztát	2 dl langos víz 50 g kovász 40 g finomliszt 160 g kenyérliszt	Takard le, Hagyd a pulton reggelig
9:20	Tedd el az anyakovászt
9:30	Kicsit keved össze a tésztát	2.1 dl langyos víz 50 g kovász 240 g finomliszt 240 g kenyérliszt 1 teáskanál barna cukor	10 perc
10:00	Add hozzá a sót és dagaszd meg. Tedd kiolajozott tálba.	14 g só	20 perc
10:30	1. hajtogatás		30 perc
11:00	2. hajtogatás		30 perc
11:30	3. hajtogatás		30 perc
12:00	Adagolás: - 3 részre osztjuk, - Összehajtjuk, - Letakarjuk.		10 perc
12:20	Formázás: - Összehajtjuk, - Kisodorjuk, - Letakarjuk		Kelesztés: 30 perc - 1 óra vagy egész éjjel hűtőben
13:00	Sütő befűtése	245 °C fokra
13:30	Vetés: - Bevizezzük a tésztát - Éles késsel bevagdossuk
13:35	Sütés 240 °C-on		10 perc
13:45	Sütés 210 °C-on		15-21 perc
14:00	Kész a bagett

Előző délelőtt

Tedd ki a kovászt

8 órával az előtészta készítése előtt vedd ki a kovászt a hűtőből és tedd ki a pultra.

Előző este

Készítsd el az előtésztát

Etetds meg a kovászt

Ha másnap kenyeret is akarsz sütni, adj hozzá
- 30 g lisztet
- 24 g vizet

Keverd össze az előtésztát

Az előtészta
- 2 dl langyos víz
- 50 g kovász
- 40 g BL 55-ös finomliszt
- 160 g BL 80-as kenyérliszt
Takard le egy konyharuhával
Hagyd kint a pulton

A munka napján

Etetds meg a kovászt

Kicsit keverd össze a tésztát

2.1 dl langyos víz
50 g kovász
240 g BL 55-ös finomliszt
240 g BL 80-as kenyérliszt
1 teáskanál barna cukor

Várj 10 percet

Dagaszd meg a tésztát

Add hozzá a sót
Dagaszd meg a tésztát
1 teáskanál olajjal olajozz meg egy tálat
Tedd bele a tésztát és takard le

Várj 20 percet

3-szor hajtogasd meg a tésztát

Óvatosan nyújtsd ki
Hajtsd a tésztát három részbe
Göngyöld fel
Tedd vissza a tálba
Takard le
Pihentesd 30 percig

Adagolás

A tésztát óvatosan nyújtsd ki
Ujjbeggyel nyomkodd meg
Vágd három részre
A tésztákat hajtsd három részbe, az utolsó hatást feszítsd meg

Pihentesd 10 percig

Formázás

A tésztát ujjbeggyel óvatosan kinyomkodjuk
Picit meghúzzuk
Fentről lehajtjuk
Lentről felhajtjuk
Félbehajtjuk és kéz éllel lezárjuk
Batard
- Csak a tészta végére sodrunk fület
Bagett
- Középről kisodorjuk
- A végeit csücskösítjük
A hajtást alulra tesszük
Sütőpapíros tepsibe tesszük

Kelesztés

Ha ma sütjük, 30 percet – 1 órát kelesszük
Ha másnap sütjük, tegyük a hűtőbe

Fűtsd be a sütőt 245 °C-ra

Vetés

Vizezd be a tésztát és a sütőpapírt
Éles késsel vagdosd be a tésztát

Sütés

240 °C-on 10 percig
210 °C-on 15-21 percig süsd
Amikor kiveszed a sütőből vizezd be, hogy fényes legyen

A videot itt láthatod

How to copy an image from Docker Hub to your Docker Registry

Some images on Docker Hub require the acknowledgement of the terms and conditions. This prevents CI/CD pipelines and other automated build systems to pull the image with the error message:

error building image: GET https://index.docker.io/v2/store/… : UNAUTHORIZED: authentication required; [map[Action:pull Class: Name:store/… Type:repository]]

To solve the problem, we can manually pull the image to our workstation, tag the image with our Docker Registry URL, and push the image to our Docker Registry. In this example we will use the Oracle Database Instant Client docker image.

Log into Docker Hub
docker login

Pull the image to your local machine from Docker Registry
docker pull store/oracle/database-instantclient:12.2.0.1

Tag the image with your Docker Registry URL
docker tag store/oracle/database-instantclient:12.2.0.1 MY_DOCKER_REGISTRY_URL/oracle/database-instantclient:12.2.0.1

Log into your Docker Registry
docker login MY_DOCKER_REGISTRY_URL

Push the image to your Docker Registry
docker push MY_DOCKER_REGISTRY_URL/oracle/database-instantclient:12.2.0.1

Fánk sütőben sütve

Hozzávalók

50 dkg finomliszt
5 dkg margarin
7 dkg cukor
3 dkg friss élesztő
3 db tojássárgája
3 dl tej
15 teáskanál lekvár/ dzsem

Elkészítés

Langyos cukros tejben felfuttatjuk az élesztőt,
Közben egy tálban a lisztet, a puha margarint és a tojásokat elmorzsoljuk.
A felfuttatott élesztőt is hozzátesszük, és dagasztjuk. Ha ragad, akkor még egy kis liszt mehet bele.
Konyharuhával letakarva duplájára kelesztjük.
Ezután átgyúrjuk, és kb. 2 cm vastagságúra kinyújtjuk.
Közepes méretű pogácsaszaggatóval kiszaggatjuk. Nekem kb. 30 db lett ebből a mennyiségből.
Sütőpapírral kibélelt tepsire rakosgatjuk szellősen, mert még kelni fog.
Stampedlis pohár aljával mélyedéseket nyomunk a közepébe, ebbe tesszük a kb. mokkáskanálnyi lekvárt.
Előmelegítjük a sütőt 165 fokra, közben még a tepsiben hagyjuk kelni a fánkokat.
160-165 fokon kb. 20-25 percig sütjük.
Még melegen a tepsiben vaniliás cukorral megszórjuk.

Fél adagot is süthetsz 2 tojással.

Sütés hőfoka: 160 °C
Sütés módja: alul-felül sütés
Sütés ideje: 20 perc

Gaming laptop comparison

This comparison is based on the following reviews

PC Magazine – The Best Gaming Laptops for 2022

Brand	Model	Price	CPU	GPU	Display	RAM	HDD	Weight	Pros	Cons	Link
Acer	Predator Helios 300 Gaming Laptop - PH317-55-71YX
Alienware	ALIENWARE X17 GAMING LAPTOP RTX 3060	$2,699.99	11th Gen Intel® Core™ i7 11800H (8-Core, 24MB L3 Cache, up to 4.6GHz with Turbo Boost Technology)	NVIDIA® GeForce RTX™ 3060 6GB GDDR6	17.3" FHD (1920 x 1080) 165Hz 3ms with ComfortView Plus	32GB DDR4 3200MHz	2x1 TB SSD				dell.com
Alienware	ALIENWARE X17 GAMING LAPTOP RTX 3070	$3,029.99	11th Gen Intel® Core™ i7 11800H (8-Core, 24MB L3 Cache, up to 4.6GHz with Turbo Boost Technology)	NVIDIA® GeForce RTX™ 3070 8GB GDDR6	17.3" FHD (1920 x 1080) 165Hz 3ms with ComfortView Plus	32GB DDR4 3200MHz	2x1 TB SSD				dell.com
Asus	ASUS ROG Strix G17 Gaming Laptop	$2,139.99	AMD Ryzen 9 5900HX Processor	NVIDIA GeForce RTX 3060 GPU(130W)	17.3" 144 Hz FHD IPS	32 GB DDR4	1TB PCIe NVMe SSD	8.9 lbs			amazon.com
Asus	ASUS ROG Strix Scar 17 (2021)	$3,499	AMD Ryzen 9 5900HX Processor	NVIDIA GeForce RTX 3080	17.3” 360Hz IPS FHD	32GB DDR4	2TB SSD RAID0	5.95 lbs			amazon.com
Dell	XPS 17 Laptop	$2,659.99	11th Generation Intel® Core™ i7-11800H (24MB Cache, up to 4.6 GHz, 8 cores)	NVIDIA® GeForce RTX™ 3060 6GB GDDR6 [70W]	17.0" FHD+ (1920 x 1200) InfinityEdge Non-Touch Anti-Glare 500-Nit Display	32GB DDR4 3200MHz, 2x16GB	1TB M.2 PCIe NVMe SSD	4.87 lb	Small and light, bright display, USB C ports		dell.com
HP	HP Omen	$2,179.99	Intel® Core™ i9-11900H (up to 4.9 GHz, 24 MB L3 cache, 8 cores, 16 threads)	NVIDIA® GeForce RTX™ 3070 Laptop GPU (8 GB)	17.3" diagonal, FHD (1920 x 1080), 144 Hz, 7 ms response time, IPS, micro-edge, anti-glare, Low Blue Light, 300 nits	32 GB	1 TB PCIe® NVMe™ M.2 SSD		Better proc and GPU	Low brightness	hp.com
MSI	MSI GE76 RAIDER 11UG-054	$2,599	Intel® Core™ i7-11800H	NVIDIA® GEFORCE RTX™ 3070 LAPTOP GPU 8GB GDDR6	17.3" FHD (1920X1080), 360HZ, MATTE	32 GB	1TB NVMe SSD	6.39 lbs			xoticpc.com
MSI	MSI GE76 Raider 11UH-245	$3,099.99	Intel® Core™ i7-11800H 2.4GHz	NVIDIA® GeForce RTX™ 3080 Laptop GPU 16GB GDDR6	17.3" FHD (1920x1080), 360Hz 3ms, IPS-Level	32 GB	1TB NVMe SSD	6.39 lbs			msi.com
MSI	MSI GE76 RAIDER 11UH-053	$3,399	Intel 11th Gen Core i9-11980HK 2.6 - 5.0GHz	NVIDIA® GeForce RTX™ 3080 Laptop GPU 16G GDDR6	17.3" FHD, 360Hz 3ms, IPS-Level	32 GB	1TB NVMe SSD	6.39 lbs			xoticpc.com
Razer	Razer Blade 17 - Full HD 360Hz - GeForce RTX 3080 - Black	$3,299.99	2.3GHz 8-core Intel i7-11800H	NVIDIA® GeForce® RTX 3080 (8GB DDR6 VRAM	17.3"	32 GB	1 TB SSD upgradable to 4 TB	6.06 lbs			razer.com
Razer	Razer Blade 17 - 4K Touch 120Hz - GeForce RTX 3080 - Black	$3,699.99	2.5GHz 8-core Intel i9-11900H	NVIDIA® GeForce® RTX 3080 (16GB DDR6 VRAM)	17.3" touch	32GB DDR4 3200MHz dual-channel memory (slotted)	1 TB SSD upgradable to 4 TB	6.06 lbs			razer.com
Razer	Razer Blade 17 - 4K 144Hz - GeForce RTX 3080 Ti - Black	$4,299.99	1.8GHz 14-core Intel i9-12900H processor, Turbo Boost up to 5GHz, with 24MB of Cache	NVIDIA® GeForce RTX™ 3080 Ti (16GB GDDR6 VRAM)	17.3" 4K 144Hz IPS-Grade Display, 100% DCI-P3	32 GB DDR5 4800MHz dual-channel memory (slotted)	1TB PCIe Gen4 NVMe upgradeable to 4TB + Open M.2 Slot (Supports 2-sided NVMe Drive)		Open M.2 Slot (Supports 2-sided NVMe Drive), upgradeable to 4TB SSD	Lacks a MicroSD slot	razer.com

Electric car comparison

In the past years, it was relatively easy to pick the best electric car, because there was only a handful of them. This year many new models arrive at the dealerships. On this page, I will try to compare them to help us to pick the best car.

Efficiency information is from https://www.fueleconomy.gov/feg/Find.do?action=sbsSelect

Federal tax credit information at https://www.fueleconomy.gov/feg/taxevb.shtml

California incentives at https://www.cleanfuelreward.com/

Electric Compact Sport Utility Vehicle (CSUV) comparison

Model	Base model	Long range	All safety features	Highest trim	Federal incetives	California incentives	Car and Driver	Edmunds	Kelley Blue Book	Range miles	Charging time 10-80%	Warranty	Battery warranty	Efficiency	Charging	Platform	Capacity	Voltage	Horsepower	Dimensions	Cargo volume
Ford Mustang Mach E 2022	Select From $43,895	Premium From $49,100	California Route 1 From $52,775		$7,500	$2,000	9.5/10		4.9/5	270 to 300	45 min. (59 miles in 10 mins)	3 years / 36,000 bumper to bumper warranty	8 years or 100,000 miles, whichever comes first, retaining a minimum of 70% of its original capacity over that period.	39 kWh/100 mi	150 kW		68-88 kWh		266 to 459 hp	186″ L x 74.1″ W x 64″ H	29.7 ft³, 59.7 ft³ with seat area
Hyundai Ioniq 5 2022		SE From $43,650	Limited From $50,600		$7,500	$750	8.5/10	8.3/10		256 to 303	18 min.	5 yr/60,000 mi basic, 10 yr/100,000 mi powertrain	10 years, 100,000 miles	30 kWh/100 mi	350 kW 800 V DC	E-GMP	77.4 kWh	800 V	225 to 320 hp	183″ L x 74″ W x 63″ H	27.2 ft³, 59.3 ft³ with seat area
Kia EV6 2024	Light RWD $40,900	Wind RWD $47,000		GT-Line AWD $55,900			8/10		4.5/5	310	18 mins.	10-year / 100,000-miles	10-year / 100,000-miles	29 kWh/100 mi	350 kW 800 V DC	E-GMP	77.4 kWh	800 V	167 - 320 hp	184.3″ L x 74″ W x 60.8″ H	24.4 ft³, 50.2 ft³ with seat area
Tesla Model Y 2022		Long range $58,990	Performance $63,990			$750	7.5/10	8.1/10		303 to 330		4 years or 50,000 mi, whichever comes first	Battery & Drive Unit - 8 years or 120,000 mi, whichever comes first	26 kWh/100 mi	250 kW		75 kWh	400 V		187″ L x 76″ W x 64″ H	30.2 ft³, 76.2 ft³ with seat area
Toyota bZ4X 2023	Coming in 2023									to 250	40 min.				355 V	e-TNGA	71.4-72.8 kWh			184.6" L x 73.2" W x 64.9" H
Volkswagen ID.4 2022		Pro From $40,760	Pro S From $45,260				8/10		5/5	240 to 260	38 min. (0-80%)	4 years or 50,000 miles (whichever occurs first)		35 kWh/100 mi		MEB			201 to 295 hp	181″ L x 73″ W x 65″ H	30.3 ft³, 64.2 ft³ with seat area
Volvo C40 Recharge	$58,750						7.5/10			226	37 min.		8-year / 100,000-mile warranty		150 kW				402 hp	175″ L x 75″ W x 63″ H	14.6 ft³, 42.6 ft³ with seat area
Volvo XC40 Recharge	P8 Twin $51,700	P8 Twin Plus $55,300	P8 Twin Ultimate $58,150		$7,500	$750	9.5/10	7.8/10	4.9/5	223	37 min.	4 years or 50,000 miles (whichever occurs first)	8-year / 100,000-mile warranty	39 kWh/100 mi	150 kW					174″ L x 75″ W x 65″ H	16 ft³, 46.9 ft³ with seat area
FOR COMPARISON Honda CRV 2022	LX From $26,400	Special edition From $27,600	EX From $28,910																190 hp	182″ L x 73″ W x 66-67″ H	37.6 to 39.2 ft³, 75.8 ft³ with seat area